{"title":"New Arrival","description":"\u003cdiv style=\"text-align: left;\"\u003e\n\u003cp\u003eDiscover the latest additions to our catalog with our New Arrivals collection – featuring cutting-edge tech, office essentials, and workspace upgrades. Stay ahead with newly launched products from top brands, handpicked to meet evolving business and personal needs. Whether you're upgrading your setup or exploring new solutions, this collection brings you the freshest options in one place.\u003c\/p\u003e\n\u003c\/div\u003e","products":[{"product_id":"poly-voyager-legend-50-ms-teams-wireless-headset-w-bt700-aj8v4aa","title":"Poly Voyager Legend 50 MS Teams Wireless Headset with BT700","description":"\u003cdiv\u003e\n\u003cstyle\u003e\n.pd-acc { border: 1px solid #e2e2e2; border-radius: 8px; margin: 10px 0; overflow: hidden; }\n.pd-acc summary { cursor: pointer; padding: 14px 16px; font-weight: 700; font-size: 1.05em; list-style: none; display: flex; justify-content: space-between; align-items: center; background: #f7f7f7; }\n.pd-acc[open] \u003e summary { border-bottom: 1px solid #e2e2e2; }\n.pd-acc summary::-webkit-details-marker { display: none; }\n.pd-acc summary::after { content: \"+\"; font-size: 1.4em; font-weight: 400; line-height: 1; margin-left: 12px; }\n.pd-acc[open] \u003e summary::after { content: \"\\2212\"; }\n.pd-acc .pd-acc-body { padding: 8px 16px 14px; }\n.pd-spec, .pd-spec tr, .pd-spec td { border: none !important; background: transparent !important; }\n.pd-spec { width: 100%; border-collapse: collapse !important; margin: 6px 0 18px; }\n.pd-spec td { padding: 7px 10px 7px 0 !important; border-bottom: 1px solid #ececec !important; vertical-align: top; font-size: 0.95em; text-align: left; }\n.pd-spec td:first-child { width: 38%; font-weight: 600; color: #333; }\n.pd-spec tr:last-child td { border-bottom: none !important; }\n\u003c\/style\u003e\n\u003ch2\u003e\u003cstrong\u003ePoly Voyager Legend 50 MS Teams Wireless Headset with BT700 (AJ8V4AA) - Local Warranty\u003c\/strong\u003e\u003c\/h2\u003e\n\u003ch3\u003e\u003cstrong\u003ePoly Voyager Legend 50 Mono Bluetooth Headset — Full Datasheet and Specifications\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp\u003eThe Poly Voyager Legend 50 is a single-ear (monaural) in-ear Bluetooth headset with four noise-cancelling microphones, WindSmart wind-noise reduction and Bluetooth Core 5.4, weighing just 20.5 g. The Legend 50 adds Poly NoiseBlockAI, which uses machine learning to identify and block background noise. It is built for professionals who take calls on the move and need to be understood the first time — on a worksite, in a taxi, or walking along a windy Marina Bay walkway.\u003c\/p\u003e\n\u003ch3\u003e\u003cstrong\u003eFour Noise-Cancelling Microphones with WindSmart and NoiseBlockAI\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp\u003eFour noise-cancelling microphones on a 74.8 mm boom pick up your voice across a 100 Hz to 8 kHz band at −37 dB FS\/Pa sensitivity, while WindSmart technology tames wind and airflow noise that ruins outdoor calls. Poly NoiseBlockAI adds machine-learning background-noise suppression on top, so keyboard clatter, traffic and office chatter are identified and blocked rather than merely attenuated. The result is a headset that holds up outdoors and in traffic, not just in a quiet meeting room.\u003c\/p\u003e\n\u003ch3\u003e\u003cstrong\u003eBluetooth Core 5.4, 30 m Range and Multipoint\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp\u003eBluetooth Core 5.4 gives up to 30 m (98 ft) of range and multipoint, so the headset holds two devices at once from up to eight paired — typically your laptop and your phone. This SKU includes the Poly BT700 Bluetooth Type-C adapter, giving your computer a dedicated, enterprise-grade wireless link rather than relying on whatever Bluetooth radio is built into the laptop. Supported profiles are A2DP 1.3, DID 1.3, HSP 1.2, BAS 0.0, AVRCP 1.5 and HFP 1.6.\u003c\/p\u003e\n\u003ch3\u003e\u003cstrong\u003eTen Hours of Talk Time, Thirty with the Charge Case\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp\u003ePoly rates the Voyager Legend 50 at up to 10 hours of talk time from a rechargeable lithium-ion battery, with a full charge in under 1.5 hours over USB Type-C. This SKU includes the portable charge case, which adds a further 20 hours for up to 30 hours total away from a power point — enough for a full week of travel between charges.\u003c\/p\u003e\n\u003ch3\u003e\u003cstrong\u003eCertified for Microsoft Teams, TCO Certified, Managed with Poly Lens\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp\u003eHP states the Voyager Legend 50 is certified for Microsoft Teams both as a USB device and over native Bluetooth, and is compatible with Zoom, Chromebook and Google Meet. The headset carries the TCO Certified ecolabel — increasingly a requirement in Singapore government and MNC procurement — and is managed through the free Poly Lens Desktop and Mobile apps for settings and firmware.\u003c\/p\u003e\n\u003cdetails class=\"pd-acc\"\u003e\u003csummary style=\"cursor: pointer; font-weight: 700;\"\u003ePoly Voyager Legend 50 Datasheet — Technical Specifications\u003c\/summary\u003e\u003cdiv class=\"pd-acc-body\"\u003e\n\u003cp\u003e\u003cstrong\u003eGeneral\u003c\/strong\u003e\u003c\/p\u003e\n\u003ctable class=\"pd-spec\"\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eModel\u003c\/td\u003e\n\u003ctd\u003ePoly Voyager Legend 50-M Headset UC\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePart Number \/ MPN\u003c\/td\u003e\n\u003ctd\u003eAJ8V4AA\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eBrand\u003c\/td\u003e\n\u003ctd\u003ePoly (HP)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eProduct Type\u003c\/td\u003e\n\u003ctd\u003eMonaural in-ear Bluetooth headset\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eWearing Style\u003c\/td\u003e\n\u003ctd\u003eIn-ear, monaural (single ear) with boom microphone\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eColour\u003c\/td\u003e\n\u003ctd\u003eBlack\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eEar Cushion Material\u003c\/td\u003e\n\u003ctd\u003eSilicone\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eEar Tips\u003c\/td\u003e\n\u003ctd\u003eThree sizes (S\/M\/L) included\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eOperating Systems\u003c\/td\u003e\n\u003ctd\u003eWindows 11; macOS; Android; iOS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eManagement Software\u003c\/td\u003e\n\u003ctd\u003ePoly Lens (downloadable; host PC requires Windows 10 or higher)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eEcolabel\u003c\/td\u003e\n\u003ctd\u003eTCO Certified\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCountry of Origin\u003c\/td\u003e\n\u003ctd\u003eMade in Vietnam\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eWarranty\u003c\/td\u003e\n\u003ctd\u003eLocal Warranty (Singapore)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\n\u003cp\u003e\u003cstrong\u003eAudio\u003c\/strong\u003e\u003c\/p\u003e\n\u003ctable class=\"pd-spec\"\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eSpeaker Size\u003c\/td\u003e\n\u003ctd\u003e13.6 mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eSpeaker Bandwidth\u003c\/td\u003e\n\u003ctd\u003e100 Hz to 20 kHz\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eSpeaker Sensitivity\u003c\/td\u003e\n\u003ctd\u003e95.5 dB SPL at 1 kHz with 200 mV input\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eImpedance\u003c\/td\u003e\n\u003ctd\u003e16 ohms\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eSignal-to-Noise Ratio\u003c\/td\u003e\n\u003ctd\u003e\u0026gt; 68 dB\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eAcoustic Protection\u003c\/td\u003e\n\u003ctd\u003eSoundGuard — limits sound below 118 dBA\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\n\u003cp\u003e\u003cstrong\u003eMicrophone\u003c\/strong\u003e\u003c\/p\u003e\n\u003ctable class=\"pd-spec\"\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eMicrophones\u003c\/td\u003e\n\u003ctd\u003e4 noise-cancelling\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMicrophone Type\u003c\/td\u003e\n\u003ctd\u003eNoise cancelling\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMicrophone Bandwidth\u003c\/td\u003e\n\u003ctd\u003e100 Hz to 8 kHz\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMicrophone Sensitivity\u003c\/td\u003e\n\u003ctd\u003e−37 dB FS\/Pa\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eBoom Microphone Length\u003c\/td\u003e\n\u003ctd\u003e74.8 mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eNoise Reduction\u003c\/td\u003e\n\u003ctd\u003eWindSmart technology + Poly NoiseBlockAI\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\n\u003cp\u003e\u003cstrong\u003eConnectivity\u003c\/strong\u003e\u003c\/p\u003e\n\u003ctable class=\"pd-spec\"\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eBluetooth Version\u003c\/td\u003e\n\u003ctd\u003eBluetooth Core 5.4\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eBluetooth Profiles\u003c\/td\u003e\n\u003ctd\u003eA2DP 1.3; DID 1.3; HSP 1.2; BAS 0.0; AVRCP 1.5; HFP 1.6\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eWireless Range\u003c\/td\u003e\n\u003ctd\u003eUp to 30 m (98 ft)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMultipoint\u003c\/td\u003e\n\u003ctd\u003eYes — connects to two devices at the same time\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePaired Devices\u003c\/td\u003e\n\u003ctd\u003eUp to 8\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eUSB Adapter\u003c\/td\u003e\n\u003ctd\u003ePoly BT700 Bluetooth Type-C adapter included, plus a USB Type-C to USB Type-A adapter\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCertifications\u003c\/td\u003e\n\u003ctd\u003eCertified for Microsoft Teams (USB and native Bluetooth); compatible with Zoom, Chromebook and Google Meet\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\n\u003cp\u003e\u003cstrong\u003eBattery\u003c\/strong\u003e\u003c\/p\u003e\n\u003ctable class=\"pd-spec\"\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eTalk Time\u003c\/td\u003e\n\u003ctd\u003eUp to 10 hours\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eTotal with Charge Case\u003c\/td\u003e\n\u003ctd\u003eUp to 30 hours (10 hours plus an extra 20 hours with the charge case)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCharge Case Contribution\u003c\/td\u003e\n\u003ctd\u003e+20 hours\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eBattery Type\u003c\/td\u003e\n\u003ctd\u003eRechargeable lithium-ion\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCharge Time\u003c\/td\u003e\n\u003ctd\u003eLess than 1.5 hours\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCharging Method\u003c\/td\u003e\n\u003ctd\u003eUSB Type-C cable or the included portable charge case\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eWireless Charging\u003c\/td\u003e\n\u003ctd\u003eQi wireless charging supported by the included portable charge case\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\n\u003cp\u003e\u003cstrong\u003eDesign \u0026amp; Power\u003c\/strong\u003e\u003c\/p\u003e\n\u003ctable class=\"pd-spec\"\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eHeadset Weight\u003c\/td\u003e\n\u003ctd\u003e20.5 g\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eHeadset Dimensions (W×D×H)\u003c\/td\u003e\n\u003ctd\u003e102.89 × 29.3 × 63.93 mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCharge Case Weight\u003c\/td\u003e\n\u003ctd\u003e100 g\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCharge Case Dimensions\u003c\/td\u003e\n\u003ctd\u003e114.48 × 63.49 × 24 mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eSmart Sensors\u003c\/td\u003e\n\u003ctd\u003eYes — answers calls when put on, mutes when removed\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eButton Controls\u003c\/td\u003e\n\u003ctd\u003ePower on\/off; Mute; Volume +\/−; Pairing; Call answer\/ignore\/end; Voice Assistant\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eVoice Assistant\u003c\/td\u003e\n\u003ctd\u003eSupported via a dedicated control\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eVoice Alerts\u003c\/td\u003e\n\u003ctd\u003eMuted; incoming call; battery status\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eVoice Commands\u003c\/td\u003e\n\u003ctd\u003eAnswer; Ignore\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePackage Weight \/ Dimensions\u003c\/td\u003e\n\u003ctd\u003e220 g; 91 × 55 × 145 mm (UC SKU)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\n\u003cp\u003e\u003cem\u003eSpecifications are taken from HP's published product-specification tables and the HP Poly Voyager Legend 50 Series product page for this exact part number. Figures HP does not publish for this model — standby time, IP rating, battery capacity in mAh, a quick-charge claim, Bluetooth codec support and operating temperature — have been left out rather than estimated. In particular, \u003cstrong\u003eno IP rating is published for this headset\u003c\/strong\u003e, so we make no water or sweat-resistance claim.\u003c\/em\u003e\u003c\/p\u003e\n\u003c\/div\u003e\u003c\/details\u003e\u003cdetails class=\"pd-acc\"\u003e\u003csummary style=\"cursor: pointer; font-weight: 700;\"\u003eCompatibility \u0026amp; Software Support\u003c\/summary\u003e\u003cdiv class=\"pd-acc-body\"\u003e\n\u003cp\u003eThe Poly Voyager Legend 50 is certified for Microsoft Teams both as a USB device and over native Bluetooth, and HP lists it as compatible with Zoom, Chromebook and Google Meet. It holds two connections at once from up to eight paired devices.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003ePlatforms, Standards \u0026amp; Management\u003c\/strong\u003e\u003c\/p\u003e\n\u003ctable class=\"pd-spec\"\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eMicrosoft Teams\u003c\/td\u003e\n\u003ctd\u003eCertified for Microsoft Teams — as a USB device and as native Bluetooth\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eOther Platforms\u003c\/td\u003e\n\u003ctd\u003eCompatible with Zoom, Chromebook and Google Meet\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eOperating Systems\u003c\/td\u003e\n\u003ctd\u003eWindows 11; macOS; Android; iOS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eComputer Connection\u003c\/td\u003e\n\u003ctd\u003ePoly BT700 Bluetooth Type-C adapter (included), or native Bluetooth\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMobile Connection\u003c\/td\u003e\n\u003ctd\u003eNative Bluetooth Core 5.4 to smartphones and tablets\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eBluetooth Profiles\u003c\/td\u003e\n\u003ctd\u003eA2DP 1.3; DID 1.3; HSP 1.2; BAS 0.0; AVRCP 1.5; HFP 1.6\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMultipoint\u003c\/td\u003e\n\u003ctd\u003eTwo simultaneous connections from up to eight paired devices\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePoly Lens\u003c\/td\u003e\n\u003ctd\u003ePoly Lens Desktop and Mobile — settings, sensor behaviour and firmware updates. Host PC requires Windows 10 or higher\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\n\u003cp\u003e\u003cstrong\u003eUSB \/ BYOD device mode.\u003c\/strong\u003e With the bundled BT700 adapter plugged in, the headset appears to the computer as a standard USB audio device, so any softphone or meeting client that uses the system audio device will find it — no driver install, no vendor plug-in. The supplied USB Type-C to USB Type-A adapter covers machines without a Type-C port. This is the configuration Microsoft certifies for Teams as a USB device.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003ePoly Lens management.\u003c\/strong\u003e Poly Lens is free and optional for a single user, and worth deploying for a fleet: it handles firmware, per-device configuration and reporting across Poly headsets and room devices from one console.\u003c\/p\u003e\n\u003c\/div\u003e\u003c\/details\u003e\u003cdetails class=\"pd-acc\"\u003e\u003csummary style=\"cursor: pointer; font-weight: 700;\"\u003ePackage Contents \u0026amp; Voyager Legend Ordering Information\u003c\/summary\u003e\u003cdiv class=\"pd-acc-body\"\u003e\n\u003cp\u003e\u003cstrong\u003eIn the box\u003c\/strong\u003e — as published by HP for part number AJ8V4AA:\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eUSB Type-C charging cable\u003c\/li\u003e\n\u003cli\u003eQuick start guide\u003c\/li\u003e\n\u003cli\u003eHeadset\u003c\/li\u003e\n\u003cli\u003eCharging case\u003c\/li\u003e\n\u003cli\u003eBT700 Bluetooth Type-C adapter\u003c\/li\u003e\n\u003cli\u003eUSB Type-C to USB Type-A adapter\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cstrong\u003eVoyager Legend 50 \/ 30 Series — Ordering Information\u003c\/strong\u003e\u003c\/p\u003e\n\u003ctable class=\"pd-spec\"\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003ePoly Voyager Legend 50-M (MS Teams) with BT700 + charge case (this listing)\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eAJ8V4AA\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003ca href=\"\/products\/poly-voyager-legend-50-uc-wireless-headset-w-bt700-at9m9aa\"\u003ePoly Voyager Legend 50 UC with BT700 + charge case\u003c\/a\u003e\u003c\/td\u003e\n\u003ctd\u003eAT9M9AA\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003ca href=\"\/products\/poly-voyager-legend-50-headset-av4p1aa\"\u003ePoly Voyager Legend 50 — headset only, no adapter, no case\u003c\/a\u003e\u003c\/td\u003e\n\u003ctd\u003eAV4P1AA\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003ca href=\"\/products\/poly-voyager-legend-30-headset-av4p5aa\"\u003ePoly Voyager Legend 30 — headset only, no adapter, no case\u003c\/a\u003e\u003c\/td\u003e\n\u003ctd\u003eAV4P5AA\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\n\u003cp\u003e\u003cstrong\u003eWhat Each SKU Includes\u003c\/strong\u003e\u003c\/p\u003e\n\u003ctable class=\"pd-spec\"\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003ePoly BT700 Bluetooth adapter\u003c\/td\u003e\n\u003ctd\u003eAJ8V4AA and AT9M9AA only\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePortable Qi charge case\u003c\/td\u003e\n\u003ctd\u003eAJ8V4AA and AT9M9AA only\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMicrosoft Teams “-M” variant\u003c\/td\u003e\n\u003ctd\u003eAJ8V4AA only\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePoly NoiseBlockAI\u003c\/td\u003e\n\u003ctd\u003eAll Legend 50 SKUs (AJ8V4AA, AT9M9AA, AV4P1AA). Not listed for the Legend 30\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eHeadset, USB-C charging cable, USB-C to USB-A adapter, quick start guide\u003c\/td\u003e\n\u003ctd\u003eAll four SKUs\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\n\u003cp\u003eAll four SKUs share the same platform specification — Bluetooth Core 5.4, a 13.6 mm driver, 20.5 g, up to 10 hours of talk time and 30 m of range. What differs is what is in the box and, between the Legend 50 and Legend 30, the NoiseBlockAI feature.\u003c\/p\u003e\n\u003c\/div\u003e\u003c\/details\u003e\u003cdetails class=\"pd-acc\"\u003e\u003csummary style=\"cursor: pointer; font-weight: 700;\"\u003eDatasheet \u0026amp; Downloads\u003c\/summary\u003e\u003cdiv class=\"pd-acc-body\"\u003e\n\u003cp\u003eOfficial Poly and HP resources for the Poly Voyager Legend 50. Every link below was checked before publication.\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/www.hp.com\/sg-en\/poly\/headsets\/bluetooth-headsets-and-earbuds\/voyager-legend-50-series.html\" target=\"_blank\" rel=\"noopener\"\u003eHP Poly Voyager Legend 50 Series — HP Singapore product page\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/www.hp.com\/sa-en\/products\/accessories\/product-details\/product-specifications\/2102559461\" target=\"_blank\" rel=\"noopener\"\u003eHP Product Specifications — Poly Voyager Legend 50-M Headset UC (AJ8V4AA)\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/kaas.hpcloud.hp.com\/pdf-public\/pdf_11156118_en-US-1.pdf\" target=\"_blank\" rel=\"noopener\"\u003ePoly Voyager Legend 50 — User Guide (HP-hosted PDF)\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/www.hp.com\/sg-en\/tech-takes\/accessories\/comparison\/poly-voyager-legend-30-vs-50-comparison.html\" target=\"_blank\" rel=\"noopener\"\u003eHP Tech Takes — Poly Voyager Legend 30 vs Legend 50 comparison\u003c\/a\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003c\/details\u003e\u003cdetails class=\"pd-acc\"\u003e\u003csummary style=\"cursor: pointer; font-weight: 700;\"\u003eFrequently Asked Questions — Poly Voyager Legend 50\u003c\/summary\u003e\u003cdiv class=\"pd-acc-body\"\u003e\n\u003cp\u003e\u003cstrong\u003eHow is this AJ8V4AA different from the AT9M9AA Legend 50 UC?\u003c\/strong\u003e\u003cbr\u003eHP's official name for AJ8V4AA is “Poly Voyager Legend 50-M Headset UC” — the “-M” is the Microsoft Teams variant designation. HP publishes identical specification tables and identical box contents for AJ8V4AA and \u003ca href=\"\/products\/poly-voyager-legend-50-uc-wireless-headset-w-bt700-at9m9aa\"\u003eAT9M9AA\u003c\/a\u003e: same headset, same BT700 Type-C adapter, same Qi charge case. The distinction is the Teams-tuned variant designation. If Microsoft Teams is your primary calling platform, order this one; if you run a mixed or non-Microsoft UC estate, AT9M9AA is the equivalent.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eHow does the Voyager Legend 50 compare with the Voyager Legend 30?\u003c\/strong\u003e\u003cbr\u003eThey share the same platform — Bluetooth Core 5.4, a 13.6 mm driver, 20.5 g, four noise-cancelling microphones, WindSmart, up to 10 hours of talk time and 30 m of range. The Legend 50 adds Poly NoiseBlockAI machine-learning noise suppression, which HP does not list for the \u003ca href=\"\/products\/poly-voyager-legend-30-headset-av4p5aa\"\u003eLegend 30\u003c\/a\u003e. If most of your calls happen in noisy environments, NoiseBlockAI is the reason to pay the difference. If you mainly need a clean, comfortable single-ear Bluetooth headset, the Legend 30 does the job for less.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eIs this headset suitable for outdoor and on-the-move calling in Singapore?\u003c\/strong\u003e\u003cbr\u003eThat is precisely what it is designed for. Four noise-cancelling microphones plus WindSmart wind-noise reduction, plus Poly NoiseBlockAI machine-learning noise suppression target the two things that ruin mobile calls here: wind along the waterfront and open-air traffic noise. The single-ear design keeps your other ear open to your surroundings, which matters for safety when you are walking or on a site. Do note that HP publishes \u003cstrong\u003eno IP rating\u003c\/strong\u003e for this model, so we make no claim about rain or sweat resistance.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eHow many hours will it actually run, and what is the charge time?\u003c\/strong\u003e\u003cbr\u003ePoly rates the headset at up to 10 hours of talk time, with a full charge in under 1.5 hours over USB Type-C. This SKU includes the portable Qi charge case, which adds a further 20 hours for up to 30 hours total away from a power point.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eDo I need a licence, subscription or dongle to use it?\u003c\/strong\u003e\u003cbr\u003eNo licence and no subscription. The BT700 Bluetooth Type-C adapter is included in the box for a dedicated computer link, and a USB Type-C to USB Type-A adapter is supplied for machines without a Type-C port. Poly Lens Desktop and Mobile are free and optional, used for settings and firmware updates; the host PC needs Windows 10 or higher to run Poly Lens.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eCan I connect it to my laptop and my phone at the same time?\u003c\/strong\u003e\u003cbr\u003eYes. Bluetooth Core 5.4 with multipoint holds two connections at once from up to eight paired devices, with a range of up to 30 m (98 ft). Certification for Microsoft Teams covers both the USB-device path and native Bluetooth.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eDoes this headset come with a Singapore warranty and a GST invoice?\u003c\/strong\u003e\u003cbr\u003eYes. Every Poly Voyager Legend 50 sold by SourceIT comes with local Singapore warranty and a GST invoice.\u003c\/p\u003e\n\u003c\/div\u003e\u003c\/details\u003e\u003cp\u003e\u003ciframe width=\"560\" height=\"315\" src=\"https:\/\/www.youtube.com\/embed\/HgpVehGHJrM\" title=\"YouTube video player\"\u003e\u003c\/iframe\u003e\u003c\/p\u003e\n\u003cp\u003e\u003ciframe width=\"560\" height=\"315\" src=\"https:\/\/www.youtube.com\/embed\/1PJuXR2LR3U\" title=\"YouTube video player\"\u003e\u003c\/iframe\u003e\u003c\/p\u003e\n\u003c\/div\u003e","brand":"Poly | Plantronic","offers":[{"title":"Default Title","offer_id":50928937992356,"sku":"AJ8V4AA","price":265.0,"currency_code":"SGD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0605\/0136\/0804\/files\/PolyVoyagerLegend50MSTeamsWirelessHeadset.jpg?v=1780448453"},{"product_id":"poly-voyager-legend-50-uc-wireless-headset-w-bt700-at9m9aa","title":"Poly Voyager Legend 50 UC Wireless Headset with BT700","description":"\u003cdiv\u003e\n\u003cstyle\u003e\n.pd-acc { border: 1px solid #e2e2e2; border-radius: 8px; margin: 10px 0; overflow: hidden; }\n.pd-acc summary { cursor: pointer; padding: 14px 16px; font-weight: 700; font-size: 1.05em; list-style: none; display: flex; justify-content: space-between; align-items: center; background: #f7f7f7; }\n.pd-acc[open] \u003e summary { border-bottom: 1px solid #e2e2e2; }\n.pd-acc summary::-webkit-details-marker { display: none; }\n.pd-acc summary::after { content: \"+\"; font-size: 1.4em; font-weight: 400; line-height: 1; margin-left: 12px; }\n.pd-acc[open] \u003e summary::after { content: \"\\2212\"; }\n.pd-acc .pd-acc-body { padding: 8px 16px 14px; }\n.pd-spec, .pd-spec tr, .pd-spec td { border: none !important; background: transparent !important; }\n.pd-spec { width: 100%; border-collapse: collapse !important; margin: 6px 0 18px; }\n.pd-spec td { padding: 7px 10px 7px 0 !important; border-bottom: 1px solid #ececec !important; vertical-align: top; font-size: 0.95em; text-align: left; }\n.pd-spec td:first-child { width: 38%; font-weight: 600; color: #333; }\n.pd-spec tr:last-child td { border-bottom: none !important; }\n\u003c\/style\u003e\n\u003ch2\u003e\u003cstrong\u003ePoly Voyager Legend 50 UC Wireless Headset with BT700 (AT9M9AA) - Local Warranty\u003c\/strong\u003e\u003c\/h2\u003e\n\u003ch3\u003e\u003cstrong\u003ePoly Voyager Legend 50 Mono Bluetooth Headset — Full Datasheet and Specifications\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp\u003eThe Poly Voyager Legend 50 is a single-ear (monaural) in-ear Bluetooth headset with four noise-cancelling microphones, WindSmart wind-noise reduction and Bluetooth Core 5.4, weighing just 20.5 g. The Legend 50 adds Poly NoiseBlockAI, which uses machine learning to identify and block background noise. It is built for professionals who take calls on the move and need to be understood the first time — on a worksite, in a taxi, or walking along a windy Marina Bay walkway.\u003c\/p\u003e\n\u003ch3\u003e\u003cstrong\u003eFour Noise-Cancelling Microphones with WindSmart and NoiseBlockAI\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp\u003eFour noise-cancelling microphones on a 74.8 mm boom pick up your voice across a 100 Hz to 8 kHz band at −37 dB FS\/Pa sensitivity, while WindSmart technology tames wind and airflow noise that ruins outdoor calls. Poly NoiseBlockAI adds machine-learning background-noise suppression on top, so keyboard clatter, traffic and office chatter are identified and blocked rather than merely attenuated. The result is a headset that holds up outdoors and in traffic, not just in a quiet meeting room.\u003c\/p\u003e\n\u003ch3\u003e\u003cstrong\u003eBluetooth Core 5.4, 30 m Range and Multipoint\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp\u003eBluetooth Core 5.4 gives up to 30 m (98 ft) of range and multipoint, so the headset holds two devices at once from up to eight paired — typically your laptop and your phone. This SKU includes the Poly BT700 Bluetooth Type-C adapter, giving your computer a dedicated, enterprise-grade wireless link rather than relying on whatever Bluetooth radio is built into the laptop. Supported profiles are A2DP 1.3, DID 1.3, HSP 1.2, BAS 0.0, AVRCP 1.5 and HFP 1.6.\u003c\/p\u003e\n\u003ch3\u003e\u003cstrong\u003eTen Hours of Talk Time, Thirty with the Charge Case\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp\u003ePoly rates the Voyager Legend 50 at up to 10 hours of talk time from a rechargeable lithium-ion battery, with a full charge in under 1.5 hours over USB Type-C. This SKU includes the portable charge case, which adds a further 20 hours for up to 30 hours total away from a power point — enough for a full week of travel between charges.\u003c\/p\u003e\n\u003ch3\u003e\u003cstrong\u003eCertified for Microsoft Teams, TCO Certified, Managed with Poly Lens\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp\u003eHP states the Voyager Legend 50 is certified for Microsoft Teams both as a USB device and over native Bluetooth, and is compatible with Zoom, Chromebook and Google Meet. The headset carries the TCO Certified ecolabel — increasingly a requirement in Singapore government and MNC procurement — and is managed through the free Poly Lens Desktop and Mobile apps for settings and firmware.\u003c\/p\u003e\n\u003cdetails class=\"pd-acc\"\u003e\u003csummary style=\"cursor: pointer; font-weight: 700;\"\u003ePoly Voyager Legend 50 Datasheet — Technical Specifications\u003c\/summary\u003e\u003cdiv class=\"pd-acc-body\"\u003e\n\u003cp\u003e\u003cstrong\u003eGeneral\u003c\/strong\u003e\u003c\/p\u003e\n\u003ctable class=\"pd-spec\"\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eModel\u003c\/td\u003e\n\u003ctd\u003ePoly Voyager Legend 50 Headset UC\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePart Number \/ MPN\u003c\/td\u003e\n\u003ctd\u003eAT9M9AA\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eBrand\u003c\/td\u003e\n\u003ctd\u003ePoly (HP)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eProduct Type\u003c\/td\u003e\n\u003ctd\u003eMonaural in-ear Bluetooth headset\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eWearing Style\u003c\/td\u003e\n\u003ctd\u003eIn-ear, monaural (single ear) with boom microphone\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eColour\u003c\/td\u003e\n\u003ctd\u003eBlack\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eEar Cushion Material\u003c\/td\u003e\n\u003ctd\u003eSilicone\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eEar Tips\u003c\/td\u003e\n\u003ctd\u003eThree sizes (S\/M\/L) included\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eOperating Systems\u003c\/td\u003e\n\u003ctd\u003eWindows 11; macOS; Android; iOS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eManagement Software\u003c\/td\u003e\n\u003ctd\u003ePoly Lens (downloadable; host PC requires Windows 10 or higher)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eEcolabel\u003c\/td\u003e\n\u003ctd\u003eTCO Certified\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCountry of Origin\u003c\/td\u003e\n\u003ctd\u003eMade in Vietnam\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eWarranty\u003c\/td\u003e\n\u003ctd\u003eLocal Warranty (Singapore)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\n\u003cp\u003e\u003cstrong\u003eAudio\u003c\/strong\u003e\u003c\/p\u003e\n\u003ctable class=\"pd-spec\"\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eSpeaker Size\u003c\/td\u003e\n\u003ctd\u003e13.6 mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eSpeaker Bandwidth\u003c\/td\u003e\n\u003ctd\u003e100 Hz to 20 kHz\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eSpeaker Sensitivity\u003c\/td\u003e\n\u003ctd\u003e95.5 dB SPL at 1 kHz with 200 mV input\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eImpedance\u003c\/td\u003e\n\u003ctd\u003e16 ohms\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eSignal-to-Noise Ratio\u003c\/td\u003e\n\u003ctd\u003e\u0026gt; 68 dB\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eAcoustic Protection\u003c\/td\u003e\n\u003ctd\u003eSoundGuard — limits sound below 118 dBA\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\n\u003cp\u003e\u003cstrong\u003eMicrophone\u003c\/strong\u003e\u003c\/p\u003e\n\u003ctable class=\"pd-spec\"\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eMicrophones\u003c\/td\u003e\n\u003ctd\u003e4 noise-cancelling\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMicrophone Type\u003c\/td\u003e\n\u003ctd\u003eNoise cancelling\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMicrophone Bandwidth\u003c\/td\u003e\n\u003ctd\u003e100 Hz to 8 kHz\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMicrophone Sensitivity\u003c\/td\u003e\n\u003ctd\u003e−37 dB FS\/Pa\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eBoom Microphone Length\u003c\/td\u003e\n\u003ctd\u003e74.8 mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eNoise Reduction\u003c\/td\u003e\n\u003ctd\u003eWindSmart technology + Poly NoiseBlockAI\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\n\u003cp\u003e\u003cstrong\u003eConnectivity\u003c\/strong\u003e\u003c\/p\u003e\n\u003ctable class=\"pd-spec\"\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eBluetooth Version\u003c\/td\u003e\n\u003ctd\u003eBluetooth Core 5.4\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eBluetooth Profiles\u003c\/td\u003e\n\u003ctd\u003eA2DP 1.3; DID 1.3; HSP 1.2; BAS 0.0; AVRCP 1.5; HFP 1.6\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eWireless Range\u003c\/td\u003e\n\u003ctd\u003eUp to 30 m (98 ft)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMultipoint\u003c\/td\u003e\n\u003ctd\u003eYes — connects to two devices at the same time\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePaired Devices\u003c\/td\u003e\n\u003ctd\u003eUp to 8\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eUSB Adapter\u003c\/td\u003e\n\u003ctd\u003ePoly BT700 Bluetooth Type-C adapter included, plus a USB Type-C to USB Type-A adapter\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCertifications\u003c\/td\u003e\n\u003ctd\u003eCertified for Microsoft Teams (USB and native Bluetooth); compatible with Zoom, Chromebook and Google Meet\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\n\u003cp\u003e\u003cstrong\u003eBattery\u003c\/strong\u003e\u003c\/p\u003e\n\u003ctable class=\"pd-spec\"\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eTalk Time\u003c\/td\u003e\n\u003ctd\u003eUp to 10 hours\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eTotal with Charge Case\u003c\/td\u003e\n\u003ctd\u003eUp to 30 hours (10 hours plus an extra 20 hours with the charge case)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCharge Case Contribution\u003c\/td\u003e\n\u003ctd\u003e+20 hours\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eBattery Type\u003c\/td\u003e\n\u003ctd\u003eRechargeable lithium-ion\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCharge Time\u003c\/td\u003e\n\u003ctd\u003eLess than 1.5 hours\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCharging Method\u003c\/td\u003e\n\u003ctd\u003eUSB Type-C cable or the included portable charge case\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eWireless Charging\u003c\/td\u003e\n\u003ctd\u003eQi wireless charging supported by the included portable charge case\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\n\u003cp\u003e\u003cstrong\u003eDesign \u0026amp; Power\u003c\/strong\u003e\u003c\/p\u003e\n\u003ctable class=\"pd-spec\"\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eHeadset Weight\u003c\/td\u003e\n\u003ctd\u003e20.5 g\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eHeadset Dimensions (W×D×H)\u003c\/td\u003e\n\u003ctd\u003e102.89 × 29.3 × 63.93 mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCharge Case Weight\u003c\/td\u003e\n\u003ctd\u003e100 g\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCharge Case Dimensions\u003c\/td\u003e\n\u003ctd\u003e114.48 × 63.49 × 24 mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eSmart Sensors\u003c\/td\u003e\n\u003ctd\u003eYes — answers calls when put on, mutes when removed\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eButton Controls\u003c\/td\u003e\n\u003ctd\u003ePower on\/off; Mute; Volume +\/−; Pairing; Call answer\/ignore\/end; Voice Assistant\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eVoice Assistant\u003c\/td\u003e\n\u003ctd\u003eSupported via a dedicated control\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eVoice Alerts\u003c\/td\u003e\n\u003ctd\u003eMuted; incoming call; battery status\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eVoice Commands\u003c\/td\u003e\n\u003ctd\u003eAnswer; Ignore\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePackage Weight \/ Dimensions\u003c\/td\u003e\n\u003ctd\u003e220 g; 91 × 55 × 145 mm (UC SKU)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\n\u003cp\u003e\u003cem\u003eSpecifications are taken from HP's published product-specification tables and the HP Poly Voyager Legend 50 Series product page for this exact part number. Figures HP does not publish for this model — standby time, IP rating, battery capacity in mAh, a quick-charge claim, Bluetooth codec support and operating temperature — have been left out rather than estimated. In particular, \u003cstrong\u003eno IP rating is published for this headset\u003c\/strong\u003e, so we make no water or sweat-resistance claim.\u003c\/em\u003e\u003c\/p\u003e\n\u003c\/div\u003e\u003c\/details\u003e\u003cdetails class=\"pd-acc\"\u003e\u003csummary style=\"cursor: pointer; font-weight: 700;\"\u003eCompatibility \u0026amp; Software Support\u003c\/summary\u003e\u003cdiv class=\"pd-acc-body\"\u003e\n\u003cp\u003eThe Poly Voyager Legend 50 is certified for Microsoft Teams both as a USB device and over native Bluetooth, and HP lists it as compatible with Zoom, Chromebook and Google Meet. It holds two connections at once from up to eight paired devices.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003ePlatforms, Standards \u0026amp; Management\u003c\/strong\u003e\u003c\/p\u003e\n\u003ctable class=\"pd-spec\"\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eMicrosoft Teams\u003c\/td\u003e\n\u003ctd\u003eCertified for Microsoft Teams — as a USB device and as native Bluetooth\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eOther Platforms\u003c\/td\u003e\n\u003ctd\u003eCompatible with Zoom, Chromebook and Google Meet\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eOperating Systems\u003c\/td\u003e\n\u003ctd\u003eWindows 11; macOS; Android; iOS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eComputer Connection\u003c\/td\u003e\n\u003ctd\u003ePoly BT700 Bluetooth Type-C adapter (included), or native Bluetooth\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMobile Connection\u003c\/td\u003e\n\u003ctd\u003eNative Bluetooth Core 5.4 to smartphones and tablets\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eBluetooth Profiles\u003c\/td\u003e\n\u003ctd\u003eA2DP 1.3; DID 1.3; HSP 1.2; BAS 0.0; AVRCP 1.5; HFP 1.6\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMultipoint\u003c\/td\u003e\n\u003ctd\u003eTwo simultaneous connections from up to eight paired devices\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePoly Lens\u003c\/td\u003e\n\u003ctd\u003ePoly Lens Desktop and Mobile — settings, sensor behaviour and firmware updates. Host PC requires Windows 10 or higher\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\n\u003cp\u003e\u003cstrong\u003eUSB \/ BYOD device mode.\u003c\/strong\u003e With the bundled BT700 adapter plugged in, the headset appears to the computer as a standard USB audio device, so any softphone or meeting client that uses the system audio device will find it — no driver install, no vendor plug-in. The supplied USB Type-C to USB Type-A adapter covers machines without a Type-C port. This is the configuration Microsoft certifies for Teams as a USB device.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003ePoly Lens management.\u003c\/strong\u003e Poly Lens is free and optional for a single user, and worth deploying for a fleet: it handles firmware, per-device configuration and reporting across Poly headsets and room devices from one console.\u003c\/p\u003e\n\u003c\/div\u003e\u003c\/details\u003e\u003cdetails class=\"pd-acc\"\u003e\u003csummary style=\"cursor: pointer; font-weight: 700;\"\u003ePackage Contents \u0026amp; Voyager Legend Ordering Information\u003c\/summary\u003e\u003cdiv class=\"pd-acc-body\"\u003e\n\u003cp\u003e\u003cstrong\u003eIn the box\u003c\/strong\u003e — as published by HP for part number AT9M9AA:\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eUSB Type-C charging cable\u003c\/li\u003e\n\u003cli\u003eQuick start guide\u003c\/li\u003e\n\u003cli\u003eHeadset\u003c\/li\u003e\n\u003cli\u003eCharging case\u003c\/li\u003e\n\u003cli\u003eBT700 Bluetooth Type-C adapter\u003c\/li\u003e\n\u003cli\u003eUSB Type-C to USB Type-A adapter\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cstrong\u003eVoyager Legend 50 \/ 30 Series — Ordering Information\u003c\/strong\u003e\u003c\/p\u003e\n\u003ctable class=\"pd-spec\"\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003ca href=\"\/products\/poly-voyager-legend-50-ms-teams-wireless-headset-w-bt700-aj8v4aa\"\u003ePoly Voyager Legend 50-M (MS Teams) with BT700 + charge case\u003c\/a\u003e\u003c\/td\u003e\n\u003ctd\u003eAJ8V4AA\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003ePoly Voyager Legend 50 UC with BT700 + charge case (this listing)\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eAT9M9AA\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003ca href=\"\/products\/poly-voyager-legend-50-headset-av4p1aa\"\u003ePoly Voyager Legend 50 — headset only, no adapter, no case\u003c\/a\u003e\u003c\/td\u003e\n\u003ctd\u003eAV4P1AA\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003ca href=\"\/products\/poly-voyager-legend-30-headset-av4p5aa\"\u003ePoly Voyager Legend 30 — headset only, no adapter, no case\u003c\/a\u003e\u003c\/td\u003e\n\u003ctd\u003eAV4P5AA\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\n\u003cp\u003e\u003cstrong\u003eWhat Each SKU Includes\u003c\/strong\u003e\u003c\/p\u003e\n\u003ctable class=\"pd-spec\"\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003ePoly BT700 Bluetooth adapter\u003c\/td\u003e\n\u003ctd\u003eAJ8V4AA and AT9M9AA only\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePortable Qi charge case\u003c\/td\u003e\n\u003ctd\u003eAJ8V4AA and AT9M9AA only\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMicrosoft Teams “-M” variant\u003c\/td\u003e\n\u003ctd\u003eAJ8V4AA only\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePoly NoiseBlockAI\u003c\/td\u003e\n\u003ctd\u003eAll Legend 50 SKUs (AJ8V4AA, AT9M9AA, AV4P1AA). Not listed for the Legend 30\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eHeadset, USB-C charging cable, USB-C to USB-A adapter, quick start guide\u003c\/td\u003e\n\u003ctd\u003eAll four SKUs\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\n\u003cp\u003eAll four SKUs share the same platform specification — Bluetooth Core 5.4, a 13.6 mm driver, 20.5 g, up to 10 hours of talk time and 30 m of range. What differs is what is in the box and, between the Legend 50 and Legend 30, the NoiseBlockAI feature.\u003c\/p\u003e\n\u003c\/div\u003e\u003c\/details\u003e\u003cdetails class=\"pd-acc\"\u003e\u003csummary style=\"cursor: pointer; font-weight: 700;\"\u003eDatasheet \u0026amp; Downloads\u003c\/summary\u003e\u003cdiv class=\"pd-acc-body\"\u003e\n\u003cp\u003eOfficial Poly and HP resources for the Poly Voyager Legend 50. Every link below was checked before publication.\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/www.hp.com\/sg-en\/poly\/headsets\/bluetooth-headsets-and-earbuds\/voyager-legend-50-series.html\" target=\"_blank\" rel=\"noopener\"\u003eHP Poly Voyager Legend 50 Series — HP Singapore product page\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/www.hp.com\/lk-en\/products\/accessories\/product-details\/2102641209\" target=\"_blank\" rel=\"noopener\"\u003eHP Product Specifications — Poly Voyager Legend 50 Headset UC (AT9M9AA)\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/kaas.hpcloud.hp.com\/pdf-public\/pdf_11156118_en-US-1.pdf\" target=\"_blank\" rel=\"noopener\"\u003ePoly Voyager Legend 50 — User Guide (HP-hosted PDF)\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/www.hp.com\/sg-en\/tech-takes\/accessories\/comparison\/poly-voyager-legend-30-vs-50-comparison.html\" target=\"_blank\" rel=\"noopener\"\u003eHP Tech Takes — Poly Voyager Legend 30 vs Legend 50 comparison\u003c\/a\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003c\/details\u003e\u003cdetails class=\"pd-acc\"\u003e\u003csummary style=\"cursor: pointer; font-weight: 700;\"\u003eFrequently Asked Questions — Poly Voyager Legend 50\u003c\/summary\u003e\u003cdiv class=\"pd-acc-body\"\u003e\n\u003cp\u003e\u003cstrong\u003eHow is this AT9M9AA different from the AJ8V4AA Legend 50-M?\u003c\/strong\u003e\u003cbr\u003eHP publishes identical specification tables and identical box contents for both — same headset, same BT700 Bluetooth Type-C adapter, same Qi charge case. The difference is the variant designation: \u003ca href=\"\/products\/poly-voyager-legend-50-ms-teams-wireless-headset-w-bt700-aj8v4aa\"\u003eAJ8V4AA\u003c\/a\u003e is HP's “Voyager Legend 50-M Headset UC”, the Microsoft Teams variant. Order AT9M9AA for a general or mixed UC estate, and the -M version if Teams is your primary calling platform.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eHow does the Voyager Legend 50 compare with the Voyager Legend 30?\u003c\/strong\u003e\u003cbr\u003eThey share the same platform — Bluetooth Core 5.4, a 13.6 mm driver, 20.5 g, four noise-cancelling microphones, WindSmart, up to 10 hours of talk time and 30 m of range. The Legend 50 adds Poly NoiseBlockAI machine-learning noise suppression, which HP does not list for the \u003ca href=\"\/products\/poly-voyager-legend-30-headset-av4p5aa\"\u003eLegend 30\u003c\/a\u003e. If most of your calls happen in noisy environments, NoiseBlockAI is the reason to pay the difference. If you mainly need a clean, comfortable single-ear Bluetooth headset, the Legend 30 does the job for less.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eIs this headset suitable for outdoor and on-the-move calling in Singapore?\u003c\/strong\u003e\u003cbr\u003eThat is precisely what it is designed for. Four noise-cancelling microphones plus WindSmart wind-noise reduction, plus Poly NoiseBlockAI machine-learning noise suppression target the two things that ruin mobile calls here: wind along the waterfront and open-air traffic noise. The single-ear design keeps your other ear open to your surroundings, which matters for safety when you are walking or on a site. Do note that HP publishes \u003cstrong\u003eno IP rating\u003c\/strong\u003e for this model, so we make no claim about rain or sweat resistance.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eHow many hours will it actually run, and what is the charge time?\u003c\/strong\u003e\u003cbr\u003ePoly rates the headset at up to 10 hours of talk time, with a full charge in under 1.5 hours over USB Type-C. This SKU includes the portable Qi charge case, which adds a further 20 hours for up to 30 hours total away from a power point.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eDo I need a licence, subscription or dongle to use it?\u003c\/strong\u003e\u003cbr\u003eNo licence and no subscription. The BT700 Bluetooth Type-C adapter is included in the box for a dedicated computer link, and a USB Type-C to USB Type-A adapter is supplied for machines without a Type-C port. Poly Lens Desktop and Mobile are free and optional, used for settings and firmware updates; the host PC needs Windows 10 or higher to run Poly Lens.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eCan I connect it to my laptop and my phone at the same time?\u003c\/strong\u003e\u003cbr\u003eYes. Bluetooth Core 5.4 with multipoint holds two connections at once from up to eight paired devices, with a range of up to 30 m (98 ft). Certification for Microsoft Teams covers both the USB-device path and native Bluetooth.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eDoes this headset come with a Singapore warranty and a GST invoice?\u003c\/strong\u003e\u003cbr\u003eYes. Every Poly Voyager Legend 50 sold by SourceIT comes with local Singapore warranty and a GST invoice.\u003c\/p\u003e\n\u003c\/div\u003e\u003c\/details\u003e\u003cp\u003e\u003ciframe width=\"560\" height=\"315\" src=\"https:\/\/www.youtube.com\/embed\/HgpVehGHJrM\" title=\"YouTube video player\"\u003e\u003c\/iframe\u003e\u003c\/p\u003e\n\u003cp\u003e\u003ciframe width=\"560\" height=\"315\" src=\"https:\/\/www.youtube.com\/embed\/1PJuXR2LR3U\" title=\"YouTube video player\"\u003e\u003c\/iframe\u003e\u003c\/p\u003e\n\u003c\/div\u003e","brand":"Poly | Plantronic","offers":[{"title":"Default Title","offer_id":50928990290084,"sku":"AT9M9AA","price":265.0,"currency_code":"SGD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0605\/0136\/0804\/files\/PolyVoyagerLegend50MSTeamsWirelessHeadset.jpg?v=1780448453"},{"product_id":"poly-voyager-legend-30-headset-av4p5aa","title":"Poly Voyager Legend 30 Headset","description":"\u003cdiv\u003e\n\u003cstyle\u003e\n.pd-acc { border: 1px solid #e2e2e2; border-radius: 8px; margin: 10px 0; overflow: hidden; }\n.pd-acc summary { cursor: pointer; padding: 14px 16px; font-weight: 700; font-size: 1.05em; list-style: none; display: flex; justify-content: space-between; align-items: center; background: #f7f7f7; }\n.pd-acc[open] \u003e summary { border-bottom: 1px solid #e2e2e2; }\n.pd-acc summary::-webkit-details-marker { display: none; }\n.pd-acc summary::after { content: \"+\"; font-size: 1.4em; font-weight: 400; line-height: 1; margin-left: 12px; }\n.pd-acc[open] \u003e summary::after { content: \"\\2212\"; }\n.pd-acc .pd-acc-body { padding: 8px 16px 14px; }\n.pd-spec, .pd-spec tr, .pd-spec td { border: none !important; background: transparent !important; }\n.pd-spec { width: 100%; border-collapse: collapse !important; margin: 6px 0 18px; }\n.pd-spec td { padding: 7px 10px 7px 0 !important; border-bottom: 1px solid #ececec !important; vertical-align: top; font-size: 0.95em; text-align: left; }\n.pd-spec td:first-child { width: 38%; font-weight: 600; color: #333; }\n.pd-spec tr:last-child td { border-bottom: none !important; }\n\u003c\/style\u003e\n\u003ch2\u003e\u003cstrong\u003ePoly Voyager Legend 30 Wireless Bluetooth Headset (AV4P5AA) - Local Warranty\u003c\/strong\u003e\u003c\/h2\u003e\n\u003ch3\u003e\u003cstrong\u003ePoly Voyager Legend 30 Mono Bluetooth Headset — Full Datasheet and Specifications\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp\u003eThe Poly Voyager Legend 30 is a single-ear (monaural) in-ear Bluetooth headset with four noise-cancelling microphones, WindSmart wind-noise reduction and Bluetooth Core 5.4, weighing just 20.5 g. It carries the Voyager Legend line's WindSmart microphone system in a straightforward, Bluetooth-direct package. It is built for professionals who take calls on the move and need to be understood the first time — on a worksite, in a taxi, or walking along a windy Marina Bay walkway.\u003c\/p\u003e\n\u003ch3\u003e\u003cstrong\u003eFour Noise-Cancelling Microphones with WindSmart\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp\u003eFour noise-cancelling microphones on a 74.8 mm boom pick up your voice across a 100 Hz to 8 kHz band at −37 dB FS\/Pa sensitivity, while WindSmart technology tames wind and airflow noise that ruins outdoor calls. Note that NoiseBlockAI is a Voyager Legend 50 feature — HP does not list it for the Legend 30. The result is a headset that holds up outdoors and in traffic, not just in a quiet meeting room.\u003c\/p\u003e\n\u003ch3\u003e\u003cstrong\u003eBluetooth Core 5.4, 30 m Range and Multipoint\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp\u003eBluetooth Core 5.4 gives up to 30 m (98 ft) of range and multipoint, so the headset holds two devices at once from up to eight paired — typically your laptop and your phone. This SKU connects to computers and smartphones over native Bluetooth; it does not include a BT700 USB adapter — see the ordering table below for the SKUs that do. Supported profiles are A2DP 1.3, DID 1.3, HSP 1.2, BAS 0.0, AVRCP 1.5 and HFP 1.6.\u003c\/p\u003e\n\u003ch3\u003e\u003cstrong\u003eTen Hours of Talk Time\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp\u003ePoly rates the Voyager Legend 30 at up to 10 hours of talk time from a rechargeable lithium-ion battery, with a full charge in under 1.5 hours over USB Type-C. The portable charge case, which adds a further 20 hours, is not included with this SKU and is sold separately; plan on the 10-hour figure for this part number.\u003c\/p\u003e\n\u003ch3\u003e\u003cstrong\u003eCertified for Microsoft Teams, TCO Certified, Managed with Poly Lens\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp\u003eHP states the Voyager Legend 30 is certified for Microsoft Teams both as a USB device and over native Bluetooth, and is compatible with Zoom, Chromebook and Google Meet. The headset carries the TCO Certified ecolabel — increasingly a requirement in Singapore government and MNC procurement — and is managed through the free Poly Lens Desktop and Mobile apps for settings and firmware.\u003c\/p\u003e\n\u003cdetails class=\"pd-acc\"\u003e\u003csummary style=\"cursor: pointer; font-weight: 700;\"\u003ePoly Voyager Legend 30 Datasheet — Technical Specifications\u003c\/summary\u003e\u003cdiv class=\"pd-acc-body\"\u003e\n\u003cp\u003e\u003cstrong\u003eGeneral\u003c\/strong\u003e\u003c\/p\u003e\n\u003ctable class=\"pd-spec\"\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eModel\u003c\/td\u003e\n\u003ctd\u003ePoly Voyager Legend 30 Headset\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePart Number \/ MPN\u003c\/td\u003e\n\u003ctd\u003eAV4P5AA\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eBrand\u003c\/td\u003e\n\u003ctd\u003ePoly (HP)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eProduct Type\u003c\/td\u003e\n\u003ctd\u003eMonaural in-ear Bluetooth headset\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eWearing Style\u003c\/td\u003e\n\u003ctd\u003eIn-ear, monaural (single ear) with boom microphone\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eColour\u003c\/td\u003e\n\u003ctd\u003eBlack\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eEar Cushion Material\u003c\/td\u003e\n\u003ctd\u003eSilicone\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eEar Tips\u003c\/td\u003e\n\u003ctd\u003eThree sizes (S\/M\/L) included\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eOperating Systems\u003c\/td\u003e\n\u003ctd\u003eWindows 11; macOS; Android; iOS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eManagement Software\u003c\/td\u003e\n\u003ctd\u003ePoly Lens (downloadable; host PC requires Windows 10 or higher)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eEcolabel\u003c\/td\u003e\n\u003ctd\u003eTCO Certified\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCountry of Origin\u003c\/td\u003e\n\u003ctd\u003eMade in Vietnam\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eWarranty\u003c\/td\u003e\n\u003ctd\u003eLocal Warranty (Singapore)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\n\u003cp\u003e\u003cstrong\u003eAudio\u003c\/strong\u003e\u003c\/p\u003e\n\u003ctable class=\"pd-spec\"\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eSpeaker Size\u003c\/td\u003e\n\u003ctd\u003e13.6 mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eSpeaker Bandwidth\u003c\/td\u003e\n\u003ctd\u003e100 Hz to 20 kHz\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eSpeaker Sensitivity\u003c\/td\u003e\n\u003ctd\u003e95.5 dB SPL at 1 kHz with 200 mV input\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eImpedance\u003c\/td\u003e\n\u003ctd\u003e16 ohms\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eAcoustic Protection\u003c\/td\u003e\n\u003ctd\u003eSoundGuard — limits sound below 118 dBA\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\n\u003cp\u003e\u003cstrong\u003eMicrophone\u003c\/strong\u003e\u003c\/p\u003e\n\u003ctable class=\"pd-spec\"\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eMicrophones\u003c\/td\u003e\n\u003ctd\u003e4 noise-cancelling\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMicrophone Type\u003c\/td\u003e\n\u003ctd\u003eNoise cancelling\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMicrophone Bandwidth\u003c\/td\u003e\n\u003ctd\u003e100 Hz to 8 kHz\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMicrophone Sensitivity\u003c\/td\u003e\n\u003ctd\u003e−37 dB FS\/Pa\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eBoom Microphone Length\u003c\/td\u003e\n\u003ctd\u003e74.8 mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eNoise Reduction\u003c\/td\u003e\n\u003ctd\u003eWindSmart technology (NoiseBlockAI is not listed by HP for the Legend 30)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\n\u003cp\u003e\u003cstrong\u003eConnectivity\u003c\/strong\u003e\u003c\/p\u003e\n\u003ctable class=\"pd-spec\"\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eBluetooth Version\u003c\/td\u003e\n\u003ctd\u003eBluetooth Core 5.4\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eBluetooth Profiles\u003c\/td\u003e\n\u003ctd\u003eA2DP 1.3; DID 1.3; HSP 1.2; BAS 0.0; AVRCP 1.5; HFP 1.6\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eWireless Range\u003c\/td\u003e\n\u003ctd\u003eUp to 30 m (98 ft)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMultipoint\u003c\/td\u003e\n\u003ctd\u003eYes — connects to two devices at the same time\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePaired Devices\u003c\/td\u003e\n\u003ctd\u003eUp to 8\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eUSB Adapter\u003c\/td\u003e\n\u003ctd\u003eNot included — this SKU connects over native Bluetooth (a USB Type-C to USB Type-A adapter for charging is supplied)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCertifications\u003c\/td\u003e\n\u003ctd\u003eCertified for Microsoft Teams (USB and native Bluetooth); compatible with Zoom, Chromebook and Google Meet\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\n\u003cp\u003e\u003cstrong\u003eBattery\u003c\/strong\u003e\u003c\/p\u003e\n\u003ctable class=\"pd-spec\"\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eTalk Time\u003c\/td\u003e\n\u003ctd\u003eUp to 10 hours\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eBattery Type\u003c\/td\u003e\n\u003ctd\u003eRechargeable lithium-ion\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCharge Time\u003c\/td\u003e\n\u003ctd\u003eLess than 1.5 hours\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCharging Method\u003c\/td\u003e\n\u003ctd\u003eUSB Type-C cable\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCharge Case\u003c\/td\u003e\n\u003ctd\u003eNot included with this SKU — sold separately. HP's platform specification quotes up to 30 hours total (10 hours plus 20 hours from the case); plan on 10 hours for this part number as supplied\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\n\u003cp\u003e\u003cstrong\u003eDesign \u0026amp; Power\u003c\/strong\u003e\u003c\/p\u003e\n\u003ctable class=\"pd-spec\"\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eHeadset Weight\u003c\/td\u003e\n\u003ctd\u003e20.5 g\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eHeadset Dimensions (W×D×H)\u003c\/td\u003e\n\u003ctd\u003e102.89 × 29.3 × 63.93 mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCharge Case Weight\u003c\/td\u003e\n\u003ctd\u003e100 g (sold separately)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCharge Case Dimensions\u003c\/td\u003e\n\u003ctd\u003e114.48 × 63.49 × 24 mm (sold separately)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eButton Controls\u003c\/td\u003e\n\u003ctd\u003ePower on\/off; Mute; Volume +\/−; Pairing; Call answer\/ignore\/end; Voice Assistant\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eVoice Assistant\u003c\/td\u003e\n\u003ctd\u003eSupported via a dedicated control\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePackage Weight \/ Dimensions\u003c\/td\u003e\n\u003ctd\u003e206 g; 99 × 44 × 159 mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\n\u003cp\u003e\u003cem\u003eSpecifications are taken from HP's published product-specification tables and the HP Poly Voyager Legend 50 Series product page for this exact part number. Figures HP does not publish for this model — standby time, IP rating, battery capacity in mAh, a quick-charge claim, Bluetooth codec support and operating temperature — have been left out rather than estimated. In particular, \u003cstrong\u003eno IP rating is published for this headset\u003c\/strong\u003e, so we make no water or sweat-resistance claim.\u003c\/em\u003e\u003c\/p\u003e\n\u003c\/div\u003e\u003c\/details\u003e\u003cdetails class=\"pd-acc\"\u003e\u003csummary style=\"cursor: pointer; font-weight: 700;\"\u003eCompatibility \u0026amp; Software Support\u003c\/summary\u003e\u003cdiv class=\"pd-acc-body\"\u003e\n\u003cp\u003eThe Poly Voyager Legend 30 is certified for Microsoft Teams both as a USB device and over native Bluetooth, and HP lists it as compatible with Zoom, Chromebook and Google Meet. It holds two connections at once from up to eight paired devices.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003ePlatforms, Standards \u0026amp; Management\u003c\/strong\u003e\u003c\/p\u003e\n\u003ctable class=\"pd-spec\"\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eMicrosoft Teams\u003c\/td\u003e\n\u003ctd\u003eCertified for Microsoft Teams — as a USB device and as native Bluetooth\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eOther Platforms\u003c\/td\u003e\n\u003ctd\u003eCompatible with Zoom, Chromebook and Google Meet\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eOperating Systems\u003c\/td\u003e\n\u003ctd\u003eWindows 11; macOS; Android; iOS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eComputer Connection\u003c\/td\u003e\n\u003ctd\u003eNative Bluetooth Core 5.4 (no USB adapter included)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMobile Connection\u003c\/td\u003e\n\u003ctd\u003eNative Bluetooth Core 5.4 to smartphones and tablets\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eBluetooth Profiles\u003c\/td\u003e\n\u003ctd\u003eA2DP 1.3; DID 1.3; HSP 1.2; BAS 0.0; AVRCP 1.5; HFP 1.6\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMultipoint\u003c\/td\u003e\n\u003ctd\u003eTwo simultaneous connections from up to eight paired devices\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePoly Lens\u003c\/td\u003e\n\u003ctd\u003ePoly Lens Desktop and Mobile — settings, sensor behaviour and firmware updates. Host PC requires Windows 10 or higher\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\n\u003cp\u003e\u003cstrong\u003eConnecting to a computer.\u003c\/strong\u003e This SKU does not include the BT700 USB adapter, so it connects to a laptop over the machine's built-in Bluetooth radio. That works, and Teams certification covers native Bluetooth as well as USB — but on a busy office floor with many Bluetooth devices, a dedicated adapter is measurably more reliable. If you are deploying to a shared office rather than a single mobile user, consider the BT700 SKUs in the ordering table below.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003ePoly Lens management.\u003c\/strong\u003e Poly Lens is free and optional for a single user, and worth deploying for a fleet: it handles firmware, per-device configuration and reporting across Poly headsets and room devices from one console.\u003c\/p\u003e\n\u003c\/div\u003e\u003c\/details\u003e\u003cdetails class=\"pd-acc\"\u003e\u003csummary style=\"cursor: pointer; font-weight: 700;\"\u003ePackage Contents \u0026amp; Voyager Legend Ordering Information\u003c\/summary\u003e\u003cdiv class=\"pd-acc-body\"\u003e\n\u003cp\u003e\u003cstrong\u003eIn the box\u003c\/strong\u003e — as published by HP for part number AV4P5AA:\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eUSB Type-C charging cable\u003c\/li\u003e\n\u003cli\u003eS\/M\/L eartips\u003c\/li\u003e\n\u003cli\u003eWireless headset\u003c\/li\u003e\n\u003cli\u003eUSB Type-C to USB Type-A adapter\u003c\/li\u003e\n\u003cli\u003eQuick start guide\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cstrong\u003eVoyager Legend 50 \/ 30 Series — Ordering Information\u003c\/strong\u003e\u003c\/p\u003e\n\u003ctable class=\"pd-spec\"\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003ca href=\"\/products\/poly-voyager-legend-50-ms-teams-wireless-headset-w-bt700-aj8v4aa\"\u003ePoly Voyager Legend 50-M (MS Teams) with BT700 + charge case\u003c\/a\u003e\u003c\/td\u003e\n\u003ctd\u003eAJ8V4AA\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003ca href=\"\/products\/poly-voyager-legend-50-uc-wireless-headset-w-bt700-at9m9aa\"\u003ePoly Voyager Legend 50 UC with BT700 + charge case\u003c\/a\u003e\u003c\/td\u003e\n\u003ctd\u003eAT9M9AA\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003ca href=\"\/products\/poly-voyager-legend-50-headset-av4p1aa\"\u003ePoly Voyager Legend 50 — headset only, no adapter, no case\u003c\/a\u003e\u003c\/td\u003e\n\u003ctd\u003eAV4P1AA\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003ePoly Voyager Legend 30 — headset only, no adapter, no case (this listing)\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eAV4P5AA\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\n\u003cp\u003e\u003cstrong\u003eWhat Each SKU Includes\u003c\/strong\u003e\u003c\/p\u003e\n\u003ctable class=\"pd-spec\"\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003ePoly BT700 Bluetooth adapter\u003c\/td\u003e\n\u003ctd\u003eAJ8V4AA and AT9M9AA only\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePortable Qi charge case\u003c\/td\u003e\n\u003ctd\u003eAJ8V4AA and AT9M9AA only\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMicrosoft Teams “-M” variant\u003c\/td\u003e\n\u003ctd\u003eAJ8V4AA only\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePoly NoiseBlockAI\u003c\/td\u003e\n\u003ctd\u003eAll Legend 50 SKUs (AJ8V4AA, AT9M9AA, AV4P1AA). Not listed for the Legend 30\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eHeadset, USB-C charging cable, USB-C to USB-A adapter, quick start guide\u003c\/td\u003e\n\u003ctd\u003eAll four SKUs\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\n\u003cp\u003eAll four SKUs share the same platform specification — Bluetooth Core 5.4, a 13.6 mm driver, 20.5 g, up to 10 hours of talk time and 30 m of range. What differs is what is in the box and, between the Legend 50 and Legend 30, the NoiseBlockAI feature.\u003c\/p\u003e\n\u003c\/div\u003e\u003c\/details\u003e\u003cdetails class=\"pd-acc\"\u003e\u003csummary style=\"cursor: pointer; font-weight: 700;\"\u003eDatasheet \u0026amp; Downloads\u003c\/summary\u003e\u003cdiv class=\"pd-acc-body\"\u003e\n\u003cp\u003eOfficial Poly and HP resources for the Poly Voyager Legend 30. Every link below was checked before publication.\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/www.hp.com\/sg-en\/poly\/headsets\/bluetooth-headsets-and-earbuds\/voyager-legend-50-series.html\" target=\"_blank\" rel=\"noopener\"\u003eHP Poly Voyager Legend 50 Series — HP Singapore product page\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/www.hp.com\/lk-en\/products\/accessories\/product-details\/product-specifications\/2102647356\" target=\"_blank\" rel=\"noopener\"\u003eHP Product Specifications — Poly Voyager Legend 30 Headset (AV4P5AA)\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/kaas.hpcloud.hp.com\/pdf-public\/pdf_11156124_en-US-1.pdf\" target=\"_blank\" rel=\"noopener\"\u003ePoly Voyager Legend 30 — User Guide (HP-hosted PDF)\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/www.hp.com\/sg-en\/tech-takes\/accessories\/comparison\/poly-voyager-legend-30-vs-50-comparison.html\" target=\"_blank\" rel=\"noopener\"\u003eHP Tech Takes — Poly Voyager Legend 30 vs Legend 50 comparison\u003c\/a\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003c\/details\u003e\u003cdetails class=\"pd-acc\"\u003e\u003csummary style=\"cursor: pointer; font-weight: 700;\"\u003eFrequently Asked Questions — Poly Voyager Legend 30\u003c\/summary\u003e\u003cdiv class=\"pd-acc-body\"\u003e\n\u003cp\u003e\u003cstrong\u003eDoes this SKU include the BT700 adapter or the charge case?\u003c\/strong\u003e\u003cbr\u003eNo — neither. HP's published box contents for AV4P5AA are the headset, a USB Type-C charging cable, a USB Type-C to USB Type-A adapter and the quick start guide (plus S\/M\/L eartips). This is the Bluetooth-direct, cable-charged SKU. If you need the BT700 USB adapter for a reliable computer link, or the portable charge case for travel, order \u003ca href=\"\/products\/poly-voyager-legend-50-ms-teams-wireless-headset-w-bt700-aj8v4aa\"\u003eAJ8V4AA\u003c\/a\u003e or \u003ca href=\"\/products\/poly-voyager-legend-50-uc-wireless-headset-w-bt700-at9m9aa\"\u003eAT9M9AA\u003c\/a\u003e instead — both include both items.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eHow does the Voyager Legend 30 compare with the Voyager Legend 50?\u003c\/strong\u003e\u003cbr\u003eThey share the same platform — Bluetooth Core 5.4, a 13.6 mm driver, 20.5 g, four noise-cancelling microphones, WindSmart, up to 10 hours of talk time and 30 m of range. The \u003ca href=\"\/products\/poly-voyager-legend-50-headset-av4p1aa\"\u003eLegend 50\u003c\/a\u003e adds Poly NoiseBlockAI machine-learning noise suppression, which HP does not list for the Legend 30, and the Legend 50 UC SKUs also bundle the BT700 adapter and a Qi charge case. Choose the Legend 30 for a clean, cost-effective single-ear Bluetooth headset; step up to the Legend 50 if you take a lot of calls in genuinely noisy environments.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eIs this headset suitable for outdoor and on-the-move calling in Singapore?\u003c\/strong\u003e\u003cbr\u003eThat is precisely what it is designed for. Four noise-cancelling microphones plus WindSmart wind-noise reduction target the two things that ruin mobile calls here: wind along the waterfront and open-air traffic noise. The single-ear design keeps your other ear open to your surroundings, which matters for safety when you are walking or on a site. Do note that HP publishes \u003cstrong\u003eno IP rating\u003c\/strong\u003e for this model, so we make no claim about rain or sweat resistance.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eHow many hours will it actually run, and what is the charge time?\u003c\/strong\u003e\u003cbr\u003ePoly rates the headset at up to 10 hours of talk time, with a full charge in under 1.5 hours over USB Type-C. Note that HP's specification page quotes “up to 30 hours” for this platform — that figure includes 20 hours from the portable charge case, which is \u003cstrong\u003enot\u003c\/strong\u003e in the box with this SKU. Plan on 10 hours as supplied. HP does not publish a standby-time figure for this headset, so we do not quote one.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eDo I need a licence, subscription or dongle to use it?\u003c\/strong\u003e\u003cbr\u003eNo licence and no subscription. This SKU connects over native Bluetooth and does not include a USB adapter — if you want one, the BT700 SKUs are in the ordering table above. Poly Lens Desktop and Mobile are free and optional, used for settings and firmware updates; the host PC needs Windows 10 or higher to run Poly Lens.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eCan I connect it to my laptop and my phone at the same time?\u003c\/strong\u003e\u003cbr\u003eYes. Bluetooth Core 5.4 with multipoint holds two connections at once from up to eight paired devices, with a range of up to 30 m (98 ft). Certification for Microsoft Teams covers both the USB-device path and native Bluetooth.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eDoes this headset come with a Singapore warranty and a GST invoice?\u003c\/strong\u003e\u003cbr\u003eYes. Every Poly Voyager Legend 30 sold by SourceIT comes with local Singapore warranty and a GST invoice.\u003c\/p\u003e\n\u003c\/div\u003e\u003c\/details\u003e\u003cp\u003e\u003ciframe width=\"560\" height=\"315\" src=\"https:\/\/www.youtube.com\/embed\/rD1zJDB1fm0\" title=\"YouTube video player\"\u003e\u003c\/iframe\u003e\u003c\/p\u003e\n\u003c\/div\u003e","brand":"Poly | Plantronic","offers":[{"title":"Default Title","offer_id":50929046192292,"sku":"AV4P5AA","price":100.0,"currency_code":"SGD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0605\/0136\/0804\/files\/poly-voyager-legend-30-headset-9070565.png?v=1780514409"},{"product_id":"poly-voyager-legend-50-headset-av4p1aa","title":"Poly Voyager Legend 50 Headset","description":"\u003cdiv\u003e\n\u003cstyle\u003e\n.pd-acc { border: 1px solid #e2e2e2; border-radius: 8px; margin: 10px 0; overflow: hidden; }\n.pd-acc summary { cursor: pointer; padding: 14px 16px; font-weight: 700; font-size: 1.05em; list-style: none; display: flex; justify-content: space-between; align-items: center; background: #f7f7f7; }\n.pd-acc[open] \u003e summary { border-bottom: 1px solid #e2e2e2; }\n.pd-acc summary::-webkit-details-marker { display: none; }\n.pd-acc summary::after { content: \"+\"; font-size: 1.4em; font-weight: 400; line-height: 1; margin-left: 12px; }\n.pd-acc[open] \u003e summary::after { content: \"\\2212\"; }\n.pd-acc .pd-acc-body { padding: 8px 16px 14px; }\n.pd-spec, .pd-spec tr, .pd-spec td { border: none !important; background: transparent !important; }\n.pd-spec { width: 100%; border-collapse: collapse !important; margin: 6px 0 18px; }\n.pd-spec td { padding: 7px 10px 7px 0 !important; border-bottom: 1px solid #ececec !important; vertical-align: top; font-size: 0.95em; text-align: left; }\n.pd-spec td:first-child { width: 38%; font-weight: 600; color: #333; }\n.pd-spec tr:last-child td { border-bottom: none !important; }\n\u003c\/style\u003e\n\u003ch2\u003e\u003cstrong\u003ePoly Voyager Legend 50 Wireless Bluetooth Headset (AV4P1AA) - Local Warranty\u003c\/strong\u003e\u003c\/h2\u003e\n\u003ch3\u003e\u003cstrong\u003ePoly Voyager Legend 50 Mono Bluetooth Headset — Full Datasheet and Specifications\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp\u003eThe Poly Voyager Legend 50 is a single-ear (monaural) in-ear Bluetooth headset with four noise-cancelling microphones, WindSmart wind-noise reduction and Bluetooth Core 5.4, weighing just 20.5 g. The Legend 50 adds Poly NoiseBlockAI, which uses machine learning to identify and block background noise. It is built for professionals who take calls on the move and need to be understood the first time — on a worksite, in a taxi, or walking along a windy Marina Bay walkway.\u003c\/p\u003e\n\u003ch3\u003e\u003cstrong\u003eFour Noise-Cancelling Microphones with WindSmart and NoiseBlockAI\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp\u003eFour noise-cancelling microphones on a 74.8 mm boom pick up your voice across a 100 Hz to 8 kHz band at −37 dB FS\/Pa sensitivity, while WindSmart technology tames wind and airflow noise that ruins outdoor calls. Poly NoiseBlockAI adds machine-learning background-noise suppression on top, so keyboard clatter, traffic and office chatter are identified and blocked rather than merely attenuated. The result is a headset that holds up outdoors and in traffic, not just in a quiet meeting room.\u003c\/p\u003e\n\u003ch3\u003e\u003cstrong\u003eBluetooth Core 5.4, 30 m Range and Multipoint\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp\u003eBluetooth Core 5.4 gives up to 30 m (98 ft) of range and multipoint, so the headset holds two devices at once from up to eight paired — typically your laptop and your phone. This SKU connects to computers and smartphones over native Bluetooth; it does not include a BT700 USB adapter — see the ordering table below for the SKUs that do. Supported profiles are A2DP 1.3, DID 1.3, HSP 1.2, BAS 0.0, AVRCP 1.5 and HFP 1.6.\u003c\/p\u003e\n\u003ch3\u003e\u003cstrong\u003eTen Hours of Talk Time\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp\u003ePoly rates the Voyager Legend 50 at up to 10 hours of talk time from a rechargeable lithium-ion battery, with a full charge in under 1.5 hours over USB Type-C. The portable charge case, which adds a further 20 hours, is not included with this SKU and is sold separately; plan on the 10-hour figure for this part number.\u003c\/p\u003e\n\u003ch3\u003e\u003cstrong\u003eCertified for Microsoft Teams, TCO Certified, Managed with Poly Lens\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp\u003eHP states the Voyager Legend 50 is certified for Microsoft Teams both as a USB device and over native Bluetooth, and is compatible with Zoom, Chromebook and Google Meet. The headset carries the TCO Certified ecolabel — increasingly a requirement in Singapore government and MNC procurement — and is managed through the free Poly Lens Desktop and Mobile apps for settings and firmware.\u003c\/p\u003e\n\u003cdetails class=\"pd-acc\"\u003e\u003csummary style=\"cursor: pointer; font-weight: 700;\"\u003ePoly Voyager Legend 50 Datasheet — Technical Specifications\u003c\/summary\u003e\u003cdiv class=\"pd-acc-body\"\u003e\n\u003cp\u003e\u003cstrong\u003eGeneral\u003c\/strong\u003e\u003c\/p\u003e\n\u003ctable class=\"pd-spec\"\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eModel\u003c\/td\u003e\n\u003ctd\u003ePoly Voyager Legend 50 Headset\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePart Number \/ MPN\u003c\/td\u003e\n\u003ctd\u003eAV4P1AA\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eBrand\u003c\/td\u003e\n\u003ctd\u003ePoly (HP)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eProduct Type\u003c\/td\u003e\n\u003ctd\u003eMonaural in-ear Bluetooth headset\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eWearing Style\u003c\/td\u003e\n\u003ctd\u003eIn-ear, monaural (single ear) with boom microphone\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eColour\u003c\/td\u003e\n\u003ctd\u003eBlack\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eEar Cushion Material\u003c\/td\u003e\n\u003ctd\u003eSilicone\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eEar Tips\u003c\/td\u003e\n\u003ctd\u003eThree sizes (S\/M\/L) included\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eOperating Systems\u003c\/td\u003e\n\u003ctd\u003eWindows 11; macOS; Android; iOS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eManagement Software\u003c\/td\u003e\n\u003ctd\u003ePoly Lens (downloadable; host PC requires Windows 10 or higher)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eEcolabel\u003c\/td\u003e\n\u003ctd\u003eTCO Certified\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCountry of Origin\u003c\/td\u003e\n\u003ctd\u003eMade in Vietnam\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eWarranty\u003c\/td\u003e\n\u003ctd\u003eLocal Warranty (Singapore)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\n\u003cp\u003e\u003cstrong\u003eAudio\u003c\/strong\u003e\u003c\/p\u003e\n\u003ctable class=\"pd-spec\"\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eSpeaker Size\u003c\/td\u003e\n\u003ctd\u003e13.6 mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eSpeaker Bandwidth\u003c\/td\u003e\n\u003ctd\u003e100 Hz to 20 kHz\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eSpeaker Sensitivity\u003c\/td\u003e\n\u003ctd\u003e95.5 dB SPL at 1 kHz with 200 mV input\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eImpedance\u003c\/td\u003e\n\u003ctd\u003e16 ohms\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eSignal-to-Noise Ratio\u003c\/td\u003e\n\u003ctd\u003e\u0026gt; 68 dB\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eAcoustic Protection\u003c\/td\u003e\n\u003ctd\u003eSoundGuard — limits sound below 118 dBA\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\n\u003cp\u003e\u003cstrong\u003eMicrophone\u003c\/strong\u003e\u003c\/p\u003e\n\u003ctable class=\"pd-spec\"\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eMicrophones\u003c\/td\u003e\n\u003ctd\u003e4 noise-cancelling\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMicrophone Type\u003c\/td\u003e\n\u003ctd\u003eNoise cancelling\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMicrophone Bandwidth\u003c\/td\u003e\n\u003ctd\u003e100 Hz to 8 kHz\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMicrophone Sensitivity\u003c\/td\u003e\n\u003ctd\u003e−37 dB FS\/Pa\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eBoom Microphone Length\u003c\/td\u003e\n\u003ctd\u003e74.8 mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eNoise Reduction\u003c\/td\u003e\n\u003ctd\u003eWindSmart technology + Poly NoiseBlockAI\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\n\u003cp\u003e\u003cstrong\u003eConnectivity\u003c\/strong\u003e\u003c\/p\u003e\n\u003ctable class=\"pd-spec\"\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eBluetooth Version\u003c\/td\u003e\n\u003ctd\u003eBluetooth Core 5.4\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eBluetooth Profiles\u003c\/td\u003e\n\u003ctd\u003eA2DP 1.3; DID 1.3; HSP 1.2; BAS 0.0; AVRCP 1.5; HFP 1.6\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eWireless Range\u003c\/td\u003e\n\u003ctd\u003eUp to 30 m (98 ft)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMultipoint\u003c\/td\u003e\n\u003ctd\u003eYes — connects to two devices at the same time\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePaired Devices\u003c\/td\u003e\n\u003ctd\u003eUp to 8\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eUSB Adapter\u003c\/td\u003e\n\u003ctd\u003eNot included — this SKU connects over native Bluetooth (a USB Type-C to USB Type-A adapter for charging is supplied)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCertifications\u003c\/td\u003e\n\u003ctd\u003eCertified for Microsoft Teams (USB and native Bluetooth); compatible with Zoom, Chromebook and Google Meet\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\n\u003cp\u003e\u003cstrong\u003eBattery\u003c\/strong\u003e\u003c\/p\u003e\n\u003ctable class=\"pd-spec\"\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eTalk Time\u003c\/td\u003e\n\u003ctd\u003eUp to 10 hours\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eBattery Type\u003c\/td\u003e\n\u003ctd\u003eRechargeable lithium-ion\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCharge Time\u003c\/td\u003e\n\u003ctd\u003eLess than 1.5 hours\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCharging Method\u003c\/td\u003e\n\u003ctd\u003eUSB Type-C cable\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCharge Case\u003c\/td\u003e\n\u003ctd\u003eNot included with this SKU — sold separately. HP's platform specification quotes up to 30 hours total (10 hours plus 20 hours from the case); plan on 10 hours for this part number as supplied\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\n\u003cp\u003e\u003cstrong\u003eDesign \u0026amp; Power\u003c\/strong\u003e\u003c\/p\u003e\n\u003ctable class=\"pd-spec\"\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eHeadset Weight\u003c\/td\u003e\n\u003ctd\u003e20.5 g\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eHeadset Dimensions (W×D×H)\u003c\/td\u003e\n\u003ctd\u003e102.89 × 29.3 × 63.93 mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCharge Case Weight\u003c\/td\u003e\n\u003ctd\u003e100 g (sold separately)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCharge Case Dimensions\u003c\/td\u003e\n\u003ctd\u003e114.48 × 63.49 × 24 mm (sold separately)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eSmart Sensors\u003c\/td\u003e\n\u003ctd\u003eYes — answers calls when put on, mutes when removed\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eButton Controls\u003c\/td\u003e\n\u003ctd\u003ePower on\/off; Mute; Volume +\/−; Pairing; Call answer\/ignore\/end; Voice Assistant\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eVoice Assistant\u003c\/td\u003e\n\u003ctd\u003eSupported via a dedicated control\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eVoice Alerts\u003c\/td\u003e\n\u003ctd\u003eMuted; incoming call; battery status\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eVoice Commands\u003c\/td\u003e\n\u003ctd\u003eAnswer; Ignore\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePackage Weight \/ Dimensions\u003c\/td\u003e\n\u003ctd\u003e220 g; 91 × 55 × 145 mm (UC SKU)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\n\u003cp\u003e\u003cem\u003eSpecifications are taken from HP's published product-specification tables and the HP Poly Voyager Legend 50 Series product page for this exact part number. Figures HP does not publish for this model — standby time, IP rating, battery capacity in mAh, a quick-charge claim, Bluetooth codec support and operating temperature — have been left out rather than estimated. In particular, \u003cstrong\u003eno IP rating is published for this headset\u003c\/strong\u003e, so we make no water or sweat-resistance claim.\u003c\/em\u003e\u003c\/p\u003e\n\u003c\/div\u003e\u003c\/details\u003e\u003cdetails class=\"pd-acc\"\u003e\u003csummary style=\"cursor: pointer; font-weight: 700;\"\u003eCompatibility \u0026amp; Software Support\u003c\/summary\u003e\u003cdiv class=\"pd-acc-body\"\u003e\n\u003cp\u003eThe Poly Voyager Legend 50 is certified for Microsoft Teams both as a USB device and over native Bluetooth, and HP lists it as compatible with Zoom, Chromebook and Google Meet. It holds two connections at once from up to eight paired devices.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003ePlatforms, Standards \u0026amp; Management\u003c\/strong\u003e\u003c\/p\u003e\n\u003ctable class=\"pd-spec\"\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eMicrosoft Teams\u003c\/td\u003e\n\u003ctd\u003eCertified for Microsoft Teams — as a USB device and as native Bluetooth\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eOther Platforms\u003c\/td\u003e\n\u003ctd\u003eCompatible with Zoom, Chromebook and Google Meet\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eOperating Systems\u003c\/td\u003e\n\u003ctd\u003eWindows 11; macOS; Android; iOS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eComputer Connection\u003c\/td\u003e\n\u003ctd\u003eNative Bluetooth Core 5.4 (no USB adapter included)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMobile Connection\u003c\/td\u003e\n\u003ctd\u003eNative Bluetooth Core 5.4 to smartphones and tablets\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eBluetooth Profiles\u003c\/td\u003e\n\u003ctd\u003eA2DP 1.3; DID 1.3; HSP 1.2; BAS 0.0; AVRCP 1.5; HFP 1.6\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMultipoint\u003c\/td\u003e\n\u003ctd\u003eTwo simultaneous connections from up to eight paired devices\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePoly Lens\u003c\/td\u003e\n\u003ctd\u003ePoly Lens Desktop and Mobile — settings, sensor behaviour and firmware updates. Host PC requires Windows 10 or higher\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\n\u003cp\u003e\u003cstrong\u003eConnecting to a computer.\u003c\/strong\u003e This SKU does not include the BT700 USB adapter, so it connects to a laptop over the machine's built-in Bluetooth radio. That works, and Teams certification covers native Bluetooth as well as USB — but on a busy office floor with many Bluetooth devices, a dedicated adapter is measurably more reliable. If you are deploying to a shared office rather than a single mobile user, consider the BT700 SKUs in the ordering table below.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003ePoly Lens management.\u003c\/strong\u003e Poly Lens is free and optional for a single user, and worth deploying for a fleet: it handles firmware, per-device configuration and reporting across Poly headsets and room devices from one console.\u003c\/p\u003e\n\u003c\/div\u003e\u003c\/details\u003e\u003cdetails class=\"pd-acc\"\u003e\u003csummary style=\"cursor: pointer; font-weight: 700;\"\u003ePackage Contents \u0026amp; Voyager Legend Ordering Information\u003c\/summary\u003e\u003cdiv class=\"pd-acc-body\"\u003e\n\u003cp\u003e\u003cstrong\u003eIn the box\u003c\/strong\u003e — as published by HP for part number AV4P1AA:\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eUSB Type-C charging cable\u003c\/li\u003e\n\u003cli\u003eQuick start guide\u003c\/li\u003e\n\u003cli\u003eHeadset\u003c\/li\u003e\n\u003cli\u003eUSB Type-C to USB Type-A adapter\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cstrong\u003eVoyager Legend 50 \/ 30 Series — Ordering Information\u003c\/strong\u003e\u003c\/p\u003e\n\u003ctable class=\"pd-spec\"\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003ca href=\"\/products\/poly-voyager-legend-50-ms-teams-wireless-headset-w-bt700-aj8v4aa\"\u003ePoly Voyager Legend 50-M (MS Teams) with BT700 + charge case\u003c\/a\u003e\u003c\/td\u003e\n\u003ctd\u003eAJ8V4AA\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003ca href=\"\/products\/poly-voyager-legend-50-uc-wireless-headset-w-bt700-at9m9aa\"\u003ePoly Voyager Legend 50 UC with BT700 + charge case\u003c\/a\u003e\u003c\/td\u003e\n\u003ctd\u003eAT9M9AA\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003ePoly Voyager Legend 50 — headset only, no adapter, no case (this listing)\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eAV4P1AA\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003ca href=\"\/products\/poly-voyager-legend-30-headset-av4p5aa\"\u003ePoly Voyager Legend 30 — headset only, no adapter, no case\u003c\/a\u003e\u003c\/td\u003e\n\u003ctd\u003eAV4P5AA\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\n\u003cp\u003e\u003cstrong\u003eWhat Each SKU Includes\u003c\/strong\u003e\u003c\/p\u003e\n\u003ctable class=\"pd-spec\"\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003ePoly BT700 Bluetooth adapter\u003c\/td\u003e\n\u003ctd\u003eAJ8V4AA and AT9M9AA only\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePortable Qi charge case\u003c\/td\u003e\n\u003ctd\u003eAJ8V4AA and AT9M9AA only\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMicrosoft Teams “-M” variant\u003c\/td\u003e\n\u003ctd\u003eAJ8V4AA only\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePoly NoiseBlockAI\u003c\/td\u003e\n\u003ctd\u003eAll Legend 50 SKUs (AJ8V4AA, AT9M9AA, AV4P1AA). Not listed for the Legend 30\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eHeadset, USB-C charging cable, USB-C to USB-A adapter, quick start guide\u003c\/td\u003e\n\u003ctd\u003eAll four SKUs\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\n\u003cp\u003eAll four SKUs share the same platform specification — Bluetooth Core 5.4, a 13.6 mm driver, 20.5 g, up to 10 hours of talk time and 30 m of range. What differs is what is in the box and, between the Legend 50 and Legend 30, the NoiseBlockAI feature.\u003c\/p\u003e\n\u003c\/div\u003e\u003c\/details\u003e\u003cdetails class=\"pd-acc\"\u003e\u003csummary style=\"cursor: pointer; font-weight: 700;\"\u003eDatasheet \u0026amp; Downloads\u003c\/summary\u003e\u003cdiv class=\"pd-acc-body\"\u003e\n\u003cp\u003eOfficial Poly and HP resources for the Poly Voyager Legend 50. Every link below was checked before publication.\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/www.hp.com\/sg-en\/poly\/headsets\/bluetooth-headsets-and-earbuds\/voyager-legend-50-series.html\" target=\"_blank\" rel=\"noopener\"\u003eHP Poly Voyager Legend 50 Series — HP Singapore product page\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/www.hp.com\/at-de\/products\/accessories\/product-details\/product-specifications\/2102647373\" target=\"_blank\" rel=\"noopener\"\u003eHP Product Specifications — Poly Voyager Legend 50 Headset (AV4P1AA)\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/kaas.hpcloud.hp.com\/pdf-public\/pdf_11156118_en-US-1.pdf\" target=\"_blank\" rel=\"noopener\"\u003ePoly Voyager Legend 50 — User Guide (HP-hosted PDF)\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/www.hp.com\/sg-en\/tech-takes\/accessories\/comparison\/poly-voyager-legend-30-vs-50-comparison.html\" target=\"_blank\" rel=\"noopener\"\u003eHP Tech Takes — Poly Voyager Legend 30 vs Legend 50 comparison\u003c\/a\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003c\/details\u003e\u003cdetails class=\"pd-acc\"\u003e\u003csummary style=\"cursor: pointer; font-weight: 700;\"\u003eFrequently Asked Questions — Poly Voyager Legend 50\u003c\/summary\u003e\u003cdiv class=\"pd-acc-body\"\u003e\n\u003cp\u003e\u003cstrong\u003eDoes this SKU include the BT700 adapter or the charge case?\u003c\/strong\u003e\u003cbr\u003eNo — neither. HP's published box contents for AV4P1AA are the headset, a USB Type-C charging cable, a USB Type-C to USB Type-A adapter and the quick start guide. This is the Bluetooth-direct, cable-charged SKU. If you need the BT700 USB adapter for a reliable computer link, or the portable charge case for travel, order \u003ca href=\"\/products\/poly-voyager-legend-50-ms-teams-wireless-headset-w-bt700-aj8v4aa\"\u003eAJ8V4AA\u003c\/a\u003e or \u003ca href=\"\/products\/poly-voyager-legend-50-uc-wireless-headset-w-bt700-at9m9aa\"\u003eAT9M9AA\u003c\/a\u003e instead — both include both items.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eHow does the Voyager Legend 50 compare with the Voyager Legend 30?\u003c\/strong\u003e\u003cbr\u003eThey share the same platform — Bluetooth Core 5.4, a 13.6 mm driver, 20.5 g, four noise-cancelling microphones, WindSmart, up to 10 hours of talk time and 30 m of range. The Legend 50 adds Poly NoiseBlockAI machine-learning noise suppression, which HP does not list for the \u003ca href=\"\/products\/poly-voyager-legend-30-headset-av4p5aa\"\u003eLegend 30\u003c\/a\u003e. If most of your calls happen in noisy environments, NoiseBlockAI is the reason to pay the difference. If you mainly need a clean, comfortable single-ear Bluetooth headset, the Legend 30 does the job for less.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eIs this headset suitable for outdoor and on-the-move calling in Singapore?\u003c\/strong\u003e\u003cbr\u003eThat is precisely what it is designed for. Four noise-cancelling microphones plus WindSmart wind-noise reduction, plus Poly NoiseBlockAI machine-learning noise suppression target the two things that ruin mobile calls here: wind along the waterfront and open-air traffic noise. The single-ear design keeps your other ear open to your surroundings, which matters for safety when you are walking or on a site. Do note that HP publishes \u003cstrong\u003eno IP rating\u003c\/strong\u003e for this model, so we make no claim about rain or sweat resistance.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eHow many hours will it actually run, and what is the charge time?\u003c\/strong\u003e\u003cbr\u003ePoly rates the headset at up to 10 hours of talk time, with a full charge in under 1.5 hours over USB Type-C. Note that HP's specification page quotes “up to 30 hours” for this platform — that figure includes 20 hours from the portable charge case, which is \u003cstrong\u003enot\u003c\/strong\u003e in the box with this SKU. Plan on 10 hours as supplied. HP does not publish a standby-time figure for this headset, so we do not quote one.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eDo I need a licence, subscription or dongle to use it?\u003c\/strong\u003e\u003cbr\u003eNo licence and no subscription. This SKU connects over native Bluetooth and does not include a USB adapter — if you want one, the BT700 SKUs are in the ordering table above. Poly Lens Desktop and Mobile are free and optional, used for settings and firmware updates; the host PC needs Windows 10 or higher to run Poly Lens.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eCan I connect it to my laptop and my phone at the same time?\u003c\/strong\u003e\u003cbr\u003eYes. Bluetooth Core 5.4 with multipoint holds two connections at once from up to eight paired devices, with a range of up to 30 m (98 ft). Certification for Microsoft Teams covers both the USB-device path and native Bluetooth.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eDoes this headset come with a Singapore warranty and a GST invoice?\u003c\/strong\u003e\u003cbr\u003eYes. Every Poly Voyager Legend 50 sold by SourceIT comes with local Singapore warranty and a GST invoice.\u003c\/p\u003e\n\u003c\/div\u003e\u003c\/details\u003e\u003cp\u003e\u003ciframe width=\"560\" height=\"315\" src=\"https:\/\/www.youtube.com\/embed\/HgpVehGHJrM\" title=\"YouTube video player\"\u003e\u003c\/iframe\u003e\u003c\/p\u003e\n\u003cp\u003e\u003ciframe width=\"560\" height=\"315\" src=\"https:\/\/www.youtube.com\/embed\/1PJuXR2LR3U\" title=\"YouTube video player\"\u003e\u003c\/iframe\u003e\u003c\/p\u003e\n\u003c\/div\u003e","brand":"Poly | Plantronic","offers":[{"title":"Default Title","offer_id":51024068706468,"sku":"AV4P1AA","price":135.0,"currency_code":"SGD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0605\/0136\/0804\/files\/poly-voyager-legend-50-headset-1797271.jpg?v=1780514289"},{"product_id":"yealink-a50-meetingbar-with-ctp25-collaboration-touch-panel-bundle-a50-031","title":"Yealink MeetingBar A50 All-In-One Android Video Bar with CTP25","description":"\u003cdiv\u003e\n\u003cstyle\u003e\n.pd-acc { border: 1px solid #e2e2e2; border-radius: 8px; margin: 10px 0; overflow: hidden; }\n.pd-acc summary { cursor: pointer; padding: 14px 16px; font-weight: 700; font-size: 1.05em; list-style: none; display: flex; justify-content: space-between; align-items: center; background: #f7f7f7; }\n.pd-acc[open] \u003e summary { border-bottom: 1px solid #e2e2e2; }\n.pd-acc summary::-webkit-details-marker { display: none; }\n.pd-acc summary::after { content: \"+\"; font-size: 1.4em; font-weight: 400; line-height: 1; margin-left: 12px; }\n.pd-acc[open] \u003e summary::after { content: \"\\2212\"; }\n.pd-acc .pd-acc-body { padding: 8px 16px 14px; }\n.pd-spec, .pd-spec tr, .pd-spec td { border: none !important; background: transparent !important; }\n.pd-spec { width: 100%; border-collapse: collapse !important; margin: 6px 0 18px; }\n.pd-spec td { padding: 7px 10px 7px 0 !important; border-bottom: 1px solid #ececec !important; vertical-align: top; font-size: 0.95em; text-align: left; }\n.pd-spec td:first-child { width: 38%; font-weight: 600; color: #333; }\n.pd-spec tr:last-child td { border-bottom: none !important; }\n\u003c\/style\u003e\n\u003ch2\u003eYealink MeetingBar A50 All-In-One Android Video Bar with CTP25 Touch Panel (1206707) - 2 Years Local Warranty\u003c\/h2\u003e\n\u003ch3\u003eComplete Flagship Room Kit for Medium and Large Rooms: A50 + CTP25\u003c\/h3\u003e\n\u003cp\u003eThe Yealink MeetingBar A50 with CTP25 (A50-031 bundle) is a complete flagship room kit for premium medium-to-large meeting rooms of 7–15 people in Singapore. The A50 bar integrates a triple 50 MP camera system, a 16 MEMS microphone array with 10 m pickup and four stereo speakers, while the CTP25 10.1-inch touch console brings one-touch join, wired BYOD, 4K content sharing and laptop charging to the meeting table.\u003c\/p\u003e\n\u003ch3\u003eTriple 50 MP Camera System with 8x Zoom and AI Framing\u003c\/h3\u003e\n\u003cp\u003eOne wide-angle camera (98° horizontal) pairs with two 50 MP telephoto cameras (41.6° horizontal) for high-resolution imaging with 8x digital zoom and up to 4K30 output. IntelliFocus (up to 4 portraits), Auto Framing, Speaker Tracking, People Counting, Picture-in-Picture and Video Fence frame speakers automatically — with Multi-stream IntelliFrame with Copilot on MTR-Windows and Smart Gallery on Zoom — and an electric privacy lens cap covers the camera when idle.\u003c\/p\u003e\n\u003ch3\u003e16 MEMS Microphones with 10-Metre Pickup and Four Stereo Speakers\u003c\/h3\u003e\n\u003cp\u003eThe 16 MEMS array captures voices up to 10 m away with intelligent full-duplex, AI-enhanced noise cancellation and reverberation suppression. Four stereo speakers (4 x 5 W rated, 10 W max each) deliver sound up to 97 dB SPL across 80 Hz – 20 kHz, and up to three optional expansion microphones cover long boardroom tables.\u003c\/p\u003e\n\u003ch3\u003eSingle-Cable CTP25: Touch Control, Wired BYOD and Laptop Charging\u003c\/h3\u003e\n\u003cp\u003eThe CTP25 connects to the A50 with one Cat5e cable carrying power and network, enabling a simplified single login. One USB-C cable to a laptop delivers 4K content sharing, wired BYOD on any platform and PD charging up to 45 W. The bundle includes a 65 W PD adapter, 7.5 m network cable, high stand and cable management cover.\u003c\/p\u003e\n\u003cdetails class=\"pd-acc\"\u003e\u003csummary style=\"cursor: pointer; font-weight: 700;\"\u003eYealink MeetingBar A50 Datasheet — Technical Specifications\u003c\/summary\u003e\u003cdiv class=\"pd-acc-body\"\u003e\n\u003ctable class=\"pd-spec\"\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eModel\u003c\/td\u003e\n\u003ctd\u003eYealink MeetingBar A50 + CTP25 (A50-031 kit)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePart Number (SKU)\u003c\/td\u003e\n\u003ctd\u003e1206707\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eProduct Type\u003c\/td\u003e\n\u003ctd\u003eAll-in-one Android video bar + touch console bundle\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eOperating System\u003c\/td\u003e\n\u003ctd\u003eAndroid 13, built on Microsoft Device Ecosystem Platform (MDEP)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePlatforms\u003c\/td\u003e\n\u003ctd\u003eNative Microsoft Teams Rooms on Android; native Zoom Rooms; known as MVC S50 in MTR-Windows deployments\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eRecommended Room Size\u003c\/td\u003e\n\u003ctd\u003eMedium to large rooms, 7–15 people\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eWarranty\u003c\/td\u003e\n\u003ctd\u003e2 Years Local Warranty (Singapore)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\n\u003ctable class=\"pd-spec\"\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eCamera System\u003c\/td\u003e\n\u003ctd\u003eTriple-camera system, 3 x 50 MP (1 wide + 2 telephoto)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eWide Lens\u003c\/td\u003e\n\u003ctd\u003e110° diagonal \/ 98° horizontal \/ 81° vertical\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eTelephoto Lenses\u003c\/td\u003e\n\u003ctd\u003e51° diagonal \/ 41.6° horizontal \/ 31.8° vertical\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eZoom\u003c\/td\u003e\n\u003ctd\u003e8x digital zoom\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eOutput\u003c\/td\u003e\n\u003ctd\u003eUp to 4K (3840 x 2160) @ 30 fps; 1080p @ 60 fps\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePrivacy\u003c\/td\u003e\n\u003ctd\u003eElectric privacy lens cap\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eAI Camera Features\u003c\/td\u003e\n\u003ctd\u003eIntelliFocus (up to 4 portraits), Auto Framing, Speaker Tracking, People Counting, Picture-in-Picture, Video Fence, Multi-stream IntelliFrame with Copilot (MTR-W), Smart Gallery (Zoom)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\n\u003ctable class=\"pd-spec\"\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eMicrophones\u003c\/td\u003e\n\u003ctd\u003eBuilt-in 16 MEMS microphone array\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eVoice Pickup Range\u003c\/td\u003e\n\u003ctd\u003eUp to 10 m\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eNoise Cancellation\u003c\/td\u003e\n\u003ctd\u003eAI-enhanced noise cancellation, reverberation suppression, intelligent full-duplex, AEC, AGC\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eExpansion Microphones\u003c\/td\u003e\n\u003ctd\u003eSupports 3 additional expansion microphones\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eSpeakers\u003c\/td\u003e\n\u003ctd\u003e4 built-in stereo speakers, 4 x 5 W rated (10 W max), up to 97 dB SPL @ 1 m, 80 Hz – 20 kHz\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\n\u003ctable class=\"pd-spec\"\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eA50 Connectivity\u003c\/td\u003e\n\u003ctd\u003e2 x HDMI out with CEC (dual display); 1 x USB 3.0 Type-A; 1 x USB 3.0 Type-B; 1 x USB 2.0 Type-C; Gigabit Ethernet; 2 x Yealink VCH ports; 3.5 mm line-in \u0026amp; line-out; Wi-Fi 6; Bluetooth 5.0\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eA50 Dimensions\u003c\/td\u003e\n\u003ctd\u003e910 x 102 x 88 mm, 8.5 kg net\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eA50 Mounting\u003c\/td\u003e\n\u003ctd\u003eWall mount (VB-WallMount-02) and table mount included\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\n\u003ctable class=\"pd-spec\"\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eCTP25 Display\u003c\/td\u003e\n\u003ctd\u003e10.1-inch IPS, 1280 x 800, multi-point capacitive touch, anti-glare and anti-fingerprint coating\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCTP25 Connection\u003c\/td\u003e\n\u003ctd\u003eSingle Cat5e cable to the bar (power + network) or via IP; PoE 802.3af\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCTP25 USB-C\u003c\/td\u003e\n\u003ctd\u003e4K content sharing, wired BYOD, PD charging up to 45 W\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCTP25 Dimensions\u003c\/td\u003e\n\u003ctd\u003e242.95 x 27.50 x 161.95 mm, 0.683 kg\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\n\u003c\/div\u003e\u003c\/details\u003e\n\u003cdetails class=\"pd-acc\"\u003e\u003csummary style=\"cursor: pointer; font-weight: 700;\"\u003eCompatibility \u0026amp; Software Support\u003c\/summary\u003e\u003cdiv class=\"pd-acc-body\"\u003e\n\u003cp\u003eThe MeetingBar A50 runs native Microsoft Teams Rooms on Android and native Zoom Rooms; the CTP25 mirrors the same platform interface at the table. Wired BYOD through the CTP25 lets the room's camera and audio serve Google Meet, Webex or any other app on a connected laptop. Up to three expansion microphones — \u003ca href=\"\/products\/yealink-vcm35-video-conferencing-microphone-array\"\u003eVCM35\u003c\/a\u003e or wireless \u003ca href=\"\/products\/yealink-vcm36-w-wireless-microphone-extension\"\u003eVCM36-W\u003c\/a\u003e — or \u003ca href=\"\/products\/yealink-cm20-ai-powered-beamforming-ceiling-microphone\"\u003eCM20 ceiling audio\u003c\/a\u003e extend coverage in long rooms.\u003c\/p\u003e\n\u003cp\u003eDevice management: Yealink HTTPS web portal, Yealink Device Management Platform (YDMP), Yealink Management Cloud Service (YMCS), Microsoft Teams Admin Center \/ Intune and Zoom Device Management. For Teams Rooms on Windows, see the \u003ca href=\"\/products\/yealink-mvc-s50-c5u-000-native-teams-rooms-system-for-medium-rooms\"\u003eYealink MVC S50 room system\u003c\/a\u003e.\u003c\/p\u003e\n\u003c\/div\u003e\u003c\/details\u003e\n\u003cdetails class=\"pd-acc\"\u003e\u003csummary style=\"cursor: pointer; font-weight: 700;\"\u003ePackage Contents \u0026amp; MeetingBar A50 Ordering Information\u003c\/summary\u003e\u003cdiv class=\"pd-acc-body\"\u003e\n\u003cp\u003eInside the box: MeetingBar A50 with power adapter (3.5 m cable), 2 x 1.8 m HDMI 2.0 cables, 3 m network cable, 2.5 m USB 3.0 A-B cable, wall mount (VB-WallMount-02), table mount, cable cover; CTP25 touch console with 65 W PD power adapter, 7.5 m network cable, 1.2 m USB-C cable, high stand and cable management cover; Quick Start Guides.\u003c\/p\u003e\n\u003ctable class=\"pd-spec\"\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eA50-031 (1206707)\u003c\/td\u003e\n\u003ctd\u003eMeetingBar A50 + CTP25 touch panel — this listing\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eA50-010 (1206706)\u003c\/td\u003e\n\u003ctd\u003e\u003ca href=\"\/products\/yealink-meetingbar-a50-microsoft-teams-rooms-on-android-a50-010-teams\"\u003eMeetingBar A50 + VCR11 remote control\u003c\/a\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\n\u003cp\u003eRelated products: \u003ca href=\"\/products\/yealink-ctp25-10-1-touch-console-1303132\"\u003eCTP25 touch console (standalone)\u003c\/a\u003e, \u003ca href=\"\/products\/yealink-a40-meetingbar-with-ctp25-collaboration-touch-panel-bundle-a40-031-teams\"\u003eMeetingBar A40 + CTP25\u003c\/a\u003e, \u003ca href=\"\/products\/yealink-mvc-s50-c5u-000-native-teams-rooms-system-for-medium-rooms\"\u003eMVC S50 Teams Rooms system\u003c\/a\u003e.\u003c\/p\u003e\n\u003c\/div\u003e\u003c\/details\u003e\n\u003cdetails class=\"pd-acc\"\u003e\u003csummary style=\"cursor: pointer; font-weight: 700;\"\u003eDatasheet \u0026amp; Downloads\u003c\/summary\u003e\u003cdiv class=\"pd-acc-body\"\u003e\n\u003cp\u003e\u003ca href=\"https:\/\/support.yealink.com\/document-detail\/60c2923051984ed5af21e60295a7651b\" target=\"_blank\" rel=\"noopener\"\u003eOfficial Yealink MeetingBar A50 Datasheet (Yealink Support)\u003c\/a\u003e\u003c\/p\u003e\n\u003cp\u003e\u003ca href=\"https:\/\/support.yealink.com\/document-detail\/8e1c7daa8f2b48bb9fa2f972ff22f148\" target=\"_blank\" rel=\"noopener\"\u003eOfficial Yealink CTP25 Datasheet (Yealink Support)\u003c\/a\u003e\u003c\/p\u003e\n\u003cp\u003e\u003ca href=\"https:\/\/www.yealink.com\/en\/product-detail\/microsoft-teams-rooms-meetingbar-a50\" target=\"_blank\" rel=\"noopener\"\u003eYealink MeetingBar A50 Product Page\u003c\/a\u003e\u003c\/p\u003e\n\u003c\/div\u003e\u003c\/details\u003e\n\u003cdetails class=\"pd-acc\"\u003e\u003csummary style=\"cursor: pointer; font-weight: 700;\"\u003eFrequently Asked Questions — Yealink MeetingBar A50 with CTP25\u003c\/summary\u003e\u003cdiv class=\"pd-acc-body\"\u003e\n\u003cp\u003e\u003cstrong\u003eWhat does the CTP25 add over the standard A50 kit?\u003c\/strong\u003e\u003cbr\u003eThe \u003ca href=\"\/products\/yealink-meetingbar-a50-microsoft-teams-rooms-on-android-a50-010-teams\"\u003eA50-010 kit\u003c\/a\u003e ships with the VCR11 remote. This A50-031 bundle adds the CTP25 10.1-inch touch console: one-touch join, call and camera control, wired BYOD, 4K content sharing and up to 45 W laptop charging from the table.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eHow does the CTP25 connect to the A50?\u003c\/strong\u003e\u003cbr\u003eWith a single Cat5e cable carrying power and network from one of the bar's two VCH ports — no power outlet needed at the table — plus a simplified single login for both devices.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eDoes this kit support both Microsoft Teams and Zoom?\u003c\/strong\u003e\u003cbr\u003eYes. The A50 runs Microsoft Teams Rooms on Android and Zoom Rooms natively, and the CTP25 mirrors whichever platform the bar is signed into.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eHow does this bundle compare with the A40 + CTP25?\u003c\/strong\u003e\u003cbr\u003eThe \u003ca href=\"\/products\/yealink-a40-meetingbar-with-ctp25-collaboration-touch-panel-bundle-a40-031-teams\"\u003eA40 bundle\u003c\/a\u003e covers small-to-medium rooms with dual 48 MP lenses and 6 m pickup. The A50 bundle is the flagship for 7–15 person rooms: triple 50 MP cameras, 16 MEMS with 10 m pickup, four speakers and support for three expansion mics.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eCan I extend microphone coverage for a long boardroom table?\u003c\/strong\u003e\u003cbr\u003eYes — up to three expansion microphones (\u003ca href=\"\/products\/yealink-vcm35-video-conferencing-microphone-array\"\u003eVCM35\u003c\/a\u003e wired or \u003ca href=\"\/products\/yealink-vcm36-w-wireless-microphone-extension\"\u003eVCM36-W\u003c\/a\u003e wireless), or CM20 ceiling audio.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eDoes this bundle come with local warranty in Singapore?\u003c\/strong\u003e\u003cbr\u003eYes. Every MeetingBar A50 with CTP25 sold by SourceIT comes with 2 years local Singapore warranty and a GST invoice.\u003c\/p\u003e\n\u003c\/div\u003e\u003c\/details\u003e\n\u003cp\u003e\u003ciframe title=\"YouTube video player\" src=\"https:\/\/www.youtube.com\/embed\/bpf8gWgOT6s\" height=\"315\" width=\"560\"\u003e\u003c\/iframe\u003e\u003c\/p\u003e\n\u003c\/div\u003e","brand":"Yealink","offers":[{"title":"Default Title","offer_id":51026573099172,"sku":"1206707","price":4055.0,"currency_code":"SGD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0605\/0136\/0804\/files\/yealink-meetingbar-a50-all-in-one-android-video-bar-w-ctp25-a50-010-7922673.jpg?v=1759299892"},{"product_id":"yealink-meetingbar-a50-microsoft-teams-rooms-on-android-a50-010-teams","title":"Yealink MeetingBar A50 All-In-One Android Video Bar","description":"\u003cdiv\u003e\n\u003cstyle\u003e\n.pd-acc { border: 1px solid #e2e2e2; border-radius: 8px; margin: 10px 0; overflow: hidden; }\n.pd-acc summary { cursor: pointer; padding: 14px 16px; font-weight: 700; font-size: 1.05em; list-style: none; display: flex; justify-content: space-between; align-items: center; background: #f7f7f7; }\n.pd-acc[open] \u003e summary { border-bottom: 1px solid #e2e2e2; }\n.pd-acc summary::-webkit-details-marker { display: none; }\n.pd-acc summary::after { content: \"+\"; font-size: 1.4em; font-weight: 400; line-height: 1; margin-left: 12px; }\n.pd-acc[open] \u003e summary::after { content: \"\\2212\"; }\n.pd-acc .pd-acc-body { padding: 8px 16px 14px; }\n.pd-spec, .pd-spec tr, .pd-spec td { border: none !important; background: transparent !important; }\n.pd-spec { width: 100%; border-collapse: collapse !important; margin: 6px 0 18px; }\n.pd-spec td { padding: 7px 10px 7px 0 !important; border-bottom: 1px solid #ececec !important; vertical-align: top; font-size: 0.95em; text-align: left; }\n.pd-spec td:first-child { width: 38%; font-weight: 600; color: #333; }\n.pd-spec tr:last-child td { border-bottom: none !important; }\n\u003c\/style\u003e\n\u003ch2\u003eYealink MeetingBar A50 All-In-One Android Video Bar (1206706) - 2 Years Local Warranty\u003c\/h2\u003e\n\u003ch3\u003eFlagship All-In-One Video Bar for Medium and Large Rooms\u003c\/h3\u003e\n\u003cp\u003eThe Yealink MeetingBar A50 is a flagship all-in-one Android video bar engineered for premium medium-to-large meeting rooms of 7–15 people in Singapore. It integrates a triple-camera system (3 x 50 MP), a 16 MEMS microphone array with 10 m pickup and four stereo speakers into a single elegant device — removing the cost and complexity of separate room components. In Microsoft Teams Rooms on Windows deployments, the same bar is known as the MVC S50.\u003c\/p\u003e\n\u003ch3\u003eTriple 50 MP Camera System with 8x Zoom and AI Framing\u003c\/h3\u003e\n\u003cp\u003eOne wide-angle camera (98° horizontal field of view) pairs with two telephoto cameras (41.6° horizontal) — each 50 MP — for high-resolution imaging across focal lengths with 8x digital zoom and up to 4K30 output. IntelliFocus (up to 4 portraits), Auto Framing, Speaker Tracking, People Counting, Picture-in-Picture and Video Fence frame speakers automatically, with Multi-stream IntelliFrame with Copilot on MTR-Windows and Smart Gallery on Zoom. An electric privacy lens cap covers the camera when not in use.\u003c\/p\u003e\n\u003ch3\u003e16 MEMS Microphones with 10-Metre Pickup and Four Stereo Speakers\u003c\/h3\u003e\n\u003cp\u003eThe built-in 16 MEMS microphone array captures voices up to 10 m away with intelligent full-duplex, AI-enhanced noise cancellation and reverberation suppression. Four built-in stereo speakers (4 x 5 W rated, 10 W max each) deliver rich sound up to 97 dB SPL with an 80 Hz – 20 kHz response, and up to three optional expansion microphones extend coverage for long tables.\u003c\/p\u003e\n\u003ch3\u003eNative Teams Rooms and Zoom Rooms on Android 13 with MDEP Security\u003c\/h3\u003e\n\u003cp\u003eRunning Android 13 on the Microsoft Device Ecosystem Platform (MDEP), the A50 supports Microsoft Teams Rooms on Android and Zoom Rooms natively, plus BYOD mode over USB. Dual HDMI outputs drive two displays, two VCH ports connect accessories including the optional CTP25 touch console, and Wi-Fi 6 and Bluetooth 5.0 come built in.\u003c\/p\u003e\n\u003cdetails class=\"pd-acc\"\u003e\u003csummary style=\"cursor: pointer; font-weight: 700;\"\u003eYealink MeetingBar A50 Datasheet — Technical Specifications\u003c\/summary\u003e\u003cdiv class=\"pd-acc-body\"\u003e\n\u003ctable class=\"pd-spec\"\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eModel\u003c\/td\u003e\n\u003ctd\u003eYealink MeetingBar A50\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePart Number (SKU)\u003c\/td\u003e\n\u003ctd\u003e1206706 — A50-010 kit (A50 + VCR11 remote)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eProduct Type\u003c\/td\u003e\n\u003ctd\u003eAll-in-one Android video collaboration bar\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eOperating System\u003c\/td\u003e\n\u003ctd\u003eAndroid 13, built on Microsoft Device Ecosystem Platform (MDEP)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePlatforms\u003c\/td\u003e\n\u003ctd\u003eNative Microsoft Teams Rooms on Android; native Zoom Rooms; known as MVC S50 in MTR-Windows deployments\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eRecommended Room Size\u003c\/td\u003e\n\u003ctd\u003eMedium to large rooms, 7–15 people\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eWarranty\u003c\/td\u003e\n\u003ctd\u003e2 Years Local Warranty (Singapore)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\n\u003ctable class=\"pd-spec\"\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eCamera System\u003c\/td\u003e\n\u003ctd\u003eTriple-camera system, 3 x 50 MP (1 wide + 2 telephoto)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eWide Lens\u003c\/td\u003e\n\u003ctd\u003e110° diagonal \/ 98° horizontal \/ 81° vertical\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eTelephoto Lenses\u003c\/td\u003e\n\u003ctd\u003e51° diagonal \/ 41.6° horizontal \/ 31.8° vertical\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eZoom\u003c\/td\u003e\n\u003ctd\u003e8x digital zoom\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eOutput\u003c\/td\u003e\n\u003ctd\u003eUp to 4K (3840 x 2160) @ 30 fps; 1080p @ 60 fps\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eDepth of Field\u003c\/td\u003e\n\u003ctd\u003e0.7 – 8 m\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePrivacy\u003c\/td\u003e\n\u003ctd\u003eElectric privacy lens cap\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eAI Camera Features\u003c\/td\u003e\n\u003ctd\u003eIntelliFocus (up to 4 portraits), Auto Framing, Speaker Tracking, People Counting, Picture-in-Picture, Video Fence, Multi-stream IntelliFrame with Copilot (MTR-W), Smart Gallery (Zoom)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\n\u003ctable class=\"pd-spec\"\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eMicrophones\u003c\/td\u003e\n\u003ctd\u003eBuilt-in 16 MEMS microphone array\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eVoice Pickup Range\u003c\/td\u003e\n\u003ctd\u003eUp to 10 m\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eNoise Cancellation\u003c\/td\u003e\n\u003ctd\u003eAI-enhanced noise cancellation, reverberation suppression, intelligent full-duplex, AEC, AGC\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eExpansion Microphones\u003c\/td\u003e\n\u003ctd\u003eSupports 3 additional expansion microphones\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eSpeakers\u003c\/td\u003e\n\u003ctd\u003e4 built-in stereo speakers, 4 x 5 W rated (10 W max), up to 97 dB SPL @ 1 m, 80 Hz – 20 kHz\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\n\u003ctable class=\"pd-spec\"\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eHDMI\u003c\/td\u003e\n\u003ctd\u003e2 x HDMI output with CEC (dual display, 4K30 \/ 1080p60)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eUSB\u003c\/td\u003e\n\u003ctd\u003e1 x USB 3.0 Type-A, 1 x USB 3.0 Type-B, 1 x USB 2.0 Type-C\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eEthernet\u003c\/td\u003e\n\u003ctd\u003e1 x 10\/100\/1000 Mbps port\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eAccessory Ports\u003c\/td\u003e\n\u003ctd\u003e2 x Yealink VCH ports (RJ-45) — direct CTP25 connection\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eAudio Jack\u003c\/td\u003e\n\u003ctd\u003e1 x 3.5 mm line-in \u0026amp; line-out\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eWi-Fi\u003c\/td\u003e\n\u003ctd\u003eWi-Fi 6 (802.11a\/b\/g\/n\/ac\/ax), dual-band 2.4 \/ 5 GHz, 2x2 MIMO\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eBluetooth\u003c\/td\u003e\n\u003ctd\u003eBluetooth 5.0\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\n\u003ctable class=\"pd-spec\"\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eDimensions\u003c\/td\u003e\n\u003ctd\u003e910 x 102 x 88 mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eWeight\u003c\/td\u003e\n\u003ctd\u003e8.5 kg net\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMounting\u003c\/td\u003e\n\u003ctd\u003eWall mount (VB-WallMount-02) and table mount included\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePower\u003c\/td\u003e\n\u003ctd\u003ePower adapter with 3.5 m cable included\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eOperating Conditions\u003c\/td\u003e\n\u003ctd\u003e0–40°C, 10–95% humidity\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\n\u003c\/div\u003e\u003c\/details\u003e\n\u003cdetails class=\"pd-acc\"\u003e\u003csummary style=\"cursor: pointer; font-weight: 700;\"\u003eCompatibility \u0026amp; Software Support\u003c\/summary\u003e\u003cdiv class=\"pd-acc-body\"\u003e\n\u003cp\u003eThe MeetingBar A50 runs native Microsoft Teams Rooms on Android and native Zoom Rooms, with BYOD mode for third-party platforms such as Google Meet and Webex from a connected laptop. The \u003ca href=\"\/products\/yealink-ctp25-10-1-touch-console-1303132\"\u003eCTP25 touch console\u003c\/a\u003e connects directly over a single Cat5e cable for one-touch control, wired BYOD, 4K sharing and PD laptop charging. Up to three expansion microphones — \u003ca href=\"\/products\/yealink-vcm35-video-conferencing-microphone-array\"\u003eVCM35\u003c\/a\u003e, wireless \u003ca href=\"\/products\/yealink-vcm36-w-wireless-microphone-extension\"\u003eVCM36-W\u003c\/a\u003e — or \u003ca href=\"\/products\/yealink-cm20-ai-powered-beamforming-ceiling-microphone\"\u003eCM20 ceiling audio\u003c\/a\u003e extend coverage in long rooms.\u003c\/p\u003e\n\u003cp\u003eDevice management: Yealink HTTPS web portal, Yealink Device Management Platform (YDMP), Yealink Management Cloud Service (YMCS), Microsoft Teams Admin Center \/ Intune and Zoom Device Management. For Teams Rooms on Windows, see the \u003ca href=\"\/products\/yealink-mvc-s50-c5u-000-native-teams-rooms-system-for-medium-rooms\"\u003eYealink MVC S50 room system\u003c\/a\u003e.\u003c\/p\u003e\n\u003c\/div\u003e\u003c\/details\u003e\n\u003cdetails class=\"pd-acc\"\u003e\u003csummary style=\"cursor: pointer; font-weight: 700;\"\u003ePackage Contents \u0026amp; MeetingBar A50 Ordering Information\u003c\/summary\u003e\u003cdiv class=\"pd-acc-body\"\u003e\n\u003cp\u003eInside the box: MeetingBar A50, VCR11 remote control, power adapter (3.5 m cable), 2 x 1.8 m HDMI 2.0 cables, 3 m network cable, 2.5 m USB 3.0 A-B cable, wall mount (VB-WallMount-02), table mount, cable cover, Quick Start Guide.\u003c\/p\u003e\n\u003ctable class=\"pd-spec\"\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eA50-010 (1206706)\u003c\/td\u003e\n\u003ctd\u003eMeetingBar A50 + VCR11 remote — this listing\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eA50-031 (1206707)\u003c\/td\u003e\n\u003ctd\u003e\u003ca href=\"\/products\/yealink-a50-meetingbar-with-ctp25-collaboration-touch-panel-bundle-a50-031\"\u003eMeetingBar A50 + CTP25 touch panel bundle\u003c\/a\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\n\u003cp\u003eRelated products: \u003ca href=\"\/products\/yealink-ctp25-10-1-touch-console-1303132\"\u003eCTP25 touch console\u003c\/a\u003e, \u003ca href=\"\/products\/yealink-meetingbar-a40-microsoft-teams-rooms-on-android-a40-010-teams\"\u003eMeetingBar A40\u003c\/a\u003e, \u003ca href=\"\/products\/yealink-mvc-s50-c5u-000-native-teams-rooms-system-for-medium-rooms\"\u003eMVC S50 Teams Rooms system\u003c\/a\u003e.\u003c\/p\u003e\n\u003c\/div\u003e\u003c\/details\u003e\n\u003cdetails class=\"pd-acc\"\u003e\u003csummary style=\"cursor: pointer; font-weight: 700;\"\u003eDatasheet \u0026amp; Downloads\u003c\/summary\u003e\u003cdiv class=\"pd-acc-body\"\u003e\n\u003cp\u003e\u003ca href=\"https:\/\/support.yealink.com\/document-detail\/60c2923051984ed5af21e60295a7651b\" target=\"_blank\" rel=\"noopener\"\u003eOfficial Yealink MeetingBar A50 Datasheet (Yealink Support)\u003c\/a\u003e\u003c\/p\u003e\n\u003cp\u003e\u003ca href=\"https:\/\/www.yealink.com\/en\/product-detail\/microsoft-teams-rooms-meetingbar-a50\" target=\"_blank\" rel=\"noopener\"\u003eYealink MeetingBar A50 Product Page\u003c\/a\u003e\u003c\/p\u003e\n\u003c\/div\u003e\u003c\/details\u003e\n\u003cdetails class=\"pd-acc\"\u003e\u003csummary style=\"cursor: pointer; font-weight: 700;\"\u003eFrequently Asked Questions — Yealink MeetingBar A50\u003c\/summary\u003e\u003cdiv class=\"pd-acc-body\"\u003e\n\u003cp\u003e\u003cstrong\u003eWhat is the difference between the A50-010 and A50-031?\u003c\/strong\u003e\u003cbr\u003eThe A50-010 (this listing) includes the VCR11 remote. The \u003ca href=\"\/products\/yealink-a50-meetingbar-with-ctp25-collaboration-touch-panel-bundle-a50-031\"\u003eA50-031 bundle\u003c\/a\u003e adds the CTP25 10.1-inch touch console with a 65 W PD adapter, 7.5 m network cable and high stand for tabletop control and wired BYOD.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eHow does the A50 compare with the MeetingBar A40?\u003c\/strong\u003e\u003cbr\u003eThe \u003ca href=\"\/products\/yealink-meetingbar-a40-microsoft-teams-rooms-on-android-a40-010-teams\"\u003eA40\u003c\/a\u003e covers small-to-medium rooms with dual 48 MP lenses, 6 m pickup and two expansion mics. The A50 is the flagship for medium-to-large rooms of 7–15 people: triple 50 MP cameras, 16 MEMS with 10 m pickup, four speakers and three expansion mics.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eWhat is the relationship between the A50 and the MVC S50?\u003c\/strong\u003e\u003cbr\u003eThey are the same bar: deployed on Android it is the MeetingBar A50; in a Microsoft Teams Rooms on Windows bundle with an MCore mini-PC it is sold as the \u003ca href=\"\/products\/yealink-mvc-s50-c5u-000-native-teams-rooms-system-for-medium-rooms\"\u003eMVC S50\u003c\/a\u003e.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eDoes the A50 support dual displays?\u003c\/strong\u003e\u003cbr\u003eYes — two HDMI outputs with CEC drive dual displays at up to 4K30.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eCan I extend microphone coverage for a long boardroom table?\u003c\/strong\u003e\u003cbr\u003eYes. The A50 supports up to three expansion microphones (VCM35 wired or VCM36-W wireless), and CM20 ceiling audio is also compatible.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eDoes the MeetingBar A50 come with local warranty in Singapore?\u003c\/strong\u003e\u003cbr\u003eYes. Every MeetingBar A50 sold by SourceIT comes with 2 years local Singapore warranty and a GST invoice.\u003c\/p\u003e\n\u003c\/div\u003e\u003c\/details\u003e\n\u003cp\u003e\u003ciframe title=\"YouTube video player\" src=\"https:\/\/www.youtube.com\/embed\/bpf8gWgOT6s\" height=\"315\" width=\"560\"\u003e\u003c\/iframe\u003e\u003c\/p\u003e\n\u003c\/div\u003e","brand":"Yealink","offers":[{"title":"Default Title","offer_id":51026589352100,"sku":"1206706","price":3490.0,"currency_code":"SGD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0605\/0136\/0804\/files\/YealinkMeetingBarA50All-In-OneAndroidVideoBar_A50-010.jpg?v=1759298506"},{"product_id":"yealink-meetingbar-a25-all-in-one-android-video-bar-a25-010","title":"Yealink MeetingBar A25 All-In-One Android Video Bar","description":"\u003cdiv\u003e\n\u003cstyle\u003e\n.pd-acc { border: 1px solid #e2e2e2; border-radius: 8px; margin: 10px 0; overflow: hidden; }\n.pd-acc summary { cursor: pointer; padding: 14px 16px; font-weight: 700; font-size: 1.05em; list-style: none; display: flex; justify-content: space-between; align-items: center; background: #f7f7f7; }\n.pd-acc[open] \u003e summary { border-bottom: 1px solid #e2e2e2; }\n.pd-acc summary::-webkit-details-marker { display: none; }\n.pd-acc summary::after { content: \"+\"; font-size: 1.4em; font-weight: 400; line-height: 1; margin-left: 12px; }\n.pd-acc[open] \u003e summary::after { content: \"\\2212\"; }\n.pd-acc .pd-acc-body { padding: 8px 16px 14px; }\n.pd-spec, .pd-spec tr, .pd-spec td { border: none !important; background: transparent !important; }\n.pd-spec { width: 100%; border-collapse: collapse !important; margin: 6px 0 18px; }\n.pd-spec td { padding: 7px 10px 7px 0 !important; border-bottom: 1px solid #ececec !important; vertical-align: top; font-size: 0.95em; text-align: left; }\n.pd-spec td:first-child { width: 38%; font-weight: 600; color: #333; }\n.pd-spec tr:last-child td { border-bottom: none !important; }\n\u003c\/style\u003e\n\u003ch2\u003eYealink MeetingBar A25 All-In-One Android Video Bar (1206714) - 2 Years Local Warranty\u003c\/h2\u003e\n\u003ch3\u003eAll-In-One Video Bar for Focus and Huddle Rooms\u003c\/h3\u003e\n\u003cp\u003eThe Yealink MeetingBar A25 is a versatile all-in-one Android video bar engineered for focus rooms, huddle spaces and small meeting rooms of 2–5 people in Singapore offices. It combines a triple-camera system with a 151° ultra-wide lens, an 8 MEMS microphone array and a 10 W speaker in a single elegant bar that installs in minutes — no dedicated room PC required.\u003c\/p\u003e\n\u003ch3\u003eTriple 4K Camera System with IntelliFocus and Privacy Shutter\u003c\/h3\u003e\n\u003cp\u003eThree 4K cameras (8 MP each) pair one ultra-wide lens — 151° horizontal field of view — with two telephoto lenses for high-definition portrait close-ups. AI features including IntelliFocus dual portraits, Auto Framing, Speaker Tracking, Picture-in-Picture and Video Fence keep the picture balanced and engaging for remote attendees, with Smart Gallery on Zoom Rooms. An electric privacy lens cap gives visible, physical reassurance that the camera is off when not in use.\u003c\/p\u003e\n\u003ch3\u003e8 MEMS Microphones with AI-Enhanced Noise Suppression\u003c\/h3\u003e\n\u003cp\u003eThe built-in 8 MEMS microphone array delivers a 5 m voice pickup range (3.5 m high-quality) with 3 m full-duplex technology, while AI-enhanced noise suppression, Audio Fence and reverberation suppression filter out distractions. The integrated 10 W speaker (max 12 W) produces full, clear sound up to 90 dB SPL with a 100 Hz – 16 kHz response.\u003c\/p\u003e\n\u003ch3\u003eNative Microsoft Teams Rooms and Zoom Rooms on Android 13\u003c\/h3\u003e\n\u003cp\u003eRunning Android 13, the A25 supports Microsoft Teams Rooms on Android and Zoom Rooms natively, so teams join calls instantly. Pair the optional CTP25 touch console for one-touch join, wired BYOD and 4K content sharing over a single cable. Wi-Fi 6 and Bluetooth 5.1 keep wireless connections fast and stable.\u003c\/p\u003e\n\u003cdetails class=\"pd-acc\"\u003e\u003csummary style=\"cursor: pointer; font-weight: 700;\"\u003eYealink MeetingBar A25 Datasheet — Technical Specifications\u003c\/summary\u003e\u003cdiv class=\"pd-acc-body\"\u003e\n\u003ctable class=\"pd-spec\"\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eModel\u003c\/td\u003e\n\u003ctd\u003eYealink MeetingBar A25\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePart Number (SKU)\u003c\/td\u003e\n\u003ctd\u003e1206714 — A25-010 kit (A25 + VCR11 remote + USB-C cable)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eProduct Type\u003c\/td\u003e\n\u003ctd\u003eAll-in-one Android video collaboration bar\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eOperating System\u003c\/td\u003e\n\u003ctd\u003eAndroid 13\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePlatforms\u003c\/td\u003e\n\u003ctd\u003eNative Microsoft Teams Rooms on Android, native Zoom Rooms\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eRecommended Room Size\u003c\/td\u003e\n\u003ctd\u003eFocus and huddle rooms, 2–5 people\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eWarranty\u003c\/td\u003e\n\u003ctd\u003e2 Years Local Warranty (Singapore)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\n\u003ctable class=\"pd-spec\"\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eCamera System\u003c\/td\u003e\n\u003ctd\u003e3 x 4K cameras (8 MP each): 1 ultra-wide + 2 telephoto\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eUltra-wide Lens\u003c\/td\u003e\n\u003ctd\u003e151° horizontal \/ 81° vertical field of view\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eTelephoto Lenses\u003c\/td\u003e\n\u003ctd\u003e84.4° horizontal \/ 53.1° vertical field of view\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMax Resolution\u003c\/td\u003e\n\u003ctd\u003e3840 x 2160 @ 30 fps\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePrivacy\u003c\/td\u003e\n\u003ctd\u003eElectric privacy lens cap\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eAI Camera Features\u003c\/td\u003e\n\u003ctd\u003eIntelliFocus (2 portraits), Auto Framing, Speaker Tracking, Picture-in-Picture, Video Fence, Smart Gallery (Zoom)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\n\u003ctable class=\"pd-spec\"\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eMicrophones\u003c\/td\u003e\n\u003ctd\u003eBuilt-in 8 MEMS microphone array\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eVoice Pickup Range\u003c\/td\u003e\n\u003ctd\u003e5 m (3.5 m high-quality), 3 m full-duplex\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eNoise Cancellation\u003c\/td\u003e\n\u003ctd\u003eAI-enhanced noise suppression, Audio Fence, reverberation suppression\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eSpeaker\u003c\/td\u003e\n\u003ctd\u003e1 x 10 W speaker (max 12 W), up to 90 dB SPL @ 1 m, 100 Hz – 16 kHz\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\n\u003ctable class=\"pd-spec\"\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eHDMI\u003c\/td\u003e\n\u003ctd\u003e1 x HDMI output (4K30)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eUSB\u003c\/td\u003e\n\u003ctd\u003e1 x USB 2.0 Type-A, 1 x USB 2.0 Type-C, 1 x USB 3.0 Type-C\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eEthernet\u003c\/td\u003e\n\u003ctd\u003e1 x 10\/100\/1000 Mbps port\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eAccessory Port\u003c\/td\u003e\n\u003ctd\u003e1 x Yealink VCH port (RJ-45) — direct CTP25 connection\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eAudio Jack\u003c\/td\u003e\n\u003ctd\u003e1 x 3.5 mm line-out\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eWi-Fi\u003c\/td\u003e\n\u003ctd\u003eWi-Fi 6 (802.11a\/b\/g\/n\/ac\/ax), dual-band 2.4 \/ 5 GHz, 2x2 MIMO\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eBluetooth\u003c\/td\u003e\n\u003ctd\u003eBluetooth 5.1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\n\u003ctable class=\"pd-spec\"\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eDimensions\u003c\/td\u003e\n\u003ctd\u003e570 x 80 x 65 mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMounting\u003c\/td\u003e\n\u003ctd\u003eWall mount included; optional TV mounts (VB-TVMount-01\/02, TV-Clip) and tabletop mount\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePower\u003c\/td\u003e\n\u003ctd\u003ePower adapter with 3.5 m cable included\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\n\u003c\/div\u003e\u003c\/details\u003e\n\u003cdetails class=\"pd-acc\"\u003e\u003csummary style=\"cursor: pointer; font-weight: 700;\"\u003eCompatibility \u0026amp; Software Support\u003c\/summary\u003e\u003cdiv class=\"pd-acc-body\"\u003e\n\u003cp\u003eThe MeetingBar A25 runs native Microsoft Teams Rooms on Android and native Zoom Rooms. Wired BYOD and single-cable 4K content sharing are available through the \u003ca href=\"\/products\/yealink-ctp25-10-1-touch-console-1303132\"\u003eCTP25 touch console\u003c\/a\u003e, which connects to the bar's VCH port over one Cat5e cable and adds USB-C laptop connectivity with PD charging.\u003c\/p\u003e\n\u003cp\u003eRoom control options include the VCR11 remote (included) and the CTP25. Device management is supported via the Yealink HTTPS web portal, Microsoft Teams Admin Center \/ Intune and Zoom Device Management. Note: the A25 does not support expansion microphones — for larger rooms that need extended mic coverage, consider the \u003ca href=\"\/products\/yealink-meetingbar-a40-microsoft-teams-rooms-on-android-a40-010-teams\"\u003eMeetingBar A40\u003c\/a\u003e or \u003ca href=\"\/products\/yealink-meetingbar-a50-microsoft-teams-rooms-on-android-a50-010-teams\"\u003eA50\u003c\/a\u003e.\u003c\/p\u003e\n\u003c\/div\u003e\u003c\/details\u003e\n\u003cdetails class=\"pd-acc\"\u003e\u003csummary style=\"cursor: pointer; font-weight: 700;\"\u003ePackage Contents \u0026amp; MeetingBar A25 Ordering Information\u003c\/summary\u003e\u003cdiv class=\"pd-acc-body\"\u003e\n\u003cp\u003eInside the box: MeetingBar A25, power adapter (3.5 m cable), 1.8 m HDMI cable, 3 m network cable, 3 m USB-A to USB-C cable, wall mount, cable cover, Quick Start Guide. This A25-010 kit also includes the VCR11 remote control and a USB-C to USB-C cable.\u003c\/p\u003e\n\u003ctable class=\"pd-spec\"\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eA25-010 (1206714)\u003c\/td\u003e\n\u003ctd\u003eMeetingBar A25 + VCR11 remote + USB-C cable — this listing\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eA25-031 (1206713)\u003c\/td\u003e\n\u003ctd\u003e\u003ca href=\"\/products\/yealink-meetingbar-a25-all-in-one-android-video-bar-w-ctp25-a25-031\"\u003eMeetingBar A25 + CTP25 touch panel bundle\u003c\/a\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\n\u003cp\u003eRelated products: \u003ca href=\"\/products\/yealink-ctp25-10-1-touch-console-1303132\"\u003eCTP25 touch console\u003c\/a\u003e, \u003ca href=\"\/products\/yealink-meetingbar-a40-microsoft-teams-rooms-on-android-a40-010-teams\"\u003eMeetingBar A40\u003c\/a\u003e, \u003ca href=\"\/products\/yealink-meetingbar-a50-microsoft-teams-rooms-on-android-a50-010-teams\"\u003eMeetingBar A50\u003c\/a\u003e.\u003c\/p\u003e\n\u003c\/div\u003e\u003c\/details\u003e\n\u003cdetails class=\"pd-acc\"\u003e\u003csummary style=\"cursor: pointer; font-weight: 700;\"\u003eDatasheet \u0026amp; Downloads\u003c\/summary\u003e\u003cdiv class=\"pd-acc-body\"\u003e\n\u003cp\u003e\u003ca href=\"https:\/\/support.yealink.com\/document-detail\/a9be25966721496b995eacb7b2b64c15\" target=\"_blank\" rel=\"noopener\"\u003eOfficial Yealink MeetingBar A25 Datasheet (Yealink Support)\u003c\/a\u003e\u003c\/p\u003e\n\u003cp\u003e\u003ca href=\"https:\/\/www.yealink.com\/en\/product-detail\/microsoft-teams-rooms-meetingbar-a25\" target=\"_blank\" rel=\"noopener\"\u003eYealink MeetingBar A25 Product Page\u003c\/a\u003e\u003c\/p\u003e\n\u003c\/div\u003e\u003c\/details\u003e\n\u003cdetails class=\"pd-acc\"\u003e\u003csummary style=\"cursor: pointer; font-weight: 700;\"\u003eFrequently Asked Questions — Yealink MeetingBar A25\u003c\/summary\u003e\u003cdiv class=\"pd-acc-body\"\u003e\n\u003cp\u003e\u003cstrong\u003eWhat is the difference between the A25-010 and A25-031?\u003c\/strong\u003e\u003cbr\u003eThe A25-010 (this listing) includes the VCR11 remote control. The \u003ca href=\"\/products\/yealink-meetingbar-a25-all-in-one-android-video-bar-w-ctp25-a25-031\"\u003eA25-031 bundle\u003c\/a\u003e adds the CTP25 10.1-inch touch console for one-touch join, wired BYOD and 4K content sharing from the table.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eHow does the A25 compare with the MeetingBar A10?\u003c\/strong\u003e\u003cbr\u003eThe \u003ca href=\"\/products\/yealink-meetingbar-a10-microsoft-teams-rooms-on-android\"\u003eA10\u003c\/a\u003e is a single-lens 4K bar on Android 11 for basic huddle rooms. The A25 upgrades to a triple-camera system with a 151° ultra-wide lens and telephoto portrait close-ups, Android 13, Wi-Fi 6 and a stronger 10 W speaker.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eHow does the A25 compare with the MeetingBar A40?\u003c\/strong\u003e\u003cbr\u003eThe \u003ca href=\"\/products\/yealink-meetingbar-a40-microsoft-teams-rooms-on-android-a40-010-teams\"\u003eA40\u003c\/a\u003e targets small-to-medium rooms with dual 48 MP stitched lenses, 6 m mic pickup, dual 10 W stereo speakers, dual HDMI outputs and support for two expansion microphones; the A25 is sized for focus rooms of 2–5 people.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eDoes the A25 support both Microsoft Teams and Zoom?\u003c\/strong\u003e\u003cbr\u003eYes — it runs Microsoft Teams Rooms on Android and Zoom Rooms natively; you select the platform during setup.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eCan I connect my laptop for BYOD meetings?\u003c\/strong\u003e\u003cbr\u003eYes. With the CTP25 console, a single USB-C cable gives wired BYOD, 4K content sharing and PD laptop charging; the bar's USB-C ports also support wired sharing.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eDoes the MeetingBar A25 come with local warranty in Singapore?\u003c\/strong\u003e\u003cbr\u003eYes. Every MeetingBar A25 sold by SourceIT comes with 2 years local Singapore warranty and a GST invoice.\u003c\/p\u003e\n\u003c\/div\u003e\u003c\/details\u003e\n\u003cp\u003e\u003ciframe title=\"YouTube video player\" src=\"https:\/\/www.youtube.com\/embed\/bpf8gWgOT6s\" height=\"315\" width=\"560\"\u003e\u003c\/iframe\u003e\u003c\/p\u003e\n\u003c\/div\u003e","brand":"Yealink","offers":[{"title":"Default Title","offer_id":51146372612260,"sku":"1206714","price":1875.0,"currency_code":"SGD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0605\/0136\/0804\/files\/yealink-meetingbar-a25-all-in-one-android-video-bar-a25-010-3914254.jpg?v=1759299833"},{"product_id":"yealink-meetingbar-a25-all-in-one-android-video-bar-w-ctp25-a25-031","title":"Yealink MeetingBar A25 All-In-One Android Video Bar with CTP25","description":"\u003cdiv\u003e\n\u003cstyle\u003e\n.pd-acc { border: 1px solid #e2e2e2; border-radius: 8px; margin: 10px 0; overflow: hidden; }\n.pd-acc summary { cursor: pointer; padding: 14px 16px; font-weight: 700; font-size: 1.05em; list-style: none; display: flex; justify-content: space-between; align-items: center; background: #f7f7f7; }\n.pd-acc[open] \u003e summary { border-bottom: 1px solid #e2e2e2; }\n.pd-acc summary::-webkit-details-marker { display: none; }\n.pd-acc summary::after { content: \"+\"; font-size: 1.4em; font-weight: 400; line-height: 1; margin-left: 12px; }\n.pd-acc[open] \u003e summary::after { content: \"\\2212\"; }\n.pd-acc .pd-acc-body { padding: 8px 16px 14px; }\n.pd-spec, .pd-spec tr, .pd-spec td { border: none !important; background: transparent !important; }\n.pd-spec { width: 100%; border-collapse: collapse !important; margin: 6px 0 18px; }\n.pd-spec td { padding: 7px 10px 7px 0 !important; border-bottom: 1px solid #ececec !important; vertical-align: top; font-size: 0.95em; text-align: left; }\n.pd-spec td:first-child { width: 38%; font-weight: 600; color: #333; }\n.pd-spec tr:last-child td { border-bottom: none !important; }\n\u003c\/style\u003e\n\u003ch2\u003eYealink MeetingBar A25 All-In-One Android Video Bar with CTP25 Touch Panel (1206713) - 2 Years Local Warranty\u003c\/h2\u003e\n\u003ch3\u003eComplete Focus-Room Kit: A25 Video Bar + CTP25 Touch Console\u003c\/h3\u003e\n\u003cp\u003eThe Yealink MeetingBar A25 with CTP25 (A25-031 bundle) is a complete room kit for focus rooms, huddle spaces and small meeting rooms of 2–5 people in Singapore. The A25 video bar delivers a triple-camera system, 8 MEMS microphones and a 10 W speaker at the display, while the CTP25 10.1-inch touch console brings one-touch join, call control, wired BYOD and 4K content sharing to the meeting table over a single cable.\u003c\/p\u003e\n\u003ch3\u003eTriple 4K Camera System with IntelliFocus and Privacy Shutter\u003c\/h3\u003e\n\u003cp\u003eThree 4K cameras (8 MP each) pair a 151° ultra-wide lens with two telephoto lenses for portrait close-ups. IntelliFocus dual portraits, Auto Framing, Speaker Tracking, Picture-in-Picture and Video Fence keep remote attendees engaged — with Smart Gallery on Zoom Rooms — and an electric privacy lens cap covers the camera when not in use.\u003c\/p\u003e\n\u003ch3\u003e8 MEMS Microphones with AI-Enhanced Noise Suppression\u003c\/h3\u003e\n\u003cp\u003eThe built-in 8 MEMS microphone array delivers a 5 m pickup range (3.5 m high-quality) with 3 m full-duplex, AI-enhanced noise suppression, Audio Fence and reverberation suppression. The 10 W speaker (max 12 W) fills the room with clear sound up to 90 dB SPL.\u003c\/p\u003e\n\u003ch3\u003eSingle-Cable CTP25: Touch Control, Wired BYOD and 45 W Laptop Charging\u003c\/h3\u003e\n\u003cp\u003eThe CTP25 connects to the A25 with one Cat5e cable carrying power and network, enabling a simplified single login. A single USB-C cable from the console to a laptop delivers 4K content sharing, wired BYOD — using the room's camera and audio on any platform — and up to 45 W PD charging. Running Android 13 with Wi-Fi 6 and Bluetooth 5.0, it mounts on table or wall.\u003c\/p\u003e\n\u003cdetails class=\"pd-acc\"\u003e\u003csummary style=\"cursor: pointer; font-weight: 700;\"\u003eYealink MeetingBar A25 Datasheet — Technical Specifications\u003c\/summary\u003e\u003cdiv class=\"pd-acc-body\"\u003e\n\u003ctable class=\"pd-spec\"\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eModel\u003c\/td\u003e\n\u003ctd\u003eYealink MeetingBar A25 + CTP25 (A25-031 kit)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePart Number (SKU)\u003c\/td\u003e\n\u003ctd\u003e1206713\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eProduct Type\u003c\/td\u003e\n\u003ctd\u003eAll-in-one Android video bar + touch console bundle\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eOperating System\u003c\/td\u003e\n\u003ctd\u003eAndroid 13 (A25 and CTP25)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePlatforms\u003c\/td\u003e\n\u003ctd\u003eNative Microsoft Teams Rooms on Android, native Zoom Rooms\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eRecommended Room Size\u003c\/td\u003e\n\u003ctd\u003eFocus and huddle rooms, 2–5 people\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eWarranty\u003c\/td\u003e\n\u003ctd\u003e2 Years Local Warranty (Singapore)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\n\u003ctable class=\"pd-spec\"\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eCamera System\u003c\/td\u003e\n\u003ctd\u003e3 x 4K cameras (8 MP each): 1 ultra-wide + 2 telephoto\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eUltra-wide Lens\u003c\/td\u003e\n\u003ctd\u003e151° horizontal \/ 81° vertical field of view\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eTelephoto Lenses\u003c\/td\u003e\n\u003ctd\u003e84.4° horizontal \/ 53.1° vertical field of view\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMax Resolution\u003c\/td\u003e\n\u003ctd\u003e3840 x 2160 @ 30 fps\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePrivacy\u003c\/td\u003e\n\u003ctd\u003eElectric privacy lens cap\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eAI Camera Features\u003c\/td\u003e\n\u003ctd\u003eIntelliFocus (2 portraits), Auto Framing, Speaker Tracking, Picture-in-Picture, Video Fence, Smart Gallery (Zoom)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\n\u003ctable class=\"pd-spec\"\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eMicrophones\u003c\/td\u003e\n\u003ctd\u003eBuilt-in 8 MEMS microphone array\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eVoice Pickup Range\u003c\/td\u003e\n\u003ctd\u003e5 m (3.5 m high-quality), 3 m full-duplex\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eNoise Cancellation\u003c\/td\u003e\n\u003ctd\u003eAI-enhanced noise suppression, Audio Fence, reverberation suppression\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eSpeaker\u003c\/td\u003e\n\u003ctd\u003e1 x 10 W speaker (max 12 W), up to 90 dB SPL @ 1 m, 100 Hz – 16 kHz\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\n\u003ctable class=\"pd-spec\"\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eA25 Connectivity\u003c\/td\u003e\n\u003ctd\u003e1 x HDMI out (4K30); 1 x USB 2.0 Type-A; 2 x USB Type-C (one USB 3.0); Gigabit Ethernet; Yealink VCH port; 3.5 mm line-out; Wi-Fi 6; Bluetooth 5.1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eA25 Dimensions\u003c\/td\u003e\n\u003ctd\u003e570 x 80 x 65 mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eA25 Mounting\u003c\/td\u003e\n\u003ctd\u003eWall mount included; optional TV and tabletop mounts\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\n\u003ctable class=\"pd-spec\"\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eCTP25 Display\u003c\/td\u003e\n\u003ctd\u003e10.1-inch IPS, 1280 x 800, multi-point capacitive touch, anti-glare and anti-fingerprint coating\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCTP25 Connection\u003c\/td\u003e\n\u003ctd\u003eSingle Cat5e cable to the bar (power + network) or via IP; PoE 802.3af\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCTP25 USB-C\u003c\/td\u003e\n\u003ctd\u003e4K content sharing, wired BYOD, PD charging up to 45 W\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCTP25 Dimensions\u003c\/td\u003e\n\u003ctd\u003e242.95 x 27.50 x 161.95 mm, 0.683 kg\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\n\u003c\/div\u003e\u003c\/details\u003e\n\u003cdetails class=\"pd-acc\"\u003e\u003csummary style=\"cursor: pointer; font-weight: 700;\"\u003eCompatibility \u0026amp; Software Support\u003c\/summary\u003e\u003cdiv class=\"pd-acc-body\"\u003e\n\u003cp\u003eThe MeetingBar A25 runs native Microsoft Teams Rooms on Android and native Zoom Rooms; the CTP25 mirrors the same platform interface at the table. Wired BYOD through the CTP25 lets the room's camera and audio work with Google Meet, Webex or any other app running on a connected laptop.\u003c\/p\u003e\n\u003cp\u003eDevice management is supported via the Yealink HTTPS web portal, Microsoft Teams Admin Center \/ Intune and Zoom Device Management. Note: the A25 does not support expansion microphones — for bigger rooms consider the \u003ca href=\"\/products\/yealink-a40-meetingbar-with-ctp25-collaboration-touch-panel-bundle-a40-031-teams\"\u003eA40 + CTP25\u003c\/a\u003e or \u003ca href=\"\/products\/yealink-a50-meetingbar-with-ctp25-collaboration-touch-panel-bundle-a50-031\"\u003eA50 + CTP25\u003c\/a\u003e bundles.\u003c\/p\u003e\n\u003c\/div\u003e\u003c\/details\u003e\n\u003cdetails class=\"pd-acc\"\u003e\u003csummary style=\"cursor: pointer; font-weight: 700;\"\u003ePackage Contents \u0026amp; MeetingBar A25 Ordering Information\u003c\/summary\u003e\u003cdiv class=\"pd-acc-body\"\u003e\n\u003cp\u003eInside the box: MeetingBar A25 with power adapter (3.5 m cable), 1.8 m HDMI cable, 3 m network cable, 3 m USB-A to USB-C cable, wall mount, cable cover; CTP25 touch console with 65 W PD power adapter, 7.5 m network cable, 1.2 m USB-C cable, high stand and cable management cover; Quick Start Guides.\u003c\/p\u003e\n\u003ctable class=\"pd-spec\"\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eA25-031 (1206713)\u003c\/td\u003e\n\u003ctd\u003eMeetingBar A25 + CTP25 touch panel — this listing\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eA25-010 (1206714)\u003c\/td\u003e\n\u003ctd\u003e\u003ca href=\"\/products\/yealink-meetingbar-a25-all-in-one-android-video-bar-a25-010\"\u003eMeetingBar A25 + VCR11 remote control\u003c\/a\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\n\u003cp\u003eRelated products: \u003ca href=\"\/products\/yealink-ctp25-10-1-touch-console-1303132\"\u003eCTP25 touch console (standalone)\u003c\/a\u003e, \u003ca href=\"\/products\/yealink-a40-meetingbar-with-ctp25-collaboration-touch-panel-bundle-a40-031-teams\"\u003eMeetingBar A40 + CTP25\u003c\/a\u003e, \u003ca href=\"\/products\/yealink-a50-meetingbar-with-ctp25-collaboration-touch-panel-bundle-a50-031\"\u003eMeetingBar A50 + CTP25\u003c\/a\u003e.\u003c\/p\u003e\n\u003c\/div\u003e\u003c\/details\u003e\n\u003cdetails class=\"pd-acc\"\u003e\u003csummary style=\"cursor: pointer; font-weight: 700;\"\u003eDatasheet \u0026amp; Downloads\u003c\/summary\u003e\u003cdiv class=\"pd-acc-body\"\u003e\n\u003cp\u003e\u003ca href=\"https:\/\/support.yealink.com\/document-detail\/a9be25966721496b995eacb7b2b64c15\" target=\"_blank\" rel=\"noopener\"\u003eOfficial Yealink MeetingBar A25 Datasheet (Yealink Support)\u003c\/a\u003e\u003c\/p\u003e\n\u003cp\u003e\u003ca href=\"https:\/\/support.yealink.com\/document-detail\/8e1c7daa8f2b48bb9fa2f972ff22f148\" target=\"_blank\" rel=\"noopener\"\u003eOfficial Yealink CTP25 Datasheet (Yealink Support)\u003c\/a\u003e\u003c\/p\u003e\n\u003cp\u003e\u003ca href=\"https:\/\/www.yealink.com\/en\/product-detail\/microsoft-teams-rooms-meetingbar-a25\" target=\"_blank\" rel=\"noopener\"\u003eYealink MeetingBar A25 Product Page\u003c\/a\u003e\u003c\/p\u003e\n\u003c\/div\u003e\u003c\/details\u003e\n\u003cdetails class=\"pd-acc\"\u003e\u003csummary style=\"cursor: pointer; font-weight: 700;\"\u003eFrequently Asked Questions — Yealink MeetingBar A25 with CTP25\u003c\/summary\u003e\u003cdiv class=\"pd-acc-body\"\u003e\n\u003cp\u003e\u003cstrong\u003eWhat does the CTP25 add over the standard A25 kit?\u003c\/strong\u003e\u003cbr\u003eThe \u003ca href=\"\/products\/yealink-meetingbar-a25-all-in-one-android-video-bar-a25-010\"\u003eA25-010 kit\u003c\/a\u003e ships with the VCR11 remote. This A25-031 bundle adds the CTP25 10.1-inch touch console: one-touch join, call and camera control, wired BYOD, 4K content sharing and up to 45 W laptop charging from the table.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eHow does the CTP25 connect to the A25?\u003c\/strong\u003e\u003cbr\u003eWith a single Cat5e cable that carries both power and network from the bar's VCH port — no power outlet needed at the table — and a simplified single login covers both devices.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eDoes this kit support both Microsoft Teams and Zoom?\u003c\/strong\u003e\u003cbr\u003eYes. The A25 runs Microsoft Teams Rooms on Android and Zoom Rooms natively, and the CTP25 mirrors whichever platform the bar is signed into.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eCan I use the room with Google Meet or Webex?\u003c\/strong\u003e\u003cbr\u003eYes — plug a laptop into the CTP25's USB-C port for wired BYOD and the room's camera, microphones and speaker serve any meeting app.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eHow does this bundle compare with the A40 + CTP25?\u003c\/strong\u003e\u003cbr\u003eThe \u003ca href=\"\/products\/yealink-a40-meetingbar-with-ctp25-collaboration-touch-panel-bundle-a40-031-teams\"\u003eA40 bundle\u003c\/a\u003e steps up to dual 48 MP stitched lenses, 6 m mic pickup, dual 10 W stereo speakers and expansion-mic support for small-to-medium rooms; the A25 bundle is sized for focus rooms of 2–5 people.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eDoes this bundle come with local warranty in Singapore?\u003c\/strong\u003e\u003cbr\u003eYes. Every MeetingBar A25 with CTP25 sold by SourceIT comes with 2 years local Singapore warranty and a GST invoice.\u003c\/p\u003e\n\u003c\/div\u003e\u003c\/details\u003e\n\u003cp\u003e\u003ciframe title=\"YouTube video player\" src=\"https:\/\/www.youtube.com\/embed\/bpf8gWgOT6s\" height=\"315\" width=\"560\"\u003e\u003c\/iframe\u003e\u003c\/p\u003e\n\u003c\/div\u003e","brand":"Yealink","offers":[{"title":"Default Title","offer_id":51146373005476,"sku":"1206713","price":2664.0,"currency_code":"SGD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0605\/0136\/0804\/files\/yealink-meetingbar-a25-all-in-one-android-video-bar-w-ctp25-a25-031-9747219.jpg?v=1759299833"},{"product_id":"maxhub-xbar-u50-100mp-videobar","title":"MAXHUB XBar U50 100MP BYOD Videobar","description":"\u003ch2\u003e\n\u003cstrong\u003eMAXHUB XBar U50 100MP BYOD Videobar -  Local Warranty \u003c\/strong\u003e\n\u003c\/h2\u003e\n\u003ch2 data-start=\"226\" data-end=\"303\"\u003e\u003cstrong data-start=\"229\" data-end=\"301\"\u003eMAXHUB XBar U50 – 100MP Videobar for the Next Level of Collaboration\u003c\/strong\u003e\u003c\/h2\u003e\n\u003cp data-start=\"304\" data-end=\"874\"\u003eThe \u003cstrong data-start=\"308\" data-end=\"327\"\u003eMAXHUB XBar U50\u003c\/strong\u003e redefines modern video conferencing with its groundbreaking \u003cstrong data-start=\"388\" data-end=\"423\"\u003e100-megapixel ultra-wide camera\u003c\/strong\u003e, intelligent AI framing, and enterprise-grade audio system. Purpose-built for \u003cstrong data-start=\"502\" data-end=\"527\"\u003eMicrosoft Teams Rooms\u003c\/strong\u003e, hybrid meeting spaces, and high-impact collaboration environments, the U50 consolidates premium imaging, clear audio, and smart processing into a single all-in-one videobar. Its plug-and-play design ensures effortless deployment across boardrooms, conference rooms, and training spaces, delivering a consistently professional meeting experience.\u003c\/p\u003e\n\u003ch2 data-start=\"876\" data-end=\"931\"\u003e\u003cstrong data-start=\"879\" data-end=\"929\"\u003eRevolutionary 100-Megapixel Ultra-Wide Imaging\u003c\/strong\u003e\u003c\/h2\u003e\n\u003cp data-start=\"932\" data-end=\"1489\"\u003eThe U50’s \u003cstrong data-start=\"942\" data-end=\"965\"\u003e100MP camera sensor\u003c\/strong\u003e captures an exceptionally wide field of view with stunning clarity, ensuring every participant, whiteboard, and presentation surface remains visible. Its \u003cstrong data-start=\"1120\" data-end=\"1143\"\u003e120° panoramic lens\u003c\/strong\u003e eliminates blind spots, creating a complete view of the meeting space without distortion. HDR imaging maintains accurate lighting and true-to-life skin tones, even in mixed or low-light environments. Whether installed in executive boardrooms or large collaboration areas, the U50 delivers studio-quality video that elevates every hybrid meeting.\u003c\/p\u003e\n\u003ch2 data-start=\"1491\" data-end=\"1548\"\u003e\u003cstrong data-start=\"1494\" data-end=\"1546\"\u003eAI Auto-Framing and Intelligent Speaker Tracking\u003c\/strong\u003e\u003c\/h2\u003e\n\u003cp data-start=\"1549\" data-end=\"2047\"\u003eEquipped with advanced AI algorithms, the MAXHUB XBar U50 autonomously detects people and optimizes composition in real time. \u003cstrong data-start=\"1675\" data-end=\"1691\"\u003eAuto-framing\u003c\/strong\u003e adjusts the view based on the number and position of participants, while \u003cstrong data-start=\"1765\" data-end=\"1797\"\u003evoice-based speaker tracking\u003c\/strong\u003e smoothly follows active presenters. These AI-driven features create an engaging, natural viewing experience for remote attendees, making discussions feel more interactive and immersive — ideal for team meetings, presentations, and training sessions.\u003c\/p\u003e\n\u003ch2 data-start=\"2049\" data-end=\"2107\"\u003e\u003cstrong data-start=\"2052\" data-end=\"2105\"\u003eAll-in-One Audio System and Seamless Connectivity\u003c\/strong\u003e\u003c\/h2\u003e\n\u003cp data-start=\"2108\" data-end=\"2832\"\u003eThe U50 combines visual excellence with powerful audio performance. A \u003cstrong data-start=\"2178\" data-end=\"2220\"\u003e6-element beamforming microphone array\u003c\/strong\u003e captures voices clearly while minimizing background noise, and the full-range stereo speakers deliver strong, balanced audio throughout the room. Built-in echo cancellation ensures smooth back-and-forth dialogue without feedback or distortion.\u003cbr data-start=\"2464\" data-end=\"2467\"\u003eConnectivity is equally flexible: \u003cstrong data-start=\"2501\" data-end=\"2530\"\u003eUSB-C, HDMI, and Ethernet\u003c\/strong\u003e provide hard-wired reliability, while \u003cstrong data-start=\"2569\" data-end=\"2596\"\u003eBluetooth 5.0 and Wi-Fi\u003c\/strong\u003e support wireless control and additional integration. Compatible with \u003cstrong data-start=\"2666\" data-end=\"2715\"\u003eMicrosoft Teams, Zoom, Google Meet, and Webex\u003c\/strong\u003e, the U50 works effortlessly across leading collaboration platforms without requiring an external codec or processor.\u003c\/p\u003e\n\u003cp data-start=\"1501\" data-end=\"1924\"\u003e\u003ciframe width=\"560\" height=\"315\" src=\"https:\/\/www.youtube.com\/embed\/o3UULMZI8rE?si=aEcWIgvNspjRV7CD\" title=\"YouTube video player\"\u003e\u003c\/iframe\u003e\u003c\/p\u003e\n\u003ch2 data-start=\"2834\" data-end=\"2883\"\u003e\u003cstrong data-start=\"2837\" data-end=\"2883\"\u003eTechnical Specifications – MAXHUB XBar U50\u003c\/strong\u003e\u003c\/h2\u003e\n\u003ch3 data-start=\"2885\" data-end=\"2899\"\u003e\u003cstrong data-start=\"2889\" data-end=\"2899\"\u003eCamera\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cul data-start=\"2900\" data-end=\"3176\"\u003e\n\u003cli data-start=\"2900\" data-end=\"2946\"\u003e\n\u003cp data-start=\"2902\" data-end=\"2946\"\u003e\u003cstrong data-start=\"2902\" data-end=\"2917\"\u003eResolution:\u003c\/strong\u003e 100MP Ultra-Wide 4K sensor\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"2947\" data-end=\"2984\"\u003e\n\u003cp data-start=\"2949\" data-end=\"2984\"\u003e\u003cstrong data-start=\"2949\" data-end=\"2967\"\u003eField of View:\u003c\/strong\u003e 120° panoramic\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"2985\" data-end=\"3087\"\u003e\n\u003cp data-start=\"2987\" data-end=\"3087\"\u003e\u003cstrong data-start=\"2987\" data-end=\"3007\"\u003eAI Capabilities:\u003c\/strong\u003e Auto-framing, active speaker tracking, facial detection, participant counting\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"3088\" data-end=\"3176\"\u003e\n\u003cp data-start=\"3090\" data-end=\"3176\"\u003e\u003cstrong data-start=\"3090\" data-end=\"3111\"\u003eImage Processing:\u003c\/strong\u003e HDR optimization, low-light enhancement, distortion correction\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch3 data-start=\"3178\" data-end=\"3203\"\u003e\u003cstrong data-start=\"3182\" data-end=\"3203\"\u003eMicrophone System\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cul data-start=\"3204\" data-end=\"3415\"\u003e\n\u003cli data-start=\"3204\" data-end=\"3256\"\u003e\n\u003cp data-start=\"3206\" data-end=\"3256\"\u003e\u003cstrong data-start=\"3206\" data-end=\"3215\"\u003eType:\u003c\/strong\u003e 6-element beamforming microphone array\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"3257\" data-end=\"3415\"\u003e\n\u003cp data-start=\"3259\" data-end=\"3274\"\u003e\u003cstrong data-start=\"3259\" data-end=\"3272\"\u003eFeatures:\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul data-start=\"3277\" data-end=\"3415\"\u003e\n\u003cli data-start=\"3277\" data-end=\"3298\"\u003e\n\u003cp data-start=\"3279\" data-end=\"3298\"\u003eNoise suppression\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"3301\" data-end=\"3331\"\u003e\n\u003cp data-start=\"3303\" data-end=\"3331\"\u003eAcoustic echo cancellation\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"3334\" data-end=\"3356\"\u003e\n\u003cp data-start=\"3336\" data-end=\"3356\"\u003eVoice localization\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"3359\" data-end=\"3415\"\u003e\n\u003cp data-start=\"3361\" data-end=\"3415\"\u003eFar-field pickup suitable for medium and large rooms\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch3 data-start=\"3417\" data-end=\"3439\"\u003e\u003cstrong data-start=\"3421\" data-end=\"3439\"\u003eSpeaker System\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cul data-start=\"3440\" data-end=\"3557\"\u003e\n\u003cli data-start=\"3440\" data-end=\"3482\"\u003e\n\u003cp data-start=\"3442\" data-end=\"3482\"\u003e\u003cstrong data-start=\"3442\" data-end=\"3453\"\u003eOutput:\u003c\/strong\u003e Full-range stereo speakers\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"3483\" data-end=\"3557\"\u003e\n\u003cp data-start=\"3485\" data-end=\"3557\"\u003e\u003cstrong data-start=\"3485\" data-end=\"3508\"\u003eAudio Enhancements:\u003c\/strong\u003e Echo cancellation, speech clarity optimization\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch3 data-start=\"3559\" data-end=\"3579\"\u003e\u003cstrong data-start=\"3563\" data-end=\"3579\"\u003eConnectivity\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cul data-start=\"3580\" data-end=\"3697\"\u003e\n\u003cli data-start=\"3580\" data-end=\"3616\"\u003e\n\u003cp data-start=\"3582\" data-end=\"3616\"\u003e\u003cstrong data-start=\"3582\" data-end=\"3592\"\u003ePorts:\u003c\/strong\u003e USB-C, HDMI, Ethernet\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"3617\" data-end=\"3655\"\u003e\n\u003cp data-start=\"3619\" data-end=\"3655\"\u003e\u003cstrong data-start=\"3619\" data-end=\"3632\"\u003eWireless:\u003c\/strong\u003e Bluetooth 5.0, Wi-Fi\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"3656\" data-end=\"3697\"\u003e\n\u003cp data-start=\"3658\" data-end=\"3697\"\u003e\u003cstrong data-start=\"3658\" data-end=\"3668\"\u003ePower:\u003c\/strong\u003e DC input (model-dependent)\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch3 data-start=\"3699\" data-end=\"3720\"\u003e\u003cstrong data-start=\"3703\" data-end=\"3720\"\u003eCompatibility\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cul data-start=\"3721\" data-end=\"3833\"\u003e\n\u003cli data-start=\"3721\" data-end=\"3833\"\u003e\n\u003cp data-start=\"3723\" data-end=\"3833\"\u003e\u003cstrong data-start=\"3723\" data-end=\"3737\"\u003ePlatforms:\u003c\/strong\u003e Microsoft Teams, Zoom, Google Meet, Webex, and other UVC\/UAC-compliant conferencing platforms\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch3 data-start=\"3835\" data-end=\"3859\"\u003e\u003cstrong data-start=\"3839\" data-end=\"3859\"\u003eMounting Options\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cul data-start=\"3860\" data-end=\"3915\"\u003e\n\u003cli data-start=\"3860\" data-end=\"3874\"\u003e\n\u003cp data-start=\"3862\" data-end=\"3874\"\u003eWall mount\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"3875\" data-end=\"3892\"\u003e\n\u003cp data-start=\"3877\" data-end=\"3892\"\u003eDisplay mount\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"3893\" data-end=\"3915\"\u003e\n\u003cp data-start=\"3895\" data-end=\"3915\"\u003eTabletop placement\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch3 data-start=\"3917\" data-end=\"3933\"\u003e\u003cstrong data-start=\"3921\" data-end=\"3933\"\u003ePhysical\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cul data-start=\"3934\" data-end=\"4037\"\u003e\n\u003cli data-start=\"3934\" data-end=\"3986\"\u003e\n\u003cp data-start=\"3936\" data-end=\"3986\"\u003e\u003cstrong data-start=\"3936\" data-end=\"3951\"\u003eDimensions:\u003c\/strong\u003e 680mm (W) × 100mm (H) × 95mm (D)\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"3987\" data-end=\"4009\"\u003e\n\u003cp data-start=\"3989\" data-end=\"4009\"\u003e\u003cstrong data-start=\"3989\" data-end=\"4000\"\u003eWeight:\u003c\/strong\u003e 2.3 kg\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"4010\" data-end=\"4037\"\u003e\n\u003cp data-start=\"4012\" data-end=\"4037\"\u003e\u003cstrong data-start=\"4012\" data-end=\"4021\"\u003eGTIN:\u003c\/strong\u003e 6974777911826\u003cbr\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e","brand":"MAXHUB","offers":[{"title":"Default Title","offer_id":51158165487780,"sku":"XBar U50","price":1613.0,"currency_code":"SGD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0605\/0136\/0804\/files\/maxhub-xbar-u50-100mp-videobar-6730746.jpg?v=1760702728"},{"product_id":"maxhub-xbar-w70-kit-microsoft-teams-rooms-videobar","title":"MAXHUB XBar W70 Kit Microsoft Teams Rooms Videobar","description":"\u003ch2\u003e\n\u003cstrong\u003eMAXHUB XBar W70 Kit Microsoft Teams Rooms Videobar - 3 Years Local Warranty \u003c\/strong\u003e\n\u003c\/h2\u003e\n\u003ch2 data-start=\"0\" data-end=\"54\"\u003e\u003cstrong data-start=\"3\" data-end=\"52\"\u003eAll-in-One Solution for Microsoft Teams Rooms\u003c\/strong\u003e\u003c\/h2\u003e\n\u003cp data-start=\"55\" data-end=\"575\"\u003eThe \u003cstrong data-start=\"59\" data-end=\"82\"\u003eMAXHUB XBar W70 Kit\u003c\/strong\u003e is a complete Microsoft Teams Rooms–ready videobar that integrates a powerful 4K camera, intelligent audio array, and AI-driven collaboration features into one unified device. Built to simplify the meeting experience, it transforms any workspace into a professional conferencing environment with seamless plug-and-play operation for Teams-certified deployments. Ideal for hybrid workspaces, the W70 enables consistent, high-quality meetings without the complexity of traditional AV systems.\u003c\/p\u003e\n\u003ch2 data-start=\"576\" data-end=\"614\"\u003e\u003cstrong data-start=\"579\" data-end=\"612\"\u003eExceptional 4K Visual Clarity\u003c\/strong\u003e\u003c\/h2\u003e\n\u003cp data-start=\"615\" data-end=\"1129\"\u003eThe XBar W70 features a \u003cstrong data-start=\"639\" data-end=\"663\"\u003e4K ultra-wide camera\u003c\/strong\u003e with a \u003cstrong data-start=\"671\" data-end=\"693\"\u003e120° field of view\u003c\/strong\u003e, ensuring all participants remain clearly visible—even in compact rooms. \u003cstrong data-start=\"767\" data-end=\"786\"\u003eAI auto-framing\u003c\/strong\u003e and \u003cstrong data-start=\"791\" data-end=\"811\"\u003espeaker tracking\u003c\/strong\u003e automatically adjust the view based on movement and conversation flow, keeping presenters centered and maintaining a natural, engaging visual experience. Its advanced low-light performance ensures consistent clarity across different lighting environments, supporting huddle rooms and medium conference spaces alike.\u003c\/p\u003e\n\u003ch2 data-start=\"1130\" data-end=\"1167\"\u003e\u003cstrong data-start=\"1133\" data-end=\"1165\"\u003eAI-Enhanced Audio Experience\u003c\/strong\u003e\u003c\/h2\u003e\n\u003cp data-start=\"1168\" data-end=\"1627\"\u003eEquipped with a \u003cstrong data-start=\"1184\" data-end=\"1208\"\u003esix-microphone array\u003c\/strong\u003e, the MAXHUB W70 uses AI-powered noise suppression and echo cancellation to isolate voices and eliminate background distractions. With an \u003cstrong data-start=\"1346\" data-end=\"1370\"\u003e8-meter pickup range\u003c\/strong\u003e, it captures speech accurately even when participants move around the room. The built-in full-range speaker produces crisp, well-balanced sound for calls, content sharing, and presentations—ensuring remote and in-room attendees hear every detail clearly.\u003c\/p\u003e\n\u003ch2 data-start=\"1628\" data-end=\"1678\"\u003e\u003cstrong data-start=\"1631\" data-end=\"1676\"\u003eEffortless Setup and Seamless Integration\u003c\/strong\u003e\u003c\/h2\u003e\n\u003cp data-start=\"1679\" data-end=\"2191\"\u003eCertified for \u003cstrong data-start=\"1693\" data-end=\"1718\"\u003eMicrosoft Teams Rooms\u003c\/strong\u003e, the W70 Kit works instantly with minimal setup. Its single-cable connectivity reduces clutter and speeds up deployment, while the included control panel provides easy meeting management with one-touch join and intuitive controls. The videobar integrates seamlessly with a wide range of displays and supports centralized IT administration through MAXHUB’s management ecosystem, making it suitable for enterprise environments requiring scalable and secure device control.\u003c\/p\u003e\n\u003cp data-start=\"1501\" data-end=\"1924\"\u003e\u003ciframe width=\"560\" height=\"315\" src=\"https:\/\/www.youtube.com\/embed\/o3UULMZI8rE?si=aEcWIgvNspjRV7CD\" title=\"YouTube video player\"\u003e\u003c\/iframe\u003e\u003c\/p\u003e\n\u003ch2 data-start=\"2192\" data-end=\"2247\"\u003e\u003cstrong data-start=\"2195\" data-end=\"2245\"\u003eTechnical Specifications – MAXHUB XBar W70 Kit\u003c\/strong\u003e\u003c\/h2\u003e\n\u003ch3 data-start=\"2248\" data-end=\"2264\"\u003e\u003cstrong data-start=\"2252\" data-end=\"2262\"\u003eCamera\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cul data-start=\"2265\" data-end=\"2401\"\u003e\n\u003cli data-start=\"2265\" data-end=\"2287\"\u003e\n\u003cp data-start=\"2267\" data-end=\"2287\"\u003e4K Ultra HD camera\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"2288\" data-end=\"2310\"\u003e\n\u003cp data-start=\"2290\" data-end=\"2310\"\u003e120° field of view\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"2311\" data-end=\"2351\"\u003e\n\u003cp data-start=\"2313\" data-end=\"2351\"\u003eAI auto-framing and speaker tracking\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"2352\" data-end=\"2401\"\u003e\n\u003cp data-start=\"2354\" data-end=\"2401\"\u003eAdaptive image processing for varied lighting\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch3 data-start=\"2402\" data-end=\"2429\"\u003e\u003cstrong data-start=\"2406\" data-end=\"2427\"\u003eMicrophone System\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cul data-start=\"2430\" data-end=\"2527\"\u003e\n\u003cli data-start=\"2430\" data-end=\"2460\"\u003e\n\u003cp data-start=\"2432\" data-end=\"2460\"\u003e6-element microphone array\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"2461\" data-end=\"2480\"\u003e\n\u003cp data-start=\"2463\" data-end=\"2480\"\u003e8m pickup range\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"2481\" data-end=\"2527\"\u003e\n\u003cp data-start=\"2483\" data-end=\"2527\"\u003eAI noise suppression and echo cancellation\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch3 data-start=\"2528\" data-end=\"2552\"\u003e\u003cstrong data-start=\"2532\" data-end=\"2550\"\u003eSpeaker System\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cul data-start=\"2553\" data-end=\"2634\"\u003e\n\u003cli data-start=\"2553\" data-end=\"2582\"\u003e\n\u003cp data-start=\"2555\" data-end=\"2582\"\u003eFull-range stereo speaker\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"2583\" data-end=\"2634\"\u003e\n\u003cp data-start=\"2585\" data-end=\"2634\"\u003eOptimized for voice clarity and balanced output\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch3 data-start=\"2635\" data-end=\"2657\"\u003e\u003cstrong data-start=\"2639\" data-end=\"2655\"\u003eConnectivity\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cul data-start=\"2658\" data-end=\"2713\"\u003e\n\u003cli data-start=\"2658\" data-end=\"2667\"\u003e\n\u003cp data-start=\"2660\" data-end=\"2667\"\u003eUSB-C\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"2668\" data-end=\"2676\"\u003e\n\u003cp data-start=\"2670\" data-end=\"2676\"\u003eHDMI\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"2677\" data-end=\"2689\"\u003e\n\u003cp data-start=\"2679\" data-end=\"2689\"\u003eEthernet\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"2690\" data-end=\"2703\"\u003e\n\u003cp data-start=\"2692\" data-end=\"2703\"\u003eBluetooth\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"2704\" data-end=\"2713\"\u003e\n\u003cp data-start=\"2706\" data-end=\"2713\"\u003eWi-Fi\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch3 data-start=\"2714\" data-end=\"2737\"\u003e\u003cstrong data-start=\"2718\" data-end=\"2735\"\u003eCompatibility\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cul data-start=\"2738\" data-end=\"2830\"\u003e\n\u003cli data-start=\"2738\" data-end=\"2772\"\u003e\n\u003cp data-start=\"2740\" data-end=\"2772\"\u003eMicrosoft Teams Rooms (native)\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"2773\" data-end=\"2787\"\u003e\n\u003cp data-start=\"2775\" data-end=\"2787\"\u003eZoom Rooms\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"2788\" data-end=\"2830\"\u003e\n\u003cp data-start=\"2790\" data-end=\"2830\"\u003eOther UC platforms (UVC\/UAC compliant)\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch3 data-start=\"2831\" data-end=\"2857\"\u003e\u003cstrong data-start=\"2835\" data-end=\"2855\"\u003eMounting Options\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cul data-start=\"2858\" data-end=\"2903\"\u003e\n\u003cli data-start=\"2858\" data-end=\"2872\"\u003e\n\u003cp data-start=\"2860\" data-end=\"2872\"\u003eWall mount\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"2873\" data-end=\"2885\"\u003e\n\u003cp data-start=\"2875\" data-end=\"2885\"\u003eTabletop\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"2886\" data-end=\"2903\"\u003e\n\u003cp data-start=\"2888\" data-end=\"2903\"\u003eDisplay mount\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch3 data-start=\"2904\" data-end=\"2919\"\u003e\u003cstrong data-start=\"2908\" data-end=\"2917\"\u003ePower\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cul data-start=\"2920\" data-end=\"2965\"\u003e\n\u003cli data-start=\"2920\" data-end=\"2941\"\u003e\n\u003cp data-start=\"2922\" data-end=\"2941\"\u003eSupports \u003cstrong data-start=\"2931\" data-end=\"2939\"\u003ePoE+\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"2942\" data-end=\"2965\"\u003e\n\u003cp data-start=\"2944\" data-end=\"2965\"\u003eOptional AC adapter\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch3 data-start=\"2966\" data-end=\"2984\"\u003e\u003cstrong data-start=\"2970\" data-end=\"2982\"\u003ePhysical\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cul data-start=\"2985\" data-end=\"3049\"\u003e\n\u003cli data-start=\"2985\" data-end=\"3021\"\u003e\n\u003cp data-start=\"2987\" data-end=\"3021\"\u003eDimensions: \u003cstrong data-start=\"2999\" data-end=\"3019\"\u003e600 × 90 × 85 mm\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"3022\" data-end=\"3049\"\u003e\n\u003cp data-start=\"3024\" data-end=\"3049\"\u003eGTIN: \u003cstrong data-start=\"3030\" data-end=\"3047\"\u003e6974862540913\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e","brand":"MAXHUB","offers":[{"title":"Default Title","offer_id":51162893189284,"sku":"XBar W70 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Designed as an all-in-one conferencing solution, it combines a high-definition camera, advanced microphone array, and powerful speakers into a single streamlined device. Certified for Teams, the V70 enables one-touch meeting join, simplified management, and consistent performance across meeting spaces. It delivers the reliability and ease of use modern organizations expect for daily collaboration.\u003c\/p\u003e\n\u003ch2 data-start=\"574\" data-end=\"607\"\u003e\u003cstrong data-start=\"577\" data-end=\"605\"\u003eCrystal-Clear 4K Visuals\u003c\/strong\u003e\u003c\/h2\u003e\n\u003cp data-start=\"608\" data-end=\"1139\"\u003eFeaturing a professional-grade \u003cstrong data-start=\"639\" data-end=\"661\"\u003e4K Ultra HD camera\u003c\/strong\u003e, the MAXHUB XBar V70 ensures sharp, lifelike video quality in every meeting. Its \u003cstrong data-start=\"743\" data-end=\"770\"\u003e120° wide field of view\u003c\/strong\u003e accommodates full-room coverage, making it ideal for medium-sized spaces. With \u003cstrong data-start=\"850\" data-end=\"877\"\u003eAI-powered auto-framing\u003c\/strong\u003e and \u003cstrong data-start=\"882\" data-end=\"902\"\u003espeaker tracking\u003c\/strong\u003e, the device dynamically adjusts to movement and participation, ensuring each speaker stays centered and visible without manual adjustment. The result is a smoother, more natural visual experience for both in-room and remote attendees.\u003c\/p\u003e\n\u003ch2 data-start=\"1140\" data-end=\"1175\"\u003e\u003cstrong data-start=\"1143\" data-end=\"1173\"\u003eAI-Driven Audio Experience\u003c\/strong\u003e\u003c\/h2\u003e\n\u003cp data-start=\"1176\" data-end=\"1705\"\u003eThe V70 uses an \u003cstrong data-start=\"1192\" data-end=\"1234\"\u003e8-element beamforming microphone array\u003c\/strong\u003e paired with intelligent noise-suppression algorithms to isolate speech and reduce disruptive background noise. Voices remain clear even when multiple participants speak or move around the room. The \u003cstrong data-start=\"1433\" data-end=\"1461\"\u003edual full-range speakers\u003c\/strong\u003e produce rich, balanced sound with strong bass response—making voices easier to follow and improving comprehension for remote participants. This combination of voice pickup accuracy and output clarity supports productive hybrid collaboration.\u003c\/p\u003e\n\u003ch2 data-start=\"1706\" data-end=\"1747\"\u003e\u003cstrong data-start=\"1709\" data-end=\"1745\"\u003eEasy Setup and Smart Integration\u003c\/strong\u003e\u003c\/h2\u003e\n\u003cp data-start=\"1748\" data-end=\"2259\"\u003eEngineered for fast deployment, the MAXHUB XBar V70 Kit supports \u003cstrong data-start=\"1813\" data-end=\"1845\"\u003eUSB-C and HDMI plug-and-play\u003c\/strong\u003e connectivity, reducing installation time and minimizing reliance on complex AV equipment. It integrates natively with \u003cstrong data-start=\"1964\" data-end=\"1989\"\u003eMicrosoft Teams Rooms\u003c\/strong\u003e systems and also works seamlessly with \u003cstrong data-start=\"2029\" data-end=\"2043\"\u003eZoom Rooms\u003c\/strong\u003e, Google Meet, and other UVC\/UAC-compatible platforms. The clean, minimalist design reduces cable clutter and maintains a professional appearance in conference rooms, huddle spaces, and hybrid meeting environments.\u003c\/p\u003e\n\u003cp data-start=\"1501\" data-end=\"1924\"\u003e\u003ciframe width=\"560\" height=\"315\" src=\"https:\/\/www.youtube.com\/embed\/o3UULMZI8rE?si=aEcWIgvNspjRV7CD\" title=\"YouTube video player\"\u003e\u003c\/iframe\u003e\u003c\/p\u003e\n\u003ch2 data-start=\"2260\" data-end=\"2315\"\u003e\u003cstrong data-start=\"2263\" data-end=\"2313\"\u003eTechnical Specifications – MAXHUB XBar V70 Kit\u003c\/strong\u003e\u003c\/h2\u003e\n\u003ch3 data-start=\"2316\" data-end=\"2332\"\u003e\u003cstrong data-start=\"2320\" data-end=\"2330\"\u003eCamera\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cul data-start=\"2333\" data-end=\"2495\"\u003e\n\u003cli data-start=\"2333\" data-end=\"2355\"\u003e\n\u003cp data-start=\"2335\" data-end=\"2355\"\u003e4K Ultra HD sensor\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"2356\" data-end=\"2383\"\u003e\n\u003cp data-start=\"2358\" data-end=\"2383\"\u003e120° wide field of view\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"2384\" data-end=\"2432\"\u003e\n\u003cp data-start=\"2386\" data-end=\"2432\"\u003eAI auto-framing and dynamic speaker tracking\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"2433\" data-end=\"2495\"\u003e\n\u003cp data-start=\"2435\" data-end=\"2495\"\u003eAdaptive image enhancement for varying lighting conditions\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch3 data-start=\"2496\" data-end=\"2523\"\u003e\u003cstrong data-start=\"2500\" data-end=\"2521\"\u003eMicrophone System\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cul data-start=\"2524\" data-end=\"2699\"\u003e\n\u003cli data-start=\"2524\" data-end=\"2566\"\u003e\n\u003cp data-start=\"2526\" data-end=\"2566\"\u003e8-element beamforming microphone array\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"2567\" data-end=\"2603\"\u003e\n\u003cp data-start=\"2569\" data-end=\"2603\"\u003ePickup range: up to \u003cstrong data-start=\"2589\" data-end=\"2601\"\u003e8 meters\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"2604\" data-end=\"2647\"\u003e\n\u003cp data-start=\"2606\" data-end=\"2647\"\u003eNoise suppression and echo cancellation\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"2648\" data-end=\"2699\"\u003e\n\u003cp data-start=\"2650\" data-end=\"2699\"\u003eVoice localization for accurate speaker capture\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch3 data-start=\"2700\" data-end=\"2724\"\u003e\u003cstrong data-start=\"2704\" data-end=\"2722\"\u003eSpeaker System\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cul data-start=\"2725\" data-end=\"2849\"\u003e\n\u003cli data-start=\"2725\" data-end=\"2760\"\u003e\n\u003cp data-start=\"2727\" data-end=\"2760\"\u003eDual full-range stereo speakers\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"2761\" data-end=\"2804\"\u003e\n\u003cp data-start=\"2763\" data-end=\"2804\"\u003eEnhanced bass for richer sound response\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"2805\" data-end=\"2849\"\u003e\n\u003cp data-start=\"2807\" data-end=\"2849\"\u003eOptimized for medium-sized meeting rooms\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch3 data-start=\"2850\" data-end=\"2872\"\u003e\u003cstrong data-start=\"2854\" data-end=\"2870\"\u003eConnectivity\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cul data-start=\"2873\" data-end=\"3056\"\u003e\n\u003cli data-start=\"2873\" data-end=\"2910\"\u003e\n\u003cp data-start=\"2875\" data-end=\"2910\"\u003eUSB-C for plug-and-play operation\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"2911\" data-end=\"2955\"\u003e\n\u003cp data-start=\"2913\" data-end=\"2955\"\u003eHDMI for content and display connections\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"2956\" data-end=\"2992\"\u003e\n\u003cp data-start=\"2958\" data-end=\"2992\"\u003eEthernet for network integration\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"2993\" data-end=\"3056\"\u003e\n\u003cp data-start=\"2995\" data-end=\"3056\"\u003eBluetooth and Wi-Fi for wireless accessories and management\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch3 data-start=\"3057\" data-end=\"3080\"\u003e\u003cstrong data-start=\"3061\" data-end=\"3078\"\u003eCompatibility\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cul data-start=\"3081\" data-end=\"3185\"\u003e\n\u003cli data-start=\"3081\" data-end=\"3127\"\u003e\n\u003cp data-start=\"3083\" data-end=\"3127\"\u003eMicrosoft Teams Rooms (native integration)\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"3128\" data-end=\"3142\"\u003e\n\u003cp data-start=\"3130\" data-end=\"3142\"\u003eZoom Rooms\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"3143\" data-end=\"3185\"\u003e\n\u003cp data-start=\"3145\" data-end=\"3185\"\u003eOther UC platforms (UVC\/UAC compliant)\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch3 data-start=\"3186\" data-end=\"3212\"\u003e\u003cstrong data-start=\"3190\" data-end=\"3210\"\u003eMounting Options\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cul data-start=\"3213\" data-end=\"3268\"\u003e\n\u003cli data-start=\"3213\" data-end=\"3227\"\u003e\n\u003cp data-start=\"3215\" data-end=\"3227\"\u003eWall mount\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"3228\" data-end=\"3245\"\u003e\n\u003cp data-start=\"3230\" data-end=\"3245\"\u003eDisplay mount\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"3246\" data-end=\"3268\"\u003e\n\u003cp data-start=\"3248\" data-end=\"3268\"\u003eTabletop placement\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch3 data-start=\"3269\" data-end=\"3284\"\u003e\u003cstrong data-start=\"3273\" data-end=\"3282\"\u003ePower\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cul data-start=\"3285\" data-end=\"3364\"\u003e\n\u003cli data-start=\"3285\" data-end=\"3334\"\u003e\n\u003cp data-start=\"3287\" data-end=\"3334\"\u003eSupports \u003cstrong data-start=\"3296\" data-end=\"3304\"\u003ePoE+\u003c\/strong\u003e for simplified installation\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"3335\" data-end=\"3364\"\u003e\n\u003cp data-start=\"3337\" data-end=\"3364\"\u003eOptional AC power adapter\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch3 data-start=\"3365\" data-end=\"3383\"\u003e\u003cstrong data-start=\"3369\" data-end=\"3381\"\u003ePhysical\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cul data-start=\"3384\" data-end=\"3448\"\u003e\n\u003cli data-start=\"3384\" data-end=\"3420\"\u003e\n\u003cp data-start=\"3386\" data-end=\"3420\"\u003eDimensions: \u003cstrong data-start=\"3398\" data-end=\"3418\"\u003e620 × 90 × 85 mm\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"3421\" data-end=\"3448\"\u003e\n\u003cp data-start=\"3423\" data-end=\"3448\"\u003eGTIN: \u003cstrong data-start=\"3429\" data-end=\"3446\"\u003e6974862540920\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e","brand":"MAXHUB","offers":[{"title":"Default Title","offer_id":51162895941796,"sku":"XBar V70 Kit","price":4750.0,"currency_code":"SGD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0605\/0136\/0804\/files\/maxhub-xbar-v70-kit-microsoft-teams-rooms-videobar-1850243.jpg?v=1761157150"},{"product_id":"maxhub-xbar-v50-kit-microsoft-teams-rooms-videobar","title":"MAXHUB XBar V50 Kit Microsoft Teams Rooms Videobar","description":"\u003ch2\u003e\n\u003cstrong\u003eMAXHUB XBar V50 Kit Microsoft Teams Rooms Videobar - 3 Years Local Warranty \u003c\/strong\u003e\n\u003c\/h2\u003e\n\u003cp data-start=\"248\" data-end=\"682\"\u003e\u003cstrong data-start=\"248\" data-end=\"291\"\u003ePurpose-Built for Microsoft Teams Rooms\u003c\/strong\u003e\u003cbr data-start=\"291\" data-end=\"294\"\u003eThe MAXHUB XBar V50 Kit is a complete Microsoft Teams Rooms solution designed to simplify hybrid collaboration. With camera, microphones, and speakers built into one streamlined device, it enables fast, consistent, and professional video meetings. Certified for Teams, it offers plug-and-play setup with native Teams Rooms controls for effortless operation across business environments.\u003c\/p\u003e\n\u003cp data-start=\"684\" data-end=\"1101\"\u003e\u003cstrong data-start=\"684\" data-end=\"719\"\u003eSharp Visuals with 4K AI Camera\u003c\/strong\u003e\u003cbr data-start=\"719\" data-end=\"722\"\u003eThe MAXHUB XBar V50 features a 4K UHD camera with a 110° wide field of view—capturing everyone in the frame clearly. Its AI auto-framing and speaker tracking intelligently adjust focus based on who’s speaking, maintaining a natural meeting flow. The camera delivers lifelike clarity, making virtual collaboration smooth and engaging in small and medium-sized conference spaces.\u003c\/p\u003e\n\u003cp data-start=\"1103\" data-end=\"1499\"\u003e\u003cstrong data-start=\"1103\" data-end=\"1137\"\u003eAI-Optimized Sound Performance\u003c\/strong\u003e\u003cbr data-start=\"1137\" data-end=\"1140\"\u003eEngineered with advanced noise reduction and echo cancellation, the XBar V50 ensures crystal-clear voice clarity. Its 6-element microphone array captures voices up to 6 meters away, while the integrated full-range speaker delivers rich, well-balanced audio. AI algorithms actively suppress background noise, ensuring smooth communication in any environment.\u003c\/p\u003e\n\u003cp data-start=\"1501\" data-end=\"1924\"\u003e\u003cstrong data-start=\"1501\" data-end=\"1546\"\u003eEfficient Design and Seamless Integration\u003c\/strong\u003e\u003cbr data-start=\"1546\" data-end=\"1549\"\u003eCompact and elegant, the MAXHUB XBar V50 blends perfectly into modern meeting spaces. It connects easily via USB-C or HDMI and integrates natively with Microsoft Teams Rooms for consistent meeting quality. The included control interface provides one-touch access to join, share, and manage calls, making it ideal for organizations upgrading to smarter collaboration setups.\u003c\/p\u003e\n\u003cp data-start=\"1501\" data-end=\"1924\"\u003e\u003ciframe width=\"560\" height=\"315\" src=\"https:\/\/www.youtube.com\/embed\/o3UULMZI8rE?si=aEcWIgvNspjRV7CD\" title=\"YouTube video player\"\u003e\u003c\/iframe\u003e\u003c\/p\u003e\n\u003cp data-start=\"1926\" data-end=\"2469\" data-is-last-node=\"\" data-is-only-node=\"\"\u003e\u003cstrong data-start=\"1926\" data-end=\"1954\"\u003eTechnical Specifications\u003c\/strong\u003e\u003cbr data-start=\"1954\" data-end=\"1957\"\u003e• Model: MAXHUB XBar V50 Kit Microsoft Teams Rooms Videobar\u003cbr data-start=\"2016\" data-end=\"2019\"\u003e• Camera: 4K Ultra HD, 110° Field of View, Auto Framing, Speaker Tracking\u003cbr data-start=\"2092\" data-end=\"2095\"\u003e• Microphone: 6-mic array, 6m pickup range\u003cbr data-start=\"2137\" data-end=\"2140\"\u003e• Speaker: Full-range integrated speaker with AI noise suppression\u003cbr data-start=\"2206\" data-end=\"2209\"\u003e• Connectivity: USB-C, HDMI, Ethernet, Bluetooth, Wi-Fi\u003cbr data-start=\"2264\" data-end=\"2267\"\u003e• Compatibility: Microsoft Teams Rooms, Zoom Rooms, UC platforms\u003cbr data-start=\"2331\" data-end=\"2334\"\u003e• Mounting Options: Wall, Table, or Display Mount\u003cbr data-start=\"2383\" data-end=\"2386\"\u003e• Power: PoE+ or AC Adapter\u003cbr data-start=\"2413\" data-end=\"2416\"\u003e• Dimensions: 580 x 90 x 85mm\u003cbr data-start=\"2445\" data-end=\"2448\"\u003e• GTIN: 6974862540937\u003c\/p\u003e","brand":"MAXHUB","offers":[{"title":"Default Title","offer_id":51162898202788,"sku":"XBar V50 Kit","price":3245.0,"currency_code":"SGD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0605\/0136\/0804\/files\/maxhub-xbar-v50-kit-microsoft-teams-rooms-videobar-3342463.jpg?v=1761157150"},{"product_id":"asus-ascent-gx10-compact-desktop-ai-supercomputer-1tb-gx10-gg0007bn","title":"ASUS Ascent GX10 Compact AI Supercomputer - 1TB","description":"\u003cdiv\u003e\n\u003cstyle\u003e\n.pd-acc { border: 1px solid #e2e2e2; border-radius: 8px; margin: 10px 0; overflow: hidden; }\n.pd-acc summary { cursor: pointer; padding: 14px 16px; font-weight: 700; font-size: 1.05em; list-style: none; display: flex; justify-content: space-between; align-items: center; background: #f7f7f7; }\n.pd-acc[open] \u003e summary { border-bottom: 1px solid #e2e2e2; }\n.pd-acc summary::-webkit-details-marker { display: none; }\n.pd-acc summary::after { content: \"+\"; font-size: 1.4em; font-weight: 400; line-height: 1; margin-left: 12px; }\n.pd-acc[open] \u003e summary::after { content: \"\\2212\"; }\n.pd-acc .pd-acc-body { padding: 8px 16px 14px; }\n.pd-spec, .pd-spec tr, .pd-spec td { border: none !important; background: transparent !important; }\n.pd-spec { width: 100%; border-collapse: collapse !important; margin: 6px 0 18px; }\n.pd-spec td { padding: 7px 10px 7px 0 !important; border-bottom: 1px solid #ececec !important; vertical-align: top; font-size: 0.95em; text-align: left; }\n.pd-spec td:first-child { width: 38%; font-weight: 600; color: #333; }\n.pd-spec tr:last-child td { border-bottom: none !important; }\n\u003c\/style\u003e\n\u003ch2\u003e\n\u003cstrong\u003eASUS Ascent GX10 Compact Desktop AI Supercomputer - 1TB (GX10-GG0007BN) \/ (90MS0371-M00070) - 1 Year Onsite Warranty \u003c\/strong\u003e\u003cspan style=\"color: rgb(255, 42, 0);\"\u003e\u003cstrong\u003e+ Limited-Time Offer: Free Upgrade to 3 Years Warranty.\u003c\/strong\u003e\u003c\/span\u003e\n\u003c\/h2\u003e\n\u003ch3\u003e\u003cstrong\u003eASUS Ascent GX10 — Petaflop AI Power in a 1.48 kg Desktop\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp\u003eBuilt on the NVIDIA GB10 Grace Blackwell Superchip, the ASUS Ascent GX10 delivers up to 1 petaFLOP of FP4 AI performance with 128 GB of unified CPU–GPU memory — enough to run large language models up to 200 billion parameters locally. It is the NVIDIA DGX Spark platform in ASUS's premium Stellar Grey chassis, at a sharper price point. Need more storage? See the \u003ca href=\"\/products\/asus-ascent-gx10-compact-desktop-ai-supercomputer-2tb-gx10-gg0030bn\"\u003e2TB\u003c\/a\u003e and \u003ca href=\"\/products\/asus-ascent-gx10-compact-desktop-ai-supercomputer-4tb-gx10-gg0007bn\"\u003e4TB\u003c\/a\u003e models.\u003c\/p\u003e\n\u003ch3\u003e\u003cstrong\u003eDevelop, Fine-Tune and Deploy AI Locally\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp\u003eRun CUDA, TensorRT, NVIDIA NIM, PyTorch, TensorFlow and Jupyter on Ubuntu Linux \/ NVIDIA DGX OS. Fine-tune models, build agentic AI, run RAG workloads and vector databases — all on-premise, keeping data private and cloud bills at zero.\u003c\/p\u003e\n\u003ch3\u003e\u003cstrong\u003eQuietFlow Cooling, Cluster-Ready Networking\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp\u003eA triple-fan, dual vapor chamber QuietFlow cooling system sustains continuous AI processing at whisper-quiet levels, while the built-in NVIDIA ConnectX-7 SmartNIC lets you link two GX10 units for models beyond 200B parameters — use the \u003ca href=\"\/products\/nvidia-qsfp112-400g-dac-cable-40cm-x0101g00400a\"\u003eNVIDIA QSFP112 DAC cable\u003c\/a\u003e.\u003c\/p\u003e\n\u003cp\u003e\u003ciframe width=\"560\" height=\"315\" src=\"https:\/\/www.youtube.com\/embed\/ASm_Cg5txOI?si=NwZBr8flFQ39APye\" title=\"YouTube video player\"\u003e\u003c\/iframe\u003e\u003c\/p\u003e\n\u003cdetails class=\"pd-acc\"\u003e\n\u003csummary style=\"cursor: pointer; font-weight: 700;\"\u003eASUS Ascent GX10 Datasheet — Technical Specifications\u003c\/summary\u003e\n\u003cdiv class=\"pd-acc-body\"\u003e\n\u003cp\u003e\u003cstrong\u003eGeneral\u003c\/strong\u003e\u003c\/p\u003e\n\u003ctable class=\"pd-spec\"\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eModel\u003c\/td\u003e\n\u003ctd\u003eASUS Ascent GX10 — 1TB\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eSKU \/ Part Number\u003c\/td\u003e\n\u003ctd\u003eGX10-GG0007BN \/ 90MS0371-M00070\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eProduct Type\u003c\/td\u003e\n\u003ctd\u003eUltra-Compact Desktop AI Supercomputer (NVIDIA DGX Spark Platform)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eOperating System\u003c\/td\u003e\n\u003ctd\u003eUbuntu Linux \/ NVIDIA DGX OS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eColor\u003c\/td\u003e\n\u003ctd\u003eStellar Grey, Premium Metal Chassis\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eWarranty\u003c\/td\u003e\n\u003ctd\u003e1 Year Onsite Warranty (Limited-Time Free Upgrade to 3 Years)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\n\u003cp\u003e\u003cstrong\u003eProcessor — NVIDIA GB10 Grace Blackwell Superchip\u003c\/strong\u003e\u003c\/p\u003e\n\u003ctable class=\"pd-spec\"\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eCPU\u003c\/td\u003e\n\u003ctd\u003e20-Core Arm v9.2-A — 10 × Cortex-X925 + 10 × Cortex-A725\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eGPU\u003c\/td\u003e\n\u003ctd\u003eNVIDIA Blackwell (Integrated), 5th-Gen Tensor Cores\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eAI Performance\u003c\/td\u003e\n\u003ctd\u003eUp to 1 PetaFLOP FP4\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eLLM Support\u003c\/td\u003e\n\u003ctd\u003eUp to 200 Billion Parameter Models (Single Unit)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\n\u003cp\u003e\u003cstrong\u003eMemory \u0026amp; Storage\u003c\/strong\u003e\u003c\/p\u003e\n\u003ctable class=\"pd-spec\"\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eMemory\u003c\/td\u003e\n\u003ctd\u003e128 GB LPDDR5X Coherent Unified Memory (Shared CPU–GPU)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eStorage\u003c\/td\u003e\n\u003ctd\u003e1 TB M.2 NVMe PCIe SSD\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\n\u003cp\u003e\u003cstrong\u003eNetworking\u003c\/strong\u003e\u003c\/p\u003e\n\u003ctable class=\"pd-spec\"\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eSmartNIC\u003c\/td\u003e\n\u003ctd\u003eNVIDIA ConnectX-7 — Dual-System Scaling \u0026amp; Cluster Networking\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eEthernet\u003c\/td\u003e\n\u003ctd\u003e1 × 10 GbE RJ-45\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eWireless\u003c\/td\u003e\n\u003ctd\u003eWi-Fi 7, Bluetooth 5.4\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\n\u003cp\u003e\u003cstrong\u003ePorts \u0026amp; Connectivity\u003c\/strong\u003e\u003c\/p\u003e\n\u003ctable class=\"pd-spec\"\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eUSB\u003c\/td\u003e\n\u003ctd\u003e4 × USB 3.2 Gen 2x2 Type-C (20 Gbps)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eDisplay\u003c\/td\u003e\n\u003ctd\u003e1 × HDMI 2.1b; DisplayPort 2.1 via USB-C Alt Mode\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eSecurity\u003c\/td\u003e\n\u003ctd\u003eKensington Lock Slot\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePower Input\u003c\/td\u003e\n\u003ctd\u003eUSB-C PD 3.1 (180W EPR), 240W External Adapter\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\n\u003cp\u003e\u003cstrong\u003eCooling \u0026amp; Physical\u003c\/strong\u003e\u003c\/p\u003e\n\u003ctable class=\"pd-spec\"\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eCooling\u003c\/td\u003e\n\u003ctd\u003eQuietFlow — Triple-Fan, Dual Vapor Chamber\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eDimensions\u003c\/td\u003e\n\u003ctd\u003e150 × 150 × 51 mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eWeight\u003c\/td\u003e\n\u003ctd\u003eApproximately 1.48 kg\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\n\u003cp\u003e\u003cstrong\u003eSoftware Support\u003c\/strong\u003e\u003c\/p\u003e\n\u003ctable class=\"pd-spec\"\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eAI Stack\u003c\/td\u003e\n\u003ctd\u003eCUDA, TensorRT, NVIDIA NIM, PyTorch, TensorFlow, Jupyter, NVIDIA AI Software Stack\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eWorkloads\u003c\/td\u003e\n\u003ctd\u003eLLM Fine-Tuning, Local Inference, Agentic AI, RAG, Deep Learning Training\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\n\u003c\/div\u003e\n\u003c\/details\u003e\n\u003cdetails class=\"pd-acc\"\u003e\n\u003csummary style=\"cursor: pointer; font-weight: 700;\"\u003ePackage Contents \u0026amp; Ordering Information\u003c\/summary\u003e\n\u003cdiv class=\"pd-acc-body\"\u003e\n\u003cp\u003e\u003cstrong\u003ePackage Contents\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eASUS Ascent GX10 AI Supercomputer (1TB)\u003cbr\u003e\n240W Power Adapter\u003cbr\u003e\nPower Cord\u003cbr\u003e\nUser Manual\u003cbr\u003e\nWarranty Card\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eOrdering Information — AI Supercomputers at SourceIT\u003c\/strong\u003e\u003c\/p\u003e\n\u003ctable class=\"pd-spec\"\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eASUS Ascent GX10 1TB\u003c\/td\u003e\n\u003ctd\u003eGX10-GG0007BN (This Product)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eASUS Ascent GX10 2TB\u003c\/td\u003e\n\u003ctd\u003e\u003ca href=\"\/products\/asus-ascent-gx10-compact-desktop-ai-supercomputer-2tb-gx10-gg0030bn\"\u003eGX10-GG0030BN — In Stock\u003c\/a\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eASUS Ascent GX10 4TB\u003c\/td\u003e\n\u003ctd\u003e\u003ca href=\"\/products\/asus-ascent-gx10-compact-desktop-ai-supercomputer-4tb-gx10-gg0007bn\"\u003eGX10-GG0031BN — In Stock\u003c\/a\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eNVIDIA DGX Spark 4TB\u003c\/td\u003e\n\u003ctd\u003e\u003ca href=\"\/products\/nvidia-dgx-spark-ai-supercomputer-4tb-940-54242-0007-000\"\u003e940-54242-0007-000 — In Stock\u003c\/a\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eNVIDIA QSFP112 400G DAC Cable (Links 2 Units)\u003c\/td\u003e\n\u003ctd\u003e\u003ca href=\"\/products\/nvidia-qsfp112-400g-dac-cable-40cm-x0101g00400a\"\u003eX0101G00400A — In Stock\u003c\/a\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\n\u003c\/div\u003e\n\u003c\/details\u003e\n\u003cdetails class=\"pd-acc\"\u003e\n\u003csummary style=\"cursor: pointer; font-weight: 700;\"\u003eDatasheet \u0026amp; Downloads\u003c\/summary\u003e\n\u003cdiv class=\"pd-acc-body\"\u003e\n\u003cp\u003e• \u003ca href=\"https:\/\/www.asus.com\/networking-iot-servers\/aiot-industrial-solutions\/embedded-computers-edge-ai-systems\/asus-ascent-gx10\/\" rel=\"noopener\" target=\"_blank\"\u003eASUS Ascent GX10 — Official Product Page \u0026amp; Specifications\u003c\/a\u003e\u003cbr\u003e\n• \u003ca href=\"https:\/\/www.nvidia.com\/en-us\/products\/workstations\/dgx-spark\/\" rel=\"noopener\" target=\"_blank\"\u003eNVIDIA DGX Spark Platform — Official Specifications\u003c\/a\u003e\u003cbr\u003e\n• \u003ca href=\"https:\/\/sourceit.com.sg\/blogs\/news\/nvidia-dgx-spark-setup-and-enterprise-deployment-guide\"\u003eDGX Spark Platform Setup \u0026amp; Enterprise Deployment Guide — SourceIT\u003c\/a\u003e\u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/details\u003e\n\u003cdetails class=\"pd-acc\"\u003e\n\u003csummary style=\"cursor: pointer; font-weight: 700;\"\u003eFrequently Asked Questions — ASUS Ascent GX10\u003c\/summary\u003e\n\u003cdiv class=\"pd-acc-body\"\u003e\n\u003cp\u003e\u003cstrong\u003eWhat is the difference between the ASUS Ascent GX10 and the NVIDIA DGX Spark?\u003c\/strong\u003e\u003cbr\u003e\nBoth run the same NVIDIA GB10 Grace Blackwell platform — 128 GB unified memory, up to 1 PFLOP FP4, ConnectX-7 networking. The GX10 comes in 1TB\/2TB\/4TB storage tiers at sharper pricing with onsite warranty; the \u003ca href=\"\/products\/nvidia-dgx-spark-ai-supercomputer-4tb-940-54242-0007-000\"\u003eDGX Spark\u003c\/a\u003e is NVIDIA's first-party 4TB unit.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eWhat AI models can the GX10 run?\u003c\/strong\u003e\u003cbr\u003e\nUp to 200-billion-parameter models on a single unit — local inference and fine-tuning of Llama, Qwen, DeepSeek, Mistral-class models. Link two GX10s via ConnectX-7 for even larger workloads.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eWhich storage size should I choose?\u003c\/strong\u003e\u003cbr\u003e\n1TB (this model) suits development and single-model work; choose \u003ca href=\"\/products\/asus-ascent-gx10-compact-desktop-ai-supercomputer-2tb-gx10-gg0030bn\"\u003e2TB\u003c\/a\u003e or \u003ca href=\"\/products\/asus-ascent-gx10-compact-desktop-ai-supercomputer-4tb-gx10-gg0007bn\"\u003e4TB\u003c\/a\u003e if you keep multiple large models, datasets or vector databases on-device.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eDo I need special power or cooling?\u003c\/strong\u003e\u003cbr\u003e\nNo — it draws from a standard socket via a 240W adapter (USB-C PD 3.1) and cools itself with the whisper-quiet QuietFlow triple-fan design.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eWhat warranty do I get in Singapore?\u003c\/strong\u003e\u003cbr\u003e\n1 year onsite warranty with a limited-time free upgrade to 3 years, plus a GST invoice from SourceIT. Volume and enterprise procurement enquiries welcome.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/details\u003e\n\u003c\/div\u003e","brand":"Asus","offers":[{"title":"Default Title","offer_id":51166918541476,"sku":"GX10-GG0007BN \/ 90MS0371-M00070","price":7255.0,"currency_code":"SGD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0605\/0136\/0804\/files\/asus-ascent-gx10-compact-desktop-ai-supercomputer-1tb-gx10-gg0007bn-7973426.png?v=1761560946"},{"product_id":"nvidia-dgx-spark-ai-supercomputer-4tb-940-54242-0007-000","title":"NVIDIA DGX Spark AI Supercomputer - 4TB","description":"\u003cdiv\u003e\n\u003cstyle\u003e\n.pd-acc { border: 1px solid #e2e2e2; border-radius: 8px; margin: 10px 0; overflow: hidden; }\n.pd-acc summary { cursor: pointer; padding: 14px 16px; font-weight: 700; font-size: 1.05em; list-style: none; display: flex; justify-content: space-between; align-items: center; background: #f7f7f7; }\n.pd-acc[open] \u003e summary { border-bottom: 1px solid #e2e2e2; }\n.pd-acc summary::-webkit-details-marker { display: none; }\n.pd-acc summary::after { content: \"+\"; font-size: 1.4em; font-weight: 400; line-height: 1; margin-left: 12px; }\n.pd-acc[open] \u003e summary::after { content: \"\\2212\"; }\n.pd-acc .pd-acc-body { padding: 8px 16px 14px; }\n.pd-spec, .pd-spec tr, .pd-spec td { border: none !important; background: transparent !important; }\n.pd-spec { width: 100%; border-collapse: collapse !important; margin: 6px 0 18px; }\n.pd-spec td { padding: 7px 10px 7px 0 !important; border-bottom: 1px solid #ececec !important; vertical-align: top; font-size: 0.95em; text-align: left; }\n.pd-spec td:first-child { width: 38%; font-weight: 600; color: #333; }\n.pd-spec tr:last-child td { border-bottom: none !important; }\n\u003c\/style\u003e\n\u003ch2\u003e\u003cstrong\u003eNVIDIA DGX Spark AI Supercomputer 4TB (940-54242-0007-000) - 1 Year Local Warranty\u003c\/strong\u003e\u003c\/h2\u003e\n\u003ch3\u003e\u003cstrong\u003eNVIDIA DGX Spark — A Petaflop of AI Performance on Your Desk\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp\u003eThe NVIDIA DGX Spark puts up to 1 petaFLOP of FP4 AI compute in a 1.2 kg desktop box. Powered by the NVIDIA GB10 Grace Blackwell Superchip with 128 GB of coherent unified memory, it runs inference on models up to 200 billion parameters and fine-tunes models up to 70 billion parameters — locally, on your desk, with no cloud dependency.\u003c\/p\u003e\n\u003ch3\u003e\u003cstrong\u003eEnterprise AI Without the Cloud — Privacy, Compliance, Control\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp\u003eDGX Spark brings the NVIDIA DGX platform to enterprises, research labs and advanced developers who need on-premise AI for data privacy, compliance and IP protection — finance, healthcare, research, defense and government. The full NVIDIA AI software stack comes preloaded on DGX OS: CUDA, TensorRT, PyTorch and TensorFlow containers, NVIDIA NIM and NGC-certified containers.\u003c\/p\u003e\n\u003ch3\u003e\u003cstrong\u003eScale to 405B Parameters with Two Linked Sparks\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp\u003eThe built-in NVIDIA ConnectX-7 SmartNIC (200 Gbps, RDMA-capable) lets you link two DGX Spark units into a single system that handles models up to 405 billion parameters — pair yours with a second unit and the \u003ca href=\"\/products\/nvidia-qsfp112-400g-dac-cable-40cm-x0101g00400a\"\u003eNVIDIA QSFP112 DAC cable (X0101G00400A)\u003c\/a\u003e.\u003c\/p\u003e\n\u003ch3\u003e\u003cstrong\u003eDeployment-Ready in Singapore\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp\u003eIn stock at SourceIT with GST invoice, 1 year local warranty, and our \u003ca href=\"https:\/\/sourceit.com.sg\/blogs\/news\/nvidia-dgx-spark-setup-and-enterprise-deployment-guide\"\u003eNVIDIA DGX Spark Setup and Enterprise Deployment Guide\u003c\/a\u003e to get you running from day one.\u003c\/p\u003e\n\u003cdetails class=\"pd-acc\"\u003e\n\u003csummary style=\"cursor: pointer; font-weight: 700;\"\u003eNVIDIA DGX Spark Datasheet — Technical Specifications\u003c\/summary\u003e\n\u003cdiv class=\"pd-acc-body\"\u003e\n\u003cp\u003e\u003cstrong\u003eGeneral\u003c\/strong\u003e\u003c\/p\u003e\n\u003ctable class=\"pd-spec\"\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eModel\u003c\/td\u003e\n\u003ctd\u003eNVIDIA DGX Spark AI Supercomputer — 4TB\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePart Number\u003c\/td\u003e\n\u003ctd\u003e940-54242-0007-000\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eGTIN\u003c\/td\u003e\n\u003ctd\u003e812674029197\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCategory\u003c\/td\u003e\n\u003ctd\u003eCompact Desktop AI Supercomputer\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eWarranty\u003c\/td\u003e\n\u003ctd\u003e1 Year Local Warranty (Singapore)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\n\u003cp\u003e\u003cstrong\u003eProcessor — NVIDIA GB10 Grace Blackwell Superchip\u003c\/strong\u003e\u003c\/p\u003e\n\u003ctable class=\"pd-spec\"\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eArchitecture\u003c\/td\u003e\n\u003ctd\u003eCPU + GPU Unified (Grace Blackwell), NVLink-C2C Interconnect\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCPU\u003c\/td\u003e\n\u003ctd\u003e20-Core Arm — 10 × Cortex-X925 Performance + 10 × Cortex-A725 Efficiency\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eGPU\u003c\/td\u003e\n\u003ctd\u003eNVIDIA Blackwell Architecture\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eTensor Cores\u003c\/td\u003e\n\u003ctd\u003e5th Generation (FP4 \/ FP8 Optimised)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eRT Cores\u003c\/td\u003e\n\u003ctd\u003e4th Generation\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eGB10 TDP\u003c\/td\u003e\n\u003ctd\u003e140 W\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\n\u003cp\u003e\u003cstrong\u003eAI Performance\u003c\/strong\u003e\u003c\/p\u003e\n\u003ctable class=\"pd-spec\"\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003ePeak AI Compute\u003c\/td\u003e\n\u003ctd\u003eUp to 1 PFLOP (1,000 TOPS) FP4 with Sparsity\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eInference\u003c\/td\u003e\n\u003ctd\u003eModels Up to 200 Billion Parameters (Single Unit)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eFine-Tuning\u003c\/td\u003e\n\u003ctd\u003eModels Up to 70 Billion Parameters\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eClustered (2 Units)\u003c\/td\u003e\n\u003ctd\u003eModels Up to 405 Billion Parameters via ConnectX-7\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\n\u003cp\u003e\u003cstrong\u003eMemory \u0026amp; Storage\u003c\/strong\u003e\u003c\/p\u003e\n\u003ctable class=\"pd-spec\"\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eSystem Memory\u003c\/td\u003e\n\u003ctd\u003e128 GB LPDDR5x Coherent Unified Memory (Shared CPU–GPU)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMemory Interface\u003c\/td\u003e\n\u003ctd\u003e256-bit, 273 GB\/s Bandwidth\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eStorage\u003c\/td\u003e\n\u003ctd\u003e4 TB NVMe M.2 Self-Encrypting SSD\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\n\u003cp\u003e\u003cstrong\u003eNetworking \u0026amp; I\/O\u003c\/strong\u003e\u003c\/p\u003e\n\u003ctable class=\"pd-spec\"\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eSmartNIC\u003c\/td\u003e\n\u003ctd\u003eNVIDIA ConnectX-7 — Up to 200 Gbps, RDMA Capable, Multi-Node Clustering\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eEthernet\u003c\/td\u003e\n\u003ctd\u003e1 × 10 GbE RJ-45\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eWireless\u003c\/td\u003e\n\u003ctd\u003eWi-Fi 7, Bluetooth 5.4\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eUSB\u003c\/td\u003e\n\u003ctd\u003e4 × USB Type-C\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eDisplay\u003c\/td\u003e\n\u003ctd\u003e1 × HDMI 2.1a; Up to 3 × DisplayPort via USB-C Alt Mode\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eVideo Engines\u003c\/td\u003e\n\u003ctd\u003e1 × NVENC, 1 × NVDEC\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\n\u003cp\u003e\u003cstrong\u003eSoftware\u003c\/strong\u003e\u003c\/p\u003e\n\u003ctable class=\"pd-spec\"\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eOperating System\u003c\/td\u003e\n\u003ctd\u003eNVIDIA DGX OS (Ubuntu LTS-Based) with Preloaded AI Stack\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eAI Stack\u003c\/td\u003e\n\u003ctd\u003eNVIDIA AI Enterprise, CUDA Toolkit, TensorRT, NVIDIA NIM, PyTorch \u0026amp; TensorFlow Containers, NGC-Certified Containers\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eSecurity\u003c\/td\u003e\n\u003ctd\u003eSecure Boot (UEFI), TPM-Based Security, Self-Encrypting SSD\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\n\u003cp\u003e\u003cstrong\u003ePower \u0026amp; Physical\u003c\/strong\u003e\u003c\/p\u003e\n\u003ctable class=\"pd-spec\"\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003ePower Supply\u003c\/td\u003e\n\u003ctd\u003e240 W External Adapter\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eDimensions\u003c\/td\u003e\n\u003ctd\u003e150 mm × 150 mm × 50.5 mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eWeight\u003c\/td\u003e\n\u003ctd\u003eApproximately 1.2 kg\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePower Cord\u003c\/td\u003e\n\u003ctd\u003eUS Type-B Cord Included (Factory Sealed); UK Power Cord Provided Separately by SourceIT\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\n\u003c\/div\u003e\n\u003c\/details\u003e\n\u003cdetails class=\"pd-acc\"\u003e\n\u003csummary style=\"cursor: pointer; font-weight: 700;\"\u003eWorkloads \u0026amp; Use Cases\u003c\/summary\u003e\n\u003cdiv class=\"pd-acc-body\"\u003e\n\u003cp\u003e\u003cstrong\u003ePrimary:\u003c\/strong\u003e LLM training, fine-tuning and large-scale inference — faster experimentation, shorter training cycles and real-time deployment for business-critical workloads.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eAlso ideal for:\u003c\/strong\u003e generative AI (image, video, multimodal), RAG systems and vector databases, agentic AI development, data science and embeddings, computer vision, scientific computing\/HPC research, and edge AI with low-latency local inference.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eRegulated industries:\u003c\/strong\u003e keeps sensitive data on-premise for finance, healthcare, research, defense and government deployments where public cloud is not an option.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/details\u003e\n\u003cdetails class=\"pd-acc\"\u003e\n\u003csummary style=\"cursor: pointer; font-weight: 700;\"\u003eOrdering Information — AI Supercomputers at SourceIT\u003c\/summary\u003e\n\u003cdiv class=\"pd-acc-body\"\u003e\n\u003ctable class=\"pd-spec\"\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eNVIDIA DGX Spark 4TB\u003c\/td\u003e\n\u003ctd\u003e940-54242-0007-000 (This Product)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eASUS Ascent GX10 1TB (GB10 Platform)\u003c\/td\u003e\n\u003ctd\u003e\u003ca href=\"\/products\/asus-ascent-gx10-compact-desktop-ai-supercomputer-1tb-gx10-gg0007bn\"\u003eGX10-GG0007BN — In Stock\u003c\/a\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eASUS Ascent GX10 2TB (GB10 Platform)\u003c\/td\u003e\n\u003ctd\u003e\u003ca href=\"\/products\/asus-ascent-gx10-compact-desktop-ai-supercomputer-2tb-gx10-gg0030bn\"\u003eGX10-GG0030BN — In Stock\u003c\/a\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eASUS Ascent GX10 4TB (GB10 Platform)\u003c\/td\u003e\n\u003ctd\u003e\u003ca href=\"\/products\/asus-ascent-gx10-compact-desktop-ai-supercomputer-4tb-gx10-gg0007bn\"\u003eGX10-GG0031BN — In Stock\u003c\/a\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eNVIDIA QSFP112 400G DAC Cable (Links 2 Units)\u003c\/td\u003e\n\u003ctd\u003e\u003ca href=\"\/products\/nvidia-qsfp112-400g-dac-cable-40cm-x0101g00400a\"\u003eX0101G00400A — In Stock\u003c\/a\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMSI XpertStation WS300 (DGX Station GB300, 748GB)\u003c\/td\u003e\n\u003ctd\u003e\u003ca href=\"\/products\/msi-xpertstation-ws300-nvidia-dgx-station-ai-supercomputer\"\u003eIn Stock — Enquire\u003c\/a\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eHP ZGX Fury G1n GB300 AI Workstation\u003c\/td\u003e\n\u003ctd\u003e\u003ca href=\"\/products\/hp-zgx-fury-g1n-gb300-ai-workstation-with-nvidia-blackwell-ultra\"\u003eEnquire\u003c\/a\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\n\u003c\/div\u003e\n\u003c\/details\u003e\n\u003cdetails class=\"pd-acc\"\u003e\n\u003csummary style=\"cursor: pointer; font-weight: 700;\"\u003eDatasheet, Downloads \u0026amp; Setup Guide\u003c\/summary\u003e\n\u003cdiv class=\"pd-acc-body\"\u003e\n\u003cp\u003e• \u003ca href=\"https:\/\/www.nvidia.com\/en-us\/products\/workstations\/dgx-spark\/\" rel=\"noopener\" target=\"_blank\"\u003eNVIDIA DGX Spark — Official Product Page \u0026amp; Specifications\u003c\/a\u003e\u003cbr\u003e\n• \u003ca href=\"https:\/\/sourceit.com.sg\/blogs\/news\/nvidia-dgx-spark-setup-and-enterprise-deployment-guide\"\u003eNVIDIA DGX Spark Setup and Enterprise Deployment Guide — SourceIT\u003c\/a\u003e\u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/details\u003e\n\u003cdetails class=\"pd-acc\"\u003e\n\u003csummary style=\"cursor: pointer; font-weight: 700;\"\u003eFrequently Asked Questions — NVIDIA DGX Spark\u003c\/summary\u003e\n\u003cdiv class=\"pd-acc-body\"\u003e\n\u003cp\u003e\u003cstrong\u003eWhat AI models can the DGX Spark run?\u003c\/strong\u003e\u003cbr\u003e\nA single DGX Spark handles inference on models up to 200 billion parameters and fine-tuning up to 70 billion parameters — think Llama, Qwen, DeepSeek, Mistral and Flux-class models locally. Two linked units scale to 405 billion parameters.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eHow do I connect two DGX Spark units?\u003c\/strong\u003e\u003cbr\u003e\nVia the built-in ConnectX-7 SmartNIC using the \u003ca href=\"\/products\/nvidia-qsfp112-400g-dac-cable-40cm-x0101g00400a\"\u003eNVIDIA QSFP112 400G DAC cable\u003c\/a\u003e — a direct connection that turns two Sparks into one system for larger models and distributed training.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eWhat is the difference between the NVIDIA DGX Spark and the ASUS Ascent GX10?\u003c\/strong\u003e\u003cbr\u003e\nBoth are built on the same NVIDIA GB10 Grace Blackwell platform with 128 GB unified memory and up to 1 PFLOP FP4. The DGX Spark is NVIDIA's first-party unit with 4 TB storage; the \u003ca href=\"\/products\/asus-ascent-gx10-compact-desktop-ai-supercomputer-1tb-gx10-gg0007bn\"\u003eASUS GX10\u003c\/a\u003e offers 1 TB, 2 TB and 4 TB tiers at different price points with onsite warranty.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eDo I need special power or cooling?\u003c\/strong\u003e\u003cbr\u003e\nNo. The DGX Spark draws just 240 W from a standard wall socket with an external adapter and enterprise-grade active cooling — it runs on a desk, not a data centre. Note: the factory-sealed box includes a US power cord; SourceIT provides a UK\/Singapore cord separately.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eWhat software comes preinstalled?\u003c\/strong\u003e\u003cbr\u003e\nNVIDIA DGX OS with the full NVIDIA AI stack: CUDA, TensorRT, NVIDIA NIM, PyTorch\/TensorFlow containers and NGC-certified containers — ready for development on day one. See our \u003ca href=\"https:\/\/sourceit.com.sg\/blogs\/news\/nvidia-dgx-spark-setup-and-enterprise-deployment-guide\"\u003esetup and deployment guide\u003c\/a\u003e.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eIs the DGX Spark covered by local warranty in Singapore?\u003c\/strong\u003e\u003cbr\u003e\nYes. Every DGX Spark sold by SourceIT comes with 1 year local warranty and a GST invoice. Volume and enterprise procurement enquiries are welcome.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/details\u003e\n\u003cp\u003e\u003ciframe title=\"YouTube video player\" src=\"https:\/\/www.youtube.com\/embed\/Sd2Ie68OD_o?si=s0psw3fnKrfzFmAM\" height=\"315\" width=\"560\"\u003e\u003c\/iframe\u003e\u003c\/p\u003e\n\u003c\/div\u003e","brand":"Nvidia","offers":[{"title":"Default Title","offer_id":51167295733924,"sku":"940-54242-0007-000","price":8800.0,"currency_code":"SGD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0605\/0136\/0804\/files\/nvidia-dgx-spark-ai-supercomputer-4tb-4080342.jpg?v=1782950834"},{"product_id":"asus-ascent-gx10-compact-desktop-ai-supercomputer-2tb-gx10-gg0030bn","title":"ASUS Ascent GX10 Compact AI Supercomputer - 2TB","description":"\u003cdiv\u003e\n\u003cstyle\u003e\n.pd-acc { border: 1px solid #e2e2e2; border-radius: 8px; margin: 10px 0; overflow: hidden; }\n.pd-acc summary { cursor: pointer; padding: 14px 16px; font-weight: 700; font-size: 1.05em; list-style: none; display: flex; justify-content: space-between; align-items: center; background: #f7f7f7; }\n.pd-acc[open] \u003e summary { border-bottom: 1px solid #e2e2e2; }\n.pd-acc summary::-webkit-details-marker { display: none; }\n.pd-acc summary::after { content: \"+\"; font-size: 1.4em; font-weight: 400; line-height: 1; margin-left: 12px; }\n.pd-acc[open] \u003e summary::after { content: \"\\2212\"; }\n.pd-acc .pd-acc-body { padding: 8px 16px 14px; }\n.pd-spec, .pd-spec tr, .pd-spec td { border: none !important; background: transparent !important; }\n.pd-spec { width: 100%; border-collapse: collapse !important; margin: 6px 0 18px; }\n.pd-spec td { padding: 7px 10px 7px 0 !important; border-bottom: 1px solid #ececec !important; vertical-align: top; font-size: 0.95em; text-align: left; }\n.pd-spec td:first-child { width: 38%; font-weight: 600; color: #333; }\n.pd-spec tr:last-child td { border-bottom: none !important; }\n\u003c\/style\u003e\n\u003ch2\u003e\n\u003cstrong\u003eASUS Ascent GX10 Compact Desktop AI Supercomputer - 2TB (GX10-GG0030BN) \/ (90MS0371-M000Y0) - 1 Year Onsite Warranty \u003c\/strong\u003e\u003cspan style=\"color: rgb(255, 42, 0);\"\u003e\u003cstrong\u003e+ Limited-Time Offer: Free Upgrade to 3 Years Warranty.\u003c\/strong\u003e\u003c\/span\u003e\n\u003c\/h2\u003e\n\u003ch3\u003e\u003cstrong\u003eASUS Ascent GX10 — Petaflop AI Power in a 1.48 kg Desktop\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp\u003eBuilt on the NVIDIA GB10 Grace Blackwell Superchip, the ASUS Ascent GX10 delivers up to 1 petaFLOP of FP4 AI performance with 128 GB of unified CPU–GPU memory — enough to run large language models up to 200 billion parameters locally. This 2TB model doubles the storage of the entry unit for multiple models and larger datasets. Also available in \u003ca href=\"\/products\/asus-ascent-gx10-compact-desktop-ai-supercomputer-1tb-gx10-gg0007bn\"\u003e1TB\u003c\/a\u003e and \u003ca href=\"\/products\/asus-ascent-gx10-compact-desktop-ai-supercomputer-4tb-gx10-gg0007bn\"\u003e4TB\u003c\/a\u003e.\u003c\/p\u003e\n\u003ch3\u003e\u003cstrong\u003eDevelop, Fine-Tune and Deploy AI Locally\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp\u003eRun CUDA, TensorRT, NVIDIA NIM, PyTorch, TensorFlow and Jupyter on Ubuntu Linux \/ NVIDIA DGX OS. Fine-tune models, build agentic AI, run RAG workloads and vector databases — all on-premise, keeping data private and cloud bills at zero.\u003c\/p\u003e\n\u003ch3\u003e\u003cstrong\u003eQuietFlow Cooling, Cluster-Ready Networking\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp\u003eA triple-fan, dual vapor chamber QuietFlow cooling system sustains continuous AI processing at whisper-quiet levels, while the built-in NVIDIA ConnectX-7 SmartNIC lets you link two GX10 units for models beyond 200B parameters — use the \u003ca href=\"\/products\/nvidia-qsfp112-400g-dac-cable-40cm-x0101g00400a\"\u003eNVIDIA QSFP112 DAC cable\u003c\/a\u003e.\u003c\/p\u003e\n\u003cp\u003e\u003ciframe width=\"560\" height=\"315\" src=\"https:\/\/www.youtube.com\/embed\/ASm_Cg5txOI?si=NwZBr8flFQ39APye\" title=\"YouTube video player\"\u003e\u003c\/iframe\u003e\u003c\/p\u003e\n\u003cdetails class=\"pd-acc\"\u003e\n\u003csummary style=\"cursor: pointer; font-weight: 700;\"\u003eASUS Ascent GX10 Datasheet — Technical Specifications\u003c\/summary\u003e\n\u003cdiv class=\"pd-acc-body\"\u003e\n\u003cp\u003e\u003cstrong\u003eGeneral\u003c\/strong\u003e\u003c\/p\u003e\n\u003ctable class=\"pd-spec\"\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eModel\u003c\/td\u003e\n\u003ctd\u003eASUS Ascent GX10 — 2TB\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eSKU \/ Part Number\u003c\/td\u003e\n\u003ctd\u003eGX10-GG0030BN \/ 90MS0371-M000Y0\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eProduct Type\u003c\/td\u003e\n\u003ctd\u003eUltra-Compact Desktop AI Supercomputer (NVIDIA DGX Spark Platform)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eOperating System\u003c\/td\u003e\n\u003ctd\u003eUbuntu Linux \/ NVIDIA DGX OS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eColor\u003c\/td\u003e\n\u003ctd\u003eStellar Grey, Premium Metal Chassis\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eWarranty\u003c\/td\u003e\n\u003ctd\u003e1 Year Onsite Warranty (Limited-Time Free Upgrade to 3 Years)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\n\u003cp\u003e\u003cstrong\u003eProcessor — NVIDIA GB10 Grace Blackwell Superchip\u003c\/strong\u003e\u003c\/p\u003e\n\u003ctable class=\"pd-spec\"\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eCPU\u003c\/td\u003e\n\u003ctd\u003e20-Core Arm v9.2-A — 10 × Cortex-X925 + 10 × Cortex-A725\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eGPU\u003c\/td\u003e\n\u003ctd\u003eNVIDIA Blackwell (Integrated), 5th-Gen Tensor Cores\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eAI Performance\u003c\/td\u003e\n\u003ctd\u003eUp to 1 PetaFLOP FP4\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eLLM Support\u003c\/td\u003e\n\u003ctd\u003eUp to 200 Billion Parameter Models (Single Unit)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\n\u003cp\u003e\u003cstrong\u003eMemory \u0026amp; Storage\u003c\/strong\u003e\u003c\/p\u003e\n\u003ctable class=\"pd-spec\"\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eMemory\u003c\/td\u003e\n\u003ctd\u003e128 GB LPDDR5X Coherent Unified Memory (Shared CPU–GPU)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eStorage\u003c\/td\u003e\n\u003ctd\u003e2 TB M.2 NVMe PCIe SSD\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\n\u003cp\u003e\u003cstrong\u003eNetworking\u003c\/strong\u003e\u003c\/p\u003e\n\u003ctable class=\"pd-spec\"\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eSmartNIC\u003c\/td\u003e\n\u003ctd\u003eNVIDIA ConnectX-7 — Dual-System Scaling \u0026amp; Cluster Networking\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eEthernet\u003c\/td\u003e\n\u003ctd\u003e1 × 10 GbE RJ-45\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eWireless\u003c\/td\u003e\n\u003ctd\u003eWi-Fi 7, Bluetooth 5.4\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\n\u003cp\u003e\u003cstrong\u003ePorts \u0026amp; Connectivity\u003c\/strong\u003e\u003c\/p\u003e\n\u003ctable class=\"pd-spec\"\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eUSB\u003c\/td\u003e\n\u003ctd\u003e4 × USB 3.2 Gen 2x2 Type-C (20 Gbps)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eDisplay\u003c\/td\u003e\n\u003ctd\u003e1 × HDMI 2.1b; DisplayPort 2.1 via USB-C Alt Mode\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eSecurity\u003c\/td\u003e\n\u003ctd\u003eKensington Lock Slot\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePower Input\u003c\/td\u003e\n\u003ctd\u003eUSB-C PD 3.1 (180W EPR), 240W External Adapter\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\n\u003cp\u003e\u003cstrong\u003eCooling \u0026amp; Physical\u003c\/strong\u003e\u003c\/p\u003e\n\u003ctable class=\"pd-spec\"\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eCooling\u003c\/td\u003e\n\u003ctd\u003eQuietFlow — Triple-Fan, Dual Vapor Chamber\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eDimensions\u003c\/td\u003e\n\u003ctd\u003e150 × 150 × 51 mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eWeight\u003c\/td\u003e\n\u003ctd\u003eApproximately 1.48 kg\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\n\u003cp\u003e\u003cstrong\u003eSoftware Support\u003c\/strong\u003e\u003c\/p\u003e\n\u003ctable class=\"pd-spec\"\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eAI Stack\u003c\/td\u003e\n\u003ctd\u003eCUDA, TensorRT, NVIDIA NIM, PyTorch, TensorFlow, Jupyter, NVIDIA AI Software Stack\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eWorkloads\u003c\/td\u003e\n\u003ctd\u003eLLM Fine-Tuning, Local Inference, Agentic AI, RAG, Deep Learning Training\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\n\u003c\/div\u003e\n\u003c\/details\u003e\n\u003cdetails class=\"pd-acc\"\u003e\n\u003csummary style=\"cursor: pointer; font-weight: 700;\"\u003ePackage Contents \u0026amp; Ordering Information\u003c\/summary\u003e\n\u003cdiv class=\"pd-acc-body\"\u003e\n\u003cp\u003e\u003cstrong\u003ePackage Contents\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eASUS Ascent GX10 AI Supercomputer (2TB)\u003cbr\u003e\n240W Power Adapter\u003cbr\u003e\nPower Cord\u003cbr\u003e\nUser Manual\u003cbr\u003e\nWarranty Card\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eOrdering Information — AI Supercomputers at SourceIT\u003c\/strong\u003e\u003c\/p\u003e\n\u003ctable class=\"pd-spec\"\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eASUS Ascent GX10 2TB\u003c\/td\u003e\n\u003ctd\u003eGX10-GG0030BN (This Product)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eASUS Ascent GX10 1TB\u003c\/td\u003e\n\u003ctd\u003e\u003ca href=\"\/products\/asus-ascent-gx10-compact-desktop-ai-supercomputer-1tb-gx10-gg0007bn\"\u003eGX10-GG0007BN — In Stock\u003c\/a\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eASUS Ascent GX10 4TB\u003c\/td\u003e\n\u003ctd\u003e\u003ca href=\"\/products\/asus-ascent-gx10-compact-desktop-ai-supercomputer-4tb-gx10-gg0007bn\"\u003eGX10-GG0031BN — In Stock\u003c\/a\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eNVIDIA DGX Spark 4TB\u003c\/td\u003e\n\u003ctd\u003e\u003ca href=\"\/products\/nvidia-dgx-spark-ai-supercomputer-4tb-940-54242-0007-000\"\u003e940-54242-0007-000 — In Stock\u003c\/a\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eNVIDIA QSFP112 400G DAC Cable (Links 2 Units)\u003c\/td\u003e\n\u003ctd\u003e\u003ca href=\"\/products\/nvidia-qsfp112-400g-dac-cable-40cm-x0101g00400a\"\u003eX0101G00400A — In Stock\u003c\/a\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\n\u003c\/div\u003e\n\u003c\/details\u003e\n\u003cdetails class=\"pd-acc\"\u003e\n\u003csummary style=\"cursor: pointer; font-weight: 700;\"\u003eDatasheet \u0026amp; Downloads\u003c\/summary\u003e\n\u003cdiv class=\"pd-acc-body\"\u003e\n\u003cp\u003e• \u003ca href=\"https:\/\/www.asus.com\/networking-iot-servers\/aiot-industrial-solutions\/embedded-computers-edge-ai-systems\/asus-ascent-gx10\/\" rel=\"noopener\" target=\"_blank\"\u003eASUS Ascent GX10 — Official Product Page \u0026amp; Specifications\u003c\/a\u003e\u003cbr\u003e\n• \u003ca href=\"https:\/\/www.nvidia.com\/en-us\/products\/workstations\/dgx-spark\/\" rel=\"noopener\" target=\"_blank\"\u003eNVIDIA DGX Spark Platform — Official Specifications\u003c\/a\u003e\u003cbr\u003e\n• \u003ca href=\"https:\/\/sourceit.com.sg\/blogs\/news\/nvidia-dgx-spark-setup-and-enterprise-deployment-guide\"\u003eDGX Spark Platform Setup \u0026amp; Enterprise Deployment Guide — SourceIT\u003c\/a\u003e\u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/details\u003e\n\u003cdetails class=\"pd-acc\"\u003e\n\u003csummary style=\"cursor: pointer; font-weight: 700;\"\u003eFrequently Asked Questions — ASUS Ascent GX10\u003c\/summary\u003e\n\u003cdiv class=\"pd-acc-body\"\u003e\n\u003cp\u003e\u003cstrong\u003eWhat is the difference between the ASUS Ascent GX10 and the NVIDIA DGX Spark?\u003c\/strong\u003e\u003cbr\u003e\nBoth run the same NVIDIA GB10 Grace Blackwell platform — 128 GB unified memory, up to 1 PFLOP FP4, ConnectX-7 networking. The GX10 comes in 1TB\/2TB\/4TB storage tiers at sharper pricing with onsite warranty; the \u003ca href=\"\/products\/nvidia-dgx-spark-ai-supercomputer-4tb-940-54242-0007-000\"\u003eDGX Spark\u003c\/a\u003e is NVIDIA's first-party 4TB unit.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eWhat AI models can the GX10 run?\u003c\/strong\u003e\u003cbr\u003e\nUp to 200-billion-parameter models on a single unit — local inference and fine-tuning of Llama, Qwen, DeepSeek, Mistral-class models. Link two GX10s via ConnectX-7 for even larger workloads.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eWhich storage size should I choose?\u003c\/strong\u003e\u003cbr\u003e\n2TB (this model) is the sweet spot for teams working with several large models or datasets; choose \u003ca href=\"\/products\/asus-ascent-gx10-compact-desktop-ai-supercomputer-4tb-gx10-gg0007bn\"\u003e4TB\u003c\/a\u003e for heavy multi-model and RAG\/vector-database workloads.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eDo I need special power or cooling?\u003c\/strong\u003e\u003cbr\u003e\nNo — it draws from a standard socket via a 240W adapter (USB-C PD 3.1) and cools itself with the whisper-quiet QuietFlow triple-fan design.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eWhat warranty do I get in Singapore?\u003c\/strong\u003e\u003cbr\u003e\n1 year onsite warranty with a limited-time free upgrade to 3 years, plus a GST invoice from SourceIT. Volume and enterprise procurement enquiries welcome.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/details\u003e\n\u003c\/div\u003e","brand":"Asus","offers":[{"title":"Default Title","offer_id":51167328895140,"sku":"GX10-GG0030BN \/ 90MS0371-M000Y0","price":8450.0,"currency_code":"SGD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0605\/0136\/0804\/files\/asus-ascent-gx10-compact-desktop-ai-supercomputer-1tb-gx10-gg0007bn-7973426.png?v=1761560946"},{"product_id":"asus-ascent-gx10-compact-desktop-ai-supercomputer-4tb-gx10-gg0007bn","title":"ASUS Ascent GX10 Compact AI Supercomputer - 4TB","description":"\u003cdiv\u003e\n\u003cstyle\u003e\n.pd-acc { border: 1px solid #e2e2e2; border-radius: 8px; margin: 10px 0; overflow: hidden; }\n.pd-acc summary { cursor: pointer; padding: 14px 16px; font-weight: 700; font-size: 1.05em; list-style: none; display: flex; justify-content: space-between; align-items: center; background: #f7f7f7; }\n.pd-acc[open] \u003e summary { border-bottom: 1px solid #e2e2e2; }\n.pd-acc summary::-webkit-details-marker { display: none; }\n.pd-acc summary::after { content: \"+\"; font-size: 1.4em; font-weight: 400; line-height: 1; margin-left: 12px; }\n.pd-acc[open] \u003e summary::after { content: \"\\2212\"; }\n.pd-acc .pd-acc-body { padding: 8px 16px 14px; }\n.pd-spec, .pd-spec tr, .pd-spec td { border: none !important; background: transparent !important; }\n.pd-spec { width: 100%; border-collapse: collapse !important; margin: 6px 0 18px; }\n.pd-spec td { padding: 7px 10px 7px 0 !important; border-bottom: 1px solid #ececec !important; vertical-align: top; font-size: 0.95em; text-align: left; }\n.pd-spec td:first-child { width: 38%; font-weight: 600; color: #333; }\n.pd-spec tr:last-child td { border-bottom: none !important; }\n\u003c\/style\u003e\n\u003ch2\u003e\n\u003cstrong\u003eASUS Ascent GX10 Compact Desktop AI Supercomputer - 4TB (GX10-GG0031BN) \/ (90MS0371-M000Z0) - 1 Year Onsite Warranty \u003c\/strong\u003e\u003cspan style=\"color: rgb(255, 42, 0);\"\u003e\u003cstrong\u003e+ Limited-Time Offer: Free Upgrade to 3 Years Warranty.\u003c\/strong\u003e\u003c\/span\u003e\n\u003c\/h2\u003e\n\u003ch3\u003e\u003cstrong\u003eASUS Ascent GX10 — Petaflop AI Power in a 1.48 kg Desktop\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp\u003eBuilt on the NVIDIA GB10 Grace Blackwell Superchip, the ASUS Ascent GX10 delivers up to 1 petaFLOP of FP4 AI performance with 128 GB of unified CPU–GPU memory — enough to run large language models up to 200 billion parameters locally. This flagship 4TB model carries the most storage in the range for multi-model, dataset-heavy workflows. Also available in \u003ca href=\"\/products\/asus-ascent-gx10-compact-desktop-ai-supercomputer-1tb-gx10-gg0007bn\"\u003e1TB\u003c\/a\u003e and \u003ca href=\"\/products\/asus-ascent-gx10-compact-desktop-ai-supercomputer-2tb-gx10-gg0030bn\"\u003e2TB\u003c\/a\u003e.\u003c\/p\u003e\n\u003ch3\u003e\u003cstrong\u003eDevelop, Fine-Tune and Deploy AI Locally\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp\u003eRun CUDA, TensorRT, NVIDIA NIM, PyTorch, TensorFlow and Jupyter on Ubuntu Linux \/ NVIDIA DGX OS. Fine-tune models, build agentic AI, run RAG workloads and vector databases — all on-premise, keeping data private and cloud bills at zero.\u003c\/p\u003e\n\u003ch3\u003e\u003cstrong\u003eQuietFlow Cooling, Cluster-Ready Networking\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp\u003eA triple-fan, dual vapor chamber QuietFlow cooling system sustains continuous AI processing at whisper-quiet levels, while the built-in NVIDIA ConnectX-7 SmartNIC lets you link two GX10 units for models beyond 200B parameters — use the \u003ca href=\"\/products\/nvidia-qsfp112-400g-dac-cable-40cm-x0101g00400a\"\u003eNVIDIA QSFP112 DAC cable\u003c\/a\u003e.\u003c\/p\u003e\n\u003cp\u003e\u003ciframe width=\"560\" height=\"315\" src=\"https:\/\/www.youtube.com\/embed\/ASm_Cg5txOI?si=NwZBr8flFQ39APye\" title=\"YouTube video player\"\u003e\u003c\/iframe\u003e\u003c\/p\u003e\n\u003cdetails class=\"pd-acc\"\u003e\n\u003csummary style=\"cursor: pointer; font-weight: 700;\"\u003eASUS Ascent GX10 Datasheet — Technical Specifications\u003c\/summary\u003e\n\u003cdiv class=\"pd-acc-body\"\u003e\n\u003cp\u003e\u003cstrong\u003eGeneral\u003c\/strong\u003e\u003c\/p\u003e\n\u003ctable class=\"pd-spec\"\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eModel\u003c\/td\u003e\n\u003ctd\u003eASUS Ascent GX10 — 4TB\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eSKU \/ Part Number\u003c\/td\u003e\n\u003ctd\u003eGX10-GG0031BN \/ 90MS0371-M000Z0\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eProduct Type\u003c\/td\u003e\n\u003ctd\u003eUltra-Compact Desktop AI Supercomputer (NVIDIA DGX Spark Platform)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eOperating System\u003c\/td\u003e\n\u003ctd\u003eUbuntu Linux \/ NVIDIA DGX OS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eColor\u003c\/td\u003e\n\u003ctd\u003eStellar Grey, Premium Metal Chassis\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eWarranty\u003c\/td\u003e\n\u003ctd\u003e1 Year Onsite Warranty (Limited-Time Free Upgrade to 3 Years)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\n\u003cp\u003e\u003cstrong\u003eProcessor — NVIDIA GB10 Grace Blackwell Superchip\u003c\/strong\u003e\u003c\/p\u003e\n\u003ctable class=\"pd-spec\"\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eCPU\u003c\/td\u003e\n\u003ctd\u003e20-Core Arm v9.2-A — 10 × Cortex-X925 + 10 × Cortex-A725\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eGPU\u003c\/td\u003e\n\u003ctd\u003eNVIDIA Blackwell (Integrated), 5th-Gen Tensor Cores\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eAI Performance\u003c\/td\u003e\n\u003ctd\u003eUp to 1 PetaFLOP FP4\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eLLM Support\u003c\/td\u003e\n\u003ctd\u003eUp to 200 Billion Parameter Models (Single Unit)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\n\u003cp\u003e\u003cstrong\u003eMemory \u0026amp; Storage\u003c\/strong\u003e\u003c\/p\u003e\n\u003ctable class=\"pd-spec\"\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eMemory\u003c\/td\u003e\n\u003ctd\u003e128 GB LPDDR5X Coherent Unified Memory (Shared CPU–GPU)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eStorage\u003c\/td\u003e\n\u003ctd\u003e4 TB M.2 NVMe PCIe SSD\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\n\u003cp\u003e\u003cstrong\u003eNetworking\u003c\/strong\u003e\u003c\/p\u003e\n\u003ctable class=\"pd-spec\"\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eSmartNIC\u003c\/td\u003e\n\u003ctd\u003eNVIDIA ConnectX-7 — Dual-System Scaling \u0026amp; Cluster Networking\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eEthernet\u003c\/td\u003e\n\u003ctd\u003e1 × 10 GbE RJ-45\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eWireless\u003c\/td\u003e\n\u003ctd\u003eWi-Fi 7, Bluetooth 5.4\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\n\u003cp\u003e\u003cstrong\u003ePorts \u0026amp; Connectivity\u003c\/strong\u003e\u003c\/p\u003e\n\u003ctable class=\"pd-spec\"\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eUSB\u003c\/td\u003e\n\u003ctd\u003e4 × USB 3.2 Gen 2x2 Type-C (20 Gbps)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eDisplay\u003c\/td\u003e\n\u003ctd\u003e1 × HDMI 2.1b; DisplayPort 2.1 via USB-C Alt Mode\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eSecurity\u003c\/td\u003e\n\u003ctd\u003eKensington Lock Slot\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePower Input\u003c\/td\u003e\n\u003ctd\u003eUSB-C PD 3.1 (180W EPR), 240W External Adapter\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\n\u003cp\u003e\u003cstrong\u003eCooling \u0026amp; Physical\u003c\/strong\u003e\u003c\/p\u003e\n\u003ctable class=\"pd-spec\"\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eCooling\u003c\/td\u003e\n\u003ctd\u003eQuietFlow — Triple-Fan, Dual Vapor Chamber\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eDimensions\u003c\/td\u003e\n\u003ctd\u003e150 × 150 × 51 mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eWeight\u003c\/td\u003e\n\u003ctd\u003eApproximately 1.48 kg\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\n\u003cp\u003e\u003cstrong\u003eSoftware Support\u003c\/strong\u003e\u003c\/p\u003e\n\u003ctable class=\"pd-spec\"\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eAI Stack\u003c\/td\u003e\n\u003ctd\u003eCUDA, TensorRT, NVIDIA NIM, PyTorch, TensorFlow, Jupyter, NVIDIA AI Software Stack\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eWorkloads\u003c\/td\u003e\n\u003ctd\u003eLLM Fine-Tuning, Local Inference, Agentic AI, RAG, Deep Learning Training\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\n\u003c\/div\u003e\n\u003c\/details\u003e\n\u003cdetails class=\"pd-acc\"\u003e\n\u003csummary style=\"cursor: pointer; font-weight: 700;\"\u003ePackage Contents \u0026amp; Ordering Information\u003c\/summary\u003e\n\u003cdiv class=\"pd-acc-body\"\u003e\n\u003cp\u003e\u003cstrong\u003ePackage Contents\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eASUS Ascent GX10 AI Supercomputer (4TB)\u003cbr\u003e\n240W Power Adapter\u003cbr\u003e\nPower Cord\u003cbr\u003e\nUser Manual\u003cbr\u003e\nWarranty Card\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eOrdering Information — AI Supercomputers at SourceIT\u003c\/strong\u003e\u003c\/p\u003e\n\u003ctable class=\"pd-spec\"\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eASUS Ascent GX10 4TB\u003c\/td\u003e\n\u003ctd\u003eGX10-GG0031BN (This Product)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eASUS Ascent GX10 1TB\u003c\/td\u003e\n\u003ctd\u003e\u003ca href=\"\/products\/asus-ascent-gx10-compact-desktop-ai-supercomputer-1tb-gx10-gg0007bn\"\u003eGX10-GG0007BN — In Stock\u003c\/a\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eASUS Ascent GX10 2TB\u003c\/td\u003e\n\u003ctd\u003e\u003ca href=\"\/products\/asus-ascent-gx10-compact-desktop-ai-supercomputer-2tb-gx10-gg0030bn\"\u003eGX10-GG0030BN — In Stock\u003c\/a\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eNVIDIA DGX Spark 4TB\u003c\/td\u003e\n\u003ctd\u003e\u003ca href=\"\/products\/nvidia-dgx-spark-ai-supercomputer-4tb-940-54242-0007-000\"\u003e940-54242-0007-000 — In Stock\u003c\/a\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eNVIDIA QSFP112 400G DAC Cable (Links 2 Units)\u003c\/td\u003e\n\u003ctd\u003e\u003ca href=\"\/products\/nvidia-qsfp112-400g-dac-cable-40cm-x0101g00400a\"\u003eX0101G00400A — In Stock\u003c\/a\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\n\u003c\/div\u003e\n\u003c\/details\u003e\n\u003cdetails class=\"pd-acc\"\u003e\n\u003csummary style=\"cursor: pointer; font-weight: 700;\"\u003eDatasheet \u0026amp; Downloads\u003c\/summary\u003e\n\u003cdiv class=\"pd-acc-body\"\u003e\n\u003cp\u003e• \u003ca href=\"https:\/\/www.asus.com\/networking-iot-servers\/aiot-industrial-solutions\/embedded-computers-edge-ai-systems\/asus-ascent-gx10\/\" rel=\"noopener\" target=\"_blank\"\u003eASUS Ascent GX10 — Official Product Page \u0026amp; Specifications\u003c\/a\u003e\u003cbr\u003e\n• \u003ca href=\"https:\/\/www.nvidia.com\/en-us\/products\/workstations\/dgx-spark\/\" rel=\"noopener\" target=\"_blank\"\u003eNVIDIA DGX Spark Platform — Official Specifications\u003c\/a\u003e\u003cbr\u003e\n• \u003ca href=\"https:\/\/sourceit.com.sg\/blogs\/news\/nvidia-dgx-spark-setup-and-enterprise-deployment-guide\"\u003eDGX Spark Platform Setup \u0026amp; Enterprise Deployment Guide — SourceIT\u003c\/a\u003e\u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/details\u003e\n\u003cdetails class=\"pd-acc\"\u003e\n\u003csummary style=\"cursor: pointer; font-weight: 700;\"\u003eFrequently Asked Questions — ASUS Ascent GX10\u003c\/summary\u003e\n\u003cdiv class=\"pd-acc-body\"\u003e\n\u003cp\u003e\u003cstrong\u003eWhat is the difference between the ASUS Ascent GX10 and the NVIDIA DGX Spark?\u003c\/strong\u003e\u003cbr\u003e\nBoth run the same NVIDIA GB10 Grace Blackwell platform — 128 GB unified memory, up to 1 PFLOP FP4, ConnectX-7 networking. The GX10 4TB matches the \u003ca href=\"\/products\/nvidia-dgx-spark-ai-supercomputer-4tb-940-54242-0007-000\"\u003eDGX Spark's\u003c\/a\u003e storage at a sharper price, with onsite warranty.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eWhat AI models can the GX10 run?\u003c\/strong\u003e\u003cbr\u003e\nUp to 200-billion-parameter models on a single unit — local inference and fine-tuning of Llama, Qwen, DeepSeek, Mistral-class models. Link two GX10s via ConnectX-7 for even larger workloads.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eWho is the 4TB model for?\u003c\/strong\u003e\u003cbr\u003e\nTeams keeping multiple large models, training datasets, checkpoints and vector databases on-device — maximum headroom without external storage.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eDo I need special power or cooling?\u003c\/strong\u003e\u003cbr\u003e\nNo — it draws from a standard socket via a 240W adapter (USB-C PD 3.1) and cools itself with the whisper-quiet QuietFlow triple-fan design.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eWhat warranty do I get in Singapore?\u003c\/strong\u003e\u003cbr\u003e\n1 year onsite warranty with a limited-time free upgrade to 3 years, plus a GST invoice from SourceIT. Volume and enterprise procurement enquiries welcome.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/details\u003e\n\u003c\/div\u003e","brand":"Asus","offers":[{"title":"Default Title","offer_id":51167329550500,"sku":"GX10-GG0031BN \/ 90MS0371-M000Z0","price":10600.0,"currency_code":"SGD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0605\/0136\/0804\/files\/asus-ascent-gx10-compact-desktop-ai-supercomputer-1tb-gx10-gg0007bn-7973426.png?v=1761560946"},{"product_id":"logitech-mx-master-4-wireless-mouse-graphite-910-007565","title":"Logitech MX Master 4 Wireless Mouse Graphite","description":"\u003cdiv\u003e\n\u003cstyle\u003e\n.pd-acc { border: 1px solid #e2e2e2; border-radius: 8px; margin: 10px 0; overflow: hidden; }\n.pd-acc summary { cursor: pointer; padding: 14px 16px; font-weight: 700; font-size: 1.05em; list-style: none; display: flex; justify-content: space-between; align-items: center; background: #f7f7f7; }\n.pd-acc[open] \u003e summary { border-bottom: 1px solid #e2e2e2; }\n.pd-acc summary::-webkit-details-marker { display: none; }\n.pd-acc summary::after { content: \"+\"; font-size: 1.4em; font-weight: 400; line-height: 1; margin-left: 12px; }\n.pd-acc[open] \u003e summary::after { content: \"\\2212\"; }\n.pd-acc .pd-acc-body { padding: 8px 16px 14px; }\n.pd-spec, .pd-spec tr, .pd-spec td { border: none !important; background: transparent !important; }\n.pd-spec { width: 100%; border-collapse: collapse !important; margin: 6px 0 18px; }\n.pd-spec td { padding: 7px 10px 7px 0 !important; border-bottom: 1px solid #ececec !important; vertical-align: top; font-size: 0.95em; text-align: left; }\n.pd-spec td:first-child { width: 38%; font-weight: 600; color: #333; }\n.pd-spec tr:last-child td { border-bottom: none !important; }\n\u003c\/style\u003e\n\u003ch2\u003e\u003cstrong\u003eLogitech MX Master 4 Wireless Mouse Graphite (910-007565) - 2 Years Local Warranty\u003c\/strong\u003e\u003c\/h2\u003e\n\u003ch3\u003eLogitech MX Master 4 — Flagship Wireless Productivity Mouse for Singapore Professionals\u003c\/h3\u003e\n\u003cp\u003eThe Logitech MX Master 4 Wireless Mouse in Graphite (910-007565) is Logitech's flagship right-handed productivity mouse, redesigned for engineers, designers, analysts and hybrid-office professionals who spend all day in demanding applications. It combines an 8,000 DPI Darkfield sensor, MagSpeed electromagnetic scrolling and a new haptic Actions Ring to deliver a precise, low-fatigue pointing experience across Windows, macOS, ChromeOS, Linux and iPadOS.\u003c\/p\u003e\n\u003ch3\u003eHaptic Actions Ring and MagSpeed Scrolling for Faster Workflows\u003c\/h3\u003e\n\u003cp\u003eA dedicated button summons the Actions Ring, an on-screen overlay of app-specific shortcuts you configure in Logi Options+ — with subtle haptic feedback confirming each interaction. The MagSpeed wheel flies through long spreadsheets and code files at up to 1,000 lines\/second and drops into precision ratchet mode when you need line-by-line control. A separate thumbwheel handles horizontal scrolling and app switching.\u003c\/p\u003e\n\u003ch3\u003eDarkfield Precision Sensor and Multi-Device Easy-Switch\u003c\/h3\u003e\n\u003cp\u003eThe MX Master 4 tracks at 200–8,000 DPI on virtually any surface — including glass 4 mm or thicker — so it performs reliably on the tempered-glass desks and reflective boardroom tables common in Singapore offices. Easy-Switch pairs the mouse with up to 3 computers over Bluetooth Low Energy, and Logitech Flow lets you move a cursor and copy\/paste files across those computers as if they were one workstation.\u003c\/p\u003e\n\u003ch3\u003eUp to 70 Days on a Charge, Sustainable Materials, 2 Years Local Warranty\u003c\/h3\u003e\n\u003cp\u003eA single USB-C charge lasts up to 70 days of typical use; a one-minute top-up delivers roughly 3 hours of runtime for those \"forgot to charge\" mornings. The MX Master 4 uses recycled plastic and low-carbon aluminium in its construction, ships in FSC-certified packaging, and is backed by 2 years local Singapore warranty with a GST invoice when you buy from SourceIT.\u003c\/p\u003e\n\u003cdetails class=\"pd-acc\"\u003e\u003csummary style=\"cursor: pointer; font-weight: 700;\"\u003eMX Master 4 Datasheet — Technical Specifications\u003c\/summary\u003e\u003cdiv class=\"pd-acc-body\"\u003e\n\u003ch4\u003eGeneral\u003c\/h4\u003e\n\u003ctable class=\"pd-spec\"\u003e\n\u003ctr\u003e\n\u003ctd\u003eProduct Name\u003c\/td\u003e\n\u003ctd\u003eLogitech MX Master 4 Wireless Mouse (Graphite)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eBrand \/ Vendor\u003c\/td\u003e\n\u003ctd\u003eLogitech\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePart Number\u003c\/td\u003e\n\u003ctd\u003e910-007565\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eColour\u003c\/td\u003e\n\u003ctd\u003eGraphite\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eForm Factor\u003c\/td\u003e\n\u003ctd\u003eFull-size right-handed ergonomic wireless mouse\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eWarranty\u003c\/td\u003e\n\u003ctd\u003e2 Years Local Warranty (Singapore)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/table\u003e\n\u003ch4\u003eSensor \u0026amp; Tracking\u003c\/h4\u003e\n\u003ctable class=\"pd-spec\"\u003e\n\u003ctr\u003e\n\u003ctd\u003eSensor\u003c\/td\u003e\n\u003ctd\u003eDarkfield high-precision sensor\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eDPI Range\u003c\/td\u003e\n\u003ctd\u003e200–8,000 DPI (adjustable in 50 DPI increments)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eTracking on Glass\u003c\/td\u003e\n\u003ctd\u003eYes, on glass 4 mm or thicker\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eReport Rate\u003c\/td\u003e\n\u003ctd\u003e125 Hz (8 ms)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/table\u003e\n\u003ch4\u003eButtons \u0026amp; Controls\u003c\/h4\u003e\n\u003ctable class=\"pd-spec\"\u003e\n\u003ctr\u003e\n\u003ctd\u003eButtons\u003c\/td\u003e\n\u003ctd\u003e8 buttons (6 programmable) — left\/right, back\/forward, gesture, wheel mode-shift, middle click, Actions Ring\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eScroll Wheel\u003c\/td\u003e\n\u003ctd\u003eMagSpeed electromagnetic scrolling — up to 1,000 lines\/second, free-spin and precision (ratchet) modes\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eThumbwheel\u003c\/td\u003e\n\u003ctd\u003eYes — dedicated thumbwheel for horizontal scrolling\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eActions Ring\u003c\/td\u003e\n\u003ctd\u003eYes — customisable haptic Actions Ring via Logi Options+\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eHaptic Feedback\u003c\/td\u003e\n\u003ctd\u003eYes — customisable haptic feedback for scrolling, navigation and status\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/table\u003e\n\u003ch4\u003eConnectivity\u003c\/h4\u003e\n\u003ctable class=\"pd-spec\"\u003e\n\u003ctr\u003e\n\u003ctd\u003eWireless\u003c\/td\u003e\n\u003ctd\u003eBluetooth Low Energy\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eUSB Receiver\u003c\/td\u003e\n\u003ctd\u003eNot included in consumer box (Logi Bolt USB-C receiver ships with the For Business SKU)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMulti-Device (Easy-Switch)\u003c\/td\u003e\n\u003ctd\u003eUp to 3 devices\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eWireless Range\u003c\/td\u003e\n\u003ctd\u003eUp to 10 m\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCharging Port\u003c\/td\u003e\n\u003ctd\u003eUSB-C rechargeable\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/table\u003e\n\u003ch4\u003eBattery \u0026amp; Charging\u003c\/h4\u003e\n\u003ctable class=\"pd-spec\"\u003e\n\u003ctr\u003e\n\u003ctd\u003eBattery Type\u003c\/td\u003e\n\u003ctd\u003eRechargeable Li-Po, 650 mAh (100% recycled cobalt)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eBattery Life\u003c\/td\u003e\n\u003ctd\u003eUp to 70 days on a full charge\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eQuick Charge\u003c\/td\u003e\n\u003ctd\u003e1 minute of charging = up to 3 hours of use\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/table\u003e\n\u003ch4\u003eDesign \u0026amp; Physical\u003c\/h4\u003e\n\u003ctable class=\"pd-spec\"\u003e\n\u003ctr\u003e\n\u003ctd\u003eDimensions\u003c\/td\u003e\n\u003ctd\u003eHeight 50.8 mm × Width 88.4 mm × Depth 128.2 mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eWeight\u003c\/td\u003e\n\u003ctd\u003e150 g\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eHandedness\u003c\/td\u003e\n\u003ctd\u003eRight-handed only\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCertifications\u003c\/td\u003e\n\u003ctd\u003eCertified for Zoom; Works With Chromebook; Engineered for Intel Evo\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eSustainability\u003c\/td\u003e\n\u003ctd\u003eRecycled plastic and low-carbon aluminium components; FSC-certified packaging\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/table\u003e\n\u003c\/div\u003e\u003c\/details\u003e\u003cdetails class=\"pd-acc\"\u003e\u003csummary style=\"cursor: pointer; font-weight: 700;\"\u003eCompatibility \u0026amp; Software Support\u003c\/summary\u003e\u003cdiv class=\"pd-acc-body\"\u003e\u003ctable class=\"pd-spec\"\u003e\n\u003ctr\u003e\n\u003ctd\u003eOperating Systems\u003c\/td\u003e\n\u003ctd\u003eWindows 10\/11 or later; macOS 12 or later; ChromeOS; Linux; iPadOS 15 or later; Android 12 or later\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eSoftware\u003c\/td\u003e\n\u003ctd\u003eLogi Options+ (customisation, Flow cross-computer control, app-specific profiles, Actions Ring editor)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eEnterprise Management\u003c\/td\u003e\n\u003ctd\u003eLogi Sync cloud device management portal (For Business SKU)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCertifications\u003c\/td\u003e\n\u003ctd\u003eCertified for Zoom; Works With Chromebook; Engineered for Intel Evo\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eFlow\u003c\/td\u003e\n\u003ctd\u003eLogitech Flow supported (control up to 3 computers with a single mouse and copy\/paste across them)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/table\u003e\u003c\/div\u003e\u003c\/details\u003e\u003cdetails class=\"pd-acc\"\u003e\u003csummary style=\"cursor: pointer; font-weight: 700;\"\u003ePackage Contents \u0026amp; MX Master 4 Ordering Information\u003c\/summary\u003e\u003cdiv class=\"pd-acc-body\"\u003e\n\u003cul\u003e\n\u003cli\u003eLogitech MX Master 4 mouse\u003c\/li\u003e\n\u003cli\u003eUSB-C charging cable\u003c\/li\u003e\n\u003cli\u003eUser documentation\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cem\u003eNote: the consumer MX Master 4 pairs over Bluetooth and does not include a wireless receiver. If you need a secure USB receiver for enterprise deployment, see the \u003ca href=\"\/products\/logitech-mx-master-4-for-business-graphite-910-007619\"\u003eMX Master 4 for Business\u003c\/a\u003e or purchase a Logi Bolt receiver separately.\u003c\/em\u003e\u003c\/p\u003e\n\u003ch4\u003eLogitech MX Master Series Ordering Information\u003c\/h4\u003e\n\u003ctable class=\"pd-spec\"\u003e\n\u003ctr\u003e\n\u003ctd\u003eLogitech MX Master 4 — Graphite (Consumer)\u003c\/td\u003e\n\u003ctd\u003e910-007565 — \u003ca href=\"\/products\/logitech-mx-master-4-wireless-mouse-graphite-910-007565\"\u003eIn stock at SourceIT\u003c\/a\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eLogitech MX Master 4 for Business — Graphite\u003c\/td\u003e\n\u003ctd\u003e910-007619 — \u003ca href=\"\/products\/logitech-mx-master-4-for-business-graphite-910-007619\"\u003eIn stock at SourceIT\u003c\/a\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eLogitech MX Master 3S for Business — Graphite\u003c\/td\u003e\n\u003ctd\u003e910-006583 — \u003ca href=\"\/products\/logitech-mx-master-3s-for-business-graphite-910-006583\"\u003eIn stock at SourceIT\u003c\/a\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/table\u003e\n\u003cp\u003e\u003cem\u003eRegional SKU note: Logitech publishes region-specific part numbers for the same product. The numbers above are the SG\/APAC references stocked by SourceIT; Americas\/EMEA part numbers on some Logitech datasheets differ.\u003c\/em\u003e\u003c\/p\u003e\n\u003c\/div\u003e\u003c\/details\u003e\u003cdetails class=\"pd-acc\"\u003e\u003csummary style=\"cursor: pointer; font-weight: 700;\"\u003eDatasheet \u0026amp; Downloads\u003c\/summary\u003e\u003cdiv class=\"pd-acc-body\"\u003e\u003cul\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/www.logitech.com\/content\/dam\/logitech\/en\/business\/pdf\/mx-master-4-business-datasheet.pdf\" target=\"_blank\" rel=\"noopener\"\u003eLogitech MX Master 4 for Business — Official Datasheet (PDF)\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/hub.sync.logitech.com\/mx-master-4\/post\/specifications---mx-master-4-56yxP4pGopsEsxB\" target=\"_blank\" rel=\"noopener\"\u003eLogitech Sync Hub — MX Master 4 Specifications\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/www.logitech.com\/en-sg\/shop\/p\/mx-master-4\" target=\"_blank\" rel=\"noopener\"\u003eLogitech Singapore — MX Master 4 Product Page\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/www.logitech.com\/en-us\/products\/mice\/mx-master-4-business.html\" target=\"_blank\" rel=\"noopener\"\u003eLogitech — MX Master 4 for Business Product Page\u003c\/a\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\u003c\/div\u003e\u003c\/details\u003e\u003cdetails class=\"pd-acc\"\u003e\u003csummary style=\"cursor: pointer; font-weight: 700;\"\u003eFrequently Asked Questions — Logitech MX Master 4\u003c\/summary\u003e\u003cdiv class=\"pd-acc-body\"\u003e\n\u003ch4\u003eWhat is the Actions Ring on the MX Master 4?\u003c\/h4\u003e\n\u003cp\u003eA digital, on-screen ring overlay activated by a dedicated button, giving one-click access to app-specific shortcuts you configure in Logi Options+. The MX Master 4 also delivers subtle haptic feedback when you use it.\u003c\/p\u003e\n\u003ch4\u003eWhat is the maximum DPI and does it work on glass?\u003c\/h4\u003e\n\u003cp\u003eThe Darkfield sensor tracks at 200–8,000 DPI (adjustable in 50 DPI steps) and works on virtually any surface, including glass 4 mm or thicker.\u003c\/p\u003e\n\u003ch4\u003eHow long does the battery last?\u003c\/h4\u003e\n\u003cp\u003eUp to 70 days on a full charge over USB-C. A one-minute quick-charge delivers about 3 hours of use.\u003c\/p\u003e\n\u003ch4\u003eWhat's the difference between the MX Master 4 and the MX Master 4 for Business?\u003c\/h4\u003e\n\u003cp\u003eThe hardware is identical (same 8K Darkfield sensor, haptic Actions Ring, MagSpeed wheel, 70-day battery, 150 g body). The \u003ca href=\"\/products\/logitech-mx-master-4-for-business-graphite-910-007619\"\u003eMX Master 4 for Business\u003c\/a\u003e ships with the encrypted Logi Bolt USB-C receiver in the box and adds Logi Sync enterprise deployment. The \u003ca href=\"\/products\/logitech-mx-master-4-wireless-mouse-graphite-910-007565\"\u003econsumer MX Master 4\u003c\/a\u003e connects over Bluetooth only (a Logi Bolt receiver can be bought separately).\u003c\/p\u003e\n\u003ch4\u003eShould I upgrade from the MX Master 3S?\u003c\/h4\u003e\n\u003cp\u003eThe MX Master 4 adds a haptic Actions Ring, refined ergonomics and a slightly larger 650 mAh battery. The \u003ca href=\"\/products\/logitech-mx-master-3s-for-business-graphite-910-006583\"\u003eMX Master 3S for Business\u003c\/a\u003e remains an excellent choice if you don't need the haptic ring — the sensor (8K Darkfield), Quiet Clicks, MagSpeed wheel and 70-day battery are common to both.\u003c\/p\u003e\n\u003ch4\u003eIs it certified for Microsoft Teams or Zoom?\u003c\/h4\u003e\n\u003cp\u003eLogitech officially lists Zoom certification and Works With Chromebook for the MX Master 4. Teams certification is not currently claimed by Logitech for this device.\u003c\/p\u003e\n\u003ch4\u003eDoes it come with 2 years local Singapore warranty?\u003c\/h4\u003e\n\u003cp\u003eYes. Every MX Master 4 sold by SourceIT comes with 2 years local Singapore warranty and a GST invoice.\u003c\/p\u003e\n\u003c\/div\u003e\u003c\/details\u003e\u003ciframe width=\"560\" height=\"315\" src=\"https:\/\/www.youtube.com\/embed\/P54sbSuGF5o?si=aHaln4FBS0XnhiDD\" title=\"YouTube video player\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture\" allowfullscreen\u003e\u003c\/iframe\u003e\n\u003c\/div\u003e","brand":"Logitech","offers":[{"title":"Default Title","offer_id":51168798965924,"sku":"910-007565","price":165.0,"currency_code":"SGD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0605\/0136\/0804\/files\/logitech-mx-master-4-for-business-graphite-910-007619-4303230.jpg?v=1761823995"},{"product_id":"logitech-mx-master-4-for-business-graphite-910-007619","title":"Logitech MX Master 4 For Business Graphite","description":"\u003cdiv\u003e\n\u003cstyle\u003e\n.pd-acc { border: 1px solid #e2e2e2; border-radius: 8px; margin: 10px 0; overflow: hidden; }\n.pd-acc summary { cursor: pointer; padding: 14px 16px; font-weight: 700; font-size: 1.05em; list-style: none; display: flex; justify-content: space-between; align-items: center; background: #f7f7f7; }\n.pd-acc[open] \u003e summary { border-bottom: 1px solid #e2e2e2; }\n.pd-acc summary::-webkit-details-marker { display: none; }\n.pd-acc summary::after { content: \"+\"; font-size: 1.4em; font-weight: 400; line-height: 1; margin-left: 12px; }\n.pd-acc[open] \u003e summary::after { content: \"\\2212\"; }\n.pd-acc .pd-acc-body { padding: 8px 16px 14px; }\n.pd-spec, .pd-spec tr, .pd-spec td { border: none !important; background: transparent !important; }\n.pd-spec { width: 100%; border-collapse: collapse !important; margin: 6px 0 18px; }\n.pd-spec td { padding: 7px 10px 7px 0 !important; border-bottom: 1px solid #ececec !important; vertical-align: top; font-size: 0.95em; text-align: left; }\n.pd-spec td:first-child { width: 38%; font-weight: 600; color: #333; }\n.pd-spec tr:last-child td { border-bottom: none !important; }\n\u003c\/style\u003e\n\u003ch2\u003e\u003cstrong\u003eLogitech MX Master 4 For Business Graphite (910-007619) - 2 Years Local Warranty\u003c\/strong\u003e\u003c\/h2\u003e\n\u003ch3\u003eLogitech MX Master 4 for Business — Enterprise-Grade Wireless Productivity Mouse\u003c\/h3\u003e\n\u003cp\u003eThe Logitech MX Master 4 for Business Graphite (910-007619) is the enterprise edition of Logitech's flagship right-handed productivity mouse, shipping with the encrypted Logi Bolt USB-C receiver and Logi Sync cloud device management so Singapore IT teams can deploy, monitor and update mice at scale. It shares the same 8,000 DPI Darkfield sensor, haptic Actions Ring, MagSpeed wheel and 70-day battery life as the consumer MX Master 4.\u003c\/p\u003e\n\u003ch3\u003eSecure Logi Bolt Wireless with FIPS-Compliant Encryption\u003c\/h3\u003e\n\u003cp\u003eThe included Logi Bolt USB-C receiver uses AES-128 encryption and FIPS-compliant pairing for corporate wireless security policies — a meaningful upgrade over the Bluetooth-only consumer edition. Multi-device Easy-Switch lets a single mouse move between up to 3 laptops or workstations over Logi Bolt and Bluetooth Low Energy.\u003c\/p\u003e\n\u003ch3\u003eHaptic Actions Ring, MagSpeed Scrolling and Darkfield Precision on Glass\u003c\/h3\u003e\n\u003cp\u003eA dedicated button opens the on-screen Actions Ring with app-specific shortcuts you configure in Logi Options+, and subtle haptic feedback confirms each action. The 200–8,000 DPI Darkfield sensor tracks on virtually any surface including glass 4 mm or thicker; the MagSpeed wheel scrolls up to 1,000 lines\/second with a click-to-switch precision mode; and a separate thumbwheel handles horizontal scrolling.\u003c\/p\u003e\n\u003ch3\u003eLogi Sync Enterprise Deployment and 2 Years Local Warranty\u003c\/h3\u003e\n\u003cp\u003eIT teams can use the Logi Sync cloud portal to mass-deploy Logi Options+ policies, push firmware updates and monitor MX Master 4 fleets across the business. The mouse charges over USB-C for up to 70 days of runtime on a single charge, is built with recycled plastic and low-carbon aluminium, and every unit sold by SourceIT is backed by 2 years local Singapore warranty with a GST invoice.\u003c\/p\u003e\n\u003cdetails class=\"pd-acc\"\u003e\u003csummary style=\"cursor: pointer; font-weight: 700;\"\u003eMX Master 4 for Business Datasheet — Technical Specifications\u003c\/summary\u003e\u003cdiv class=\"pd-acc-body\"\u003e\n\u003ch4\u003eGeneral\u003c\/h4\u003e\n\u003ctable class=\"pd-spec\"\u003e\n\u003ctr\u003e\n\u003ctd\u003eProduct Name\u003c\/td\u003e\n\u003ctd\u003eLogitech MX Master 4 for Business (Graphite)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eBrand \/ Vendor\u003c\/td\u003e\n\u003ctd\u003eLogitech\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePart Number\u003c\/td\u003e\n\u003ctd\u003e910-007619\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eColour\u003c\/td\u003e\n\u003ctd\u003eGraphite\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eForm Factor\u003c\/td\u003e\n\u003ctd\u003eFull-size right-handed ergonomic wireless mouse\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eWarranty\u003c\/td\u003e\n\u003ctd\u003e2 Years Local Warranty (Singapore)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/table\u003e\n\u003ch4\u003eSensor \u0026amp; Tracking\u003c\/h4\u003e\n\u003ctable class=\"pd-spec\"\u003e\n\u003ctr\u003e\n\u003ctd\u003eSensor\u003c\/td\u003e\n\u003ctd\u003eDarkfield high-precision sensor\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eDPI Range\u003c\/td\u003e\n\u003ctd\u003e200–8,000 DPI (adjustable in 50 DPI increments)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eTracking on Glass\u003c\/td\u003e\n\u003ctd\u003eYes, on glass 4 mm or thicker\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eReport Rate\u003c\/td\u003e\n\u003ctd\u003e125 Hz (8 ms)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/table\u003e\n\u003ch4\u003eButtons \u0026amp; Controls\u003c\/h4\u003e\n\u003ctable class=\"pd-spec\"\u003e\n\u003ctr\u003e\n\u003ctd\u003eButtons\u003c\/td\u003e\n\u003ctd\u003e8 buttons (6 programmable) — left\/right, back\/forward, gesture, wheel mode-shift, middle click, Actions Ring\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eScroll Wheel\u003c\/td\u003e\n\u003ctd\u003eMagSpeed electromagnetic scrolling — up to 1,000 lines\/second, free-spin and precision (ratchet) modes\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eThumbwheel\u003c\/td\u003e\n\u003ctd\u003eYes — dedicated thumbwheel for horizontal scrolling\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eActions Ring\u003c\/td\u003e\n\u003ctd\u003eYes — customisable haptic Actions Ring via Logi Options+\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eHaptic Feedback\u003c\/td\u003e\n\u003ctd\u003eYes — customisable haptic feedback for scrolling, navigation and status\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/table\u003e\n\u003ch4\u003eConnectivity\u003c\/h4\u003e\n\u003ctable class=\"pd-spec\"\u003e\n\u003ctr\u003e\n\u003ctd\u003eWireless\u003c\/td\u003e\n\u003ctd\u003eLogi Bolt USB-C receiver (included) + Bluetooth Low Energy\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMulti-Device (Easy-Switch)\u003c\/td\u003e\n\u003ctd\u003eUp to 3 devices\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eWireless Range\u003c\/td\u003e\n\u003ctd\u003eUp to 10 m\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCharging Port\u003c\/td\u003e\n\u003ctd\u003eUSB-C rechargeable\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eWireless Security\u003c\/td\u003e\n\u003ctd\u003eEncrypted Logi Bolt secure pairing (FIPS-compliant)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/table\u003e\n\u003ch4\u003eBattery \u0026amp; Charging\u003c\/h4\u003e\n\u003ctable class=\"pd-spec\"\u003e\n\u003ctr\u003e\n\u003ctd\u003eBattery Type\u003c\/td\u003e\n\u003ctd\u003eRechargeable Li-Po, 650 mAh (100% recycled cobalt)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eBattery Life\u003c\/td\u003e\n\u003ctd\u003eUp to 70 days on a full charge\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eQuick Charge\u003c\/td\u003e\n\u003ctd\u003e1 minute of charging = up to 3 hours of use\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/table\u003e\n\u003ch4\u003eDesign \u0026amp; Physical\u003c\/h4\u003e\n\u003ctable class=\"pd-spec\"\u003e\n\u003ctr\u003e\n\u003ctd\u003eDimensions\u003c\/td\u003e\n\u003ctd\u003eHeight 50.8 mm × Width 88.4 mm × Depth 128.2 mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eWeight\u003c\/td\u003e\n\u003ctd\u003e150 g\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eHandedness\u003c\/td\u003e\n\u003ctd\u003eRight-handed only\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCertifications\u003c\/td\u003e\n\u003ctd\u003eCertified for Zoom; Works With Chromebook; Engineered for Intel Evo\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eSustainability\u003c\/td\u003e\n\u003ctd\u003eRecycled plastic and low-carbon aluminium components; FSC-certified packaging\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/table\u003e\n\u003c\/div\u003e\u003c\/details\u003e\u003cdetails class=\"pd-acc\"\u003e\u003csummary style=\"cursor: pointer; font-weight: 700;\"\u003eCompatibility \u0026amp; Software Support\u003c\/summary\u003e\u003cdiv class=\"pd-acc-body\"\u003e\u003ctable class=\"pd-spec\"\u003e\n\u003ctr\u003e\n\u003ctd\u003eOperating Systems\u003c\/td\u003e\n\u003ctd\u003eWindows 10\/11 or later; macOS 12 or later; ChromeOS; Linux; iPadOS 15 or later; Android 12 or later\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eSoftware\u003c\/td\u003e\n\u003ctd\u003eLogi Options+ (customisation, Flow cross-computer control, app-specific profiles, Actions Ring editor)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eEnterprise Management\u003c\/td\u003e\n\u003ctd\u003eLogi Sync cloud device management portal (For Business SKU)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCertifications\u003c\/td\u003e\n\u003ctd\u003eCertified for Zoom; Works With Chromebook; Engineered for Intel Evo\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eFlow\u003c\/td\u003e\n\u003ctd\u003eLogitech Flow supported (control up to 3 computers with a single mouse and copy\/paste across them)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/table\u003e\u003c\/div\u003e\u003c\/details\u003e\u003cdetails class=\"pd-acc\"\u003e\u003csummary style=\"cursor: pointer; font-weight: 700;\"\u003ePackage Contents \u0026amp; MX Master 4 Ordering Information\u003c\/summary\u003e\u003cdiv class=\"pd-acc-body\"\u003e\n\u003cul\u003e\n\u003cli\u003eLogitech MX Master 4 for Business mouse\u003c\/li\u003e\n\u003cli\u003eLogi Bolt USB-C receiver (encrypted, FIPS-compliant)\u003c\/li\u003e\n\u003cli\u003eUSB-C charging cable\u003c\/li\u003e\n\u003cli\u003eUser documentation\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch4\u003eLogitech MX Master Series Ordering Information\u003c\/h4\u003e\n\u003ctable class=\"pd-spec\"\u003e\n\u003ctr\u003e\n\u003ctd\u003eLogitech MX Master 4 — Graphite (Consumer)\u003c\/td\u003e\n\u003ctd\u003e910-007565 — \u003ca href=\"\/products\/logitech-mx-master-4-wireless-mouse-graphite-910-007565\"\u003eIn stock at SourceIT\u003c\/a\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eLogitech MX Master 4 for Business — Graphite\u003c\/td\u003e\n\u003ctd\u003e910-007619 — \u003ca href=\"\/products\/logitech-mx-master-4-for-business-graphite-910-007619\"\u003eIn stock at SourceIT\u003c\/a\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eLogitech MX Master 3S for Business — Graphite\u003c\/td\u003e\n\u003ctd\u003e910-006583 — \u003ca href=\"\/products\/logitech-mx-master-3s-for-business-graphite-910-006583\"\u003eIn stock at SourceIT\u003c\/a\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/table\u003e\n\u003cp\u003e\u003cem\u003eRegional SKU note: Logitech publishes region-specific part numbers for the same product. The numbers above are the SG\/APAC references stocked by SourceIT; Americas\/EMEA part numbers on some Logitech datasheets differ.\u003c\/em\u003e\u003c\/p\u003e\n\u003c\/div\u003e\u003c\/details\u003e\u003cdetails class=\"pd-acc\"\u003e\u003csummary style=\"cursor: pointer; font-weight: 700;\"\u003eDatasheet \u0026amp; Downloads\u003c\/summary\u003e\u003cdiv class=\"pd-acc-body\"\u003e\u003cul\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/www.logitech.com\/content\/dam\/logitech\/en\/business\/pdf\/mx-master-4-business-datasheet.pdf\" target=\"_blank\" rel=\"noopener\"\u003eLogitech MX Master 4 for Business — Official Datasheet (PDF)\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/hub.sync.logitech.com\/mx-master-4\/post\/specifications---mx-master-4-56yxP4pGopsEsxB\" target=\"_blank\" rel=\"noopener\"\u003eLogitech Sync Hub — MX Master 4 Specifications\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/www.logitech.com\/en-sg\/shop\/p\/mx-master-4\" target=\"_blank\" rel=\"noopener\"\u003eLogitech Singapore — MX Master 4 Product Page\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/www.logitech.com\/en-us\/products\/mice\/mx-master-4-business.html\" target=\"_blank\" rel=\"noopener\"\u003eLogitech — MX Master 4 for Business Product Page\u003c\/a\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\u003c\/div\u003e\u003c\/details\u003e\u003cdetails class=\"pd-acc\"\u003e\u003csummary style=\"cursor: pointer; font-weight: 700;\"\u003eFrequently Asked Questions — Logitech MX Master 4 for Business\u003c\/summary\u003e\u003cdiv class=\"pd-acc-body\"\u003e\n\u003ch4\u003eWhat is the Actions Ring on the MX Master 4?\u003c\/h4\u003e\n\u003cp\u003eA digital, on-screen ring overlay activated by a dedicated button, giving one-click access to app-specific shortcuts you configure in Logi Options+. The MX Master 4 also delivers subtle haptic feedback when you use it.\u003c\/p\u003e\n\u003ch4\u003eWhat is the maximum DPI and does it work on glass?\u003c\/h4\u003e\n\u003cp\u003eThe Darkfield sensor tracks at 200–8,000 DPI (adjustable in 50 DPI steps) and works on virtually any surface, including glass 4 mm or thicker.\u003c\/p\u003e\n\u003ch4\u003eHow long does the battery last?\u003c\/h4\u003e\n\u003cp\u003eUp to 70 days on a full charge over USB-C. A one-minute quick-charge delivers about 3 hours of use.\u003c\/p\u003e\n\u003ch4\u003eWhat's the difference between the MX Master 4 and the MX Master 4 for Business?\u003c\/h4\u003e\n\u003cp\u003eThe hardware is identical (same 8K Darkfield sensor, haptic Actions Ring, MagSpeed wheel, 70-day battery, 150 g body). The \u003ca href=\"\/products\/logitech-mx-master-4-for-business-graphite-910-007619\"\u003eMX Master 4 for Business\u003c\/a\u003e ships with the encrypted Logi Bolt USB-C receiver in the box and adds Logi Sync enterprise deployment. The \u003ca href=\"\/products\/logitech-mx-master-4-wireless-mouse-graphite-910-007565\"\u003econsumer MX Master 4\u003c\/a\u003e connects over Bluetooth only (a Logi Bolt receiver can be bought separately).\u003c\/p\u003e\n\u003ch4\u003eShould I upgrade from the MX Master 3S?\u003c\/h4\u003e\n\u003cp\u003eThe MX Master 4 adds a haptic Actions Ring, refined ergonomics and a slightly larger 650 mAh battery. The \u003ca href=\"\/products\/logitech-mx-master-3s-for-business-graphite-910-006583\"\u003eMX Master 3S for Business\u003c\/a\u003e remains an excellent choice if you don't need the haptic ring — the sensor (8K Darkfield), Quiet Clicks, MagSpeed wheel and 70-day battery are common to both.\u003c\/p\u003e\n\u003ch4\u003eIs it certified for Microsoft Teams or Zoom?\u003c\/h4\u003e\n\u003cp\u003eLogitech officially lists Zoom certification and Works With Chromebook for the MX Master 4. Teams certification is not currently claimed by Logitech for this device.\u003c\/p\u003e\n\u003ch4\u003eDoes it come with 2 years local Singapore warranty?\u003c\/h4\u003e\n\u003cp\u003eYes. Every MX Master 4 sold by SourceIT comes with 2 years local Singapore warranty and a GST invoice.\u003c\/p\u003e\n\u003c\/div\u003e\u003c\/details\u003e\u003ciframe width=\"560\" height=\"315\" src=\"https:\/\/www.youtube.com\/embed\/P54sbSuGF5o?si=aHaln4FBS0XnhiDD\" title=\"YouTube video player\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture\" allowfullscreen\u003e\u003c\/iframe\u003e\n\u003c\/div\u003e","brand":"Logitech","offers":[{"title":"Default Title","offer_id":51168862208164,"sku":"910-007619","price":165.0,"currency_code":"SGD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0605\/0136\/0804\/files\/logitech-mx-master-4-for-business-graphite-910-007619-4303230.jpg?v=1761823995"},{"product_id":"logitech-zone-wireless-2-es-native-bluetooth-anc-headset-981-001513","title":"Logitech Zone Wireless 2 ES Native Bluetooth ANC Headset","description":"\u003cdiv\u003e\n\u003cstyle\u003e\n.pd-acc { border: 1px solid #e2e2e2; border-radius: 8px; margin: 10px 0; overflow: hidden; }\n.pd-acc summary { cursor: pointer; padding: 14px 16px; font-weight: 700; font-size: 1.05em; list-style: none; display: flex; justify-content: space-between; align-items: center; background: #f7f7f7; }\n.pd-acc[open] \u003e summary { border-bottom: 1px solid #e2e2e2; }\n.pd-acc summary::-webkit-details-marker { display: none; }\n.pd-acc summary::after { content: \"+\"; font-size: 1.4em; font-weight: 400; line-height: 1; margin-left: 12px; }\n.pd-acc[open] \u003e summary::after { content: \"\\2212\"; }\n.pd-acc .pd-acc-body { padding: 8px 16px 14px; }\n.pd-spec, .pd-spec tr, .pd-spec td { border: none !important; background: transparent !important; }\n.pd-spec { width: 100%; border-collapse: collapse !important; margin: 6px 0 18px; }\n.pd-spec td { padding: 7px 10px 7px 0 !important; border-bottom: 1px solid #ececec !important; vertical-align: top; font-size: 0.95em; text-align: left; }\n.pd-spec td:first-child { width: 38%; font-weight: 600; color: #333; }\n.pd-spec tr:last-child td { border-bottom: none !important; }\n\u003c\/style\u003e\n\u003ch2\u003e\u003cstrong\u003eLogitech Zone Wireless 2 ES Native Bluetooth ANC Headset (981-001513) - 2 Years Local Warranty\u003c\/strong\u003e\u003c\/h2\u003e\n\u003ch3\u003e\u003cstrong\u003eAdaptive ANC Business Headset That Needs No Dongle\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp\u003eThe Logitech Zone Wireless 2 ES (981-001513) is the native Bluetooth build of Logitech’s current-generation business headset. It is certified for Microsoft Teams over native Bluetooth and is a Zoom-certified native Bluetooth headset, so it pairs directly with a laptop or phone — no receiver to issue, track or replace across a Singapore hot-desking floor.\u003c\/p\u003e\n\u003ch3\u003e\u003cstrong\u003eAdaptive Hybrid ANC with Five Modes\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp\u003eAdaptive hybrid ANC continuously matches cancellation to the room, with five selectable modes: ANC high, ANC low, ANC adaptive, Transparency on, and ANC and Transparency off. Custom 40 mm drivers handle both the meeting and the music between them, with a rated 20 Hz – 20 kHz music response.\u003c\/p\u003e\n\u003ch3\u003e\u003cstrong\u003eMic EQ and a Premium Open-Office Microphone\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp\u003eThree omni-directional MEMS microphones and one unidirectional ECM microphone feed two noise-cancelling mics running AI-based algorithms, meeting Microsoft’s Premium Microphone for Open Office requirement. Mic EQ lets users shape their outbound voice in three modes — brighter, deeper or neutral.\u003c\/p\u003e\n\u003ch3\u003e\u003cstrong\u003eUp to 48 Hours of Listening in a 212 g Headset\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp\u003eLogitech rates Zone Wireless 2 ES at up to 20 hours of talk time with ANC on and up to 48 hours of listening with ANC off, in a 212 g build. The headset is TCO Certified, made with a minimum 50% post-consumer recycled plastic (57% on Graphite), and its battery, strap and earpads are all replaceable without tools.\u003c\/p\u003e\n\u003cdetails class=\"pd-acc\"\u003e\u003csummary style=\"cursor: pointer; font-weight: 700;\"\u003eLogitech Zone Wireless 2 ES Datasheet — Technical Specifications\u003c\/summary\u003e\u003cdiv class=\"pd-acc-body\"\u003e\n\u003ch4\u003eGeneral\u003c\/h4\u003e\n\u003ctable class=\"pd-spec\"\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eModel\u003c\/td\u003e\n\u003ctd\u003eZone Wireless 2 ES for Business (Microsoft Teams, native Bluetooth)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePart Number\u003c\/td\u003e\n\u003ctd\u003e981-001513 (Asia Pacific)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eProduct Type\u003c\/td\u003e\n\u003ctd\u003eWireless adaptive-ANC business headset\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eWearing Style\u003c\/td\u003e\n\u003ctd\u003eOver-ear, stereo (binaural)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eColour\u003c\/td\u003e\n\u003ctd\u003eGraphite\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eWarranty\u003c\/td\u003e\n\u003ctd\u003e2 Years Local Warranty (Singapore)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\n\u003ch4\u003eAudio\u003c\/h4\u003e\n\u003ctable class=\"pd-spec\"\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eSpeaker Drivers\u003c\/td\u003e\n\u003ctd\u003eCustom-designed 40 mm speakers with enhanced ANC and bass performance\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eFrequency Response (music)\u003c\/td\u003e\n\u003ctd\u003e20 Hz – 20 kHz\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eFrequency Response (talk)\u003c\/td\u003e\n\u003ctd\u003e100 Hz – 8 kHz\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eSensitivity\u003c\/td\u003e\n\u003ctd\u003e97 dB ±3 dB @ 1 kHz\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eImpedance\u003c\/td\u003e\n\u003ctd\u003e36 Ohm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMaximum SPL\u003c\/td\u003e\n\u003ctd\u003e95 dB\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eAudio Codecs\u003c\/td\u003e\n\u003ctd\u003eSBC, AAC\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMicrophone Array\u003c\/td\u003e\n\u003ctd\u003e3 omni-directional MEMS microphones and 1 unidirectional ECM microphone\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eNoise-Cancelling Mics\u003c\/td\u003e\n\u003ctd\u003e2 noise-cancelling mics with AI-based algorithms and Mic EQ\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMicrophone Frequency Response\u003c\/td\u003e\n\u003ctd\u003e100 Hz – 10 kHz\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMic EQ\u003c\/td\u003e\n\u003ctd\u003e3 modes — brighter, deeper, neutral\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eNoise Cancellation\u003c\/td\u003e\n\u003ctd\u003eAdaptive hybrid active noise cancellation (ANC)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eANC Modes\u003c\/td\u003e\n\u003ctd\u003e5 modes — ANC high, ANC low, ANC adaptive, Transparency on, ANC and Transparency off\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eAcoustic Compliance\u003c\/td\u003e\n\u003ctd\u003eEN 50332-2 compliant; G616 compliant\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\n\u003ch4\u003eConnectivity\u003c\/h4\u003e\n\u003ctable class=\"pd-spec\"\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eBluetooth\u003c\/td\u003e\n\u003ctd\u003eBluetooth 5.3 (Bluetooth Low Energy enabled)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eWireless Range\u003c\/td\u003e\n\u003ctd\u003eUp to 50 m (170 ft) open field, line of sight\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eUSB Receiver\u003c\/td\u003e\n\u003ctd\u003eNot included — supplied only with the receiver versions of Zone Wireless 2 ES\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMultipoint\u003c\/td\u003e\n\u003ctd\u003e2 active connections and up to 8 stored connections\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCharging Port\u003c\/td\u003e\n\u003ctd\u003eUSB-C\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\n\u003ch4\u003eBattery\u003c\/h4\u003e\n\u003ctable class=\"pd-spec\"\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eBattery Type\u003c\/td\u003e\n\u003ctd\u003eBuilt-in lithium-ion, user replaceable\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eTalk Time\u003c\/td\u003e\n\u003ctd\u003eUp to 20 hrs with ANC on; up to 25 hrs with ANC off\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eListening Time\u003c\/td\u003e\n\u003ctd\u003eUp to 25 hrs with ANC on; up to 48 hrs with ANC off\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eFull Charge\u003c\/td\u003e\n\u003ctd\u003e2 hrs\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eQuick Charge\u003c\/td\u003e\n\u003ctd\u003e5-minute quick charge = up to 1 hr of talk time (ANC off)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\n\u003ch4\u003eDesign \u0026amp; Power\u003c\/h4\u003e\n\u003ctable class=\"pd-spec\"\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eHeadset Dimensions\u003c\/td\u003e\n\u003ctd\u003e185.2 x 183.6 x 73.0 mm (7.29 x 7.23 x 2.87 in)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eHeadset Weight\u003c\/td\u003e\n\u003ctd\u003e212 g (7.48 oz)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eUSB-C Receiver Dimensions\u003c\/td\u003e\n\u003ctd\u003e26.8 x 12.4 x 6.2 mm (1.06 x 0.49 x 0.24 in)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eRecycled Content\u003c\/td\u003e\n\u003ctd\u003eHeadset plastic: minimum 50% post-consumer recycled material (57% on Graphite); battery: 100% post-consumer recycled cobalt; magnets: 100% post-consumer recycled rare earth metal; travel bag: 100% recycled plastic\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCarbon Footprint\u003c\/td\u003e\n\u003ctd\u003e8.2 kg CO2e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePackaging\u003c\/td\u003e\n\u003ctd\u003eFSC-certified paper packaging\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eSustainability Certification\u003c\/td\u003e\n\u003ctd\u003eTCO Certified\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eServiceability\u003c\/td\u003e\n\u003ctd\u003eReplaceable battery, headset strap and earpads — no tools required\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\n\u003c\/div\u003e\u003c\/details\u003e\n\u003cdetails class=\"pd-acc\"\u003e\u003csummary style=\"cursor: pointer; font-weight: 700;\"\u003eCompatibility \u0026amp; Software Support\u003c\/summary\u003e\u003cdiv class=\"pd-acc-body\"\u003e\n\u003ch4\u003ePlatforms \u0026amp; Certifications\u003c\/h4\u003e\n\u003ctable class=\"pd-spec\"\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eMicrosoft Teams\u003c\/td\u003e\n\u003ctd\u003eCertified as a Premium Microphone for Open Office and over native Bluetooth\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eZoom\u003c\/td\u003e\n\u003ctd\u003eZoom-certified native Bluetooth headset\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eGoogle Meet \/ Google Voice\u003c\/td\u003e\n\u003ctd\u003eCertified; supports call controls over native Bluetooth for Google Meet\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eFast Pair \/ Swift Pair\u003c\/td\u003e\n\u003ctd\u003eCertified for Fast Pair; supports Swift Pair\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eIntel vPro\u003c\/td\u003e\n\u003ctd\u003eCertified\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\n\u003ch4\u003eOperating Systems \u0026amp; Software\u003c\/h4\u003e\n\u003ctable class=\"pd-spec\"\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eOperating Systems\u003c\/td\u003e\n\u003ctd\u003eWindows, macOS, ChromeOS, iOS, Android\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eLogi Tune\u003c\/td\u003e\n\u003ctd\u003eAvailable for Windows, macOS, iOS and Android — ANC and Mic EQ modes, personal settings and firmware updates\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eLogitech Sync\u003c\/td\u003e\n\u003ctd\u003eCentralised device management and silent firmware updates for IT\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\n\u003c\/div\u003e\u003c\/details\u003e\n\u003cdetails class=\"pd-acc\"\u003e\u003csummary style=\"cursor: pointer; font-weight: 700;\"\u003ePackage Contents \u0026amp; Zone Wireless 2 ES Ordering Information\u003c\/summary\u003e\u003cdiv class=\"pd-acc-body\"\u003e\n\u003cp\u003e\u003cstrong\u003eIn the box\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eOne Zone Wireless 2 ES for Business headset (native Bluetooth)\u003c\/li\u003e\n\u003cli\u003eOne USB-C charging cable\u003c\/li\u003e\n\u003cli\u003eOne travel bag\u003c\/li\u003e\n\u003cli\u003eUser documentation\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003eLogitech supplies the USB-C receiver and USB-A adapter only with the receiver versions of Zone Wireless 2 ES; this native Bluetooth model connects directly over Bluetooth.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eZone Wireless 2 ES ordering information — SourceIT Singapore\u003c\/strong\u003e\u003c\/p\u003e\n\u003ctable class=\"pd-spec\"\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eZone Wireless 2 ES — Microsoft Teams, native Bluetooth (this listing)\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e981-001513 — Graphite, no USB receiver\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003ca href=\"\/products\/logitech-zone-wireless-2-es-ms-w-dongle-anc-headset-981-001494\"\u003eZone Wireless 2 ES — Microsoft Teams, with USB-C receiver\u003c\/a\u003e\u003c\/td\u003e\n\u003ctd\u003e981-001494 — Graphite\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003ca href=\"\/products\/logitech-zone-wireless-2-es-uc-w-dongle-anc-headset-981-001499\"\u003eZone Wireless 2 ES — UC, with USB-C receiver\u003c\/a\u003e\u003c\/td\u003e\n\u003ctd\u003e981-001499 — Graphite\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eZone Wireless 2 ES — Microsoft Teams, with receiver, Off-white\u003c\/td\u003e\n\u003ctd\u003e981-001594 — Indent order\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eZone Wireless 2 ES — Microsoft Teams, with receiver, Rose\u003c\/td\u003e\n\u003ctd\u003e981-001595 — Indent order\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\n\u003c\/div\u003e\u003c\/details\u003e\n\u003cdetails class=\"pd-acc\"\u003e\u003csummary style=\"cursor: pointer; font-weight: 700;\"\u003eDatasheet \u0026amp; Downloads\u003c\/summary\u003e\u003cdiv class=\"pd-acc-body\"\u003e\n\u003cp\u003eOfficial Logitech documentation for the Zone Wireless 2 ES for Business. Links open in a new tab.\u003c\/p\u003e\n\u003ctable class=\"pd-spec\"\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eOfficial datasheet (PDF)\u003c\/td\u003e\n\u003ctd\u003e\u003ca href=\"https:\/\/www.logitech.com\/content\/dam\/logitech\/en\/video-collaboration\/pdf\/zone-wireless-2-es-for-business-datasheet.pdf\" target=\"_blank\" rel=\"noopener\"\u003eLogitech Zone Wireless 2 ES for Business datasheet\u003c\/a\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eLogitech spec hub\u003c\/td\u003e\n\u003ctd\u003e\u003ca href=\"https:\/\/hub.sync.logitech.com\/zone-wireless-2-es\/post\/specifications---zone-wireless-2-es-for-business-57sEBMFh1xfUCNL\" target=\"_blank\" rel=\"noopener\"\u003eSpecifications on hub.sync.logitech.com\u003c\/a\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eProduct \u0026amp; support page\u003c\/td\u003e\n\u003ctd\u003e\u003ca href=\"https:\/\/www.logitech.com\/en-us\/products\/headsets\/zone-wireless-2-es-business.html\" target=\"_blank\" rel=\"noopener\"\u003eZone Wireless 2 ES for Business on logitech.com\u003c\/a\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\n\u003cp\u003eSourceIT supplies all Logitech business audio in Singapore with a GST invoice and local warranty support. For volume pricing, deployment or trade-in quotations, contact our team at sales@sourceit.com.sg.\u003c\/p\u003e\n\u003c\/div\u003e\u003c\/details\u003e\n\u003cdetails class=\"pd-acc\"\u003e\u003csummary style=\"cursor: pointer; font-weight: 700;\"\u003eFrequently Asked Questions — Logitech Zone Wireless 2 ES\u003c\/summary\u003e\u003cdiv class=\"pd-acc-body\"\u003e\n\u003cp\u003e\u003cstrong\u003eWhat does “native Bluetooth” mean on this model?\u003c\/strong\u003e\u003cbr\u003eIt means the headset pairs straight to a laptop, tablet or phone over Bluetooth with no USB dongle. Logitech confirms the USB receiver is supplied only with the receiver versions of Zone Wireless 2 ES. If you need a receiver, order \u003ca href=\"\/products\/logitech-zone-wireless-2-es-ms-w-dongle-anc-headset-981-001494\"\u003e981-001494 (Teams)\u003c\/a\u003e or \u003ca href=\"\/products\/logitech-zone-wireless-2-es-uc-w-dongle-anc-headset-981-001499\"\u003e981-001499 (UC)\u003c\/a\u003e.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eIs it certified for Microsoft Teams without a dongle?\u003c\/strong\u003e\u003cbr\u003eYes. Logitech certifies Zone Wireless 2 ES for Microsoft Teams as a Premium Microphone for Open Office and over native Bluetooth. It is also a Zoom-certified native Bluetooth headset and supports call controls over native Bluetooth for Google Meet.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eHow much battery life does it actually deliver?\u003c\/strong\u003e\u003cbr\u003eUp to 20 hours of talk time with ANC on and up to 25 hours with ANC off; up to 25 \/ 48 hours of listening time. A full charge takes 2 hours and a 5-minute quick charge gives up to 1 hour of talk time.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eHow is ES different from the original Zone Wireless 2?\u003c\/strong\u003e\u003cbr\u003eZone Wireless 2 ES moves to Bluetooth 5.3, adds adaptive hybrid ANC with 5 modes and Mic EQ, drops to 212 g, and raises rated battery life to 20 \/ 25 hours talk. The \u003ca href=\"\/products\/logitech-zone-wireless-2-headset-bluetooth-teams-graphite\"\u003eoriginal Zone Wireless 2 (981-001437)\u003c\/a\u003e uses a 5-microphone array with Bluetooth 5.2 and 15 \/ 18 hours talk time.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eWhich colours and variants are available?\u003c\/strong\u003e\u003cbr\u003eGraphite is the standard Singapore stocking colour across the native Bluetooth (981-001513), Teams receiver (981-001494) and UC receiver (981-001499) builds. Off-white (981-001594) and Rose (981-001595) Teams receiver versions are available as indent orders — contact SourceIT for lead times.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eCan it be repaired rather than replaced?\u003c\/strong\u003e\u003cbr\u003eYes. The battery, headset strap and earpads are all user replaceable without tools, and the headset is TCO Certified with a stated 8.2 kg CO2e carbon footprint.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eDoes this headset come with a warranty in Singapore?\u003c\/strong\u003e\u003cbr\u003eYes. Every Zone Wireless 2 ES sold by SourceIT comes with 2 years local Singapore warranty and a GST invoice.\u003c\/p\u003e\n\u003c\/div\u003e\u003c\/details\u003e\n\u003cp\u003e\u003ciframe width=\"560\" height=\"315\" src=\"https:\/\/www.youtube.com\/embed\/2zbfkOn6FLc?si=yA1kfwHysITDfhQK\" title=\"YouTube video player\"\u003e\u003c\/iframe\u003e\u003c\/p\u003e\n\u003c\/div\u003e","brand":"Logitech","offers":[{"title":"Default Title","offer_id":51168862830756,"sku":"981-001513","price":235.0,"currency_code":"SGD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0605\/0136\/0804\/files\/logitech-zone-wireless-2-es-uc-wdongle-anc-headset-981-001499-1896942.jpg?v=1761823995"},{"product_id":"logitech-zone-wireless-2-es-ms-w-dongle-anc-headset-981-001494","title":"Logitech Zone Wireless 2 ES MS with Dongle ANC Headset","description":"\u003cdiv\u003e\n\u003cstyle\u003e\n.pd-acc { border: 1px solid #e2e2e2; border-radius: 8px; margin: 10px 0; overflow: hidden; }\n.pd-acc summary { cursor: pointer; padding: 14px 16px; font-weight: 700; font-size: 1.05em; list-style: none; display: flex; justify-content: space-between; align-items: center; background: #f7f7f7; }\n.pd-acc[open] \u003e summary { border-bottom: 1px solid #e2e2e2; }\n.pd-acc summary::-webkit-details-marker { display: none; }\n.pd-acc summary::after { content: \"+\"; font-size: 1.4em; font-weight: 400; line-height: 1; margin-left: 12px; }\n.pd-acc[open] \u003e summary::after { content: \"\\2212\"; }\n.pd-acc .pd-acc-body { padding: 8px 16px 14px; }\n.pd-spec, .pd-spec tr, .pd-spec td { border: none !important; background: transparent !important; }\n.pd-spec { width: 100%; border-collapse: collapse !important; margin: 6px 0 18px; }\n.pd-spec td { padding: 7px 10px 7px 0 !important; border-bottom: 1px solid #ececec !important; vertical-align: top; font-size: 0.95em; text-align: left; }\n.pd-spec td:first-child { width: 38%; font-weight: 600; color: #333; }\n.pd-spec tr:last-child td { border-bottom: none !important; }\n\u003c\/style\u003e\n\u003ch2\u003e\u003cstrong\u003eLogitech Zone Wireless 2 ES MS with Dongle ANC Headset (981-001494) - 2 Years Local Warranty\u003c\/strong\u003e\u003c\/h2\u003e\n\u003ch3\u003e\u003cstrong\u003eMicrosoft Teams Certified ANC Headset with USB-C Receiver\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp\u003eThe Logitech Zone Wireless 2 ES MS (981-001494) is the Microsoft Teams build of Logitech’s current flagship business headset, supplied with a USB-C receiver and USB-A adapter. It is certified for Microsoft Teams as a Premium Microphone for Open Office and over native Bluetooth, making it a clean standardisation choice for Singapore enterprises on Teams.\u003c\/p\u003e\n\u003ch3\u003e\u003cstrong\u003eAdaptive Hybrid ANC with Five Selectable Modes\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp\u003eAdaptive hybrid ANC adjusts cancellation to the environment in real time, with five modes covering ANC high, ANC low, ANC adaptive, Transparency on, and ANC and Transparency off. Custom 40 mm drivers deliver a 20 Hz – 20 kHz music response at 97 dB ±3 dB sensitivity and 36 Ohm impedance.\u003c\/p\u003e\n\u003ch3\u003e\u003cstrong\u003eFour-Microphone System with Mic EQ\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp\u003eThree omni-directional MEMS microphones and a unidirectional ECM microphone feed two AI-driven noise-cancelling mics, with a 100 Hz – 10 kHz microphone response. Mic EQ gives users three outbound voice profiles — brighter, deeper or neutral — without an IT ticket.\u003c\/p\u003e\n\u003ch3\u003e\u003cstrong\u003eDeterministic Enterprise Connectivity and Sync Management\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp\u003eThe bundled USB-C receiver gives IT a consistent connection across mixed laptop and docking-station estates, while Bluetooth 5.3 multipoint keeps a laptop and phone live together at up to 50 m. Logitech Sync handles silent firmware updates and fleet inventory; Logi Tune covers personal settings.\u003c\/p\u003e\n\u003cdetails class=\"pd-acc\"\u003e\u003csummary style=\"cursor: pointer; font-weight: 700;\"\u003eLogitech Zone Wireless 2 ES Datasheet — Technical Specifications\u003c\/summary\u003e\u003cdiv class=\"pd-acc-body\"\u003e\n\u003ch4\u003eGeneral\u003c\/h4\u003e\n\u003ctable class=\"pd-spec\"\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eModel\u003c\/td\u003e\n\u003ctd\u003eZone Wireless 2 ES for Business (Microsoft Teams, with USB-C receiver)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePart Number\u003c\/td\u003e\n\u003ctd\u003e981-001494 (Asia Pacific)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eProduct Type\u003c\/td\u003e\n\u003ctd\u003eWireless adaptive-ANC business headset\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eWearing Style\u003c\/td\u003e\n\u003ctd\u003eOver-ear, stereo (binaural)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eColour\u003c\/td\u003e\n\u003ctd\u003eGraphite\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eWarranty\u003c\/td\u003e\n\u003ctd\u003e2 Years Local Warranty (Singapore)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\n\u003ch4\u003eAudio\u003c\/h4\u003e\n\u003ctable class=\"pd-spec\"\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eSpeaker Drivers\u003c\/td\u003e\n\u003ctd\u003eCustom-designed 40 mm speakers with enhanced ANC and bass performance\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eFrequency Response (music)\u003c\/td\u003e\n\u003ctd\u003e20 Hz – 20 kHz\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eFrequency Response (talk)\u003c\/td\u003e\n\u003ctd\u003e100 Hz – 8 kHz\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eSensitivity\u003c\/td\u003e\n\u003ctd\u003e97 dB ±3 dB @ 1 kHz\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eImpedance\u003c\/td\u003e\n\u003ctd\u003e36 Ohm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMaximum SPL\u003c\/td\u003e\n\u003ctd\u003e95 dB\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eAudio Codecs\u003c\/td\u003e\n\u003ctd\u003eSBC, AAC\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMicrophone Array\u003c\/td\u003e\n\u003ctd\u003e3 omni-directional MEMS microphones and 1 unidirectional ECM microphone\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eNoise-Cancelling Mics\u003c\/td\u003e\n\u003ctd\u003e2 noise-cancelling mics with AI-based algorithms and Mic EQ\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMicrophone Frequency Response\u003c\/td\u003e\n\u003ctd\u003e100 Hz – 10 kHz\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMic EQ\u003c\/td\u003e\n\u003ctd\u003e3 modes — brighter, deeper, neutral\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eNoise Cancellation\u003c\/td\u003e\n\u003ctd\u003eAdaptive hybrid active noise cancellation (ANC)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eANC Modes\u003c\/td\u003e\n\u003ctd\u003e5 modes — ANC high, ANC low, ANC adaptive, Transparency on, ANC and Transparency off\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eAcoustic Compliance\u003c\/td\u003e\n\u003ctd\u003eEN 50332-2 compliant; G616 compliant\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\n\u003ch4\u003eConnectivity\u003c\/h4\u003e\n\u003ctable class=\"pd-spec\"\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eBluetooth\u003c\/td\u003e\n\u003ctd\u003eBluetooth 5.3 (Bluetooth Low Energy enabled)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eWireless Range\u003c\/td\u003e\n\u003ctd\u003eUp to 50 m (170 ft) open field, line of sight\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eUSB Receiver\u003c\/td\u003e\n\u003ctd\u003eUSB-C receiver with USB-C to USB-A adapter included\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMultipoint\u003c\/td\u003e\n\u003ctd\u003e2 active connections and up to 8 stored connections\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCharging Port\u003c\/td\u003e\n\u003ctd\u003eUSB-C\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\n\u003ch4\u003eBattery\u003c\/h4\u003e\n\u003ctable class=\"pd-spec\"\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eBattery Type\u003c\/td\u003e\n\u003ctd\u003eBuilt-in lithium-ion, user replaceable\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eTalk Time\u003c\/td\u003e\n\u003ctd\u003eUp to 20 hrs with ANC on; up to 25 hrs with ANC off\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eListening Time\u003c\/td\u003e\n\u003ctd\u003eUp to 25 hrs with ANC on; up to 48 hrs with ANC off\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eFull Charge\u003c\/td\u003e\n\u003ctd\u003e2 hrs\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eQuick Charge\u003c\/td\u003e\n\u003ctd\u003e5-minute quick charge = up to 1 hr of talk time (ANC off)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\n\u003ch4\u003eDesign \u0026amp; Power\u003c\/h4\u003e\n\u003ctable class=\"pd-spec\"\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eHeadset Dimensions\u003c\/td\u003e\n\u003ctd\u003e185.2 x 183.6 x 73.0 mm (7.29 x 7.23 x 2.87 in)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eHeadset Weight\u003c\/td\u003e\n\u003ctd\u003e212 g (7.48 oz)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eUSB-C Receiver Dimensions\u003c\/td\u003e\n\u003ctd\u003e26.8 x 12.4 x 6.2 mm (1.06 x 0.49 x 0.24 in)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eRecycled Content\u003c\/td\u003e\n\u003ctd\u003eHeadset plastic: minimum 50% post-consumer recycled material (57% on Graphite); battery: 100% post-consumer recycled cobalt; magnets: 100% post-consumer recycled rare earth metal; travel bag: 100% recycled plastic\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCarbon Footprint\u003c\/td\u003e\n\u003ctd\u003e8.2 kg CO2e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePackaging\u003c\/td\u003e\n\u003ctd\u003eFSC-certified paper packaging\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eSustainability Certification\u003c\/td\u003e\n\u003ctd\u003eTCO Certified\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eServiceability\u003c\/td\u003e\n\u003ctd\u003eReplaceable battery, headset strap and earpads — no tools required\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\n\u003c\/div\u003e\u003c\/details\u003e\n\u003cdetails class=\"pd-acc\"\u003e\u003csummary style=\"cursor: pointer; font-weight: 700;\"\u003eCompatibility \u0026amp; Software Support\u003c\/summary\u003e\u003cdiv class=\"pd-acc-body\"\u003e\n\u003ch4\u003ePlatforms \u0026amp; Certifications\u003c\/h4\u003e\n\u003ctable class=\"pd-spec\"\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eMicrosoft Teams\u003c\/td\u003e\n\u003ctd\u003eCertified as a Premium Microphone for Open Office and over native Bluetooth\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eZoom\u003c\/td\u003e\n\u003ctd\u003eZoom-certified native Bluetooth headset\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eGoogle Meet \/ Google Voice\u003c\/td\u003e\n\u003ctd\u003eCertified; supports call controls over native Bluetooth for Google Meet\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eFast Pair \/ Swift Pair\u003c\/td\u003e\n\u003ctd\u003eCertified for Fast Pair; supports Swift Pair\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eIntel vPro\u003c\/td\u003e\n\u003ctd\u003eCertified\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\n\u003ch4\u003eOperating Systems \u0026amp; Software\u003c\/h4\u003e\n\u003ctable class=\"pd-spec\"\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eOperating Systems\u003c\/td\u003e\n\u003ctd\u003eWindows, macOS, ChromeOS, iOS, Android\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eLogi Tune\u003c\/td\u003e\n\u003ctd\u003eAvailable for Windows, macOS, iOS and Android — ANC and Mic EQ modes, personal settings and firmware updates\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eLogitech Sync\u003c\/td\u003e\n\u003ctd\u003eCentralised device management and silent firmware updates for IT\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\n\u003c\/div\u003e\u003c\/details\u003e\n\u003cdetails class=\"pd-acc\"\u003e\u003csummary style=\"cursor: pointer; font-weight: 700;\"\u003ePackage Contents \u0026amp; Zone Wireless 2 ES Ordering Information\u003c\/summary\u003e\u003cdiv class=\"pd-acc-body\"\u003e\n\u003cp\u003e\u003cstrong\u003eIn the box\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eOne Zone Wireless 2 ES for Business headset\u003c\/li\u003e\n\u003cli\u003eOne USB-C receiver\u003c\/li\u003e\n\u003cli\u003eOne USB-C to USB-A adapter\u003c\/li\u003e\n\u003cli\u003eOne USB-C charging cable\u003c\/li\u003e\n\u003cli\u003eOne travel bag\u003c\/li\u003e\n\u003cli\u003eUser documentation\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cstrong\u003eZone Wireless 2 ES ordering information — SourceIT Singapore\u003c\/strong\u003e\u003c\/p\u003e\n\u003ctable class=\"pd-spec\"\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003ca href=\"\/products\/logitech-zone-wireless-2-es-native-bluetooth-anc-headset-981-001513\"\u003eZone Wireless 2 ES — Microsoft Teams, native Bluetooth\u003c\/a\u003e\u003c\/td\u003e\n\u003ctd\u003e981-001513 — Graphite, no USB receiver\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eZone Wireless 2 ES — Microsoft Teams, with USB-C receiver (this listing)\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e981-001494 — Graphite\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003ca href=\"\/products\/logitech-zone-wireless-2-es-uc-w-dongle-anc-headset-981-001499\"\u003eZone Wireless 2 ES — UC, with USB-C receiver\u003c\/a\u003e\u003c\/td\u003e\n\u003ctd\u003e981-001499 — Graphite\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eZone Wireless 2 ES — Microsoft Teams, with receiver, Off-white\u003c\/td\u003e\n\u003ctd\u003e981-001594 — Indent order\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eZone Wireless 2 ES — Microsoft Teams, with receiver, Rose\u003c\/td\u003e\n\u003ctd\u003e981-001595 — Indent order\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\n\u003c\/div\u003e\u003c\/details\u003e\n\u003cdetails class=\"pd-acc\"\u003e\u003csummary style=\"cursor: pointer; font-weight: 700;\"\u003eDatasheet \u0026amp; Downloads\u003c\/summary\u003e\u003cdiv class=\"pd-acc-body\"\u003e\n\u003cp\u003eOfficial Logitech documentation for the Zone Wireless 2 ES for Business. Links open in a new tab.\u003c\/p\u003e\n\u003ctable class=\"pd-spec\"\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eOfficial datasheet (PDF)\u003c\/td\u003e\n\u003ctd\u003e\u003ca href=\"https:\/\/www.logitech.com\/content\/dam\/logitech\/en\/video-collaboration\/pdf\/zone-wireless-2-es-for-business-datasheet.pdf\" target=\"_blank\" rel=\"noopener\"\u003eLogitech Zone Wireless 2 ES for Business datasheet\u003c\/a\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eLogitech spec hub\u003c\/td\u003e\n\u003ctd\u003e\u003ca href=\"https:\/\/hub.sync.logitech.com\/zone-wireless-2-es\/post\/specifications---zone-wireless-2-es-for-business-57sEBMFh1xfUCNL\" target=\"_blank\" rel=\"noopener\"\u003eSpecifications on hub.sync.logitech.com\u003c\/a\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eProduct \u0026amp; support page\u003c\/td\u003e\n\u003ctd\u003e\u003ca href=\"https:\/\/www.logitech.com\/en-us\/products\/headsets\/zone-wireless-2-es-business.html\" target=\"_blank\" rel=\"noopener\"\u003eZone Wireless 2 ES for Business on logitech.com\u003c\/a\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\n\u003cp\u003eSourceIT supplies all Logitech business audio in Singapore with a GST invoice and local warranty support. For volume pricing, deployment or trade-in quotations, contact our team at sales@sourceit.com.sg.\u003c\/p\u003e\n\u003c\/div\u003e\u003c\/details\u003e\n\u003cdetails class=\"pd-acc\"\u003e\u003csummary style=\"cursor: pointer; font-weight: 700;\"\u003eFrequently Asked Questions — Logitech Zone Wireless 2 ES\u003c\/summary\u003e\u003cdiv class=\"pd-acc-body\"\u003e\n\u003cp\u003e\u003cstrong\u003eWhat is the difference between 981-001494 and 981-001499?\u003c\/strong\u003e\u003cbr\u003e981-001494 is the Microsoft Teams build and \u003ca href=\"\/products\/logitech-zone-wireless-2-es-uc-w-dongle-anc-headset-981-001499\"\u003e981-001499\u003c\/a\u003e is the UC build. Both include the USB-C receiver and USB-A adapter and share identical hardware and certifications; order the Teams SKU where Microsoft Teams is the corporate standard.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eDo I need the receiver at all?\u003c\/strong\u003e\u003cbr\u003eNot necessarily. Zone Wireless 2 ES is certified for Microsoft Teams over native Bluetooth, and the \u003ca href=\"\/products\/logitech-zone-wireless-2-es-native-bluetooth-anc-headset-981-001513\"\u003ereceiver-free model (981-001513)\u003c\/a\u003e is available for dongle-free deployments. The receiver is useful where IT wants a consistent, deterministic connection across mixed laptop and dock estates.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eHow many microphones does it have?\u003c\/strong\u003e\u003cbr\u003eFour in total: three omni-directional MEMS microphones plus one unidirectional ECM microphone. Two of them are noise-cancelling mics running AI-based algorithms, which is what earns the Microsoft Teams Premium Microphone for Open Office certification.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eWhat battery life should staff expect?\u003c\/strong\u003e\u003cbr\u003eUp to 20 hours of talk time with ANC on, up to 25 hours with ANC off, and up to 25 \/ 48 hours of listening. Full charge is 2 hours; a 5-minute quick charge returns up to 1 hour of talk time.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eHow does it compare with Zone Wireless 2 and Zone 305?\u003c\/strong\u003e\u003cbr\u003eZone Wireless 2 ES is the current flagship — Bluetooth 5.3, adaptive hybrid ANC, 212 g, up to 48 hours listening. The \u003ca href=\"\/products\/logitech-zone-wireless-2-ms-stereo-anc-bluetooth-headset-981-001153\"\u003eoriginal Zone Wireless 2 (981-001153)\u003c\/a\u003e uses a 5-mic array on Bluetooth 5.2. The \u003ca href=\"\/products\/logitech-zone-305-wireless-bluetooth-headset-ms-teams-981-001447\"\u003eZone 305 (981-001447)\u003c\/a\u003e is the 122 g volume-deployment option without ANC.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eCan it connect to a laptop and a phone at the same time?\u003c\/strong\u003e\u003cbr\u003eYes — 2 active connections with up to 8 stored connections over Bluetooth 5.3, with up to 50 m of open-field range.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eDoes this headset come with a warranty in Singapore?\u003c\/strong\u003e\u003cbr\u003eYes. Every Zone Wireless 2 ES sold by SourceIT comes with 2 years local Singapore warranty and a GST invoice.\u003c\/p\u003e\n\u003c\/div\u003e\u003c\/details\u003e\n\u003cp\u003e\u003ciframe width=\"560\" height=\"315\" src=\"https:\/\/www.youtube.com\/embed\/2zbfkOn6FLc?si=yA1kfwHysITDfhQK\" title=\"YouTube video player\"\u003e\u003c\/iframe\u003e\u003c\/p\u003e\n\u003c\/div\u003e","brand":"Logitech","offers":[{"title":"Default Title","offer_id":51168863420580,"sku":"981-001494","price":245.0,"currency_code":"SGD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0605\/0136\/0804\/files\/logitech-zone-wireless-2-es-uc-wdongle-anc-headset-981-001499-1896942.jpg?v=1761823995"},{"product_id":"logitech-zone-wireless-2-es-uc-w-dongle-anc-headset-981-001499","title":"Logitech Zone Wireless 2 ES UC with Dongle ANC Headset","description":"\u003cdiv\u003e\n\u003cstyle\u003e\n.pd-acc { border: 1px solid #e2e2e2; border-radius: 8px; margin: 10px 0; overflow: hidden; }\n.pd-acc summary { cursor: pointer; padding: 14px 16px; font-weight: 700; font-size: 1.05em; list-style: none; display: flex; justify-content: space-between; align-items: center; background: #f7f7f7; }\n.pd-acc[open] \u003e summary { border-bottom: 1px solid #e2e2e2; }\n.pd-acc summary::-webkit-details-marker { display: none; }\n.pd-acc summary::after { content: \"+\"; font-size: 1.4em; font-weight: 400; line-height: 1; margin-left: 12px; }\n.pd-acc[open] \u003e summary::after { content: \"\\2212\"; }\n.pd-acc .pd-acc-body { padding: 8px 16px 14px; }\n.pd-spec, .pd-spec tr, .pd-spec td { border: none !important; background: transparent !important; }\n.pd-spec { width: 100%; border-collapse: collapse !important; margin: 6px 0 18px; }\n.pd-spec td { padding: 7px 10px 7px 0 !important; border-bottom: 1px solid #ececec !important; vertical-align: top; font-size: 0.95em; text-align: left; }\n.pd-spec td:first-child { width: 38%; font-weight: 600; color: #333; }\n.pd-spec tr:last-child td { border-bottom: none !important; }\n\u003c\/style\u003e\n\u003ch2\u003e\u003cstrong\u003eLogitech Zone Wireless 2 ES UC with Dongle ANC Headset (981-001499) - 2 Years Local Warranty\u003c\/strong\u003e\u003c\/h2\u003e\n\u003ch3\u003e\u003cstrong\u003eUC Wireless ANC Headset for Zoom, Google Meet and Mixed-Platform Fleets\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp\u003eThe Logitech Zone Wireless 2 ES UC (981-001499) is the universal-communications build of Logitech’s current flagship business headset, supplied with a USB-C receiver and USB-A adapter. It is a Zoom-certified native Bluetooth headset and is also certified for Google Meet, Google Voice and Microsoft Teams — one SKU that covers every platform a Singapore business is likely to run.\u003c\/p\u003e\n\u003ch3\u003e\u003cstrong\u003eAdaptive Hybrid ANC and Custom 40 mm Drivers\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp\u003eAdaptive hybrid ANC tracks the environment and offers five modes: ANC high, ANC low, ANC adaptive, Transparency on, and ANC and Transparency off. Custom 40 mm drivers deliver 20 Hz – 20 kHz music response with 97 dB ±3 dB sensitivity, 36 Ohm impedance and a 95 dB maximum SPL.\u003c\/p\u003e\n\u003ch3\u003e\u003cstrong\u003ePremium Open-Office Microphone Performance\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp\u003eA four-microphone system — three omni-directional MEMS plus one unidirectional ECM — drives two AI-based noise-cancelling mics that meet Microsoft’s Premium Microphone for Open Office requirement. Mic EQ offers brighter, deeper and neutral voice profiles.\u003c\/p\u003e\n\u003ch3\u003e\u003cstrong\u003eUp to 48 Hours of Listening, Built to Last\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp\u003eRated at up to 20 hours of talk and up to 48 hours of listening, in a 212 g build made with a minimum 50% post-consumer recycled plastic, 100% recycled cobalt in the battery and 100% recycled rare earth in the magnets. TCO Certified, FSC packaging, and a battery, strap and earpads that are all replaceable without tools.\u003c\/p\u003e\n\u003cdetails class=\"pd-acc\"\u003e\u003csummary style=\"cursor: pointer; font-weight: 700;\"\u003eLogitech Zone Wireless 2 ES Datasheet — Technical Specifications\u003c\/summary\u003e\u003cdiv class=\"pd-acc-body\"\u003e\n\u003ch4\u003eGeneral\u003c\/h4\u003e\n\u003ctable class=\"pd-spec\"\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eModel\u003c\/td\u003e\n\u003ctd\u003eZone Wireless 2 ES for Business (UC, with USB-C receiver)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePart Number\u003c\/td\u003e\n\u003ctd\u003e981-001499 (Asia Pacific)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eProduct Type\u003c\/td\u003e\n\u003ctd\u003eWireless adaptive-ANC business headset\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eWearing Style\u003c\/td\u003e\n\u003ctd\u003eOver-ear, stereo (binaural)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eColour\u003c\/td\u003e\n\u003ctd\u003eGraphite\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eWarranty\u003c\/td\u003e\n\u003ctd\u003e2 Years Local Warranty (Singapore)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\n\u003ch4\u003eAudio\u003c\/h4\u003e\n\u003ctable class=\"pd-spec\"\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eSpeaker Drivers\u003c\/td\u003e\n\u003ctd\u003eCustom-designed 40 mm speakers with enhanced ANC and bass performance\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eFrequency Response (music)\u003c\/td\u003e\n\u003ctd\u003e20 Hz – 20 kHz\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eFrequency Response (talk)\u003c\/td\u003e\n\u003ctd\u003e100 Hz – 8 kHz\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eSensitivity\u003c\/td\u003e\n\u003ctd\u003e97 dB ±3 dB @ 1 kHz\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eImpedance\u003c\/td\u003e\n\u003ctd\u003e36 Ohm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMaximum SPL\u003c\/td\u003e\n\u003ctd\u003e95 dB\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eAudio Codecs\u003c\/td\u003e\n\u003ctd\u003eSBC, AAC\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMicrophone Array\u003c\/td\u003e\n\u003ctd\u003e3 omni-directional MEMS microphones and 1 unidirectional ECM microphone\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eNoise-Cancelling Mics\u003c\/td\u003e\n\u003ctd\u003e2 noise-cancelling mics with AI-based algorithms and Mic EQ\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMicrophone Frequency Response\u003c\/td\u003e\n\u003ctd\u003e100 Hz – 10 kHz\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMic EQ\u003c\/td\u003e\n\u003ctd\u003e3 modes — brighter, deeper, neutral\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eNoise Cancellation\u003c\/td\u003e\n\u003ctd\u003eAdaptive hybrid active noise cancellation (ANC)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eANC Modes\u003c\/td\u003e\n\u003ctd\u003e5 modes — ANC high, ANC low, ANC adaptive, Transparency on, ANC and Transparency off\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eAcoustic Compliance\u003c\/td\u003e\n\u003ctd\u003eEN 50332-2 compliant; G616 compliant\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\n\u003ch4\u003eConnectivity\u003c\/h4\u003e\n\u003ctable class=\"pd-spec\"\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eBluetooth\u003c\/td\u003e\n\u003ctd\u003eBluetooth 5.3 (Bluetooth Low Energy enabled)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eWireless Range\u003c\/td\u003e\n\u003ctd\u003eUp to 50 m (170 ft) open field, line of sight\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eUSB Receiver\u003c\/td\u003e\n\u003ctd\u003eUSB-C receiver with USB-C to USB-A adapter included\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMultipoint\u003c\/td\u003e\n\u003ctd\u003e2 active connections and up to 8 stored connections\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCharging Port\u003c\/td\u003e\n\u003ctd\u003eUSB-C\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\n\u003ch4\u003eBattery\u003c\/h4\u003e\n\u003ctable class=\"pd-spec\"\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eBattery Type\u003c\/td\u003e\n\u003ctd\u003eBuilt-in lithium-ion, user replaceable\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eTalk Time\u003c\/td\u003e\n\u003ctd\u003eUp to 20 hrs with ANC on; up to 25 hrs with ANC off\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eListening Time\u003c\/td\u003e\n\u003ctd\u003eUp to 25 hrs with ANC on; up to 48 hrs with ANC off\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eFull Charge\u003c\/td\u003e\n\u003ctd\u003e2 hrs\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eQuick Charge\u003c\/td\u003e\n\u003ctd\u003e5-minute quick charge = up to 1 hr of talk time (ANC off)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\n\u003ch4\u003eDesign \u0026amp; Power\u003c\/h4\u003e\n\u003ctable class=\"pd-spec\"\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eHeadset Dimensions\u003c\/td\u003e\n\u003ctd\u003e185.2 x 183.6 x 73.0 mm (7.29 x 7.23 x 2.87 in)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eHeadset Weight\u003c\/td\u003e\n\u003ctd\u003e212 g (7.48 oz)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eUSB-C Receiver Dimensions\u003c\/td\u003e\n\u003ctd\u003e26.8 x 12.4 x 6.2 mm (1.06 x 0.49 x 0.24 in)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eRecycled Content\u003c\/td\u003e\n\u003ctd\u003eHeadset plastic: minimum 50% post-consumer recycled material (57% on Graphite); battery: 100% post-consumer recycled cobalt; magnets: 100% post-consumer recycled rare earth metal; travel bag: 100% recycled plastic\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCarbon Footprint\u003c\/td\u003e\n\u003ctd\u003e8.2 kg CO2e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePackaging\u003c\/td\u003e\n\u003ctd\u003eFSC-certified paper packaging\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eSustainability Certification\u003c\/td\u003e\n\u003ctd\u003eTCO Certified\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eServiceability\u003c\/td\u003e\n\u003ctd\u003eReplaceable battery, headset strap and earpads — no tools required\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\n\u003c\/div\u003e\u003c\/details\u003e\n\u003cdetails class=\"pd-acc\"\u003e\u003csummary style=\"cursor: pointer; font-weight: 700;\"\u003eCompatibility \u0026amp; Software Support\u003c\/summary\u003e\u003cdiv class=\"pd-acc-body\"\u003e\n\u003ch4\u003ePlatforms \u0026amp; Certifications\u003c\/h4\u003e\n\u003ctable class=\"pd-spec\"\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eMicrosoft Teams\u003c\/td\u003e\n\u003ctd\u003eCertified as a Premium Microphone for Open Office and over native Bluetooth\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eZoom\u003c\/td\u003e\n\u003ctd\u003eZoom-certified native Bluetooth headset\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eGoogle Meet \/ Google Voice\u003c\/td\u003e\n\u003ctd\u003eCertified; supports call controls over native Bluetooth for Google Meet\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eFast Pair \/ Swift Pair\u003c\/td\u003e\n\u003ctd\u003eCertified for Fast Pair; supports Swift Pair\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eIntel vPro\u003c\/td\u003e\n\u003ctd\u003eCertified\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\n\u003ch4\u003eOperating Systems \u0026amp; Software\u003c\/h4\u003e\n\u003ctable class=\"pd-spec\"\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eOperating Systems\u003c\/td\u003e\n\u003ctd\u003eWindows, macOS, ChromeOS, iOS, Android\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eLogi Tune\u003c\/td\u003e\n\u003ctd\u003eAvailable for Windows, macOS, iOS and Android — ANC and Mic EQ modes, personal settings and firmware updates\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eLogitech Sync\u003c\/td\u003e\n\u003ctd\u003eCentralised device management and silent firmware updates for IT\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\n\u003c\/div\u003e\u003c\/details\u003e\n\u003cdetails class=\"pd-acc\"\u003e\u003csummary style=\"cursor: pointer; font-weight: 700;\"\u003ePackage Contents \u0026amp; Zone Wireless 2 ES Ordering Information\u003c\/summary\u003e\u003cdiv class=\"pd-acc-body\"\u003e\n\u003cp\u003e\u003cstrong\u003eIn the box\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eOne Zone Wireless 2 ES for Business headset\u003c\/li\u003e\n\u003cli\u003eOne USB-C receiver\u003c\/li\u003e\n\u003cli\u003eOne USB-C to USB-A adapter\u003c\/li\u003e\n\u003cli\u003eOne USB-C charging cable\u003c\/li\u003e\n\u003cli\u003eOne travel bag\u003c\/li\u003e\n\u003cli\u003eUser documentation\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cstrong\u003eZone Wireless 2 ES ordering information — SourceIT Singapore\u003c\/strong\u003e\u003c\/p\u003e\n\u003ctable class=\"pd-spec\"\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003ca href=\"\/products\/logitech-zone-wireless-2-es-native-bluetooth-anc-headset-981-001513\"\u003eZone Wireless 2 ES — Microsoft Teams, native Bluetooth\u003c\/a\u003e\u003c\/td\u003e\n\u003ctd\u003e981-001513 — Graphite, no USB receiver\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003ca href=\"\/products\/logitech-zone-wireless-2-es-ms-w-dongle-anc-headset-981-001494\"\u003eZone Wireless 2 ES — Microsoft Teams, with USB-C receiver\u003c\/a\u003e\u003c\/td\u003e\n\u003ctd\u003e981-001494 — Graphite\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eZone Wireless 2 ES — UC, with USB-C receiver (this listing)\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e981-001499 — Graphite\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eZone Wireless 2 ES — Microsoft Teams, with receiver, Off-white\u003c\/td\u003e\n\u003ctd\u003e981-001594 — Indent order\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eZone Wireless 2 ES — Microsoft Teams, with receiver, Rose\u003c\/td\u003e\n\u003ctd\u003e981-001595 — Indent order\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\n\u003c\/div\u003e\u003c\/details\u003e\n\u003cdetails class=\"pd-acc\"\u003e\u003csummary style=\"cursor: pointer; font-weight: 700;\"\u003eDatasheet \u0026amp; Downloads\u003c\/summary\u003e\u003cdiv class=\"pd-acc-body\"\u003e\n\u003cp\u003eOfficial Logitech documentation for the Zone Wireless 2 ES for Business. Links open in a new tab.\u003c\/p\u003e\n\u003ctable class=\"pd-spec\"\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eOfficial datasheet (PDF)\u003c\/td\u003e\n\u003ctd\u003e\u003ca href=\"https:\/\/www.logitech.com\/content\/dam\/logitech\/en\/video-collaboration\/pdf\/zone-wireless-2-es-for-business-datasheet.pdf\" target=\"_blank\" rel=\"noopener\"\u003eLogitech Zone Wireless 2 ES for Business datasheet\u003c\/a\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eLogitech spec hub\u003c\/td\u003e\n\u003ctd\u003e\u003ca href=\"https:\/\/hub.sync.logitech.com\/zone-wireless-2-es\/post\/specifications---zone-wireless-2-es-for-business-57sEBMFh1xfUCNL\" target=\"_blank\" rel=\"noopener\"\u003eSpecifications on hub.sync.logitech.com\u003c\/a\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eProduct \u0026amp; support page\u003c\/td\u003e\n\u003ctd\u003e\u003ca href=\"https:\/\/www.logitech.com\/en-us\/products\/headsets\/zone-wireless-2-es-business.html\" target=\"_blank\" rel=\"noopener\"\u003eZone Wireless 2 ES for Business on logitech.com\u003c\/a\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\n\u003cp\u003eSourceIT supplies all Logitech business audio in Singapore with a GST invoice and local warranty support. For volume pricing, deployment or trade-in quotations, contact our team at sales@sourceit.com.sg.\u003c\/p\u003e\n\u003c\/div\u003e\u003c\/details\u003e\n\u003cdetails class=\"pd-acc\"\u003e\u003csummary style=\"cursor: pointer; font-weight: 700;\"\u003eFrequently Asked Questions — Logitech Zone Wireless 2 ES\u003c\/summary\u003e\u003cdiv class=\"pd-acc-body\"\u003e\n\u003cp\u003e\u003cstrong\u003eWhich platforms is the UC version certified for?\u003c\/strong\u003e\u003cbr\u003eLogitech certifies Zone Wireless 2 ES for Zoom (as a Zoom-certified native Bluetooth headset), Google Meet, Google Voice, Fast Pair and Intel vPro, and for Microsoft Teams as a Premium Microphone for Open Office and over native Bluetooth. The UC SKU is the one to order for mixed-platform or Zoom\/Meet-first environments.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eWhat is the difference between the UC and MS builds?\u003c\/strong\u003e\u003cbr\u003eThe hardware is identical. 981-001499 is the UC build; \u003ca href=\"\/products\/logitech-zone-wireless-2-es-ms-w-dongle-anc-headset-981-001494\"\u003e981-001494\u003c\/a\u003e is the Microsoft Teams build. Both ship with the USB-C receiver and USB-A adapter.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eIs there a version without the dongle?\u003c\/strong\u003e\u003cbr\u003eYes — the \u003ca href=\"\/products\/logitech-zone-wireless-2-es-native-bluetooth-anc-headset-981-001513\"\u003enative Bluetooth model (981-001513)\u003c\/a\u003e, which connects directly over Bluetooth with no receiver.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eHow long does the battery last?\u003c\/strong\u003e\u003cbr\u003eUp to 20 hours of talk time with ANC on, up to 25 hours with ANC off, and up to 25 \/ 48 hours of listening time. Full charge takes 2 hours; 5 minutes of charging returns up to 1 hour of talk time.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eHow does it compare with Zone True Wireless earbuds?\u003c\/strong\u003e\u003cbr\u003eZone Wireless 2 ES is the all-day over-ear option with adaptive ANC and up to 48 hours of listening. The \u003ca href=\"\/products\/logitech-zone-true-wireless-bluetooth-earbuds-985-001091\"\u003eZone True Wireless earbuds (985-001091)\u003c\/a\u003e trade battery life (up to 5 hours talk per charge) for pocketability and are the better fit for mobile staff who move between sites.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eDoes it support connecting to two devices at once?\u003c\/strong\u003e\u003cbr\u003eYes. Bluetooth 5.3 multipoint supports 2 active connections and up to 8 stored connections, with up to 50 m of open-field range.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eDoes this headset come with a warranty in Singapore?\u003c\/strong\u003e\u003cbr\u003eYes. Every Zone Wireless 2 ES sold by SourceIT comes with 2 years local Singapore warranty and a GST invoice.\u003c\/p\u003e\n\u003c\/div\u003e\u003c\/details\u003e\n\u003cp\u003e\u003ciframe width=\"560\" height=\"315\" src=\"https:\/\/www.youtube.com\/embed\/2zbfkOn6FLc?si=yA1kfwHysITDfhQK\" title=\"YouTube video player\"\u003e\u003c\/iframe\u003e\u003c\/p\u003e\n\u003c\/div\u003e","brand":"Logitech","offers":[{"title":"Default Title","offer_id":51168863813796,"sku":"981-001499","price":245.0,"currency_code":"SGD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0605\/0136\/0804\/files\/logitech-zone-wireless-2-es-uc-wdongle-anc-headset-981-001499-1896942.jpg?v=1761823995"},{"product_id":"asus-qsfp-cable-for-asus-ascent-gx10-40cm-asu-90ma0000-p01000","title":"ASUS QSFP Cable for ASUS Ascent GX10 40cm","description":"\u003ch2\u003e\n\u003cstrong\u003eASUS QSFP Cable for ASUS Ascent GX10 40cm (ASU-90MA0000-P01000) - Local Warranty\u003c\/strong\u003e\n\u003c\/h2\u003e\n\u003ch3 data-start=\"120\" data-end=\"452\"\u003e\u003cstrong data-start=\"142\" data-end=\"202\"\u003eHigh-Performance QSFP Cable for ASUS Ascent GX10 Systems\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp data-start=\"120\" data-end=\"452\"\u003eThe \u003cstrong data-start=\"209\" data-end=\"276\"\u003eASUS QSFP Cable for ASUS Ascent GX10 40cm (ASU-90MA0000-P01000)\u003c\/strong\u003e is engineered to deliver reliable high-bandwidth connectivity for enterprise and AI computing environments. Designed specifically for compatibility with ASUS Ascent GX10 platforms, this short-range QSFP interconnect cable ensures stable, low-latency data transmission between components in high-performance computing infrastructures. Its precision design supports demanding workloads where consistent throughput and minimal signal loss are critical for optimal system performance.\u003c\/p\u003e\n\u003ch3 data-start=\"120\" data-end=\"452\"\u003e\u003cstrong data-start=\"760\" data-end=\"824\"\u003eOptimised Connectivity for AI and High-Performance Computing\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp data-start=\"120\" data-end=\"452\"\u003eBuilt to support modern AI training workloads, GPU compute clusters, and data-intensive applications, the ASUS QSFP cable enables seamless communication between networking interfaces and computing nodes. The 40cm length is ideal for rack-mounted systems, helping maintain clean cable management while reducing signal interference. This ensures efficient data exchange in environments such as AI research labs, enterprise data centres, and advanced computing deployments.\u003c\/p\u003e\n\u003ch3 data-start=\"120\" data-end=\"452\"\u003e\u003cstrong data-start=\"1300\" data-end=\"1356\"\u003eReliable Signal Integrity and Enterprise-Grade Build\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp data-start=\"120\" data-end=\"452\"\u003eThe cable is manufactured using high-quality materials to maintain signal integrity across high-speed connections. Its robust QSFP connectors provide secure locking and stable connections even in dense server environments. The durable construction is designed to withstand continuous operation in professional IT environments, ensuring dependable performance for mission-critical infrastructure.\u003c\/p\u003e\n\u003ch3 data-start=\"120\" data-end=\"452\"\u003e\u003cstrong data-start=\"1757\" data-end=\"1811\"\u003eCompact 40cm Design for Efficient Rack Integration\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp data-start=\"120\" data-end=\"452\"\u003eWith a carefully engineered \u003cstrong data-start=\"1842\" data-end=\"1863\"\u003e40cm cable length\u003c\/strong\u003e, this ASUS QSFP cable helps maintain tidy rack layouts and optimal airflow in server cabinets. Short-reach interconnect cables like this are commonly used within AI servers and networking equipment where minimal cable slack improves cooling efficiency and simplifies maintenance. This makes it an ideal accessory for high-density AI clusters and enterprise compute systems built around ASUS hardware platforms.\u003c\/p\u003e\n\u003ch3 data-start=\"120\" data-end=\"452\"\u003e\u003cstrong data-start=\"2277\" data-end=\"2337\"\u003eSeamless Integration with ASUS Enterprise Infrastructure\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp data-start=\"120\" data-end=\"452\"\u003eWhen deploying advanced computing platforms such as the ASUS Ascent GX10, reliable interconnects are essential for maintaining consistent system performance. This dedicated QSFP cable ensures full compatibility with ASUS hardware ecosystems, enabling IT teams to build scalable and efficient compute environments. Whether deployed in research institutions, enterprise AI labs, or HPC clusters, it supports the connectivity backbone required for next-generation computing workloads.\u003ciframe width=\"560\" height=\"315\" src=\"https:\/\/www.youtube.com\/embed\/ASm_Cg5txOI?si=NwZBr8flFQ39APye\" title=\"YouTube video player\" style=\"font-size: 0.875rem;\"\u003e\u003c\/iframe\u003e\u003c\/p\u003e\n\u003ch3 data-start=\"1481\" data-end=\"1789\"\u003e\u003cstrong data-start=\"1481\" data-end=\"1508\"\u003eTechnical Specification\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp data-start=\"95\" data-end=\"342\"\u003e\u003cstrong data-start=\"95\" data-end=\"106\"\u003eGeneral\u003c\/strong\u003e\u003cbr data-start=\"106\" data-end=\"109\"\u003e• Product Name: ASUS QSFP Cable for ASUS Ascent GX10\u003cbr data-start=\"161\" data-end=\"164\"\u003e• Model Number: ASU-90MA0000-P01000\u003cbr data-start=\"199\" data-end=\"202\"\u003e• Manufacturer: ASUS\u003cbr data-start=\"222\" data-end=\"225\"\u003e• Product Type: High-speed DAC interconnect cable\u003cbr data-start=\"274\" data-end=\"277\"\u003e• Category: AI system \/ HPC \/ GPU server connectivity accessory\u003c\/p\u003e\n\u003cp data-start=\"344\" data-end=\"642\"\u003e\u003cstrong data-start=\"344\" data-end=\"367\"\u003eCable Specification\u003c\/strong\u003e\u003cbr data-start=\"367\" data-end=\"370\"\u003e• Cable Type: QSFP112 Direct Attach Copper (DAC) Cable\u003cbr data-start=\"424\" data-end=\"427\"\u003e• Connector Type: QSFP112 to QSFP112\u003cbr data-start=\"463\" data-end=\"466\"\u003e• Cable Length: 40 cm\u003cbr data-start=\"487\" data-end=\"490\"\u003e• Bandwidth: Up to 400 Gbps\u003cbr data-start=\"517\" data-end=\"520\"\u003e• Data Rate per Lane: 112 Gbps PAM-4 signaling\u003cbr data-start=\"566\" data-end=\"569\"\u003e• Medium: Copper DAC cable\u003cbr data-start=\"595\" data-end=\"598\"\u003e• Form Factor: Pluggable QSFP module cable\u003c\/p\u003e\n\u003cp data-start=\"644\" data-end=\"869\"\u003e\u003cstrong data-start=\"644\" data-end=\"661\"\u003eCompatibility\u003c\/strong\u003e\u003cbr data-start=\"661\" data-end=\"664\"\u003e• Designed For: ASUS Ascent GX10 AI Supercomputer\u003cbr data-start=\"713\" data-end=\"716\"\u003e• Compatible Systems: AI compute clusters, GPU servers, HPC nodes\u003cbr data-start=\"781\" data-end=\"784\"\u003e• Usage: GPU interconnect, node-to-node connectivity, high-speed data communication\u003c\/p\u003e\n\u003cp data-start=\"871\" data-end=\"1128\"\u003e\u003cstrong data-start=\"871\" data-end=\"886\"\u003ePerformance\u003c\/strong\u003e\u003cbr data-start=\"886\" data-end=\"889\"\u003e• Ultra-high bandwidth connectivity up to 400Gbps\u003cbr data-start=\"938\" data-end=\"941\"\u003e• Low latency communication for AI workloads\u003cbr data-start=\"985\" data-end=\"988\"\u003e• Optimized for distributed computing and GPU cluster environments\u003cbr data-start=\"1054\" data-end=\"1057\"\u003e• High-speed networking support for modern data center infrastructure\u003c\/p\u003e\n\u003cp data-start=\"1130\" data-end=\"1332\"\u003e\u003cstrong data-start=\"1130\" data-end=\"1155\"\u003eApplication Scenarios\u003c\/strong\u003e\u003cbr data-start=\"1155\" data-end=\"1158\"\u003e• AI model training infrastructure\u003cbr data-start=\"1192\" data-end=\"1195\"\u003e• High-performance computing clusters\u003cbr data-start=\"1232\" data-end=\"1235\"\u003e• GPU server interconnects\u003cbr data-start=\"1261\" data-end=\"1264\"\u003e• Data center networking\u003cbr data-start=\"1288\" data-end=\"1291\"\u003e• Short-distance rack-level connections\u003c\/p\u003e\n\u003cp data-start=\"1334\" data-end=\"1545\"\u003e\u003cstrong data-start=\"1334\" data-end=\"1352\"\u003eDesign \u0026amp; Build\u003c\/strong\u003e\u003cbr data-start=\"1352\" data-end=\"1355\"\u003e• Enterprise-grade cable construction\u003cbr data-start=\"1392\" data-end=\"1395\"\u003e• Shielded copper cable for signal integrity\u003cbr data-start=\"1439\" data-end=\"1442\"\u003e• Secure QSFP connectors for stable connection\u003cbr data-start=\"1488\" data-end=\"1491\"\u003e• Compact 40cm cable optimized for rack environments\u003c\/p\u003e\n\u003cp data-start=\"1547\" data-end=\"1824\" data-is-last-node=\"\" data-is-only-node=\"\"\u003e\u003cstrong data-start=\"1547\" data-end=\"1563\"\u003eKey Features\u003c\/strong\u003e\u003cbr data-start=\"1563\" data-end=\"1566\"\u003e• High-bandwidth 400G connectivity\u003cbr data-start=\"1600\" data-end=\"1603\"\u003e• Low latency communication for AI and HPC workloads\u003cbr data-start=\"1655\" data-end=\"1658\"\u003e• Compact cable length for rack deployments\u003cbr data-start=\"1701\" data-end=\"1704\"\u003e• Reliable high-speed interconnect for GPU compute systems\u003cbr data-start=\"1762\" data-end=\"1765\"\u003e• Designed specifically for ASUS Ascent GX10 infrastructure\u003c\/p\u003e","brand":"Asus","offers":[{"title":"Default Title","offer_id":51174052004004,"sku":"ASU-90MA0000-P01000","price":120.0,"currency_code":"SGD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0605\/0136\/0804\/files\/NVIDIAQSFP112400GDACCABLE40CM.webp?v=1762399304"},{"product_id":"gigabyte-ai-top-atom-personal-ai-computer-4tb","title":"Gigabyte AI TOP ATOM Personal AI Computer 4TB (PCIe5.0)","description":"\u003ch2\u003e\n\u003cstrong\u003eGigabyte AI TOP ATOM Personal AI Computer 4TB (GB10 \/ 128GB LPDDR5x \/ \u003cspan style=\"color: rgb(255, 42, 0);\"\u003ePCIe5.0\u003c\/span\u003e 1400 4TB NVMe M.2 SSD \/ NVIDIA DGX™ OS, Ubuntu Linux (ATAGB10-9000) - 3 Year Local Warranty \u003c\/strong\u003e\n\u003c\/h2\u003e\n\u003cp data-start=\"1731\" data-end=\"2325\" data-is-last-node=\"\" data-is-only-node=\"\"\u003e\u003ciframe title=\"YouTube video player\" src=\"https:\/\/www.youtube.com\/embed\/Sd2Ie68OD_o?si=s0psw3fnKrfzFmAM\" height=\"315\" width=\"560\"\u003e\u003c\/iframe\u003e\u003c\/p\u003e\n\u003ch3 data-end=\"267\" data-start=\"205\"\u003e\u003cstrong data-end=\"265\" data-start=\"205\"\u003ePersonal AI Supercomputer for Developers and Researchers\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp data-end=\"735\" data-start=\"269\"\u003eThe Gigabyte AI TOP ATOM Personal AI Computer 4TB (ATAGB10-9000) is a cutting-edge AI computing platform designed for developers, researchers, data scientists, and organizations looking to run advanced artificial intelligence workloads locally. Powered by the NVIDIA GB10 architecture and equipped with 128GB LPDDR5x unified memory, this compact AI system enables users to develop, test, and deploy AI applications without relying entirely on cloud infrastructure.\u003c\/p\u003e\n\u003ch3 data-end=\"796\" data-start=\"737\"\u003e\u003cstrong data-end=\"794\" data-start=\"737\"\u003eOptimized for Generative AI and Large Language Models\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp data-end=\"1205\" data-start=\"798\"\u003eBuilt for modern AI workloads, the Gigabyte AI TOP ATOM supports large language models (LLMs), generative AI, machine learning, deep learning, computer vision, and AI-assisted software development. The powerful architecture provides the performance required for local inference, model fine-tuning, AI experimentation, and advanced research projects while maintaining low latency and enhanced data privacy.\u003c\/p\u003e\n\u003ch3 data-end=\"1259\" data-start=\"1207\"\u003e\u003cstrong data-end=\"1257\" data-start=\"1207\"\u003eHigh-Speed Memory and Storage for AI Workloads\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp data-end=\"1647\" data-start=\"1261\"\u003eFeaturing 128GB LPDDR5x memory and a PCIe 5.0 4TB NVMe M.2 SSD, the system delivers exceptional responsiveness for handling large datasets, AI models, and complex computational tasks. The high-capacity storage allows users to maintain extensive AI libraries, training datasets, development environments, and enterprise applications while benefiting from ultra-fast data access speeds.\u003c\/p\u003e\n\u003ch3 data-end=\"1702\" data-start=\"1649\"\u003e\u003cstrong data-end=\"1700\" data-start=\"1649\"\u003eEnterprise-Ready AI Platform with NVIDIA DGX OS\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp data-end=\"2073\" data-start=\"1704\"\u003ePreloaded with NVIDIA DGX™ OS based on Ubuntu Linux, the Gigabyte AI TOP ATOM provides an optimized software environment for AI development and deployment. The platform is designed to support modern AI frameworks, data science tools, and machine learning workflows, helping users accelerate innovation while maintaining a stable and efficient development environment.\u003c\/p\u003e\n\u003ch3 data-end=\"2117\" data-start=\"2075\"\u003e\u003cstrong data-end=\"2115\" data-start=\"2075\"\u003eTechnical Specifications \u003c\/strong\u003e\u003c\/h3\u003e\n\u003cdiv data-is-intersecting=\"true\" data-turn-id-container=\"request-WEB:1eef009e-1c68-42b2-857a-adf7e87e4f85-212\" class=\"\"\u003e\n\u003csection data-turn=\"assistant\" data-scroll-anchor=\"false\" data-testid=\"conversation-turn-40\" data-turn-id-container=\"request-WEB:1eef009e-1c68-42b2-857a-adf7e87e4f85-212\" data-turn-id=\"request-WEB:1eef009e-1c68-42b2-857a-adf7e87e4f85-212\" dir=\"auto\" class=\"text-token-text-primary w-full focus:outline-none has-data-writing-block:pointer-events-none [\u0026amp;:has([data-writing-block])\u0026gt;*]:pointer-events-auto R6Vx5W_threadScrollVars scroll-mb-[calc(var(--scroll-root-safe-area-inset-bottom,0px)+var(--thread-response-height))] scroll-mt-[calc(var(--header-height)+min(200px,max(70px,20svh)))]\"\u003e\n\u003cdiv class=\"text-base my-auto mx-auto pb-10 [--thread-content-margin:var(--thread-content-margin-xs,calc(var(--spacing)*4))] @w-sm\/main:[--thread-content-margin:var(--thread-content-margin-sm,calc(var(--spacing)*6))] @w-lg\/main:[--thread-content-margin:var(--thread-content-margin-lg,calc(var(--spacing)*16))] px-(--thread-content-margin)\"\u003e\n\u003cdiv class=\"[--thread-content-max-width:40rem] @w-lg\/main:[--thread-content-max-width:48rem] mx-auto max-w-(--thread-content-max-width) flex-1 group\/turn-messages focus-visible:outline-hidden relative flex w-full min-w-0 flex-col agent-turn\"\u003e\n\u003cdiv class=\"flex max-w-full flex-col gap-4 grow\"\u003e\n\u003cdiv data-turn-start-message=\"true\" class=\"min-h-8 text-message relative flex w-full flex-col items-end gap-2 text-start break-words whitespace-normal outline-none keyboard-focused:focus-ring [.text-message+\u0026amp;]:mt-1\" data-message-model-slug=\"gpt-5-5\" dir=\"auto\" data-message-id=\"523928d6-527f-4f23-9c73-521a539e8457\" data-message-author-role=\"assistant\" tabindex=\"0\"\u003e\n\u003cdiv class=\"flex w-full flex-col gap-1 empty:hidden\"\u003e\n\u003cdiv class=\"markdown prose dark:prose-invert wrap-break-word w-full light markdown-new-styling\"\u003e\n\u003cp data-end=\"632\" data-start=\"0\"\u003e\u003cstrong data-end=\"11\" data-start=\"0\"\u003eGeneral\u003c\/strong\u003e\u003cbr data-end=\"14\" data-start=\"11\"\u003eModel: AI TOP ATOM Personal AI Computer\u003cbr data-end=\"56\" data-start=\"53\"\u003ePart Number: ATAGB10-9000\u003cbr data-end=\"84\" data-start=\"81\"\u003eProduct Name: Gigabyte AI TOP ATOM Personal AI Computer 4TB\u003cbr data-end=\"146\" data-start=\"143\"\u003eManufacturer: \u003cspan class=\"hover:entity-accent entity-underline inline cursor-pointer align-baseline\"\u003e\u003cspan class=\"whitespace-normal\"\u003eGigabyte Technology\u003c\/span\u003e\u003c\/span\u003e\u003cbr data-end=\"200\" data-start=\"197\"\u003eProduct Type: Personal AI Supercomputer\u003cbr data-end=\"242\" data-start=\"239\"\u003ePlatform: NVIDIA GB10 Grace Blackwell Superchip\u003cbr data-end=\"292\" data-start=\"289\"\u003eForm Factor: Compact Desktop AI Workstation\u003cbr data-end=\"338\" data-start=\"335\"\u003eOperating System: NVIDIA DGX™ OS, Ubuntu Linux\u003cbr data-end=\"387\" data-start=\"384\"\u003eTarget Users: AI Developers, Researchers, Data Scientists, Universities, Enterprise AI Teams\u003cbr data-end=\"482\" data-start=\"479\"\u003eDeployment Type: AI Development, LLM Inference, Generative AI, Edge AI, Machine Learning\u003cbr data-end=\"573\" data-start=\"570\"\u003eWarranty: Manufacturer Warranty (Configuration Dependent)\u003c\/p\u003e\n\u003cp data-end=\"991\" data-start=\"634\"\u003e\u003cstrong data-end=\"662\" data-start=\"634\"\u003eProcessor Specifications\u003c\/strong\u003e\u003cbr data-end=\"665\" data-start=\"662\"\u003eProcessor Platform: NVIDIA GB10 Grace Blackwell Superchip\u003cbr data-end=\"725\" data-start=\"722\"\u003eCPU Architecture: NVIDIA Grace ARM Architecture\u003cbr data-end=\"775\" data-start=\"772\"\u003eCPU Configuration: 20-Core CPU\u003cbr data-end=\"808\" data-start=\"805\"\u003eCPU Design: 10× Cortex-X925 + 10× Cortex-A725\u003cbr data-end=\"856\" data-start=\"853\"\u003eCPU Performance: Optimized for AI and High-Performance Computing Workloads\u003cbr data-end=\"933\" data-start=\"930\"\u003eMemory Bandwidth: High-Speed Unified Memory Architecture\u003c\/p\u003e\n\u003cp data-end=\"1376\" data-start=\"993\"\u003e\u003cstrong data-end=\"1015\" data-start=\"993\"\u003eGPU Specifications\u003c\/strong\u003e\u003cbr data-end=\"1018\" data-start=\"1015\"\u003eGPU Architecture: NVIDIA Blackwell GPU\u003cbr data-end=\"1059\" data-start=\"1056\"\u003eTensor Core Generation: Latest NVIDIA Tensor Cores\u003cbr data-end=\"1112\" data-start=\"1109\"\u003eRay Tracing Cores: Supported\u003cbr data-end=\"1143\" data-start=\"1140\"\u003eAI Performance: Up to 1 PetaFLOP AI Compute (FP4)\u003cbr data-end=\"1195\" data-start=\"1192\"\u003eCUDA Support: Supported\u003cbr data-end=\"1221\" data-start=\"1218\"\u003eTensorRT Support: Supported\u003cbr data-end=\"1251\" data-start=\"1248\"\u003eNVIDIA AI Software Stack: Supported\u003cbr data-end=\"1289\" data-start=\"1286\"\u003eGenerative AI Workloads: Supported\u003cbr data-end=\"1326\" data-start=\"1323\"\u003eLarge Language Model (LLM) Processing: Supported\u003c\/p\u003e\n\u003cp data-end=\"1636\" data-start=\"1378\"\u003e\u003cstrong data-end=\"1403\" data-start=\"1378\"\u003eMemory Specifications\u003c\/strong\u003e\u003cbr data-end=\"1406\" data-start=\"1403\"\u003eMemory Capacity: 128 GB\u003cbr data-end=\"1432\" data-start=\"1429\"\u003eMemory Type: LPDDR5x Unified Memory\u003cbr data-end=\"1470\" data-start=\"1467\"\u003eMemory Architecture: Shared CPU-GPU Unified Memory\u003cbr data-end=\"1523\" data-start=\"1520\"\u003eMemory Bandwidth: Up to 273 GB\/s\u003cbr data-end=\"1558\" data-start=\"1555\"\u003eECC Support: Supported\u003cbr data-end=\"1583\" data-start=\"1580\"\u003eAI Model Capacity: Supports Large AI Models Locally\u003c\/p\u003e\n\u003cp data-end=\"1870\" data-start=\"1638\"\u003e\u003cstrong data-end=\"1664\" data-start=\"1638\"\u003eStorage Specifications\u003c\/strong\u003e\u003cbr data-end=\"1667\" data-start=\"1664\"\u003eInstalled Storage: 4 TB\u003cbr data-end=\"1693\" data-start=\"1690\"\u003eStorage Type: PCIe Gen5 NVMe M.2 SSD\u003cbr data-end=\"1732\" data-start=\"1729\"\u003eSSD Interface: PCIe 5.0\u003cbr data-end=\"1758\" data-start=\"1755\"\u003eStorage Expansion: Configuration Dependent\u003cbr data-end=\"1803\" data-start=\"1800\"\u003eHigh-Speed Data Access: Supported\u003cbr data-end=\"1839\" data-start=\"1836\"\u003eAI Dataset Storage: Supported\u003c\/p\u003e\n\u003cp data-end=\"2258\" data-start=\"1872\"\u003e\u003cstrong data-end=\"1906\" data-start=\"1872\"\u003eAI \u0026amp; Machine Learning Features\u003c\/strong\u003e\u003cbr data-end=\"1909\" data-start=\"1906\"\u003eLarge Language Model (LLM) Support: Supported\u003cbr data-end=\"1957\" data-start=\"1954\"\u003eGenerative AI Development: Supported\u003cbr data-end=\"1996\" data-start=\"1993\"\u003eRetrieval-Augmented Generation (RAG): Supported\u003cbr data-end=\"2046\" data-start=\"2043\"\u003eFine-Tuning Workloads: Supported\u003cbr data-end=\"2081\" data-start=\"2078\"\u003eInference Workloads: Supported\u003cbr data-end=\"2114\" data-start=\"2111\"\u003eAI Agent Development: Supported\u003cbr data-end=\"2148\" data-start=\"2145\"\u003eDeep Learning Framework Support: Supported\u003cbr data-end=\"2193\" data-start=\"2190\"\u003eLocal AI Computing: Supported\u003cbr data-end=\"2225\" data-start=\"2222\"\u003eEdge AI Applications: Supported\u003c\/p\u003e\n\u003cp data-end=\"2635\" data-start=\"2260\"\u003e\u003cstrong data-end=\"2294\" data-start=\"2260\"\u003eSoftware \u0026amp; Development Support\u003c\/strong\u003e\u003cbr data-end=\"2297\" data-start=\"2294\"\u003eOperating System: NVIDIA DGX™ OS\u003cbr data-end=\"2332\" data-start=\"2329\"\u003eSecondary OS Support: Ubuntu Linux\u003cbr data-end=\"2369\" data-start=\"2366\"\u003eCUDA Toolkit: Supported\u003cbr data-end=\"2395\" data-start=\"2392\"\u003eNVIDIA TensorRT: Supported\u003cbr data-end=\"2424\" data-start=\"2421\"\u003eNVIDIA NIM Microservices: Supported\u003cbr data-end=\"2462\" data-start=\"2459\"\u003eDocker Containers: Supported\u003cbr data-end=\"2493\" data-start=\"2490\"\u003eKubernetes: Supported\u003cbr data-end=\"2517\" data-start=\"2514\"\u003ePython Development: Supported\u003cbr data-end=\"2549\" data-start=\"2546\"\u003eAI Framework Support:\u003cbr data-end=\"2573\" data-start=\"2570\"\u003e• PyTorch\u003cbr data-end=\"2585\" data-start=\"2582\"\u003e• TensorFlow\u003cbr data-end=\"2600\" data-start=\"2597\"\u003e• JAX\u003cbr data-end=\"2608\" data-start=\"2605\"\u003e• ONNX Runtime\u003cbr data-is-only-node=\"\" data-end=\"2625\" data-start=\"2622\"\u003e• RAPIDS\u003c\/p\u003e\n\u003cp data-end=\"2838\" data-start=\"2637\"\u003e\u003cstrong data-end=\"2666\" data-start=\"2637\"\u003eNetworking Specifications\u003c\/strong\u003e\u003cbr data-end=\"2669\" data-start=\"2666\"\u003eEthernet: 10 Gigabit Ethernet (10GbE)\u003cbr data-end=\"2709\" data-start=\"2706\"\u003eWireless Connectivity: Wi-Fi 7\u003cbr data-end=\"2742\" data-start=\"2739\"\u003eBluetooth: Bluetooth 5.x\u003cbr data-end=\"2769\" data-start=\"2766\"\u003eHigh-Speed Networking: Supported\u003cbr data-end=\"2804\" data-start=\"2801\"\u003eRemote AI Development: Supported\u003c\/p\u003e\n\u003cp data-end=\"3052\" data-start=\"2840\"\u003e\u003cstrong data-end=\"2864\" data-start=\"2840\"\u003eConnectivity \u0026amp; Ports\u003c\/strong\u003e\u003cbr data-end=\"2867\" data-start=\"2864\"\u003eUSB Type-C Ports: Supported\u003cbr data-end=\"2897\" data-start=\"2894\"\u003eUSB Type-A Ports: Supported\u003cbr data-end=\"2927\" data-start=\"2924\"\u003eHDMI Output: Supported\u003cbr data-end=\"2952\" data-start=\"2949\"\u003eDisplay Connectivity: Supported\u003cbr data-end=\"2986\" data-start=\"2983\"\u003eRJ-45 Ethernet Port: Supported\u003cbr data-end=\"3019\" data-start=\"3016\"\u003ePeripheral Expansion: Supported\u003c\/p\u003e\n\u003cp data-end=\"3230\" data-start=\"3054\"\u003e\u003cstrong data-end=\"3075\" data-start=\"3054\"\u003eSecurity Features\u003c\/strong\u003e\u003cbr data-end=\"3078\" data-start=\"3075\"\u003eSecure Boot: Supported\u003cbr data-end=\"3103\" data-start=\"3100\"\u003eEncrypted Storage Support: Supported\u003cbr data-end=\"3142\" data-start=\"3139\"\u003eEnterprise Security Features: Supported\u003cbr data-end=\"3184\" data-start=\"3181\"\u003eOperating System Security Updates: Supported\u003c\/p\u003e\n\u003cp data-end=\"3384\" data-start=\"3232\"\u003e\u003cstrong data-end=\"3256\" data-start=\"3232\"\u003ePower Specifications\u003c\/strong\u003e\u003cbr data-end=\"3259\" data-start=\"3256\"\u003ePower Efficiency: Optimized for Desktop AI Computing\u003cbr data-end=\"3314\" data-start=\"3311\"\u003ePower Supply: Included\u003cbr data-end=\"3339\" data-start=\"3336\"\u003eEnergy Efficient AI Architecture: Supported\u003c\/p\u003e\n\u003cp data-end=\"3572\" data-start=\"3386\"\u003e\u003cstrong data-end=\"3412\" data-start=\"3386\"\u003eCooling Specifications\u003c\/strong\u003e\u003cbr data-end=\"3415\" data-start=\"3412\"\u003eCooling System: Advanced Active Cooling\u003cbr data-end=\"3457\" data-start=\"3454\"\u003eThermal Optimization: Supported\u003cbr data-end=\"3491\" data-start=\"3488\"\u003eAI Workload Cooling Design: Supported\u003cbr data-end=\"3531\" data-start=\"3528\"\u003eContinuous Operation Support: Supported\u003c\/p\u003e\n\u003cp data-end=\"3921\" data-start=\"3574\"\u003e\u003cstrong data-end=\"3597\" data-start=\"3574\"\u003eSupported Workloads\u003c\/strong\u003e\u003cbr data-end=\"3600\" data-start=\"3597\"\u003eAI Model Inference\u003cbr data-end=\"3621\" data-start=\"3618\"\u003eGenerative AI Applications\u003cbr data-end=\"3650\" data-start=\"3647\"\u003eLarge Language Models (LLMs)\u003cbr data-end=\"3681\" data-start=\"3678\"\u003eRetrieval-Augmented Generation (RAG)\u003cbr data-end=\"3720\" data-start=\"3717\"\u003eMachine Learning Development\u003cbr data-end=\"3751\" data-start=\"3748\"\u003eData Science Workloads\u003cbr data-end=\"3776\" data-start=\"3773\"\u003eComputer Vision Applications\u003cbr data-end=\"3807\" data-start=\"3804\"\u003eNatural Language Processing (NLP)\u003cbr data-end=\"3843\" data-start=\"3840\"\u003eAI Agent Development\u003cbr data-end=\"3866\" data-start=\"3863\"\u003eEdge AI Deployments\u003cbr data-end=\"3888\" data-start=\"3885\"\u003eResearch and Academic Computing\u003c\/p\u003e\n\u003cp data-end=\"4151\" data-start=\"3923\"\u003e\u003cstrong data-end=\"3948\" data-start=\"3923\"\u003eDesign \u0026amp; Construction\u003c\/strong\u003e\u003cbr data-end=\"3951\" data-start=\"3948\"\u003eForm Factor: Compact Desktop Workstation\u003cbr data-end=\"3994\" data-start=\"3991\"\u003eChassis Design: AI Computing Optimized\u003cbr data-end=\"4035\" data-start=\"4032\"\u003eDeployment Flexibility: Desktop, Lab, Office, Research Environment\u003cbr data-end=\"4104\" data-start=\"4101\"\u003eConstruction: Enterprise-Grade Compact Design\u003c\/p\u003e\n\u003cp data-end=\"4529\" data-start=\"4153\"\u003e\u003cstrong data-end=\"4165\" data-start=\"4153\"\u003eFeatures\u003c\/strong\u003e\u003cbr data-end=\"4168\" data-start=\"4165\"\u003eNVIDIA GB10 Grace Blackwell Superchip\u003cbr data-end=\"4208\" data-start=\"4205\"\u003e128 GB LPDDR5x Unified Memory\u003cbr data-end=\"4240\" data-start=\"4237\"\u003e4 TB PCIe Gen5 NVMe SSD\u003cbr data-end=\"4266\" data-start=\"4263\"\u003eNVIDIA Blackwell GPU Architecture\u003cbr data-end=\"4302\" data-start=\"4299\"\u003eUp to 1 PetaFLOP AI Performance (FP4)\u003cbr data-end=\"4342\" data-start=\"4339\"\u003eNVIDIA DGX OS Preloaded\u003cbr data-end=\"4368\" data-start=\"4365\"\u003eUbuntu Linux Support\u003cbr data-end=\"4391\" data-start=\"4388\"\u003e10GbE Networking\u003cbr data-end=\"4410\" data-start=\"4407\"\u003eWi-Fi 7 Connectivity\u003cbr data-end=\"4433\" data-start=\"4430\"\u003eCompact Desktop Form Factor\u003cbr data-end=\"4463\" data-start=\"4460\"\u003eEnterprise AI Development Ready\u003cbr data-end=\"4497\" data-start=\"4494\"\u003eLocal AI Processing Capability\u003c\/p\u003e\n\u003cp data-end=\"5094\" data-start=\"4531\"\u003e\u003cstrong data-end=\"4557\" data-start=\"4531\"\u003ePerformance \u0026amp; Features\u003c\/strong\u003e\u003cbr data-end=\"4560\" data-start=\"4557\"\u003eDesigned for local AI development and inference workloads\u003cbr data-end=\"4620\" data-start=\"4617\"\u003eEnables running advanced generative AI models without cloud dependency\u003cbr data-end=\"4693\" data-start=\"4690\"\u003eSupports large-scale language model experimentation and deployment\u003cbr data-end=\"4762\" data-start=\"4759\"\u003eProvides high-bandwidth unified memory architecture for AI workloads\u003cbr data-end=\"4833\" data-start=\"4830\"\u003eOptimized for researchers, developers, and enterprise AI teams\u003cbr data-end=\"4898\" data-start=\"4895\"\u003eSupports modern AI frameworks and NVIDIA software ecosystem\u003cbr data-end=\"4960\" data-start=\"4957\"\u003eOffers workstation-class performance in a compact desktop footprint\u003cbr data-end=\"5030\" data-start=\"5027\"\u003eBuilt for continuous AI computing and development environments\u003c\/p\u003e\n\u003cp data-end=\"5386\" data-start=\"5096\"\u003e\u003cstrong data-end=\"5123\" data-start=\"5096\"\u003ePhysical Specifications\u003c\/strong\u003e\u003cbr data-end=\"5126\" data-start=\"5123\"\u003eForm Factor: Compact Desktop AI Computer\u003cbr data-end=\"5169\" data-start=\"5166\"\u003eProcessor: NVIDIA GB10 Grace Blackwell Superchip\u003cbr data-end=\"5220\" data-start=\"5217\"\u003eMemory: 128 GB LPDDR5x Unified Memory\u003cbr data-end=\"5260\" data-start=\"5257\"\u003eStorage: 4 TB PCIe Gen5 NVMe SSD\u003cbr data-end=\"5295\" data-start=\"5292\"\u003eNetworking: 10GbE, Wi-Fi 7, Bluetooth 5.x\u003cbr data-end=\"5339\" data-start=\"5336\"\u003eOperating System: NVIDIA DGX OS, Ubuntu Linux\u003c\/p\u003e\n\u003cp data-end=\"5575\" data-start=\"5388\"\u003e\u003cstrong data-end=\"5408\" data-start=\"5388\"\u003ePackage Contents\u003c\/strong\u003e\u003cbr data-end=\"5411\" data-start=\"5408\"\u003eGigabyte AI TOP ATOM Personal AI Computer\u003cbr data-end=\"5455\" data-start=\"5452\"\u003ePower Adapter \/ Power Cable\u003cbr data-end=\"5485\" data-start=\"5482\"\u003eQuick Start Guide\u003cbr data-end=\"5505\" data-start=\"5502\"\u003eDocumentation\u003cbr data-end=\"5521\" data-start=\"5518\"\u003ePreloaded NVIDIA DGX OS and Ubuntu Linux Environment\u003c\/p\u003e\n\u003cp data-end=\"6020\" data-start=\"5577\"\u003e\u003cstrong data-end=\"5593\" data-start=\"5577\"\u003eKey Features\u003c\/strong\u003e\u003cbr data-end=\"5596\" data-start=\"5593\"\u003eNVIDIA GB10 Grace Blackwell Superchip\u003cbr data-end=\"5636\" data-start=\"5633\"\u003e128 GB LPDDR5x Unified Memory\u003cbr data-end=\"5668\" data-start=\"5665\"\u003e4 TB PCIe Gen5 NVMe SSD\u003cbr data-end=\"5694\" data-start=\"5691\"\u003eUp to 1 PetaFLOP AI Compute Performance\u003cbr data-end=\"5736\" data-start=\"5733\"\u003eNVIDIA Blackwell GPU Architecture\u003cbr data-end=\"5772\" data-start=\"5769\"\u003eNVIDIA DGX OS Preinstalled\u003cbr data-end=\"5801\" data-start=\"5798\"\u003e10GbE Networking Connectivity\u003cbr data-end=\"5833\" data-start=\"5830\"\u003eWi-Fi 7 and Bluetooth Support\u003cbr data-end=\"5865\" data-start=\"5862\"\u003eGenerative AI and LLM Ready\u003cbr data-end=\"5895\" data-start=\"5892\"\u003eCompact Desktop AI Workstation Design\u003cbr data-end=\"5935\" data-start=\"5932\"\u003eEnterprise and Research AI Development Platform\u003cbr data-end=\"5985\" data-start=\"5982\"\u003eOptimized for Local AI Processing\u003c\/p\u003e\n\u003cp data-end=\"6424\" data-start=\"6022\"\u003e\u003cstrong data-end=\"6043\" data-start=\"6022\"\u003eTypical Use Cases\u003c\/strong\u003e\u003cbr data-end=\"6046\" data-start=\"6043\"\u003eAI Model Development\u003cbr data-end=\"6069\" data-start=\"6066\"\u003eLarge Language Model (LLM) Inference\u003cbr data-end=\"6108\" data-start=\"6105\"\u003eGenerative AI Applications\u003cbr data-end=\"6137\" data-start=\"6134\"\u003eMachine Learning Training and Testing\u003cbr data-end=\"6177\" data-start=\"6174\"\u003eData Science Research\u003cbr data-end=\"6201\" data-start=\"6198\"\u003eUniversity and Academic Research\u003cbr data-end=\"6236\" data-start=\"6233\"\u003eAI Agent Development\u003cbr data-end=\"6259\" data-start=\"6256\"\u003eComputer Vision Projects\u003cbr data-end=\"6286\" data-start=\"6283\"\u003eNatural Language Processing Applications\u003cbr data-end=\"6329\" data-start=\"6326\"\u003eEnterprise AI Prototyping\u003cbr data-end=\"6357\" data-start=\"6354\"\u003eEdge AI Deployments\u003cbr data-end=\"6379\" data-start=\"6376\"\u003eLocal AI Computing Without Cloud Dependency\u003c\/p\u003e\n\u003cp data-is-only-node=\"\" data-is-last-node=\"\" data-end=\"6707\" data-start=\"6426\"\u003e\u003cstrong data-end=\"6450\" data-start=\"6426\"\u003eOrdering Information\u003c\/strong\u003e\u003cbr data-end=\"6453\" data-start=\"6450\"\u003eModel: Gigabyte AI TOP ATOM Personal AI Computer 4TB\u003cbr data-end=\"6508\" data-start=\"6505\"\u003ePart Number: ATAGB10-9000\u003cbr data-end=\"6536\" data-start=\"6533\"\u003eConfiguration: NVIDIA GB10 \/ 128GB LPDDR5x \/ PCIe Gen5 4TB NVMe SSD\u003cbr\u003e\u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/section\u003e\n\u003c\/div\u003e","brand":"Nvidia","offers":[{"title":"Default Title","offer_id":51211369414820,"sku":"ATAGB10-9000","price":9265.0,"currency_code":"SGD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0605\/0136\/0804\/files\/gigabyte-ai-top-atom-personal-ai-computer-4tb-3819840.jpg?v=1767711611"},{"product_id":"msi-edgexpert-personal-ai-supercomputer-4tb","title":"MSI EdgeXpert Personal AI Supercomputer - 4TB","description":"\u003ch2\u003e\u003cstrong\u003eMSI EdgeXpert Personal AI Supercomputer 4TB (ARM 20-core CPU\/AI Blackwell GPU\/128GB LPDDR5x\/4TB\/WiFi 7\/BT 5.3\/NVIDIA DGX OS) (9S6-C9311-61S) - 3 Year Local Warranty \u003c\/strong\u003e\u003c\/h2\u003e\n\u003ch3 data-start=\"193\" data-end=\"249\"\u003e\u003cstrong data-start=\"193\" data-end=\"247\"\u003eExtreme AI Performance with NVIDIA Grace Blackwell\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp data-start=\"251\" data-end=\"681\"\u003eThe MSI EdgeXpert Personal AI Supercomputer is built on the NVIDIA GB10 Grace Blackwell architecture, combining a powerful Blackwell GPU with a 20-core Arm CPU to deliver up to 1000 AI TOPS (FP4) of performance, enabling advanced workloads such as large language model (LLM) training, inference, generative AI pipelines, and real-time data processing directly on a compact desktop system without relying on cloud infrastructure.\u003c\/p\u003e\n\u003ch3 data-start=\"683\" data-end=\"736\"\u003e\u003cstrong data-start=\"683\" data-end=\"734\"\u003eUnified Memory Architecture for Large AI Models\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp data-start=\"738\" data-end=\"1051\"\u003eEquipped with 128GB LPDDR5x unified memory, the system allows seamless data sharing between CPU and GPU through high-speed interconnect, significantly reducing latency and bottlenecks, making it ideal for handling large datasets, complex AI models, and memory-intensive workloads efficiently in a single system.\u003c\/p\u003e\n\u003ch3 data-start=\"1053\" data-end=\"1104\"\u003e\u003cstrong data-start=\"1053\" data-end=\"1102\"\u003eLocal AI Development with Massive Scalability\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp data-start=\"1106\" data-end=\"1410\"\u003eDesigned for enterprise and research environments, the EdgeXpert supports large AI models up to hundreds of billions of parameters and can scale further by linking multiple units together, enabling users to build, fine-tune, and deploy advanced AI systems locally with high performance and flexibility.\u003c\/p\u003e\n\u003ch3 data-start=\"1412\" data-end=\"1471\"\u003e\u003cstrong data-start=\"1412\" data-end=\"1469\"\u003eCompact Form Factor with Data Center-Class Capability\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp data-start=\"1473\" data-end=\"1751\"\u003eDespite delivering near data center-level performance, the system is housed in a compact desktop chassis, making it suitable for office desks, labs, and edge deployments where space is limited, while still providing powerful compute capabilities for demanding AI applications.\u003c\/p\u003e\n\u003ch3 data-start=\"1753\" data-end=\"1800\"\u003e\u003cstrong data-start=\"1753\" data-end=\"1798\"\u003eFull AI Software Stack with NVIDIA DGX OS\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp data-start=\"1802\" data-end=\"2078\"\u003ePreloaded with NVIDIA DGX OS, the system provides a complete AI development environment with support for CUDA, TensorRT, PyTorch, and TensorFlow, allowing developers and enterprises to rapidly develop, test, and deploy AI models with optimized performance and minimal setup.\u003c\/p\u003e\n\u003ch3 data-start=\"2080\" data-end=\"2110\"\u003e\u003cstrong data-start=\"2080\" data-end=\"2108\"\u003eTechnical Specifications\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp data-start=\"144\" data-end=\"430\"\u003e\u003cstrong data-start=\"144\" data-end=\"176\"\u003eProcessor (SoC Architecture)\u003c\/strong\u003e\u003cbr data-start=\"176\" data-end=\"179\"\u003e• NVIDIA GB10 Grace Blackwell Superchip\u003cbr data-start=\"218\" data-end=\"221\"\u003e• 20-core ARM CPU (10 × Cortex-X925 + 10 × Cortex-A725)\u003cbr data-start=\"276\" data-end=\"279\"\u003e• Unified CPU + GPU architecture via NVLink-C2C\u003cbr data-start=\"326\" data-end=\"329\"\u003e• Designed for AI orchestration, preprocessing, and inference \u003cspan class=\"\" data-state=\"closed\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp data-start=\"432\" data-end=\"631\"\u003e\u003cstrong data-start=\"432\" data-end=\"452\"\u003eGPU (AI Compute)\u003c\/strong\u003e\u003cbr data-start=\"452\" data-end=\"455\"\u003e• NVIDIA Blackwell GPU architecture\u003cbr data-start=\"490\" data-end=\"493\"\u003e• 5th Gen Tensor Cores + advanced AI acceleration\u003cbr data-start=\"542\" data-end=\"545\"\u003e• Up to ~1000 AI TOPS (FP4 sparse performance) \u003cspan class=\"\" data-state=\"closed\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp data-start=\"633\" data-end=\"835\"\u003e\u003cstrong data-start=\"633\" data-end=\"666\"\u003eMemory (Unified Architecture)\u003c\/strong\u003e\u003cbr data-start=\"666\" data-end=\"669\"\u003e• 128GB LPDDR5X unified memory\u003cbr data-start=\"699\" data-end=\"702\"\u003e• Shared between CPU + GPU (coherent memory model)\u003cbr data-start=\"752\" data-end=\"755\"\u003e• 256-bit interface, ~273 GB\/s bandwidth \u003cspan class=\"\" data-state=\"closed\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp data-start=\"837\" data-end=\"991\"\u003e\u003cstrong data-start=\"837\" data-end=\"848\"\u003eStorage\u003c\/strong\u003e\u003cbr data-start=\"848\" data-end=\"851\"\u003e• 4TB NVMe M.2 PCIe SSD (self-encrypting)\u003cbr data-start=\"892\" data-end=\"895\"\u003e• High-speed storage for datasets, models, and pipelines \u003cspan class=\"\" data-state=\"closed\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp data-start=\"993\" data-end=\"1335\"\u003e\u003cstrong data-start=\"993\" data-end=\"1024\"\u003eAI Performance \u0026amp; Capability\u003c\/strong\u003e\u003cbr data-start=\"1024\" data-end=\"1027\"\u003e• ~1 petaFLOP AI compute (FP4 class) \u003cspan class=\"\" data-state=\"closed\"\u003e\u003c\/span\u003e\u003cbr data-start=\"1101\" data-end=\"1104\"\u003e• Supports LLMs up to ~200B parameters locally \u003cspan class=\"\" data-state=\"closed\"\u003e\u003c\/span\u003e\u003cbr data-start=\"1188\" data-end=\"1191\"\u003e• Multi-node scaling (2 units) up to ~405B models \u003cspan class=\"\" data-state=\"closed\"\u003e\u003c\/span\u003e\u003cbr data-start=\"1278\" data-end=\"1281\"\u003e• Optimised for training, fine-tuning, and inference\u003c\/p\u003e\n\u003cp data-start=\"1337\" data-end=\"1554\"\u003e\u003cstrong data-start=\"1337\" data-end=\"1368\"\u003eOperating System \u0026amp; AI Stack\u003c\/strong\u003e\u003cbr data-start=\"1368\" data-end=\"1371\"\u003e• NVIDIA DGX OS (pre-installed)\u003cbr data-start=\"1402\" data-end=\"1405\"\u003e• Supports CUDA, TensorRT, PyTorch, TensorFlow, RAPIDS\u003cbr data-start=\"1459\" data-end=\"1462\"\u003e• Seamless scaling to NVIDIA DGX Cloud \/ data centre \u003cspan class=\"\" data-state=\"closed\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp data-start=\"1556\" data-end=\"1736\"\u003e\u003cstrong data-start=\"1556\" data-end=\"1585\"\u003eNetworking \u0026amp; Connectivity\u003c\/strong\u003e\u003cbr data-start=\"1585\" data-end=\"1588\"\u003e• 1 × 10GbE RJ45 LAN\u003cbr data-start=\"1608\" data-end=\"1611\"\u003e• NVIDIA ConnectX-7 Smart NIC (high-speed AI networking)\u003cbr data-start=\"1667\" data-end=\"1670\"\u003e• WiFi 7\u003cbr data-start=\"1678\" data-end=\"1681\"\u003e• Bluetooth 5.3 \u003cspan class=\"\" data-state=\"closed\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp data-start=\"1738\" data-end=\"1876\"\u003e\u003cstrong data-start=\"1738\" data-end=\"1753\"\u003ePorts \u0026amp; I\/O\u003c\/strong\u003e\u003cbr data-start=\"1753\" data-end=\"1756\"\u003e• 4 × USB 3.2 Type-C\u003cbr data-start=\"1776\" data-end=\"1779\"\u003e• 1 × HDMI 2.1a\u003cbr data-start=\"1794\" data-end=\"1797\"\u003e• Multi-display via USB-C DisplayPort \u003cspan class=\"\" data-state=\"closed\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp data-start=\"1878\" data-end=\"2049\"\u003e\u003cstrong data-start=\"1878\" data-end=\"1902\"\u003eForm Factor \u0026amp; Design\u003c\/strong\u003e\u003cbr data-start=\"1902\" data-end=\"1905\"\u003e• Ultra-compact desktop AI system (~1.2L chassis)\u003cbr data-start=\"1954\" data-end=\"1957\"\u003e• Dimensions ~151 × 151 × 52 mm\u003cbr data-start=\"1988\" data-end=\"1991\"\u003e• Weight ~1.2 kg \u003cspan class=\"\" data-state=\"closed\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp data-start=\"2051\" data-end=\"2143\"\u003e\u003cstrong data-start=\"2051\" data-end=\"2060\"\u003ePower\u003c\/strong\u003e\u003cbr data-start=\"2060\" data-end=\"2063\"\u003e• External power adapter (~280W class) \u003cspan class=\"\" data-state=\"closed\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp data-start=\"2145\" data-end=\"2288\"\u003e\u003cstrong data-start=\"2145\" data-end=\"2169\"\u003eCooling \u0026amp; Efficiency\u003c\/strong\u003e\u003cbr data-start=\"2169\" data-end=\"2172\"\u003e• Optimised thermal design for sustained AI workloads\u003cbr data-start=\"2225\" data-end=\"2228\"\u003e• High performance per watt (ARM + Blackwell architecture)\u003c\/p\u003e\n\u003cp data-start=\"2290\" data-end=\"2448\"\u003e\u003cstrong data-start=\"2290\" data-end=\"2317\"\u003eSecurity \u0026amp; Data Control\u003c\/strong\u003e\u003cbr data-start=\"2317\" data-end=\"2320\"\u003e• Local AI processing (no cloud dependency)\u003cbr data-start=\"2363\" data-end=\"2366\"\u003e• Full data sovereignty for enterprise workloads\u003cbr 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Combining enterprise-class capabilities with a compact form factor, this AI station enables organizations to run demanding AI applications without relying entirely on cloud infrastructure.\u003c\/p\u003e\n\u003ch3 data-start=\"683\" data-end=\"739\"\u003e\u003cstrong data-start=\"683\" data-end=\"737\"\u003eBuilt for AI Development and Large Language Models\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp data-start=\"741\" data-end=\"1167\"\u003eDesigned to support modern AI workflows, the HP ZGX Nano G1n provides the performance required for AI model development, local inference, generative AI applications, large language models (LLMs), and data-intensive processing tasks. The integrated 4TB high-speed storage offers ample capacity for AI datasets, machine learning models, research projects, and enterprise workloads while ensuring rapid access to critical data.\u003c\/p\u003e\n\u003ch3 data-start=\"1169\" data-end=\"1222\"\u003e\u003cstrong data-start=\"1169\" data-end=\"1220\"\u003eSpace-Saving Design with Enterprise Reliability\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp data-start=\"1224\" data-end=\"1601\"\u003eThe HP ZGX Nano G1n features a compact desktop footprint that allows deployment in offices, research labs, innovation centers, and edge computing environments. Despite its small size, it is engineered to deliver professional-grade reliability, making it suitable for organizations looking to deploy AI infrastructure without the complexity of traditional server environments.\u003c\/p\u003e\n\u003ch3 data-start=\"1603\" data-end=\"1655\"\u003e\u003cstrong data-start=\"1603\" data-end=\"1653\"\u003eAccelerate Innovation with Local AI Processing\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp data-start=\"1657\" data-end=\"2019\"\u003eOrganizations can leverage the HP ZGX Nano G1n AI Station to accelerate software development, AI experimentation, model testing, and business analytics while maintaining greater control over sensitive data. Local processing helps reduce latency, improve responsiveness, and support privacy requirements for enterprise AI deployments across multiple industries.\u003c\/p\u003e\n\u003ch3 data-start=\"2021\" data-end=\"2063\"\u003e\u003cstrong data-start=\"2021\" data-end=\"2061\"\u003eTechnical Specifications\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp\u003e\u003cstrong\u003eGeneral\u003c\/strong\u003e\u003cbr\u003eModel: ZGX Nano G1n AI Station – 4TB\u003cbr\u003ePart Number: DD8J0PA\u003cbr\u003eProduct Name: HP ZGX Nano G1n AI Station – 4TB\u003cbr\u003eManufacturer: HP Inc.\u003cbr\u003eProduct Type: AI Workstation \/ Personal AI Supercomputer\u003cbr\u003eSeries: HP ZGX Nano AI Station\u003cbr\u003eForm Factor: Mini AI Workstation\u003cbr\u003eOperating System: NVIDIA DGX OS 7 (Ubuntu 24.04 Based)\u003cbr\u003eDeployment: AI Development, LLM Inference, Fine-Tuning, Data Science, Edge AI, Research Computing\u003cbr\u003eWarranty: 1 Year Limited Warranty\u003cbr\u003ePlatform: NVIDIA Grace Blackwell Architecture\u003cbr\u003eAI Framework Support: NVIDIA AI Software Stack Compatible\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eProcessor Specifications\u003c\/strong\u003e\u003cbr\u003eProcessor: NVIDIA GB10 Grace Blackwell Superchip\u003cbr\u003eCPU Architecture: ARM-Based\u003cbr\u003eCPU Cores: 20 Cores\u003cbr\u003eCPU Configuration:\u003cbr\u003e• 10 × Cortex-X925 Performance Cores\u003cbr\u003e• 10 × Cortex-A725 Efficiency Cores\u003c\/p\u003e\n\u003cp\u003eGPU Architecture: NVIDIA Blackwell\u003cbr\u003eTensor Cores: 5th Generation Tensor Cores\u003cbr\u003eRay Tracing Cores: 4th Generation RT Cores\u003cbr\u003eHardware Video Encoder: 1 × NVENC\u003cbr\u003eHardware Video Decoder: 1 × NVDEC\u003cbr\u003eAI Optimization: Built for AI Training, Fine-Tuning and Inference Workloads\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eMemory Specifications\u003c\/strong\u003e\u003cbr\u003eInstalled Memory: 128 GB LPDDR5x\u003cbr\u003eMemory Speed: 8533 MT\/s\u003cbr\u003eMemory Type: Unified System Memory\u003cbr\u003eMemory Interface: 256-Bit\u003cbr\u003eMemory Bandwidth: 273 GB\/s\u003cbr\u003eECC Support: Integrated Reliability Features\u003cbr\u003eMemory Architecture: Coherent Unified Memory Design\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eStorage Specifications\u003c\/strong\u003e\u003cbr\u003eInstalled Storage: 4 TB PCIe Gen4 NVMe SSD\u003cbr\u003eStorage Type: M.2 NVMe SSD\u003cbr\u003eSSD Technology: TLC NAND\u003cbr\u003eDrive Security: OPAL Self-Encrypting Drive (SED)\u003cbr\u003eExpansion Support: Configuration Dependent\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eGraphics Specifications\u003c\/strong\u003e\u003cbr\u003eGraphics Controller: NVIDIA Blackwell Architecture GPU\u003cbr\u003eGraphics Type: Integrated AI GPU\u003cbr\u003eCUDA Support: Supported\u003cbr\u003eTensor Core Acceleration: Supported\u003cbr\u003eRay Tracing Support: Supported\u003cbr\u003eAI Workload Acceleration: Supported\u003cbr\u003eLarge Language Model Processing: Supported\u003cbr\u003eGenerative AI Workloads: Supported\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eAI Capabilities\u003c\/strong\u003e\u003cbr\u003eLocal LLM Deployment: Supported\u003cbr\u003eModel Prototyping: Supported\u003cbr\u003eModel Fine-Tuning: Supported\u003cbr\u003eInference Workloads: Supported\u003cbr\u003eComputer Vision Applications: Supported\u003cbr\u003eRobotics Development: Supported\u003cbr\u003eEdge AI Deployment: Supported\u003cbr\u003eData Science Workloads: Supported\u003cbr\u003eSupports Models Up To: 200 Billion Parameters Locally\u003cbr\u003eScalable AI Clustering: Supported via ConnectX Networking\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eNetworking \u0026amp; Connectivity\u003c\/strong\u003e\u003cbr\u003eWireless LAN: Wi-Fi 7\u003cbr\u003eWireless Chipset: MediaTek MT7925\u003cbr\u003eBluetooth Version: Bluetooth 5.4\u003cbr\u003eWired Ethernet: 10GbE RJ45\u003cbr\u003eHigh-Speed Networking: NVIDIA ConnectX-7 200GbE\u003cbr\u003eCluster Interconnect Support: Supported\u003cbr\u003eMulti-System Scaling: Supported\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003ePorts \u0026amp; Interfaces\u003c\/strong\u003e\u003cbr\u003eUSB Type-C Power Connector × 1\u003cbr\u003eUSB Type-C 20Gbps Ports × 3\u003cbr\u003eHDMI 2.1a × 1\u003cbr\u003e10GbE RJ45 Port × 1\u003cbr\u003eQSFP 200GbE Ports × 2\u003cbr\u003eAudio Over HDMI: Supported\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eSoftware \u0026amp; Management\u003c\/strong\u003e\u003cbr\u003eOperating System: NVIDIA DGX OS\u003cbr\u003eHP ZGX Toolkit: Supported\u003cbr\u003eMLflow Integration: Supported\u003cbr\u003eOllama Integration: Supported\u003cbr\u003eVisual Studio Code Integration: Supported\u003cbr\u003eModel Discovery Tools: Supported\u003cbr\u003eModel Export Tools: Supported\u003cbr\u003eLocal AI Serving: Supported\u003cbr\u003eDeveloper Workflow Optimization: Supported\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003ePower Specifications\u003c\/strong\u003e\u003cbr\u003ePower Adapter: External USB-C Power Adapter\u003cbr\u003ePower Rating: 240W\u003cbr\u003ePower Efficiency: Up to 89%\u003cbr\u003eActive PFC: Supported\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eDesign \u0026amp; Construction\u003c\/strong\u003e\u003cbr\u003eForm Factor: Mini AI Workstation\u003cbr\u003eColor: Black\u003cbr\u003eConstruction: Enterprise-Grade Compact Chassis\u003cbr\u003eCooling Design: Active Intelligent Cooling\u003cbr\u003eDesktop Deployment: Supported\u003cbr\u003eCluster Deployment: Supported\u003cbr\u003eEnterprise AI Ready: Supported\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003ePhysical Specifications\u003c\/strong\u003e\u003cbr\u003eDimensions (W × D × H): 150 × 150 × 51 mm\u003cbr\u003eWeight: Approximately 1.25 kg\u003cbr\u003eForm Factor: Mini Desktop AI Station\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003ePackage Contents\u003c\/strong\u003e\u003cbr\u003eHP ZGX Nano G1n AI Station\u003cbr\u003e240W USB-C Power Adapter\u003cbr\u003ePower Cord\u003cbr\u003eQuick Start Guide\u003cbr\u003eDocumentation\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eKey Features\u003c\/strong\u003e\u003cbr\u003eNVIDIA GB10 Grace Blackwell Superchip\u003cbr\u003e20-Core ARM CPU Architecture\u003cbr\u003e128GB Unified LPDDR5x Memory\u003cbr\u003e273GB\/s Memory Bandwidth\u003cbr\u003e4TB PCIe Gen4 NVMe SSD\u003cbr\u003eNVIDIA Blackwell GPU Architecture\u003cbr\u003eWi-Fi 7 and Bluetooth 5.4\u003cbr\u003e10GbE Ethernet Connectivity\u003cbr\u003eNVIDIA ConnectX-7 200GbE Networking\u003cbr\u003eNVIDIA DGX OS Included\u003cbr\u003eSupports AI Model Fine-Tuning and Inference\u003cbr\u003eUltra-Compact 150mm Chassis Design\u003cbr\u003eScalable Multi-Node AI Deployment\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003ePerformance \u0026amp; Features\u003c\/strong\u003e\u003cbr\u003ePurpose-Built Personal AI Supercomputer\u003cbr\u003eDesigned for Local LLM Development and Deployment\u003cbr\u003eSupports Large AI Models Without Cloud Dependency\u003cbr\u003eHigh-Bandwidth Unified Memory Architecture\u003cbr\u003eOptimized for Generative AI and Data Science Workloads\u003cbr\u003eSuitable for AI Researchers, Developers and Enterprises\u003cbr\u003eEnables Local Training, Fine-Tuning and Inferencing\u003cbr\u003eSupports AI Edge Applications and Robotics Development\u003cbr\u003eProvides Enterprise-Class AI Computing in a Compact Form Factor\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eTypical Use Cases\u003c\/strong\u003e\u003cbr\u003eLarge Language Model (LLM) Development\u003cbr\u003eGenerative AI Applications\u003cbr\u003eAI Fine-Tuning Projects\u003cbr\u003eAI Inference Workloads\u003cbr\u003eMachine Learning Research\u003cbr\u003eData Science Workflows\u003cbr\u003eComputer Vision Applications\u003cbr\u003eRobotics Development\u003cbr\u003eEdge AI Deployment\u003cbr\u003eUniversity Research Labs\u003cbr\u003eEnterprise AI Teams\u003cbr\u003ePrivate AI Infrastructure\u003cbr\u003eLocal AI Model Hosting\u003c\/p\u003e\n\u003cp\u003e\u003ciframe width=\"560\" height=\"315\" src=\"https:\/\/www.youtube.com\/embed\/Yw98-kKYgfU?si=uzScSycLHz70uUv2\" title=\"YouTube video player\"\u003e\u003c\/iframe\u003e\u003c\/p\u003e","brand":"HP","offers":[{"title":"Default Title","offer_id":51333831819428,"sku":"DD8J0PA","price":11499.0,"currency_code":"SGD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0605\/0136\/0804\/files\/hp-zgx-nano-g1n-ai-station-4tb-1872384.jpg?v=1779526094"},{"product_id":"altos-brainsphere™-gb10-f1-ai-desktop-4tb","title":"Altos BrainSphere™ GB10 F1 AI Desktop 4TB","description":"\u003ch2\u003e\n\u003cstrong\u003eAltos BrainSphere™ GB10 F1 AI Desktop 4TB (NVIDIA GB10 \/ 128GB LPDDR5x \/ NVIDIA DGX™ OS + Altos aiGeni Platform) (DT.L1BSM.001) - 1 Year Local Warranty \u003c\/strong\u003e\n\u003c\/h2\u003e\n\u003cp data-is-only-node=\"\" data-is-last-node=\"\" data-end=\"2325\" data-start=\"1731\"\u003e\u003ciframe width=\"560\" height=\"315\" src=\"https:\/\/www.youtube.com\/embed\/Sd2Ie68OD_o?si=s0psw3fnKrfzFmAM\" title=\"YouTube video player\"\u003e\u003c\/iframe\u003e\u003c\/p\u003e\n\u003ch3 data-start=\"171\" data-end=\"224\"\u003e\u003cstrong data-start=\"171\" data-end=\"222\"\u003eEnterprise AI Desktop for Advanced AI Computing\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp data-start=\"226\" data-end=\"672\"\u003e\u003cspan class=\"hover:entity-accent entity-underline inline cursor-pointer align-baseline\"\u003e\u003cspan class=\"whitespace-normal\"\u003eNVIDIA\u003c\/span\u003e\u003c\/span\u003e Altos BrainSphere™ GB10 F1 AI Desktop 4TB (DT.L1BSM.001) is a high-performance AI workstation designed for generative AI, machine learning, large language models (LLMs), simulation, and accelerated computing workloads. Powered by the NVIDIA GB10 platform and integrated with NVIDIA DGX™ OS and Altos aiGeni Platform, this AI desktop delivers enterprise-grade AI processing in a compact desktop environment.\u003c\/p\u003e\n\u003ch3 data-start=\"674\" data-end=\"725\"\u003e\u003cstrong data-start=\"674\" data-end=\"723\"\u003eOptimized for Generative AI and LLM Workloads\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp data-start=\"727\" data-end=\"1096\"\u003eDesigned for developers, enterprises, AI labs, and research institutions, the Altos BrainSphere GB10 F1 supports demanding AI applications including LLM inference, AI model fine-tuning, simulation, analytics, and generative AI development. The combination of 128GB LPDDR5x memory and 4TB storage enables efficient handling of large AI datasets and advanced workflows.\u003c\/p\u003e\n\u003ch3 data-start=\"1098\" data-end=\"1149\"\u003e\u003cstrong data-start=\"1098\" data-end=\"1147\"\u003ePowered by NVIDIA GB10 and DGX Software Stack\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp data-start=\"1151\" data-end=\"1484\"\u003eBuilt on NVIDIA GB10 accelerated computing architecture, the system leverages NVIDIA DGX™ OS together with the Altos aiGeni Platform to provide an optimized AI development and deployment environment. This enables organizations to accelerate AI adoption while maintaining local AI processing performance and operational flexibility.\u003c\/p\u003e\n\u003ch3 data-start=\"1486\" data-end=\"1543\"\u003e\u003cstrong data-start=\"1486\" data-end=\"1541\"\u003eCompact AI Infrastructure for Enterprise Deployment\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp data-start=\"1545\" data-end=\"1893\"\u003eThe Altos BrainSphere™ GB10 F1 AI Desktop provides a compact alternative to traditional AI server infrastructure while supporting powerful local AI computing capabilities. It is suitable for enterprises, educational institutions, AI developers, and organizations seeking on-premises AI infrastructure with lower latency and improved data privacy.\u003c\/p\u003e\n\u003ch3 data-start=\"1895\" data-end=\"1937\"\u003e\u003cstrong data-start=\"1895\" data-end=\"1935\"\u003eTechnical Specifications\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp data-start=\"72\" data-end=\"610\"\u003e\u003cstrong data-start=\"72\" data-end=\"83\"\u003eGeneral\u003c\/strong\u003e\u003cbr data-start=\"83\" data-end=\"86\"\u003eModel: GB10 F1\u003cbr data-start=\"100\" data-end=\"103\"\u003ePart Number: DT.L1BSM.001\u003cbr data-start=\"128\" data-end=\"131\"\u003eProduct Name: Altos BrainSphere™ GB10 F1 AI Desktop 4TB\u003cbr data-start=\"186\" data-end=\"189\"\u003eManufacturer: \u003cspan class=\"hover:entity-accent entity-underline inline cursor-pointer align-baseline\"\u003e\u003cspan class=\"whitespace-normal\"\u003eAltos Computing\u003c\/span\u003e\u003c\/span\u003e\u003cbr data-start=\"240\" data-end=\"243\"\u003eProduct Type: AI Desktop Supercomputer \/ AI Workstation\u003cbr data-start=\"298\" data-end=\"301\"\u003eDeployment: Generative AI, LLM Development, AI Inferencing, AI Training, Data Science, Edge AI\u003cbr data-start=\"395\" data-end=\"398\"\u003eArchitecture: NVIDIA Grace Blackwell Platform\u003cbr data-start=\"443\" data-end=\"446\"\u003eTarget Workloads: AI Agents, LLM Fine-Tuning, Generative AI, Deep Learning, AI Prototyping\u003cbr data-start=\"536\" data-end=\"539\"\u003eOperating System: NVIDIA DGX™ OS\u003cbr data-start=\"571\" data-end=\"574\"\u003eAI Platform: Altos aiGeni Platform\u003c\/p\u003e\n\u003cp data-start=\"612\" data-end=\"829\"\u003e\u003cstrong data-start=\"612\" data-end=\"640\"\u003eProcessor Specifications\u003c\/strong\u003e\u003cbr data-start=\"640\" data-end=\"643\"\u003eCPU Architecture: NVIDIA Grace Blackwell Superchip\u003cbr data-start=\"693\" data-end=\"696\"\u003eCPU Type: Arm-Based Processor\u003cbr data-start=\"725\" data-end=\"728\"\u003eCPU Core Count: 20 Cores\u003cbr data-start=\"752\" data-end=\"755\"\u003eCPU Configuration:\u003cbr data-start=\"773\" data-end=\"776\"\u003e• 10 x Cortex-X925 Cores\u003cbr data-start=\"800\" data-end=\"803\"\u003e• 10 x Cortex-A725 Cores\u003c\/p\u003e\n\u003cp data-start=\"831\" data-end=\"934\"\u003eProcessor Optimization: AI Accelerated Computing\u003cbr data-start=\"879\" data-end=\"882\"\u003eCPU-GPU Interconnect: NVIDIA NVLink-C2C Technology\u003c\/p\u003e\n\u003cp data-start=\"936\" data-end=\"1264\"\u003e\u003cstrong data-start=\"936\" data-end=\"958\"\u003eGPU Specifications\u003c\/strong\u003e\u003cbr data-start=\"958\" data-end=\"961\"\u003eGPU Architecture: NVIDIA Grace Blackwell\u003cbr data-start=\"1001\" data-end=\"1004\"\u003eCUDA Cores: 6144\u003cbr data-start=\"1020\" data-end=\"1023\"\u003eTensor Core Generation: 5th Generation Tensor Cores\u003cbr data-start=\"1074\" data-end=\"1077\"\u003eRT Core Generation: 4th Generation RT Cores\u003cbr data-start=\"1120\" data-end=\"1123\"\u003eAI Performance: Up to 1 PetaFLOP AI Performance\u003cbr data-start=\"1170\" data-end=\"1173\"\u003eAI Optimization: Supported\u003cbr data-start=\"1199\" data-end=\"1202\"\u003eGenerative AI Support: Supported\u003cbr data-start=\"1234\" data-end=\"1237\"\u003eLLM Processing: Supported\u003c\/p\u003e\n\u003cp data-start=\"1266\" data-end=\"1473\"\u003e\u003cstrong data-start=\"1266\" data-end=\"1291\"\u003eMemory Specifications\u003c\/strong\u003e\u003cbr data-start=\"1291\" data-end=\"1294\"\u003eMemory Type: LPDDR5x Unified System Memory\u003cbr data-start=\"1336\" data-end=\"1339\"\u003eMemory Capacity: 128GB\u003cbr data-start=\"1361\" data-end=\"1364\"\u003eMemory Architecture: Unified CPU-GPU Shared Memory\u003cbr data-start=\"1414\" data-end=\"1417\"\u003eMemory Interface: 256-bit\u003cbr data-start=\"1442\" data-end=\"1445\"\u003eMemory Bandwidth: 273 GB\/s\u003c\/p\u003e\n\u003cp data-start=\"1475\" data-end=\"1649\"\u003e\u003cstrong data-start=\"1475\" data-end=\"1501\"\u003eStorage Specifications\u003c\/strong\u003e\u003cbr data-start=\"1501\" data-end=\"1504\"\u003eStorage Capacity: 4TB\u003cbr data-start=\"1525\" data-end=\"1528\"\u003eStorage Type: NVMe M.2 SSD\u003cbr data-start=\"1554\" data-end=\"1557\"\u003eSelf Encryption Support: Supported\u003cbr data-start=\"1591\" data-end=\"1594\"\u003eStorage Architecture: High Speed AI Optimized Storage\u003c\/p\u003e\n\u003cp data-start=\"1651\" data-end=\"1828\"\u003e\u003cstrong data-start=\"1651\" data-end=\"1680\"\u003eNetworking Specifications\u003c\/strong\u003e\u003cbr data-start=\"1680\" data-end=\"1683\"\u003eNetwork Technology: NVIDIA ConnectX®-7\u003cbr data-start=\"1721\" data-end=\"1724\"\u003eHigh Speed Networking: Supported\u003cbr data-start=\"1756\" data-end=\"1759\"\u003eLow Latency Networking: Supported\u003cbr data-start=\"1792\" data-end=\"1795\"\u003eAI Cluster Expansion: Supported\u003c\/p\u003e\n\u003cp data-start=\"1830\" data-end=\"1982\"\u003eMulti-System Scaling:\u003cbr data-start=\"1851\" data-end=\"1854\"\u003e• Supports dual system interconnect\u003cbr data-start=\"1889\" data-end=\"1892\"\u003e• High-bandwidth AI scaling support\u003cbr data-start=\"1927\" data-end=\"1930\"\u003e• Supports larger AI model deployment environments\u003c\/p\u003e\n\u003cp data-start=\"1984\" data-end=\"2046\"\u003e\u003cstrong data-start=\"1984\" data-end=\"2000\"\u003eConnectivity\u003c\/strong\u003e\u003cbr data-start=\"2000\" data-end=\"2003\"\u003eUSB Ports:\u003cbr data-start=\"2013\" data-end=\"2016\"\u003e• 3 x USB 3.2 Gen 2x2 Type-C\u003c\/p\u003e\n\u003cp data-start=\"2048\" data-end=\"2136\"\u003eUSB Speed: Up to 20Gbps\u003cbr data-start=\"2071\" data-end=\"2074\"\u003eDisplay Output Support: DisplayPort Alternate Mode Supported\u003c\/p\u003e\n\u003cp data-start=\"2138\" data-end=\"2250\"\u003e\u003cstrong data-start=\"2138\" data-end=\"2164\"\u003eSoftware \u0026amp; AI Platform\u003c\/strong\u003e\u003cbr data-start=\"2164\" data-end=\"2167\"\u003eOperating System: NVIDIA DGX™ OS\u003cbr data-start=\"2199\" data-end=\"2202\"\u003eAI Development Platform: Altos aiGeni Platform\u003c\/p\u003e\n\u003cp data-start=\"2252\" data-end=\"2412\"\u003eSupported AI Functions:\u003cbr data-start=\"2275\" data-end=\"2278\"\u003e• AI Model Development\u003cbr data-start=\"2300\" data-end=\"2303\"\u003e• AI Fine-Tuning\u003cbr data-start=\"2319\" data-end=\"2322\"\u003e• AI Inferencing\u003cbr data-start=\"2338\" data-end=\"2341\"\u003e• AI Agent Development\u003cbr data-start=\"2363\" data-end=\"2366\"\u003e• Generative AI Workflows\u003cbr data-start=\"2391\" data-end=\"2394\"\u003e• LLM Deployment\u003c\/p\u003e\n\u003cp data-start=\"2414\" data-end=\"2510\"\u003eAI Resource Management: Supported\u003cbr data-start=\"2447\" data-end=\"2450\"\u003eAutomatic Backup: Supported\u003cbr data-start=\"2477\" data-end=\"2480\"\u003eSystem Monitoring: Supported\u003c\/p\u003e\n\u003cp data-start=\"2512\" data-end=\"2980\"\u003e\u003cstrong data-start=\"2512\" data-end=\"2538\"\u003ePerformance \u0026amp; Features\u003c\/strong\u003e\u003cbr data-start=\"2538\" data-end=\"2541\"\u003eSupports up to 1 PetaFLOP AI performance\u003cbr data-start=\"2581\" data-end=\"2584\"\u003eUnified memory architecture for accelerated AI workloads\u003cbr data-start=\"2640\" data-end=\"2643\"\u003eOptimized for local LLM deployment and fine-tuning\u003cbr data-start=\"2693\" data-end=\"2696\"\u003eDesigned for generative AI and AI agent development\u003cbr data-start=\"2747\" data-end=\"2750\"\u003eSupports enterprise AI prototyping environments\u003cbr data-start=\"2797\" data-end=\"2800\"\u003eCompact desktop AI supercomputer architecture\u003cbr data-start=\"2845\" data-end=\"2848\"\u003eHigh-speed CPU-GPU communication via NVLink-C2C\u003cbr data-start=\"2895\" data-end=\"2898\"\u003eSupports large parameter AI model processing \u003c\/p\u003e\n\u003cp data-start=\"2982\" data-end=\"3141\"\u003e\u003cstrong data-start=\"2982\" data-end=\"3010\"\u003eCooling \u0026amp; Thermal Design\u003c\/strong\u003e\u003cbr data-start=\"3010\" data-end=\"3013\"\u003eCooling Type: Advanced Active Cooling System\u003cbr data-start=\"3057\" data-end=\"3060\"\u003eThermal Optimization: AI Workload Optimized\u003cbr data-start=\"3103\" data-end=\"3106\"\u003eCompact Airflow Design: Supported\u003c\/p\u003e\n\u003cp data-start=\"3143\" data-end=\"3284\"\u003e\u003cstrong data-start=\"3143\" data-end=\"3164\"\u003eSecurity Features\u003c\/strong\u003e\u003cbr data-start=\"3164\" data-end=\"3167\"\u003eSelf Encrypting Storage: Supported\u003cbr data-start=\"3201\" data-end=\"3204\"\u003eEnterprise AI Data Privacy: Supported\u003cbr data-start=\"3241\" data-end=\"3244\"\u003eLocal AI Processing Support: Supported\u003c\/p\u003e\n\u003cp data-start=\"3286\" data-end=\"3496\"\u003e\u003cstrong data-start=\"3286\" data-end=\"3311\"\u003eDesign \u0026amp; Construction\u003c\/strong\u003e\u003cbr data-start=\"3311\" data-end=\"3314\"\u003eForm Factor: Compact Desktop AI Workstation\u003cbr data-start=\"3357\" data-end=\"3360\"\u003eDeployment Environment: Enterprise AI Lab \/ Research \/ AI Development \/ Edge AI\u003cbr data-start=\"3439\" data-end=\"3442\"\u003eConstruction: Enterprise Grade AI Computing Platform\u003c\/p\u003e\n\u003cp data-start=\"3498\" data-end=\"3653\"\u003e\u003cstrong data-start=\"3498\" data-end=\"3518\"\u003ePackage Contents\u003c\/strong\u003e\u003cbr data-start=\"3518\" data-end=\"3521\"\u003eAltos BrainSphere™ GB10 F1 AI Desktop\u003cbr data-start=\"3558\" data-end=\"3561\"\u003ePower Adapter\u003cbr data-start=\"3574\" data-end=\"3577\"\u003eDocumentation\u003cbr data-start=\"3590\" data-end=\"3593\"\u003ePreloaded NVIDIA DGX™ OS\u003cbr data-start=\"3617\" data-end=\"3620\"\u003ePreloaded Altos aiGeni Platform\u003c\/p\u003e\n\u003cp data-start=\"3655\" data-end=\"3989\"\u003e\u003cstrong data-start=\"3655\" data-end=\"3671\"\u003eKey Features\u003c\/strong\u003e\u003cbr data-start=\"3671\" data-end=\"3674\"\u003eNVIDIA GB10 Grace Blackwell Superchip\u003cbr data-start=\"3711\" data-end=\"3714\"\u003e128GB LPDDR5x unified memory\u003cbr data-start=\"3742\" data-end=\"3745\"\u003e4TB NVMe SSD storage\u003cbr data-start=\"3765\" data-end=\"3768\"\u003eUp to 1 PetaFLOP AI performance\u003cbr data-start=\"3799\" data-end=\"3802\"\u003eNVIDIA DGX™ OS preloaded\u003cbr data-start=\"3826\" data-end=\"3829\"\u003eAltos aiGeni AI platform included\u003cbr data-start=\"3862\" data-end=\"3865\"\u003eConnectX®-7 high-speed networking\u003cbr data-start=\"3898\" data-end=\"3901\"\u003eDesigned for generative AI and LLM workloads\u003cbr data-start=\"3945\" data-end=\"3948\"\u003eCompact desktop AI supercomputer design\u003c\/p\u003e\n\u003cp data-start=\"3991\" data-end=\"4259\"\u003e\u003cstrong data-start=\"3991\" data-end=\"4012\"\u003eTypical Use Cases\u003c\/strong\u003e\u003cbr data-start=\"4012\" data-end=\"4015\"\u003eLarge Language Model (LLM) fine-tuning\u003cbr data-start=\"4053\" data-end=\"4056\"\u003eGenerative AI development\u003cbr data-start=\"4081\" data-end=\"4084\"\u003eAI inferencing\u003cbr data-start=\"4098\" data-end=\"4101\"\u003eAI agent deployment\u003cbr data-start=\"4120\" data-end=\"4123\"\u003eDeep learning workloads\u003cbr data-start=\"4146\" data-end=\"4149\"\u003eAI research environments\u003cbr data-start=\"4173\" data-end=\"4176\"\u003eEnterprise AI prototyping\u003cbr data-start=\"4201\" data-end=\"4204\"\u003eEdge AI computing\u003cbr data-start=\"4221\" data-end=\"4224\"\u003eData science and machine learning\u003c\/p\u003e","brand":"Acer","offers":[{"title":"Default Title","offer_id":51338553884836,"sku":"DT.L1BSM.001","price":7955.0,"currency_code":"SGD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0605\/0136\/0804\/files\/altos-brainsphere-gb10-f1-ai-desktop-4tb-3338031.jpg?v=1779966968"},{"product_id":"gigabyte-ai-top-atom-personal-ai-computer-4tb-pcie4-0","title":"Gigabyte AI TOP ATOM Personal AI Computer 4TB (PCIe4.0)","description":"\u003ch2\u003e\n\u003cstrong\u003eGigabyte AI TOP ATOM Personal AI Computer 4TB (GB10 \/ 128GB LPDDR5x \/ \u003cspan style=\"color: rgb(255, 42, 0);\"\u003ePCIe4.0\u003c\/span\u003e 4TB NVMe M.2 SSD \/ NVIDIA DGX™ OS, Ubuntu Linux (ATAGB10-9000) - 3 Year Local Warranty \u003c\/strong\u003e\n\u003c\/h2\u003e\n\u003cp data-start=\"1731\" data-end=\"2325\" data-is-last-node=\"\" data-is-only-node=\"\"\u003e\u003ciframe title=\"YouTube video player\" src=\"https:\/\/www.youtube.com\/embed\/Sd2Ie68OD_o?si=s0psw3fnKrfzFmAM\" height=\"315\" width=\"560\"\u003e\u003c\/iframe\u003e\u003c\/p\u003e\n\u003ch3 data-start=\"203\" data-end=\"265\"\u003e\u003cstrong data-start=\"203\" data-end=\"263\"\u003ePersonal AI Computing Platform for Advanced AI Workloads\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp data-start=\"267\" data-end=\"717\"\u003eThe Gigabyte AI TOP ATOM Personal AI Computer 4TB (ATAGB10-9000) is a powerful desktop AI system built for developers, researchers, educators, and enterprises seeking local AI computing capabilities. Powered by the NVIDIA GB10 platform and equipped with 128GB LPDDR5x unified memory, this compact AI workstation delivers the performance needed for artificial intelligence development, machine learning, generative AI, and data science applications.\u003c\/p\u003e\n\u003ch3 data-start=\"719\" data-end=\"777\"\u003e\u003cstrong data-start=\"719\" data-end=\"775\"\u003eDesigned for Large Language Models and Generative AI\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp data-start=\"779\" data-end=\"1183\"\u003eBuilt to support modern AI workflows, the Gigabyte AI TOP ATOM enables users to run large language models (LLMs), AI inference workloads, deep learning frameworks, retrieval-augmented generation (RAG), and AI-assisted software development locally. Organizations can accelerate AI innovation while maintaining greater control over sensitive datasets and reducing dependence on cloud computing resources.\u003c\/p\u003e\n\u003ch3 data-start=\"1185\" data-end=\"1239\"\u003e\u003cstrong data-start=\"1185\" data-end=\"1237\"\u003eHigh-Speed Memory and Storage for AI Development\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp data-start=\"1241\" data-end=\"1599\"\u003eFeaturing 128GB LPDDR5x unified memory and a 4TB PCIe 4.0 NVMe M.2 SSD, the system provides ample capacity for AI models, datasets, development environments, and enterprise applications. The high-speed storage subsystem ensures rapid data access and smooth operation when working with large AI workloads, research projects, and complex computational tasks.\u003c\/p\u003e\n\u003ch3 data-start=\"1601\" data-end=\"1651\"\u003e\u003cstrong data-start=\"1601\" data-end=\"1649\"\u003eOptimized AI Environment with NVIDIA DGX™ OS\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp data-start=\"1653\" data-end=\"2015\"\u003ePreloaded with NVIDIA DGX™ OS based on Ubuntu Linux, the Gigabyte AI TOP ATOM offers a professional AI development environment optimized for machine learning frameworks, AI toolkits, and data science applications. This enables developers and researchers to deploy, test, and scale AI projects efficiently using industry-standard software and development tools.\u003c\/p\u003e\n\u003ch3 data-start=\"2017\" data-end=\"2059\"\u003e\u003cstrong data-start=\"2017\" data-end=\"2057\"\u003eTechnical Specifications\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp data-start=\"0\" data-end=\"625\"\u003e\u003cstrong data-start=\"0\" data-end=\"11\"\u003eGeneral\u003c\/strong\u003e\u003cbr data-start=\"11\" data-end=\"14\"\u003eModel: AI TOP ATOM Personal AI Computer 4TB\u003cbr data-start=\"57\" data-end=\"60\"\u003ePart Number: ATAGB10-9000\u003cbr data-start=\"85\" data-end=\"88\"\u003eProduct Name: Gigabyte AI TOP ATOM Personal AI Computer 4TB\u003cbr data-start=\"147\" data-end=\"150\"\u003eManufacturer: \u003cspan class=\"hover:entity-accent entity-underline inline cursor-pointer align-baseline\"\u003e\u003cspan class=\"whitespace-normal\"\u003eGigabyte Technology\u003c\/span\u003e\u003c\/span\u003e\u003cbr data-start=\"201\" data-end=\"204\"\u003eProduct Type: Personal AI Supercomputer\u003cbr data-start=\"243\" data-end=\"246\"\u003ePlatform: NVIDIA GB10 Grace Blackwell Superchip\u003cbr data-start=\"293\" data-end=\"296\"\u003eForm Factor: Compact Desktop AI Computer\u003cbr data-start=\"336\" data-end=\"339\"\u003eOperating System: NVIDIA DGX™ OS, Ubuntu Linux\u003cbr data-start=\"385\" data-end=\"388\"\u003eTarget Users: AI Developers, Researchers, Data Scientists, Universities, Enterprise AI Teams\u003cbr data-start=\"480\" data-end=\"483\"\u003eDeployment Type: AI Development, Generative AI, Machine Learning, LLM Inference, Edge AI Computing\u003cbr data-start=\"581\" data-end=\"584\"\u003eWarranty: Manufacturer Limited Warranty\u003c\/p\u003e\n\u003cp data-start=\"627\" data-end=\"1008\"\u003e\u003cstrong data-start=\"627\" data-end=\"655\"\u003eProcessor Specifications\u003c\/strong\u003e\u003cbr data-start=\"655\" data-end=\"658\"\u003eProcessor Platform: NVIDIA GB10 Grace Blackwell Superchip\u003cbr data-start=\"715\" data-end=\"718\"\u003eCPU Architecture: NVIDIA Grace ARM Architecture\u003cbr data-start=\"765\" data-end=\"768\"\u003eCPU Configuration: 20-Core CPU\u003cbr data-start=\"798\" data-end=\"801\"\u003eCPU Core Layout: 10× Cortex-X925 + 10× Cortex-A725\u003cbr data-start=\"851\" data-end=\"854\"\u003eProcessor Performance: Optimized for AI, Data Science, and High-Performance Computing Workloads\u003cbr data-start=\"949\" data-end=\"952\"\u003eSystem Architecture: Unified CPU and GPU Memory Design\u003c\/p\u003e\n\u003cp data-start=\"1010\" data-end=\"1434\"\u003e\u003cstrong data-start=\"1010\" data-end=\"1032\"\u003eGPU Specifications\u003c\/strong\u003e\u003cbr data-start=\"1032\" data-end=\"1035\"\u003eGPU Architecture: NVIDIA Blackwell GPU\u003cbr data-start=\"1073\" data-end=\"1076\"\u003eCUDA Technology: Supported\u003cbr data-start=\"1102\" data-end=\"1105\"\u003eTensor Cores: Latest Generation Tensor Cores\u003cbr data-start=\"1149\" data-end=\"1152\"\u003eRay Tracing Cores: Supported\u003cbr data-start=\"1180\" data-end=\"1183\"\u003eAI Compute Performance: Up to 1 PetaFLOP FP4 AI Performance\u003cbr data-start=\"1242\" data-end=\"1245\"\u003eNVIDIA AI Software Stack: Supported\u003cbr data-start=\"1280\" data-end=\"1283\"\u003eGenerative AI Processing: Supported\u003cbr data-start=\"1318\" data-end=\"1321\"\u003eLarge Language Model (LLM) Support: Supported\u003cbr data-start=\"1366\" data-end=\"1369\"\u003eNVIDIA TensorRT: Supported\u003cbr data-start=\"1395\" data-end=\"1398\"\u003eNVIDIA CUDA-X Libraries: Supported\u003c\/p\u003e\n\u003cp data-start=\"1436\" data-end=\"1711\"\u003e\u003cstrong data-start=\"1436\" data-end=\"1461\"\u003eMemory Specifications\u003c\/strong\u003e\u003cbr data-start=\"1461\" data-end=\"1464\"\u003eInstalled Memory: 128 GB\u003cbr data-start=\"1488\" data-end=\"1491\"\u003eMemory Type: LPDDR5x Unified Memory\u003cbr data-start=\"1526\" data-end=\"1529\"\u003eMemory Architecture: Shared CPU-GPU Unified Memory\u003cbr data-start=\"1579\" data-end=\"1582\"\u003eMemory Bandwidth: Up to 273 GB\/s\u003cbr data-start=\"1614\" data-end=\"1617\"\u003eECC Protection: Supported\u003cbr data-start=\"1642\" data-end=\"1645\"\u003eAI Model Optimization: Designed for Large AI Models and Datasets\u003c\/p\u003e\n\u003cp data-start=\"1713\" data-end=\"1935\"\u003e\u003cstrong data-start=\"1713\" data-end=\"1739\"\u003eStorage Specifications\u003c\/strong\u003e\u003cbr data-start=\"1739\" data-end=\"1742\"\u003eInstalled Storage: 4 TB\u003cbr data-start=\"1765\" data-end=\"1768\"\u003eStorage Type: NVMe M.2 SSD\u003cbr data-start=\"1794\" data-end=\"1797\"\u003eSSD Interface: PCIe 4.0\u003cbr data-start=\"1820\" data-end=\"1823\"\u003eStorage Expansion: Configuration Dependent\u003cbr data-start=\"1865\" data-end=\"1868\"\u003eHigh-Speed Data Access: Supported\u003cbr data-start=\"1901\" data-end=\"1904\"\u003eAI Dataset Storage: Supported\u003c\/p\u003e\n\u003cp data-start=\"1937\" data-end=\"2367\"\u003e\u003cstrong data-start=\"1937\" data-end=\"1971\"\u003eAI \u0026amp; Machine Learning Features\u003c\/strong\u003e\u003cbr data-start=\"1971\" data-end=\"1974\"\u003eLarge Language Model (LLM) Development: Supported\u003cbr data-start=\"2023\" data-end=\"2026\"\u003eAI Inference: Supported\u003cbr data-start=\"2049\" data-end=\"2052\"\u003eAI Fine-Tuning: Supported\u003cbr data-start=\"2077\" data-end=\"2080\"\u003eRetrieval-Augmented Generation (RAG): Supported\u003cbr data-start=\"2127\" data-end=\"2130\"\u003eGenerative AI Applications: Supported\u003cbr data-start=\"2167\" data-end=\"2170\"\u003eAI Agent Development: Supported\u003cbr data-start=\"2201\" data-end=\"2204\"\u003eComputer Vision Workloads: Supported\u003cbr data-start=\"2240\" data-end=\"2243\"\u003eNatural Language Processing (NLP): Supported\u003cbr data-start=\"2287\" data-end=\"2290\"\u003eDeep Learning Framework Support: Supported\u003cbr data-start=\"2332\" data-end=\"2335\"\u003eLocal AI Processing: Supported\u003c\/p\u003e\n\u003cp data-start=\"2369\" data-end=\"2633\"\u003e\u003cstrong data-start=\"2369\" data-end=\"2403\"\u003eSoftware \u0026amp; Development Support\u003c\/strong\u003e\u003cbr data-start=\"2403\" data-end=\"2406\"\u003eOperating System: NVIDIA DGX™ OS\u003cbr data-start=\"2438\" data-end=\"2441\"\u003eLinux Distribution: Ubuntu Linux\u003cbr data-start=\"2473\" data-end=\"2476\"\u003eCUDA Toolkit: Supported\u003cbr data-start=\"2499\" data-end=\"2502\"\u003eNVIDIA TensorRT: Supported\u003cbr data-start=\"2528\" data-end=\"2531\"\u003eNVIDIA NIM Microservices: Supported\u003cbr data-start=\"2566\" data-end=\"2569\"\u003eDocker Support: Supported\u003cbr data-start=\"2594\" data-end=\"2597\"\u003eContainerized Workloads: Supported\u003c\/p\u003e\n\u003cp data-start=\"2635\" data-end=\"2724\"\u003eSupported AI Frameworks:\u003cbr data-start=\"2659\" data-end=\"2662\"\u003e• PyTorch\u003cbr data-start=\"2671\" data-end=\"2674\"\u003e• TensorFlow\u003cbr data-start=\"2686\" data-end=\"2689\"\u003e• JAX\u003cbr data-start=\"2694\" data-end=\"2697\"\u003e• ONNX Runtime\u003cbr data-start=\"2711\" data-end=\"2714\"\u003e• RAPIDS\u003c\/p\u003e\n\u003cp data-start=\"2726\" data-end=\"2932\"\u003e\u003cstrong data-start=\"2726\" data-end=\"2755\"\u003eNetworking Specifications\u003c\/strong\u003e\u003cbr data-start=\"2755\" data-end=\"2758\"\u003eEthernet: 10 Gigabit Ethernet (10GbE)\u003cbr data-start=\"2795\" data-end=\"2798\"\u003eWireless Connectivity: Wi-Fi 7\u003cbr data-start=\"2828\" data-end=\"2831\"\u003eBluetooth: Bluetooth 5.x\u003cbr data-start=\"2855\" data-end=\"2858\"\u003eRemote Access Support: Supported\u003cbr data-start=\"2890\" data-end=\"2893\"\u003eHigh-Speed Data Networking: Supported\u003c\/p\u003e\n\u003cp data-start=\"2934\" data-end=\"3146\"\u003e\u003cstrong data-start=\"2934\" data-end=\"2958\"\u003eConnectivity \u0026amp; Ports\u003c\/strong\u003e\u003cbr data-start=\"2958\" data-end=\"2961\"\u003eUSB Type-C Ports: Supported\u003cbr data-start=\"2988\" data-end=\"2991\"\u003eUSB Type-A Ports: Supported\u003cbr data-start=\"3018\" data-end=\"3021\"\u003eHDMI Output: Supported\u003cbr data-start=\"3043\" data-end=\"3046\"\u003eDisplay Connectivity: Supported\u003cbr data-start=\"3077\" data-end=\"3080\"\u003eRJ-45 Ethernet Port: Supported\u003cbr data-start=\"3110\" data-end=\"3113\"\u003ePeripheral Expansion: Supported\u003c\/p\u003e\n\u003cp data-start=\"3148\" data-end=\"3324\"\u003e\u003cstrong data-start=\"3148\" data-end=\"3169\"\u003eSecurity Features\u003c\/strong\u003e\u003cbr data-start=\"3169\" data-end=\"3172\"\u003eSecure Boot: Supported\u003cbr data-start=\"3194\" data-end=\"3197\"\u003eOperating System Security Updates: Supported\u003cbr data-start=\"3241\" data-end=\"3244\"\u003eEncrypted Storage Support: Supported\u003cbr data-start=\"3280\" data-end=\"3283\"\u003eEnterprise Security Features: Supported\u003c\/p\u003e\n\u003cp data-start=\"3326\" data-end=\"3467\"\u003e\u003cstrong data-start=\"3326\" data-end=\"3350\"\u003ePower Specifications\u003c\/strong\u003e\u003cbr data-start=\"3350\" data-end=\"3353\"\u003ePower Efficiency: Optimized for AI Computing\u003cbr data-start=\"3397\" data-end=\"3400\"\u003ePower Supply: Included\u003cbr data-start=\"3422\" data-end=\"3425\"\u003eEnergy Efficient Architecture: Supported\u003c\/p\u003e\n\u003cp data-start=\"3469\" data-end=\"3638\"\u003e\u003cstrong data-start=\"3469\" data-end=\"3495\"\u003eCooling Specifications\u003c\/strong\u003e\u003cbr data-start=\"3495\" data-end=\"3498\"\u003eCooling System: Active Cooling Design\u003cbr data-start=\"3535\" data-end=\"3538\"\u003eThermal Optimization: Supported\u003cbr data-start=\"3569\" data-end=\"3572\"\u003eAI Workload Cooling: Supported\u003cbr data-start=\"3602\" data-end=\"3605\"\u003eContinuous Operation: Supported\u003c\/p\u003e\n\u003cp data-start=\"3640\" data-end=\"3998\"\u003e\u003cstrong data-start=\"3640\" data-end=\"3663\"\u003eSupported Workloads\u003c\/strong\u003e\u003cbr data-start=\"3663\" data-end=\"3666\"\u003eLarge Language Models (LLMs)\u003cbr data-start=\"3694\" data-end=\"3697\"\u003eGenerative AI Applications\u003cbr data-start=\"3723\" data-end=\"3726\"\u003eAI Model Inference\u003cbr data-start=\"3744\" data-end=\"3747\"\u003eMachine Learning Development\u003cbr data-start=\"3775\" data-end=\"3778\"\u003eData Science Workloads\u003cbr data-start=\"3800\" data-end=\"3803\"\u003eComputer Vision Applications\u003cbr data-start=\"3831\" data-end=\"3834\"\u003eNatural Language Processing\u003cbr data-start=\"3861\" data-end=\"3864\"\u003eAI Agent Development\u003cbr data-start=\"3884\" data-end=\"3887\"\u003eResearch and Academic Computing\u003cbr data-start=\"3918\" data-end=\"3921\"\u003eEdge AI Deployments\u003cbr data-start=\"3940\" data-end=\"3943\"\u003eLocal AI Computing\u003cbr data-start=\"3961\" data-end=\"3964\"\u003eSoftware Development and Testing\u003c\/p\u003e\n\u003cp data-start=\"4000\" data-end=\"4234\"\u003e\u003cstrong data-start=\"4000\" data-end=\"4025\"\u003eDesign \u0026amp; Construction\u003c\/strong\u003e\u003cbr data-start=\"4025\" data-end=\"4028\"\u003eForm Factor: Compact Desktop AI Workstation\u003cbr data-start=\"4071\" data-end=\"4074\"\u003eChassis Design: AI Computing Optimized\u003cbr data-start=\"4112\" data-end=\"4115\"\u003eDeployment Flexibility: Office, Lab, Research, Enterprise Environment\u003cbr data-start=\"4184\" data-end=\"4187\"\u003eConstruction: Enterprise-Grade Compact Design\u003c\/p\u003e\n\u003cp data-start=\"4236\" data-end=\"4610\"\u003e\u003cstrong data-start=\"4236\" data-end=\"4248\"\u003eFeatures\u003c\/strong\u003e\u003cbr data-start=\"4248\" data-end=\"4251\"\u003eNVIDIA GB10 Grace Blackwell Superchip\u003cbr data-start=\"4288\" data-end=\"4291\"\u003e128 GB LPDDR5x Unified Memory\u003cbr data-start=\"4320\" data-end=\"4323\"\u003e4 TB PCIe 4.0 NVMe M.2 SSD\u003cbr data-start=\"4349\" data-end=\"4352\"\u003eNVIDIA Blackwell GPU Architecture\u003cbr data-start=\"4385\" data-end=\"4388\"\u003eUp to 1 PetaFLOP FP4 AI Performance\u003cbr data-start=\"4423\" data-end=\"4426\"\u003eNVIDIA DGX OS Preloaded\u003cbr data-start=\"4449\" data-end=\"4452\"\u003eUbuntu Linux Support\u003cbr data-start=\"4472\" data-end=\"4475\"\u003e10GbE Networking\u003cbr data-start=\"4491\" data-end=\"4494\"\u003eWi-Fi 7 Connectivity\u003cbr data-start=\"4514\" data-end=\"4517\"\u003eCompact Desktop Form Factor\u003cbr data-start=\"4544\" data-end=\"4547\"\u003eEnterprise AI Ready Platform\u003cbr data-start=\"4575\" data-end=\"4578\"\u003eLocal AI Processing Capability\u003c\/p\u003e\n\u003cp data-start=\"4612\" data-end=\"5174\"\u003e\u003cstrong data-start=\"4612\" data-end=\"4638\"\u003ePerformance \u0026amp; Features\u003c\/strong\u003e\u003cbr data-start=\"4638\" data-end=\"4641\"\u003eDesigned for local AI development and inference workloads\u003cbr data-start=\"4698\" data-end=\"4701\"\u003eSupports advanced generative AI applications without cloud dependency\u003cbr data-start=\"4770\" data-end=\"4773\"\u003eEnables experimentation and deployment of large language models\u003cbr data-start=\"4836\" data-end=\"4839\"\u003eProvides high-bandwidth unified memory architecture for AI workloads\u003cbr data-start=\"4907\" data-end=\"4910\"\u003eOptimized for developers, researchers, and enterprise AI teams\u003cbr data-start=\"4972\" data-end=\"4975\"\u003eSupports modern AI frameworks and NVIDIA software ecosystem\u003cbr data-start=\"5034\" data-end=\"5037\"\u003eOffers workstation-class AI performance in a compact desktop footprint\u003cbr data-start=\"5107\" data-end=\"5110\"\u003eBuilt for continuous AI computing and development environments\u003c\/p\u003e\n\u003cp data-start=\"5176\" data-end=\"5470\"\u003e\u003cstrong data-start=\"5176\" data-end=\"5203\"\u003ePhysical Specifications\u003c\/strong\u003e\u003cbr data-start=\"5203\" data-end=\"5206\"\u003eForm Factor: Compact Desktop AI Computer\u003cbr data-start=\"5246\" data-end=\"5249\"\u003eProcessor: NVIDIA GB10 Grace Blackwell Superchip\u003cbr data-start=\"5297\" data-end=\"5300\"\u003eMemory: 128 GB LPDDR5x Unified Memory\u003cbr data-start=\"5337\" data-end=\"5340\"\u003eStorage: 4 TB PCIe 4.0 NVMe M.2 SSD\u003cbr data-start=\"5375\" data-end=\"5378\"\u003eNetworking: 10GbE, Wi-Fi 7, Bluetooth 5.x\u003cbr data-start=\"5419\" data-end=\"5422\"\u003eOperating System: NVIDIA DGX™ OS, Ubuntu Linux\u003c\/p\u003e\n\u003cp data-start=\"5472\" data-end=\"5662\"\u003e\u003cstrong data-start=\"5472\" data-end=\"5492\"\u003ePackage Contents\u003c\/strong\u003e\u003cbr data-start=\"5492\" data-end=\"5495\"\u003eGigabyte AI TOP ATOM Personal AI Computer\u003cbr data-start=\"5536\" data-end=\"5539\"\u003ePower Adapter and Power Cable\u003cbr data-start=\"5568\" data-end=\"5571\"\u003eQuick Start Guide\u003cbr data-start=\"5588\" data-end=\"5591\"\u003eDocumentation\u003cbr data-start=\"5604\" data-end=\"5607\"\u003ePreloaded NVIDIA DGX™ OS and Ubuntu Linux Environment\u003c\/p\u003e\n\u003cp data-start=\"5664\" data-end=\"6104\"\u003e\u003cstrong data-start=\"5664\" data-end=\"5680\"\u003eKey Features\u003c\/strong\u003e\u003cbr data-start=\"5680\" data-end=\"5683\"\u003eNVIDIA GB10 Grace Blackwell Superchip\u003cbr data-start=\"5720\" data-end=\"5723\"\u003e128 GB LPDDR5x Unified Memory\u003cbr data-start=\"5752\" data-end=\"5755\"\u003e4 TB PCIe 4.0 NVMe M.2 SSD\u003cbr data-start=\"5781\" data-end=\"5784\"\u003eUp to 1 PetaFLOP FP4 AI Performance\u003cbr data-start=\"5819\" data-end=\"5822\"\u003eNVIDIA Blackwell GPU Architecture\u003cbr data-start=\"5855\" data-end=\"5858\"\u003eNVIDIA DGX™ OS Preinstalled\u003cbr data-start=\"5885\" data-end=\"5888\"\u003e10GbE Network Connectivity\u003cbr data-start=\"5914\" data-end=\"5917\"\u003eWi-Fi 7 and Bluetooth Support\u003cbr data-start=\"5946\" data-end=\"5949\"\u003eGenerative AI and LLM Ready\u003cbr data-start=\"5976\" data-end=\"5979\"\u003eCompact Desktop AI Workstation Design\u003cbr data-start=\"6016\" data-end=\"6019\"\u003eEnterprise and Research AI Development Platform\u003cbr data-start=\"6066\" data-end=\"6069\"\u003eOptimized for Local AI Processing\u003c\/p\u003e\n\u003cp data-start=\"6106\" data-end=\"6509\"\u003e\u003cstrong data-start=\"6106\" data-end=\"6127\"\u003eTypical Use Cases\u003c\/strong\u003e\u003cbr data-start=\"6127\" data-end=\"6130\"\u003eLarge Language Model (LLM) Inference\u003cbr data-start=\"6166\" data-end=\"6169\"\u003eAI Model Development\u003cbr data-start=\"6189\" data-end=\"6192\"\u003eGenerative AI Applications\u003cbr data-start=\"6218\" data-end=\"6221\"\u003eMachine Learning Research\u003cbr data-start=\"6246\" data-end=\"6249\"\u003eData Science Projects\u003cbr data-start=\"6270\" data-end=\"6273\"\u003eUniversity and Academic Research\u003cbr data-start=\"6305\" data-end=\"6308\"\u003eAI Agent Development\u003cbr data-start=\"6328\" data-end=\"6331\"\u003eComputer Vision Applications\u003cbr data-start=\"6359\" data-end=\"6362\"\u003eNatural Language Processing Workloads\u003cbr data-start=\"6399\" data-end=\"6402\"\u003eEnterprise AI Prototyping\u003cbr data-start=\"6427\" data-end=\"6430\"\u003eEdge AI Computing Deployments\u003cbr data-start=\"6459\" data-end=\"6462\"\u003eLocal AI Development Without Cloud Dependency\u003c\/p\u003e\n\u003cp data-start=\"6511\" data-end=\"6827\" data-is-last-node=\"\" data-is-only-node=\"\"\u003e\u003cstrong data-start=\"6511\" data-end=\"6535\"\u003eOrdering Information\u003c\/strong\u003e\u003cbr data-start=\"6535\" data-end=\"6538\"\u003eModel: Gigabyte AI TOP ATOM Personal AI Computer 4TB\u003cbr data-start=\"6590\" data-end=\"6593\"\u003ePart Number: ATAGB10-9000\u003cbr data-start=\"6618\" data-end=\"6621\"\u003eConfiguration: NVIDIA GB10 \/ 128GB LPDDR5x \/ PCIe 4.0 4TB NVMe M.2 SSD \/ NVIDIA DGX™ OS \/ Ubuntu Linux\u003c\/p\u003e","brand":"Nvidia","offers":[{"title":"Default Title","offer_id":51373622362276,"sku":"ATAGB10-9001","price":8450.0,"currency_code":"SGD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0605\/0136\/0804\/files\/gigabyte-ai-top-atom-personal-ai-computer-4tb-3819840.jpg?v=1767711611"},{"product_id":"gigabyte-ai-top-atom-personal-ai-computer-1tb-pcie4-0","title":"Gigabyte AI TOP ATOM Personal AI Computer 1TB (PCIe4.0)","description":"\u003ch2\u003e\n\u003cstrong\u003eGigabyte AI TOP ATOM Personal AI Computer 1TB (GB10 \/ 128GB LPDDR5x \/ \u003cspan style=\"color: rgb(255, 42, 0);\"\u003ePCIe4.0\u003c\/span\u003e 1TB NVMe M.2 SSD \/ NVIDIA DGX™ OS, Ubuntu Linux (ATAGB10-9000) - 3 Year Local Warranty \u003c\/strong\u003e\n\u003c\/h2\u003e\n\u003cp data-start=\"1731\" data-end=\"2325\" data-is-last-node=\"\" data-is-only-node=\"\"\u003e\u003ciframe title=\"YouTube video player\" src=\"https:\/\/www.youtube.com\/embed\/Sd2Ie68OD_o?si=s0psw3fnKrfzFmAM\" height=\"315\" width=\"560\"\u003e\u003c\/iframe\u003e\u003c\/p\u003e\n\u003ch3 data-start=\"209\" data-end=\"263\"\u003e\u003cstrong data-start=\"209\" data-end=\"261\"\u003eCompact AI Workstation for Modern AI Development\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp data-start=\"265\" data-end=\"702\"\u003eThe Gigabyte AI TOP ATOM Personal AI Computer 1TB (ATAGB10-9000) is a powerful AI workstation designed for developers, researchers, educators, and enterprises seeking a dedicated platform for artificial intelligence and machine learning workloads. Powered by the NVIDIA GB10 architecture and featuring 128GB LPDDR5x unified memory, this compact system delivers exceptional AI performance while maintaining a desktop-friendly footprint.\u003c\/p\u003e\n\u003ch3 data-start=\"704\" data-end=\"759\"\u003e\u003cstrong data-start=\"704\" data-end=\"757\"\u003eBuilt for Generative AI and Large Language Models\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp data-start=\"761\" data-end=\"1163\"\u003eDesigned to support advanced AI applications, the Gigabyte AI TOP ATOM enables users to develop, test, and deploy large language models (LLMs), generative AI solutions, retrieval-augmented generation (RAG) systems, and machine learning projects locally. Running AI workloads on-premises helps improve data privacy, reduce latency, and provide greater control over valuable business and research data.\u003c\/p\u003e\n\u003ch3 data-start=\"1165\" data-end=\"1218\"\u003e\u003cstrong data-start=\"1165\" data-end=\"1216\"\u003eHigh-Speed Unified Memory and Fast NVMe Storage\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp data-start=\"1220\" data-end=\"1599\"\u003eEquipped with 128GB LPDDR5x unified memory and a 1TB PCIe 4.0 NVMe M.2 SSD, the system delivers the responsiveness required for AI model inference, data science projects, software development, and analytics workloads. The high-speed storage enables quick access to datasets, development environments, AI frameworks, and project files while ensuring smooth day-to-day operation.\u003c\/p\u003e\n\u003ch3 data-start=\"1601\" data-end=\"1651\"\u003e\u003cstrong data-start=\"1601\" data-end=\"1649\"\u003eAI-Optimized Environment with NVIDIA DGX™ OS\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp data-start=\"1653\" data-end=\"2037\"\u003ePreloaded with NVIDIA DGX™ OS based on Ubuntu Linux, the Gigabyte AI TOP ATOM provides a professional AI development environment optimized for machine learning frameworks, deep learning libraries, and modern AI toolchains. Developers can accelerate innovation using industry-standard AI software while benefiting from an environment specifically designed for AI computing workloads.\u003c\/p\u003e\n\u003ch3 data-start=\"2039\" data-end=\"2081\"\u003e\u003cstrong data-start=\"2039\" data-end=\"2079\"\u003eTechnical Specifications\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp data-start=\"0\" data-end=\"625\"\u003e\u003cstrong data-start=\"0\" data-end=\"11\"\u003eGeneral\u003c\/strong\u003e\u003cbr data-start=\"11\" data-end=\"14\"\u003eModel: AI TOP ATOM Personal AI Computer 1TB\u003cbr data-start=\"57\" data-end=\"60\"\u003ePart Number: ATAGB10-9000\u003cbr data-start=\"85\" data-end=\"88\"\u003eProduct Name: Gigabyte AI TOP ATOM Personal AI Computer 1TB\u003cbr data-start=\"147\" data-end=\"150\"\u003eManufacturer: \u003cspan class=\"hover:entity-accent entity-underline inline cursor-pointer align-baseline\"\u003e\u003cspan class=\"whitespace-normal\"\u003eGigabyte Technology\u003c\/span\u003e\u003c\/span\u003e\u003cbr data-start=\"201\" data-end=\"204\"\u003eProduct Type: Personal AI Supercomputer\u003cbr data-start=\"243\" data-end=\"246\"\u003ePlatform: NVIDIA GB10 Grace Blackwell Superchip\u003cbr data-start=\"293\" data-end=\"296\"\u003eForm Factor: Compact Desktop AI Computer\u003cbr data-start=\"336\" data-end=\"339\"\u003eOperating System: NVIDIA DGX™ OS, Ubuntu Linux\u003cbr data-start=\"385\" data-end=\"388\"\u003eTarget Users: AI Developers, Researchers, Data Scientists, Universities, Enterprise AI Teams\u003cbr data-start=\"480\" data-end=\"483\"\u003eDeployment Type: AI Development, Generative AI, Machine Learning, LLM Inference, Edge AI Computing\u003cbr data-start=\"581\" data-end=\"584\"\u003eWarranty: Manufacturer Limited Warranty\u003c\/p\u003e\n\u003cp data-start=\"627\" data-end=\"1008\"\u003e\u003cstrong data-start=\"627\" data-end=\"655\"\u003eProcessor Specifications\u003c\/strong\u003e\u003cbr data-start=\"655\" data-end=\"658\"\u003eProcessor Platform: NVIDIA GB10 Grace Blackwell Superchip\u003cbr data-start=\"715\" data-end=\"718\"\u003eCPU Architecture: NVIDIA Grace ARM Architecture\u003cbr data-start=\"765\" data-end=\"768\"\u003eCPU Configuration: 20-Core CPU\u003cbr data-start=\"798\" data-end=\"801\"\u003eCPU Core Layout: 10× Cortex-X925 + 10× Cortex-A725\u003cbr data-start=\"851\" data-end=\"854\"\u003eProcessor Performance: Optimized for AI, Data Science, and High-Performance Computing Workloads\u003cbr data-start=\"949\" data-end=\"952\"\u003eSystem Architecture: Unified CPU and GPU Memory Design\u003c\/p\u003e\n\u003cp data-start=\"1010\" data-end=\"1434\"\u003e\u003cstrong data-start=\"1010\" data-end=\"1032\"\u003eGPU Specifications\u003c\/strong\u003e\u003cbr data-start=\"1032\" data-end=\"1035\"\u003eGPU Architecture: NVIDIA Blackwell GPU\u003cbr data-start=\"1073\" data-end=\"1076\"\u003eCUDA Technology: Supported\u003cbr data-start=\"1102\" data-end=\"1105\"\u003eTensor Cores: Latest Generation Tensor Cores\u003cbr data-start=\"1149\" data-end=\"1152\"\u003eRay Tracing Cores: Supported\u003cbr data-start=\"1180\" data-end=\"1183\"\u003eAI Compute Performance: Up to 1 PetaFLOP FP4 AI Performance\u003cbr data-start=\"1242\" data-end=\"1245\"\u003eNVIDIA AI Software Stack: Supported\u003cbr data-start=\"1280\" data-end=\"1283\"\u003eGenerative AI Processing: Supported\u003cbr data-start=\"1318\" data-end=\"1321\"\u003eLarge Language Model (LLM) Support: Supported\u003cbr data-start=\"1366\" data-end=\"1369\"\u003eNVIDIA TensorRT: Supported\u003cbr data-start=\"1395\" data-end=\"1398\"\u003eNVIDIA CUDA-X Libraries: Supported\u003c\/p\u003e\n\u003cp data-start=\"1436\" data-end=\"1711\"\u003e\u003cstrong data-start=\"1436\" data-end=\"1461\"\u003eMemory Specifications\u003c\/strong\u003e\u003cbr data-start=\"1461\" data-end=\"1464\"\u003eInstalled Memory: 128 GB\u003cbr data-start=\"1488\" data-end=\"1491\"\u003eMemory Type: LPDDR5x Unified Memory\u003cbr data-start=\"1526\" data-end=\"1529\"\u003eMemory Architecture: Shared CPU-GPU Unified Memory\u003cbr data-start=\"1579\" data-end=\"1582\"\u003eMemory Bandwidth: Up to 273 GB\/s\u003cbr data-start=\"1614\" data-end=\"1617\"\u003eECC Protection: Supported\u003cbr data-start=\"1642\" data-end=\"1645\"\u003eAI Model Optimization: Designed for Large AI Models and Datasets\u003c\/p\u003e\n\u003cp data-start=\"1713\" data-end=\"1935\"\u003e\u003cstrong data-start=\"1713\" data-end=\"1739\"\u003eStorage Specifications\u003c\/strong\u003e\u003cbr data-start=\"1739\" data-end=\"1742\"\u003eInstalled Storage: 1 TB\u003cbr data-start=\"1765\" data-end=\"1768\"\u003eStorage Type: NVMe M.2 SSD\u003cbr data-start=\"1794\" data-end=\"1797\"\u003eSSD Interface: PCIe 4.0\u003cbr data-start=\"1820\" data-end=\"1823\"\u003eStorage Expansion: Configuration Dependent\u003cbr data-start=\"1865\" data-end=\"1868\"\u003eHigh-Speed Data Access: Supported\u003cbr data-start=\"1901\" data-end=\"1904\"\u003eAI Dataset Storage: Supported\u003c\/p\u003e\n\u003cp data-start=\"1937\" data-end=\"2367\"\u003e\u003cstrong data-start=\"1937\" data-end=\"1971\"\u003eAI \u0026amp; Machine Learning Features\u003c\/strong\u003e\u003cbr data-start=\"1971\" data-end=\"1974\"\u003eLarge Language Model (LLM) Development: Supported\u003cbr data-start=\"2023\" data-end=\"2026\"\u003eAI Inference: Supported\u003cbr data-start=\"2049\" data-end=\"2052\"\u003eAI Fine-Tuning: Supported\u003cbr data-start=\"2077\" data-end=\"2080\"\u003eRetrieval-Augmented Generation (RAG): Supported\u003cbr data-start=\"2127\" data-end=\"2130\"\u003eGenerative AI Applications: Supported\u003cbr data-start=\"2167\" data-end=\"2170\"\u003eAI Agent Development: Supported\u003cbr data-start=\"2201\" data-end=\"2204\"\u003eComputer Vision Workloads: Supported\u003cbr data-start=\"2240\" data-end=\"2243\"\u003eNatural Language Processing (NLP): Supported\u003cbr data-start=\"2287\" data-end=\"2290\"\u003eDeep Learning Framework Support: Supported\u003cbr data-start=\"2332\" data-end=\"2335\"\u003eLocal AI Processing: Supported\u003c\/p\u003e\n\u003cp data-start=\"2369\" data-end=\"2633\"\u003e\u003cstrong data-start=\"2369\" data-end=\"2403\"\u003eSoftware \u0026amp; Development Support\u003c\/strong\u003e\u003cbr data-start=\"2403\" data-end=\"2406\"\u003eOperating System: NVIDIA DGX™ OS\u003cbr data-start=\"2438\" data-end=\"2441\"\u003eLinux Distribution: Ubuntu Linux\u003cbr data-start=\"2473\" data-end=\"2476\"\u003eCUDA Toolkit: Supported\u003cbr data-start=\"2499\" data-end=\"2502\"\u003eNVIDIA TensorRT: Supported\u003cbr data-start=\"2528\" data-end=\"2531\"\u003eNVIDIA NIM Microservices: Supported\u003cbr data-start=\"2566\" data-end=\"2569\"\u003eDocker Support: Supported\u003cbr data-start=\"2594\" data-end=\"2597\"\u003eContainerized Workloads: Supported\u003c\/p\u003e\n\u003cp data-start=\"2635\" data-end=\"2724\"\u003eSupported AI Frameworks:\u003cbr data-start=\"2659\" data-end=\"2662\"\u003e• PyTorch\u003cbr data-start=\"2671\" data-end=\"2674\"\u003e• TensorFlow\u003cbr data-start=\"2686\" data-end=\"2689\"\u003e• JAX\u003cbr data-start=\"2694\" data-end=\"2697\"\u003e• ONNX Runtime\u003cbr data-start=\"2711\" data-end=\"2714\"\u003e• RAPIDS\u003c\/p\u003e\n\u003cp data-start=\"2726\" data-end=\"2932\"\u003e\u003cstrong data-start=\"2726\" data-end=\"2755\"\u003eNetworking Specifications\u003c\/strong\u003e\u003cbr data-start=\"2755\" data-end=\"2758\"\u003eEthernet: 10 Gigabit Ethernet (10GbE)\u003cbr data-start=\"2795\" data-end=\"2798\"\u003eWireless Connectivity: Wi-Fi 7\u003cbr data-start=\"2828\" data-end=\"2831\"\u003eBluetooth: Bluetooth 5.x\u003cbr data-start=\"2855\" data-end=\"2858\"\u003eRemote Access Support: Supported\u003cbr data-start=\"2890\" data-end=\"2893\"\u003eHigh-Speed Data Networking: Supported\u003c\/p\u003e\n\u003cp data-start=\"2934\" data-end=\"3146\"\u003e\u003cstrong data-start=\"2934\" data-end=\"2958\"\u003eConnectivity \u0026amp; Ports\u003c\/strong\u003e\u003cbr data-start=\"2958\" data-end=\"2961\"\u003eUSB Type-C Ports: Supported\u003cbr data-start=\"2988\" data-end=\"2991\"\u003eUSB Type-A Ports: Supported\u003cbr data-start=\"3018\" data-end=\"3021\"\u003eHDMI Output: Supported\u003cbr data-start=\"3043\" data-end=\"3046\"\u003eDisplay Connectivity: Supported\u003cbr data-start=\"3077\" data-end=\"3080\"\u003eRJ-45 Ethernet Port: Supported\u003cbr data-start=\"3110\" data-end=\"3113\"\u003ePeripheral Expansion: Supported\u003c\/p\u003e\n\u003cp data-start=\"3148\" data-end=\"3324\"\u003e\u003cstrong data-start=\"3148\" data-end=\"3169\"\u003eSecurity Features\u003c\/strong\u003e\u003cbr data-start=\"3169\" data-end=\"3172\"\u003eSecure Boot: Supported\u003cbr data-start=\"3194\" data-end=\"3197\"\u003eOperating System Security Updates: Supported\u003cbr data-start=\"3241\" data-end=\"3244\"\u003eEncrypted Storage Support: Supported\u003cbr data-start=\"3280\" data-end=\"3283\"\u003eEnterprise Security Features: Supported\u003c\/p\u003e\n\u003cp data-start=\"3326\" data-end=\"3467\"\u003e\u003cstrong data-start=\"3326\" data-end=\"3350\"\u003ePower Specifications\u003c\/strong\u003e\u003cbr data-start=\"3350\" data-end=\"3353\"\u003ePower Efficiency: Optimized for AI Computing\u003cbr data-start=\"3397\" data-end=\"3400\"\u003ePower Supply: Included\u003cbr data-start=\"3422\" data-end=\"3425\"\u003eEnergy Efficient Architecture: Supported\u003c\/p\u003e\n\u003cp data-start=\"3469\" data-end=\"3638\"\u003e\u003cstrong data-start=\"3469\" data-end=\"3495\"\u003eCooling Specifications\u003c\/strong\u003e\u003cbr data-start=\"3495\" data-end=\"3498\"\u003eCooling System: Active Cooling Design\u003cbr data-start=\"3535\" data-end=\"3538\"\u003eThermal Optimization: Supported\u003cbr data-start=\"3569\" data-end=\"3572\"\u003eAI Workload Cooling: Supported\u003cbr data-start=\"3602\" data-end=\"3605\"\u003eContinuous Operation: Supported\u003c\/p\u003e\n\u003cp data-start=\"3640\" data-end=\"3998\"\u003e\u003cstrong data-start=\"3640\" data-end=\"3663\"\u003eSupported Workloads\u003c\/strong\u003e\u003cbr data-start=\"3663\" data-end=\"3666\"\u003eLarge Language Models (LLMs)\u003cbr data-start=\"3694\" data-end=\"3697\"\u003eGenerative AI Applications\u003cbr data-start=\"3723\" data-end=\"3726\"\u003eAI Model Inference\u003cbr data-start=\"3744\" data-end=\"3747\"\u003eMachine Learning Development\u003cbr data-start=\"3775\" data-end=\"3778\"\u003eData Science Workloads\u003cbr data-start=\"3800\" data-end=\"3803\"\u003eComputer Vision Applications\u003cbr data-start=\"3831\" data-end=\"3834\"\u003eNatural Language Processing\u003cbr data-start=\"3861\" data-end=\"3864\"\u003eAI Agent Development\u003cbr data-start=\"3884\" data-end=\"3887\"\u003eResearch and Academic Computing\u003cbr data-start=\"3918\" data-end=\"3921\"\u003eEdge AI Deployments\u003cbr data-start=\"3940\" data-end=\"3943\"\u003eLocal AI Computing\u003cbr data-start=\"3961\" data-end=\"3964\"\u003eSoftware Development and Testing\u003c\/p\u003e\n\u003cp data-start=\"4000\" data-end=\"4234\"\u003e\u003cstrong data-start=\"4000\" data-end=\"4025\"\u003eDesign \u0026amp; Construction\u003c\/strong\u003e\u003cbr data-start=\"4025\" data-end=\"4028\"\u003eForm Factor: Compact Desktop AI Workstation\u003cbr data-start=\"4071\" data-end=\"4074\"\u003eChassis Design: AI Computing Optimized\u003cbr data-start=\"4112\" data-end=\"4115\"\u003eDeployment Flexibility: Office, Lab, Research, Enterprise Environment\u003cbr data-start=\"4184\" data-end=\"4187\"\u003eConstruction: Enterprise-Grade Compact Design\u003c\/p\u003e\n\u003cp data-start=\"4236\" data-end=\"4611\"\u003e\u003cstrong data-start=\"4236\" data-end=\"4248\"\u003eFeatures\u003c\/strong\u003e\u003cbr data-start=\"4248\" data-end=\"4251\"\u003eNVIDIA GB10 Grace Blackwell Superchip\u003cbr data-start=\"4288\" data-end=\"4291\"\u003e128 GB LPDDR5x Unified Memory\u003cbr data-start=\"4320\" data-end=\"4323\"\u003e1 TB PCIe 4.0 NVMe M.2 SSD\u003cbr data-start=\"4349\" data-end=\"4352\"\u003eNVIDIA Blackwell GPU Architecture\u003cbr data-start=\"4385\" data-end=\"4388\"\u003eUp to 1 PetaFLOP FP4 AI Performance\u003cbr data-start=\"4423\" data-end=\"4426\"\u003eNVIDIA DGX™ OS Preloaded\u003cbr data-start=\"4450\" data-end=\"4453\"\u003eUbuntu Linux Support\u003cbr data-start=\"4473\" data-end=\"4476\"\u003e10GbE Networking\u003cbr data-start=\"4492\" data-end=\"4495\"\u003eWi-Fi 7 Connectivity\u003cbr data-start=\"4515\" data-end=\"4518\"\u003eCompact Desktop Form Factor\u003cbr data-start=\"4545\" data-end=\"4548\"\u003eEnterprise AI Ready Platform\u003cbr data-start=\"4576\" data-end=\"4579\"\u003eLocal AI Processing Capability\u003c\/p\u003e\n\u003cp data-start=\"4613\" data-end=\"5175\"\u003e\u003cstrong data-start=\"4613\" data-end=\"4639\"\u003ePerformance \u0026amp; Features\u003c\/strong\u003e\u003cbr data-start=\"4639\" data-end=\"4642\"\u003eDesigned for local AI development and inference workloads\u003cbr data-start=\"4699\" data-end=\"4702\"\u003eSupports advanced generative AI applications without cloud dependency\u003cbr data-start=\"4771\" data-end=\"4774\"\u003eEnables experimentation and deployment of large language models\u003cbr data-start=\"4837\" data-end=\"4840\"\u003eProvides high-bandwidth unified memory architecture for AI workloads\u003cbr data-start=\"4908\" data-end=\"4911\"\u003eOptimized for developers, researchers, and enterprise AI teams\u003cbr data-start=\"4973\" data-end=\"4976\"\u003eSupports modern AI frameworks and NVIDIA software ecosystem\u003cbr data-start=\"5035\" data-end=\"5038\"\u003eOffers workstation-class AI performance in a compact desktop footprint\u003cbr data-start=\"5108\" data-end=\"5111\"\u003eBuilt for continuous AI computing and development environments\u003c\/p\u003e\n\u003cp data-start=\"5177\" data-end=\"5471\"\u003e\u003cstrong data-start=\"5177\" data-end=\"5204\"\u003ePhysical Specifications\u003c\/strong\u003e\u003cbr data-start=\"5204\" data-end=\"5207\"\u003eForm Factor: Compact Desktop AI Computer\u003cbr data-start=\"5247\" data-end=\"5250\"\u003eProcessor: NVIDIA GB10 Grace Blackwell Superchip\u003cbr data-start=\"5298\" data-end=\"5301\"\u003eMemory: 128 GB LPDDR5x Unified Memory\u003cbr data-start=\"5338\" data-end=\"5341\"\u003eStorage: 1 TB PCIe 4.0 NVMe M.2 SSD\u003cbr data-start=\"5376\" data-end=\"5379\"\u003eNetworking: 10GbE, Wi-Fi 7, Bluetooth 5.x\u003cbr data-start=\"5420\" data-end=\"5423\"\u003eOperating System: NVIDIA DGX™ OS, Ubuntu Linux\u003c\/p\u003e\n\u003cp data-start=\"5473\" data-end=\"5663\"\u003e\u003cstrong data-start=\"5473\" data-end=\"5493\"\u003ePackage Contents\u003c\/strong\u003e\u003cbr data-start=\"5493\" data-end=\"5496\"\u003eGigabyte AI TOP ATOM Personal AI Computer\u003cbr data-start=\"5537\" data-end=\"5540\"\u003ePower Adapter and Power Cable\u003cbr data-start=\"5569\" data-end=\"5572\"\u003eQuick Start Guide\u003cbr data-start=\"5589\" data-end=\"5592\"\u003eDocumentation\u003cbr data-start=\"5605\" data-end=\"5608\"\u003ePreloaded NVIDIA DGX™ OS and Ubuntu Linux Environment\u003c\/p\u003e\n\u003cp data-start=\"5665\" data-end=\"6105\"\u003e\u003cstrong data-start=\"5665\" data-end=\"5681\"\u003eKey Features\u003c\/strong\u003e\u003cbr data-start=\"5681\" data-end=\"5684\"\u003eNVIDIA GB10 Grace Blackwell Superchip\u003cbr data-start=\"5721\" data-end=\"5724\"\u003e128 GB LPDDR5x Unified Memory\u003cbr data-start=\"5753\" data-end=\"5756\"\u003e1 TB PCIe 4.0 NVMe M.2 SSD\u003cbr data-start=\"5782\" data-end=\"5785\"\u003eUp to 1 PetaFLOP FP4 AI Performance\u003cbr data-start=\"5820\" data-end=\"5823\"\u003eNVIDIA Blackwell GPU Architecture\u003cbr data-start=\"5856\" data-end=\"5859\"\u003eNVIDIA DGX™ OS Preinstalled\u003cbr data-start=\"5886\" data-end=\"5889\"\u003e10GbE Network Connectivity\u003cbr data-start=\"5915\" data-end=\"5918\"\u003eWi-Fi 7 and Bluetooth Support\u003cbr data-start=\"5947\" data-end=\"5950\"\u003eGenerative AI and LLM Ready\u003cbr data-start=\"5977\" data-end=\"5980\"\u003eCompact Desktop AI Workstation Design\u003cbr data-start=\"6017\" data-end=\"6020\"\u003eEnterprise and Research AI Development Platform\u003cbr data-start=\"6067\" data-end=\"6070\"\u003eOptimized for Local AI Processing\u003c\/p\u003e\n\u003cp data-start=\"6107\" data-end=\"6510\"\u003e\u003cstrong data-start=\"6107\" data-end=\"6128\"\u003eTypical Use Cases\u003c\/strong\u003e\u003cbr data-start=\"6128\" data-end=\"6131\"\u003eLarge Language Model (LLM) Inference\u003cbr data-start=\"6167\" data-end=\"6170\"\u003eAI Model Development\u003cbr data-start=\"6190\" data-end=\"6193\"\u003eGenerative AI Applications\u003cbr data-start=\"6219\" data-end=\"6222\"\u003eMachine Learning Research\u003cbr data-start=\"6247\" data-end=\"6250\"\u003eData Science Projects\u003cbr data-start=\"6271\" data-end=\"6274\"\u003eUniversity and Academic Research\u003cbr data-start=\"6306\" data-end=\"6309\"\u003eAI Agent Development\u003cbr data-start=\"6329\" data-end=\"6332\"\u003eComputer Vision Applications\u003cbr data-start=\"6360\" data-end=\"6363\"\u003eNatural Language Processing Workloads\u003cbr data-start=\"6400\" data-end=\"6403\"\u003eEnterprise AI Prototyping\u003cbr data-start=\"6428\" data-end=\"6431\"\u003eEdge AI Computing Deployments\u003cbr data-start=\"6460\" data-end=\"6463\"\u003eLocal AI Development Without Cloud Dependency\u003c\/p\u003e\n\u003cp data-start=\"6512\" data-end=\"6828\" data-is-last-node=\"\" data-is-only-node=\"\"\u003e\u003cstrong data-start=\"6512\" data-end=\"6536\"\u003eOrdering Information\u003c\/strong\u003e\u003cbr data-start=\"6536\" data-end=\"6539\"\u003eModel: Gigabyte AI TOP ATOM Personal AI Computer 1TB\u003cbr data-start=\"6591\" data-end=\"6594\"\u003ePart Number: ATAGB10-9000\u003cbr data-start=\"6619\" data-end=\"6622\"\u003eConfiguration: NVIDIA GB10 \/ 128GB LPDDR5x \/ PCIe 4.0 1TB NVMe M.2 SSD \/ NVIDIA DGX™ OS \/ Ubuntu Linux\u003c\/p\u003e","brand":"Nvidia","offers":[{"title":"Default Title","offer_id":51373623804068,"sku":"ATAGB10-9002","price":7495.0,"currency_code":"SGD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0605\/0136\/0804\/files\/gigabyte-ai-top-atom-personal-ai-computer-4tb-3819840.jpg?v=1767711611"},{"product_id":"hp-zgx-0-4m-qsfp112-ethernet-dac-cable","title":"HP ZGX 0.4m QSFP112 Ethernet DAC Cable","description":"\u003ch2\u003e\u003cstrong\u003eHPE ProLiant DL360 Gen11 Rack Server (Advance CTO, Please Enquire for Further Information) - Local Warranty \u003c\/strong\u003e\u003c\/h2\u003e\n\u003ch3\u003e\u003cstrong\u003eIndustry-Leading 1U Rack Server for Enterprise Environments\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp\u003eThe HPE ProLiant DL360 Gen11 Rack Server is the industry's most trusted 1U two-processor rack server, designed for enterprise environments requiring exceptional compute density, performance, and reliability. Supporting the latest Intel Xeon Scalable processors, DDR5 memory, and PCIe Gen5 technology, the DL360 Gen11 delivers outstanding performance for virtualization, database workloads, cloud infrastructure, and business-critical applications.\u003c\/p\u003e\n\u003ch3\u003e\u003cstrong\u003eDual-Processor Performance in a Compact 1U Form Factor\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp\u003eSupporting up to two Intel Xeon Scalable processors in a space-efficient 1U chassis, the HPE ProLiant DL360 Gen11 provides the compute density required for high-performance enterprise workloads. Its balanced architecture enables organizations to consolidate infrastructure, maximize rack density, and reduce data center footprint while maintaining outstanding performance.\u003c\/p\u003e\n\u003ch3\u003e\u003cstrong\u003eFlexible Configure-To-Order Architecture\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp\u003eAvailable as an Advanced CTO (Configure-To-Order) platform, the HPE ProLiant DL360 Gen11 can be extensively configured to meet specific workload requirements. Organizations can tailor processors, memory, storage, RAID, GPU acceleration, high-speed networking, and management options to create a server optimized for their unique operational environment.\u003c\/p\u003e\n\u003ch3\u003e\u003cstrong\u003eEnterprise Security and Advanced Management\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp\u003eThe HPE ProLiant DL360 Gen11 features HPE's Silicon Root of Trust security architecture and iLO 6 management platform, providing enterprise-grade protection, automated firmware management, and comprehensive lifecycle management. These capabilities help organizations reduce risk, automate operations, and maintain infrastructure reliability with confidence.\u003c\/p\u003e\n\u003ch3\u003e\u003cstrong\u003eTechnical Specifications\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp\u003e\u003cstrong\u003eGeneral\u003c\/strong\u003e\u003cbr\u003eModel: ProLiant DL360 Gen11\u003cbr\u003eProduct Name: HPE ProLiant DL360 Gen11 Rack Server\u003cbr\u003eManufacturer: HPE (Hewlett Packard Enterprise)\u003cbr\u003eProduct Type: Rack Server\u003cbr\u003eForm Factor: 1U Rack Server\u003cbr\u003eServer Class: Enterprise-Class Dual-Processor Rack Server\u003cbr\u003eProcessor Platform: Intel® Xeon® Scalable 4th \u0026amp; 5th Generation Processors\u003cbr\u003eSocket Configuration: Dual Socket (2S)\u003cbr\u003eMemory Technology: DDR5 ECC RDIMM\u003cbr\u003eStorage Architecture: SAS \/ SATA \/ NVMe Storage Support\u003cbr\u003eManagement Controller: HPE Integrated Lights-Out (iLO 6)\u003cbr\u003eDeployment Type: Enterprise Virtualization, Database, Cloud Infrastructure, Business-Critical Applications\u003cbr\u003eConfiguration: CTO (Configure-To-Order)\u003cbr\u003eAvailability: Advance CTO – Please Enquire for Further Information\u003cbr\u003eWarranty: HPE Limited Hardware Warranty (Configuration Dependent)\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eProcessor Specifications\u003c\/strong\u003e\u003cbr\u003eProcessor Family: Intel® Xeon® Scalable 4th Generation Processors\u003cbr\u003eProcessor Family: Intel® Xeon® Scalable 5th Generation Processors\u003cbr\u003eProcessor Support: Dual Processor (Up to 2 Processors)\u003cbr\u003eMaximum Cores: Up to 128 Cores (with Dual Processors)\u003cbr\u003eMaximum Threads: Up to 256 Threads\u003cbr\u003eProcessor Architecture: Intel® 64-Bit Architecture\u003cbr\u003ePerformance Optimization: Enterprise Virtualization, Database, Cloud Workloads, HPC\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eMemory Specifications\u003c\/strong\u003e\u003cbr\u003eMemory Type: DDR5 ECC RDIMM\u003cbr\u003eMemory Slots: Up to 32 DIMM Slots\u003cbr\u003eMaximum Memory Capacity: Up to 4 TB DDR5\u003cbr\u003eMemory Speed: Up to 5600 MT\/s\u003cbr\u003eError Correction: ECC Supported\u003cbr\u003eMemory Scalability: Large-Scale Enterprise Memory Architecture\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eStorage Specifications\u003c\/strong\u003e\u003cbr\u003eSupported Drive Types:\u003cbr\u003e• NVMe SSD\u003cbr\u003e• SAS SSD\u003cbr\u003e• SATA SSD\u003cbr\u003e• SAS HDD\u003cbr\u003e• SATA HDD\u003cbr\u003eDrive Bay Options: Configuration Dependent\u003cbr\u003eMaximum Storage Capacity: Configuration Dependent\u003cbr\u003eHot-Plug Drive Support: Supported\u003cbr\u003eRAID Support: Supported\u003cbr\u003eBoot Optimized Storage: Supported\u003cbr\u003eNVMe Direct Attach Support: Supported\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eExpansion and I\/O\u003c\/strong\u003e\u003cbr\u003ePCIe Generation: PCIe Gen5\u003cbr\u003eExpansion Slots: Multiple PCIe Gen5 Slots\u003cbr\u003eUSB Ports: Supported\u003cbr\u003eVGA Port: Supported\u003cbr\u003eSerial Port: Optional\u003cbr\u003eNetwork Ports: Integrated Ethernet Connectivity\u003cbr\u003eDedicated Management Port: Supported\u003cbr\u003eOCP Network Support: Supported\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eGPU and Accelerator Support\u003c\/strong\u003e\u003cbr\u003eGPU Support: Supported\u003cbr\u003eGPU Acceleration: Supported\u003cbr\u003eAI Inferencing Support: Supported\u003cbr\u003eLow-Profile GPU Support: Supported\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eManagement Features\u003c\/strong\u003e\u003cbr\u003eRemote Management: HPE iLO 6\u003cbr\u003eServer Health Monitoring: Supported\u003cbr\u003ePower Monitoring: Supported\u003cbr\u003eFirmware Management: Supported\u003cbr\u003eRemote Console Access: Supported\u003cbr\u003eAutomated Provisioning: Supported\u003cbr\u003ePredictive Failure Analysis: Supported\u003cbr\u003eEnterprise Lifecycle Management: Supported\u003cbr\u003eOne-Click Firmware Updates: Supported\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eNetworking Features\u003c\/strong\u003e\u003cbr\u003eIntegrated Ethernet Connectivity: Supported\u003cbr\u003eOCP Mezzanine Network Adapter: Supported\u003cbr\u003eHigh-Speed Network Expansion: Supported\u003cbr\u003eVirtualization Networking: Supported\u003cbr\u003eCloud Connectivity: Supported\u003cbr\u003eSoftware Defined Networking: Supported\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eSecurity Features\u003c\/strong\u003e\u003cbr\u003eHPE Silicon Root of Trust: Supported\u003cbr\u003eSecure Boot: Supported\u003cbr\u003eTPM 2.0: Supported\u003cbr\u003eSecure Recovery: Supported\u003cbr\u003eFirmware Validation: Supported\u003cbr\u003eRuntime Firmware Protection: Supported\u003cbr\u003eCyber Resilient Architecture: Supported\u003cbr\u003eIntrusion Detection: Supported\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003ePower Specifications\u003c\/strong\u003e\u003cbr\u003ePower Supply Type: Enterprise-Class Redundant Power Supply\u003cbr\u003eRedundant Power Supply: Supported\u003cbr\u003eEnergy Efficient Design: Supported\u003cbr\u003eTitanium-Level Power Supply: Supported on Selected Configurations\u003cbr\u003ePower Configurations: Configuration Dependent\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eCooling Specifications\u003c\/strong\u003e\u003cbr\u003eCooling Type: High-Efficiency Air Cooling\u003cbr\u003eThermal Optimization: Supported\u003cbr\u003eRedundant Fan Support: Supported\u003cbr\u003eEnterprise Cooling Design: Supported\u003cbr\u003eContinuous Operation Support: Supported\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eVirtualization Support\u003c\/strong\u003e\u003cbr\u003eVMware ESXi: Supported\u003cbr\u003eMicrosoft Hyper-V: Supported\u003cbr\u003eLinux KVM: Supported\u003cbr\u003eContainerized Workloads: Supported\u003cbr\u003ePrivate Cloud Infrastructure: Supported\u003cbr\u003eEnterprise Virtualization: Supported\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eSupported Operating Systems\u003c\/strong\u003e\u003cbr\u003e• Microsoft Windows Server\u003cbr\u003e• Red Hat Enterprise Linux\u003cbr\u003e• Ubuntu Server\u003cbr\u003e• SUSE Linux Enterprise Server\u003cbr\u003e• VMware ESXi\u003cbr\u003e• Oracle Linux\u003cbr\u003e• Other Supported Enterprise Operating Systems\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eDesign and Construction\u003c\/strong\u003e\u003cbr\u003eForm Factor: 1U Rack Server\u003cbr\u003eChassis Design: High-Density 1U Rack Architecture\u003cbr\u003eDeployment Flexibility: Enterprise Data Center, Private Cloud, HPC, Virtualization Infrastructure\u003cbr\u003eTool-Less Serviceability: Supported\u003cbr\u003eEnterprise Reliability: Supported\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eKey Features\u003c\/strong\u003e\u003cbr\u003eDual Intel Xeon Scalable 4th \u0026amp; 5th Generation Processor Support\u003cbr\u003eUp to 4 TB DDR5 ECC Memory\u003cbr\u003ePCIe Gen5 Expansion Technology\u003cbr\u003eFlexible NVMe, SAS, and SATA Storage Options\u003cbr\u003eHPE iLO 6 Intelligent Management\u003cbr\u003eAdvanced Silicon Root of Trust Security\u003cbr\u003eGPU Acceleration Support\u003cbr\u003e1U High-Density Rack Form Factor\u003cbr\u003eEnterprise Virtualization Ready\u003cbr\u003eRedundant Power and Cooling\u003cbr\u003eConfigure-To-Order Deployment Flexibility\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eTypical Use Cases\u003c\/strong\u003e\u003cbr\u003eEnterprise Virtualization\u003cbr\u003eDatabase Servers\u003cbr\u003ePrivate Cloud Infrastructure\u003cbr\u003eWeb Application Hosting\u003cbr\u003eHPC Workloads\u003cbr\u003eAI Inferencing\u003cbr\u003eBusiness Intelligence Platforms\u003cbr\u003eERP and CRM Applications\u003cbr\u003eData Analytics Workloads\u003cbr\u003eMission-Critical Applications\u003cbr\u003eHigh-Density Server Deployments\u003cbr\u003eEnterprise IT Consolidation\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eOrdering Information\u003c\/strong\u003e\u003cbr\u003eModel: HPE ProLiant DL360 Gen11 Rack Server\u003cbr\u003eConfiguration: Advance CTO (Configure-To-Order)\u003c\/p\u003e\n\u003ch3\u003e\u003cstrong\u003eHow to Configurate Server?\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp\u003e\u003cstrong\u003eStep 1:\u003c\/strong\u003e\u003cbr\u003eWhat is the Server Form Factor? Tower or Rackmount Server?\u003cbr\u003eWhat is the number of CPU Core or Ram or HDD usable size require?\u003cbr\u003eWhat is the number of CPU Processor? 1S or 2S or 4S?\u003cbr\u003eWhat is the RAID Configuration? Any specific HDD or SSD? 7.2K or 10K?\u003cbr\u003eWhat is the specific NIC is required? Base-T 1G or SFP+? Or Fibre Channel?\u003cbr\u003eWhat is the number of year maintenance support required? Minimum 3 years\u003cbr\u003e\u003cbr\u003e\u003cstrong\u003eStep 2:\u003c\/strong\u003e\u003cbr\u003eHow many number of unit Server?\u003cbr\u003eAny VM workload? Required any VMware license? Or Window OS Hyper-V?\u003cbr\u003eHow do you store data currently? Any NAS or SAN Storage?\u003cbr\u003eHow do you doing the backup? Required any backup proposal? IDPA 8TB?\u003cbr\u003eDo you require burn-in test services?\u003cbr\u003eDo you need hard disk retention services?\u003c\/p\u003e","brand":"HP","offers":[{"title":"Default Title","offer_id":51385394495652,"sku":"C20MQAA","price":365.0,"currency_code":"SGD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0605\/0136\/0804\/files\/hp-zgx-04m-qsfp112-ethernet-dac-cable-8308461.png?v=1781865428"},{"product_id":"asus-expertcenter-pro-et900n-g3-gb300-ai-supercomputer","title":"ASUS ExpertCenter Pro ET900N G3 GB300 AI Supercomputer","description":"\u003ch2\u003e\u003cstrong\u003eASUS ExpertCenter Pro ET900N G3 GB300 AI Supercomputer with NVIDIA Grace Blackwell Ultra, 748GB Memory \u0026amp; Dual 400G Networking - Local Warranty \u003c\/strong\u003e\u003c\/h2\u003e\n\u003ch3\u003e\u003cstrong\u003eEnterprise AI Supercomputer Powered by NVIDIA Grace Blackwell Ultra\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp\u003eThe ASUS ExpertCenter Pro ET900N G3 is ASUS's flagship AI supercomputer engineered to accelerate next-generation artificial intelligence, machine learning, and high-performance computing workloads. Powered by the NVIDIA Grace Blackwell Ultra (GB300) Superchip, it delivers exceptional AI performance with up to \u003cstrong\u003e20 PFLOPS\u003c\/strong\u003e of AI compute, enabling organisations to train, fine-tune, and deploy large language models (LLMs), generative AI applications, AI agents, computer vision, and scientific simulations directly within their own infrastructure. It is purpose-built for enterprises, research institutions, government agencies, and AI innovators seeking uncompromising performance with complete data sovereignty.\u003c\/p\u003e\n\u003ch3\u003e\u003cstrong\u003eMassive 748GB Coherent Memory for Large AI Models\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp\u003eDesigned for today's most demanding AI workloads, the ExpertCenter Pro ET900N G3 features an incredible \u003cstrong\u003e748GB of coherent unified memory\u003c\/strong\u003e, allowing significantly larger AI models and datasets to be processed without the memory bottlenecks associated with conventional GPU systems. This unified memory architecture dramatically improves performance for inference, retrieval-augmented generation (RAG), AI agent frameworks, digital twins, engineering simulations, and data-intensive research applications.\u003c\/p\u003e\n\u003ch3\u003e\u003cstrong\u003eUltra-Fast Dual 400G Networking for AI Clusters\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp\u003eThe system is equipped with \u003cstrong\u003edual NVIDIA ConnectX®-8 400GbE QSFP networking\u003c\/strong\u003e, enabling ultra-low latency communication between multiple AI nodes for distributed training and large-scale inference. Whether deployed as a standalone AI workstation or as part of an enterprise AI cluster, the ET900N G3 provides the networking bandwidth required for high-performance computing environments, research laboratories, universities, and private AI clouds.\u003c\/p\u003e\n\u003ch3\u003e\u003cstrong\u003eEnterprise-Class Reliability and Future-Ready AI Infrastructure\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp\u003eBuilt for continuous enterprise operation, the ASUS ExpertCenter Pro ET900N G3 includes integrated Baseboard Management Controller (BMC) for secure remote monitoring and administration, support for NVIDIA Multi-Instance GPU (MIG) technology for multi-tenant AI environments, and enterprise-grade reliability for mission-critical deployments. It provides organisations with a scalable AI platform capable of supporting generative AI, foundation models, cybersecurity, healthcare, financial modelling, engineering, autonomous systems, and advanced scientific research while keeping sensitive data securely on-premises.\u003c\/p\u003e\n\u003cp\u003e\u003ciframe width=\"560\" height=\"315\" src=\"https:\/\/www.youtube.com\/embed\/WNmTKjAAAgs?si=l5sZhGkt2_G4TtHZ\" title=\"YouTube video player\"\u003e\u003c\/iframe\u003e\u003c\/p\u003e\n\u003ch3\u003e\u003cstrong\u003eTechnical Specifications\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp\u003e\u003cstrong\u003eGeneral\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eModel: ExpertCenter Pro ET900N G3\u003cbr\u003eProduct Name: ASUS ExpertCenter Pro ET900N G3 GB300 AI Supercomputer with NVIDIA Grace Blackwell Ultra, 748GB Memory \u0026amp; Dual 400G Networking\u003cbr\u003eManufacturer: ASUS\u003cbr\u003eProduct Series: ASUS ExpertCenter Pro\u003cbr\u003eProduct Type: Enterprise AI Supercomputer \/ AI Server\u003cbr\u003eCompute Platform: NVIDIA Grace Blackwell Ultra\u003cbr\u003eSuperchip Platform: NVIDIA GB300\u003cbr\u003eProcessor Architecture: NVIDIA Grace CPU + NVIDIA Blackwell Ultra GPU\u003cbr\u003eSystem Architecture: Unified CPU-GPU Accelerated Computing Platform\u003cbr\u003eForm Factor: Enterprise Rackmount AI System\u003cbr\u003eTarget Deployment: Enterprise Datacentres, AI Factories, Research Laboratories, Universities, Government Agencies and Cloud Infrastructure\u003cbr\u003ePrimary Workloads: AI Training, AI Fine-Tuning, AI Inferencing, AI Agents, Generative AI, Machine Learning, Deep Learning, Scientific Computing and High-Performance Computing\u003cbr\u003eOperating System: Enterprise Linux Distribution, Configuration Dependent\u003cbr\u003eRemote Management: Integrated Baseboard Management Controller\u003cbr\u003eMulti-Tenant Support: NVIDIA Multi-Instance GPU\u003cbr\u003eWarranty: ASUS Enterprise Warranty, Configuration Dependent\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eProcessor Specifications\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eProcessor Platform: NVIDIA Grace Blackwell Ultra GB300 Superchip\u003cbr\u003eCPU: NVIDIA Grace CPU\u003cbr\u003eCPU Architecture: Arm\u003cbr\u003eCPU Core Architecture: Arm Neoverse V2\u003cbr\u003eCPU Core Count: 72 Cores\u003cbr\u003eCPU-GPU Architecture: Tightly Coupled NVIDIA Grace and Blackwell Ultra Architecture\u003cbr\u003eCPU-GPU Interconnect: NVIDIA NVLink-C2C\u003cbr\u003eUnified CPU-GPU Address Space: Supported\u003cbr\u003eCoherent CPU-GPU Memory Access: Supported\u003cbr\u003eHigh-Speed CPU-GPU Data Transfer: Supported\u003cbr\u003eLarge-Scale Parallel Processing: Supported\u003cbr\u003eEnterprise AI Computing: Supported\u003cbr\u003eHigh-Performance Computing: Supported\u003cbr\u003eScientific Computing: Supported\u003cbr\u003eContinuous AI Workload Operation: Supported\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eAI Performance\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eMaximum AI Performance: Up to 20 PFLOPS\u003cbr\u003eAI Accelerator Architecture: NVIDIA Blackwell Ultra\u003cbr\u003eTransformer Engine: NVIDIA Blackwell Transformer Engine\u003cbr\u003eTensor Core Acceleration: Supported\u003cbr\u003eMixed-Precision AI Computing: Supported\u003cbr\u003eFP4 AI Computing: Supported\u003cbr\u003eFP8 AI Computing: Supported\u003cbr\u003eFP16 AI Computing: Supported\u003cbr\u003eBF16 AI Computing: Supported\u003cbr\u003eINT8 AI Inferencing: Supported\u003cbr\u003eDynamic Precision Management: Supported\u003cbr\u003eSparsity Acceleration: Supported\u003cbr\u003eLarge Language Model Acceleration: Supported\u003cbr\u003eFoundation Model Training: Supported\u003cbr\u003eFoundation Model Fine-Tuning: Supported\u003cbr\u003eGenerative AI Acceleration: Supported\u003cbr\u003eAI Agent Development: Supported\u003cbr\u003eReasoning Model Processing: Supported\u003cbr\u003eMultimodal AI Processing: Supported\u003cbr\u003eRetrieval-Augmented Generation: Supported\u003cbr\u003eEnterprise AI Inferencing: Supported\u003cbr\u003eDistributed AI Training: Supported\u003cbr\u003eScientific AI Processing: Supported\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eAI Features\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eLarge Language Model Training\u003cbr\u003eLarge Language Model Fine-Tuning\u003cbr\u003eFoundation Model Development\u003cbr\u003eGenerative AI Applications\u003cbr\u003eAgentic AI Workloads\u003cbr\u003eAI Agent Development and Deployment\u003cbr\u003eRetrieval-Augmented Generation\u003cbr\u003eMultimodal AI Processing\u003cbr\u003eNatural Language Processing\u003cbr\u003eComputer Vision\u003cbr\u003eSpeech Recognition\u003cbr\u003eSpeech Generation\u003cbr\u003eRecommendation Systems\u003cbr\u003ePredictive Analytics\u003cbr\u003eDigital Twin Simulation\u003cbr\u003eAutonomous Systems Development\u003cbr\u003eRobotics AI\u003cbr\u003eScientific Machine Learning\u003cbr\u003eDrug Discovery\u003cbr\u003eMolecular Modelling\u003cbr\u003eHealthcare AI\u003cbr\u003eFinancial Modelling\u003cbr\u003eFraud Detection\u003cbr\u003eCybersecurity AI\u003cbr\u003eManufacturing AI\u003cbr\u003eEnterprise Knowledge Assistants\u003cbr\u003ePrivate AI Deployment\u003cbr\u003eCloud-Native AI Deployment\u003cbr\u003eAI Factory Infrastructure\u003cbr\u003eProduction AI Inferencing\u003cbr\u003eMulti-User AI Development\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eMemory Specifications\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eTotal System Memory: 748GB\u003cbr\u003eMemory Architecture: NVIDIA Unified Coherent Memory\u003cbr\u003eCPU-GPU Shared Memory: Supported\u003cbr\u003eSingle Shared Memory Pool: Supported\u003cbr\u003eUnified Address Space: Supported\u003cbr\u003eMemory Coherency: Supported\u003cbr\u003eDirect CPU and GPU Memory Access: Supported\u003cbr\u003eHigh-Bandwidth Memory Architecture: Supported\u003cbr\u003eLow-Latency Data Access: Supported\u003cbr\u003eReduced CPU-GPU Data Movement: Supported\u003cbr\u003eLarge AI Model Loading: Supported\u003cbr\u003eLarge Context Window Processing: Supported\u003cbr\u003eMulti-Billion Parameter Model Support: Supported\u003cbr\u003eLarge Dataset Processing: Supported\u003cbr\u003eAI Model Fine-Tuning Support: Supported\u003cbr\u003eEnterprise Inferencing Support: Supported\u003cbr\u003eRetrieval-Augmented Generation Support: Supported\u003cbr\u003eVector Database Processing: Supported\u003cbr\u003eMemory Virtualisation: Supported\u003cbr\u003eMulti-Tenant Memory Allocation: Supported\u003cbr\u003eContinuous AI Pipeline Processing: Supported\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eStorage Specifications\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eStorage Technology: NVMe Solid-State Drive\u003cbr\u003eStorage Interface: PCI Express 5.0\u003cbr\u003eDrive Form Factor: M.2 2280\u003cbr\u003eStorage Slot Capacity: Up to 4 × M.2 2280 NVMe PCIe 5.0 SSD Slots\u003cbr\u003eMaximum Internal Storage Capacity: Up to 8TB Total Capacity When Fully Populated\u003cbr\u003eMaximum Capacity per Drive: Configuration Dependent\u003cbr\u003eBoot Drive Support: Supported\u003cbr\u003eEnterprise NVMe SSD Support: Supported\u003cbr\u003ePCIe Gen5 Storage Performance: Supported\u003cbr\u003eHigh-Speed AI Dataset Loading: Supported\u003cbr\u003eLarge AI Model Repository Support: Supported\u003cbr\u003eAI Model Checkpoint Storage: Supported\u003cbr\u003eVector Database Storage: Supported\u003cbr\u003eTraining Dataset Storage: Supported\u003cbr\u003eHigh-Speed Data Preprocessing: Supported\u003cbr\u003eContinuous Read and Write Workloads: Supported\u003cbr\u003eStorage Expansion: Supported\u003cbr\u003eRAID Support: Configuration Dependent\u003cbr\u003eHot-Swap Support: Configuration Dependent\u003cbr\u003eSelf-Encrypting Drive Support: Configuration Dependent\u003cbr\u003eStorage Health Monitoring: Supported\u003cbr\u003eRemote Storage Status Monitoring: Supported\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eGraphics Specifications\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eGPU Platform: NVIDIA Blackwell Ultra\u003cbr\u003eGPU Architecture: NVIDIA Blackwell Ultra\u003cbr\u003eGPU Type: Enterprise AI and HPC Accelerator\u003cbr\u003eTensor Cores: NVIDIA Tensor Cores\u003cbr\u003eTransformer Engine: Supported\u003cbr\u003eCUDA Parallel Computing: Supported\u003cbr\u003eCUDA Toolkit Compatibility: Supported\u003cbr\u003eNVIDIA cuDNN Compatibility: Supported\u003cbr\u003eNVIDIA TensorRT Compatibility: Supported\u003cbr\u003eNVIDIA RAPIDS Compatibility: Supported\u003cbr\u003eNVIDIA NeMo Compatibility: Supported\u003cbr\u003eNVIDIA NGC Container Compatibility: Supported\u003cbr\u003eNVIDIA AI Enterprise Compatibility: Supported\u003cbr\u003eGPUDirect RDMA: Supported\u003cbr\u003eGPUDirect Storage: Supported\u003cbr\u003eMulti-Instance GPU: Supported\u003cbr\u003eGPU Resource Partitioning: Supported\u003cbr\u003eSecure GPU Workload Isolation: Supported\u003cbr\u003eMulti-Tenant GPU Allocation: Supported\u003cbr\u003eEnterprise GPU Virtualisation: Supported\u003cbr\u003eMixed-Precision Computing: Supported\u003cbr\u003eLarge Language Model Acceleration: Supported\u003cbr\u003eScientific Simulation Acceleration: Supported\u003cbr\u003eHigh-Performance Data Analytics: Supported\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eNetworking Specifications\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eIntegrated Network Adapter: NVIDIA ConnectX-8\u003cbr\u003eNetwork Interface Type: High-Speed Enterprise AI Networking\u003cbr\u003eNetwork Ports: 2 × 400GbE QSFP Ports\u003cbr\u003eConnector Type: QSFP\u003cbr\u003eMaximum Per-Port Bandwidth: Up to 400Gbps\u003cbr\u003eMaximum Aggregate Network Bandwidth: Up to 800Gbps\u003cbr\u003eEthernet Support: Supported\u003cbr\u003eInfiniBand Support: Platform and Configuration Dependent\u003cbr\u003eRDMA Support: Supported\u003cbr\u003eRoCE Support: Supported\u003cbr\u003eRoCE v2 Support: Supported\u003cbr\u003eGPUDirect RDMA: Supported\u003cbr\u003eGPUDirect Storage: Supported\u003cbr\u003eUltra-Low-Latency Networking: Supported\u003cbr\u003eDistributed AI Training: Supported\u003cbr\u003eAI Cluster Interconnect: Supported\u003cbr\u003eHigh-Speed Storage Fabric: Supported\u003cbr\u003eScale-Out AI Infrastructure: Supported\u003cbr\u003eEnterprise AI Fabric Integration: Supported\u003cbr\u003eMulti-Node Model Training: Supported\u003cbr\u003eHigh-Performance Computing Cluster Support: Supported\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003ePorts \u0026amp; Expansion\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003e2 × NVIDIA ConnectX-8 400GbE QSFP Network Ports\u003cbr\u003eUp to 4 × M.2 2280 NVMe PCIe 5.0 SSD Slots\u003cbr\u003ePCI Express 5.0 Expansion Support\u003cbr\u003eEnterprise Network Expansion Support\u003cbr\u003eHigh-Speed Storage Expansion Support\u003cbr\u003eAI Accelerator Expansion: Configuration Dependent\u003cbr\u003eManagement Network Port: Configuration Dependent\u003cbr\u003eUSB Ports: Configuration Dependent\u003cbr\u003eVideo Output: Configuration Dependent\u003cbr\u003eSerial Management Port: Configuration Dependent\u003cbr\u003eDedicated BMC Management Interface: Supported\u003cbr\u003eRack Infrastructure Integration: Supported\u003cbr\u003eFuture Enterprise Expansion: Supported\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eMulti-Tenant \u0026amp; Virtualisation Features\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eNVIDIA Multi-Instance GPU Support\u003cbr\u003eGPU Resource Partitioning\u003cbr\u003eSecure Workload Isolation\u003cbr\u003eMultiple Independent GPU Instances\u003cbr\u003eConcurrent AI Workload Processing\u003cbr\u003eMulti-User AI Development\u003cbr\u003eDepartment-Level Resource Allocation\u003cbr\u003eContainerised AI Workloads\u003cbr\u003eVirtual Machine Support\u003cbr\u003eEnterprise GPU Virtualisation\u003cbr\u003eCloud-Native AI Deployment\u003cbr\u003eKubernetes Resource Scheduling\u003cbr\u003eDocker Container Support\u003cbr\u003eRed Hat OpenShift Support\u003cbr\u003eWorkload-Orchestrated GPU Allocation\u003cbr\u003eShared AI Infrastructure Deployment\u003cbr\u003eImproved GPU Utilisation\u003cbr\u003eMulti-Tenant Enterprise AI Services\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eSecurity Features\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eSecure Boot\u003cbr\u003eFirmware Protection\u003cbr\u003eHardware Root of Trust\u003cbr\u003eTrusted Platform Module Support: Configuration Dependent\u003cbr\u003eRole-Based Access Control\u003cbr\u003eSecure Remote Management\u003cbr\u003eEncrypted Management Sessions\u003cbr\u003eBMC User Authentication\u003cbr\u003eManagement Account Separation\u003cbr\u003eSecure Firmware Updating\u003cbr\u003eSystem Event Logging\u003cbr\u003eHardware Health Monitoring\u003cbr\u003eAudit Logging\u003cbr\u003eSecure Workload Isolation\u003cbr\u003eMulti-Tenant GPU 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Transformers\u003cbr\u003eDeepSpeed\u003cbr\u003eMegatron-LM\u003cbr\u003eKubernetes\u003cbr\u003eDocker\u003cbr\u003eRed Hat OpenShift\u003cbr\u003eSlurm Workload Manager\u003cbr\u003eNVIDIA Base Command Manager\u003cbr\u003eMLflow\u003cbr\u003eRay\u003cbr\u003eApache Spark\u003cbr\u003eVector Database Platforms\u003cbr\u003eEnterprise MLOps Platforms\u003cbr\u003eAI Model Serving Frameworks\u003cbr\u003eDistributed Training Frameworks\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eOperating System Compatibility\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eUbuntu Server\u003cbr\u003eRed Hat Enterprise Linux\u003cbr\u003eRocky Linux\u003cbr\u003eSUSE Linux Enterprise Server\u003cbr\u003eNVIDIA-Certified Linux Environments\u003cbr\u003eEnterprise Linux Distributions\u003cbr\u003eContainer-Optimised Operating Environments\u003cbr\u003eOperating System Support: Configuration and Certification Dependent\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eCooling \u0026amp; Reliability\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eEnterprise Air-Cooled Architecture\u003cbr\u003eOptimised Datacentre Airflow\u003cbr\u003eHigh-Efficiency Thermal Management\u003cbr\u003eContinuous AI Workload Cooling\u003cbr\u003eCPU Thermal Monitoring\u003cbr\u003eGPU Thermal Monitoring\u003cbr\u003eMemory Thermal Monitoring\u003cbr\u003eStorage Thermal Monitoring\u003cbr\u003eVariable-Speed Fan Control\u003cbr\u003eSystem Fan Redundancy: Configuration Dependent\u003cbr\u003eThermal Protection\u003cbr\u003eAutomated Fan Management\u003cbr\u003eHardware Health Alerts\u003cbr\u003eHigh-Availability Design\u003cbr\u003eEnterprise-Grade Components\u003cbr\u003eContinuous 24×7 Operation\u003cbr\u003eLong-Duration AI Training Support\u003cbr\u003eDatacentre Rack Deployment Ready\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003ePower Specifications\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003ePower Supply Type: Enterprise High-Efficiency Power Supply\u003cbr\u003ePower Supply Configuration: Configuration Dependent\u003cbr\u003eRedundant Power Supply Support: Configuration Dependent\u003cbr\u003eHot-Plug Power Supply Support: Configuration Dependent\u003cbr\u003ePower Input: Datacentre AC Power, Configuration Dependent\u003cbr\u003ePower Consumption: Workload and Configuration Dependent\u003cbr\u003eRemote Power Monitoring: Supported\u003cbr\u003eRemote Power Control: Supported\u003cbr\u003ePower Usage Reporting: Supported\u003cbr\u003ePower Fault Monitoring: Supported\u003cbr\u003eContinuous High-Performance Operation: Supported\u003cbr\u003eDatacentre Power Optimisation: Supported\u003cbr\u003eEnergy-Efficient Workload Processing: Supported\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eCompatibility\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eCompatible AI Workloads:\u003c\/p\u003e\n\u003cp\u003eLarge Language Models\u003cbr\u003eFoundation Models\u003cbr\u003eGenerative AI\u003cbr\u003eAI Agents\u003cbr\u003eAgentic AI\u003cbr\u003eRetrieval-Augmented Generation\u003cbr\u003eReasoning Models\u003cbr\u003eMultimodal AI\u003cbr\u003eComputer Vision\u003cbr\u003eNatural Language Processing\u003cbr\u003eSpeech AI\u003cbr\u003eRecommendation Engines\u003cbr\u003eScientific Machine Learning\u003cbr\u003ePredictive Analytics\u003cbr\u003eDigital Twins\u003cbr\u003eAutonomous Systems\u003cbr\u003eEnterprise AI Inferencing\u003c\/p\u003e\n\u003cp\u003eCompatible Development Frameworks:\u003c\/p\u003e\n\u003cp\u003ePyTorch\u003cbr\u003eTensorFlow\u003cbr\u003eJAX\u003cbr\u003eONNX Runtime\u003cbr\u003eHugging Face Transformers\u003cbr\u003eDeepSpeed\u003cbr\u003eNVIDIA NeMo\u003cbr\u003eNVIDIA TensorRT\u003cbr\u003eNVIDIA Triton Inference Server\u003cbr\u003eNVIDIA RAPIDS\u003c\/p\u003e\n\u003cp\u003eCompatible Deployment Platforms:\u003c\/p\u003e\n\u003cp\u003eDocker\u003cbr\u003eKubernetes\u003cbr\u003eRed Hat OpenShift\u003cbr\u003eSlurm\u003cbr\u003eNVIDIA Base Command Manager\u003cbr\u003eEnterprise MLOps Platforms\u003cbr\u003ePrivate Cloud Infrastructure\u003cbr\u003eHybrid Cloud Infrastructure\u003cbr\u003eAI Factory Infrastructure\u003c\/p\u003e\n\u003cp\u003eCompatible Network Environments:\u003c\/p\u003e\n\u003cp\u003e400GbE Ethernet Fabrics\u003cbr\u003eNVIDIA ConnectX Networking\u003cbr\u003eRDMA Networks\u003cbr\u003eRoCE Networks\u003cbr\u003eHigh-Performance Storage Networks\u003cbr\u003eDistributed AI Clusters\u003cbr\u003eHigh-Performance Computing Clusters\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eDesign \u0026amp; Construction\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eEnterprise Rackmount Chassis\u003cbr\u003eDatacentre-Optimised Mechanical Design\u003cbr\u003eProfessional AI Server Construction\u003cbr\u003eHigh-Density Compute Architecture\u003cbr\u003eOptimised Front-to-Rear Airflow\u003cbr\u003eRack Installation Support\u003cbr\u003eEnterprise Cable Management\u003cbr\u003eServiceable Internal Components\u003cbr\u003eContinuous 24×7 Operational Design\u003cbr\u003eRemote Serviceability\u003cbr\u003eHigh-Availability Architecture\u003cbr\u003eDatacentre Integration Ready\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eEnvironmental Specifications\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eOperating Environment: Enterprise Datacentre\u003cbr\u003eOperating Temperature: Configuration Dependent\u003cbr\u003eStorage Temperature: Configuration Dependent\u003cbr\u003eOperating Humidity: Configuration Dependent\u003cbr\u003eStorage Humidity: Configuration Dependent\u003cbr\u003eMaximum Operating Altitude: Configuration Dependent\u003cbr\u003eThermal Monitoring: Supported\u003cbr\u003eEnvironmental Monitoring: Supported\u003cbr\u003eAirflow Requirement: Datacentre Front-to-Rear Airflow\u003cbr\u003eContinuous Operation: Supported\u003cbr\u003eCompliance and Certifications: Region and Configuration Dependent\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003ePhysical Specifications\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eProduct Type: Enterprise AI Supercomputer\u003cbr\u003eForm Factor: Rackmount AI Server\u003cbr\u003eRack Unit Height: Configuration Dependent\u003cbr\u003eChassis Colour: Black\u003cbr\u003eDimensions: Configuration Dependent\u003cbr\u003eSystem Weight: Configuration Dependent\u003cbr\u003eInstalled Weight: Configuration Dependent\u003cbr\u003eRack Mounting: Supported\u003cbr\u003eRail Kit: Configuration Dependent\u003cbr\u003eCable Management Arm: Configuration Dependent\u003cbr\u003eService Access: Enterprise Rack Service Design\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003ePackage Contents\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eASUS ExpertCenter Pro ET900N G3 AI Supercomputer\u003cbr\u003eNVIDIA Grace Blackwell Ultra GB300 Platform\u003cbr\u003eEnterprise Power Cables\u003cbr\u003eRack Mounting Rail Kit: Configuration Dependent\u003cbr\u003eCable Management Accessories: Configuration Dependent\u003cbr\u003eQuick Installation Guide\u003cbr\u003eSafety Documentation\u003cbr\u003eWarranty Documentation\u003cbr\u003eEnterprise Support Information\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eKey Features\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eNVIDIA Grace Blackwell Ultra GB300 Superchip\u003cbr\u003e72-Core NVIDIA Grace CPU\u003cbr\u003eArm Neoverse V2 CPU Architecture\u003cbr\u003eNVIDIA Blackwell Ultra GPU\u003cbr\u003eUp to 20 PFLOPS AI Performance\u003cbr\u003e748GB Unified Coherent Memory\u003cbr\u003eShared CPU-GPU Memory Architecture\u003cbr\u003eUp to 4 × M.2 2280 NVMe PCIe 5.0 SSD Slots\u003cbr\u003eUp to 8TB Total Internal NVMe Storage\u003cbr\u003eDual NVIDIA ConnectX-8 400GbE QSFP Networking\u003cbr\u003eUp to 800Gbps Aggregate Network Bandwidth\u003cbr\u003eNVIDIA Multi-Instance GPU Support\u003cbr\u003eSecure Multi-Tenant AI Workloads\u003cbr\u003eIntegrated Baseboard Management Controller\u003cbr\u003eOut-of-Band Remote Management\u003cbr\u003eNVIDIA AI Enterprise Ready\u003cbr\u003eCUDA and TensorRT Optimised\u003cbr\u003eDistributed AI Training Ready\u003cbr\u003eEnterprise AI Factory Deployment\u003cbr\u003eLarge Language Model Training and Inferencing\u003cbr\u003eHigh-Performance Computing Support\u003cbr\u003eEnterprise Rackmount Architecture\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003ePerformance \u0026amp; Features\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eThe ASUS ExpertCenter Pro ET900N G3 is an enterprise AI supercomputer powered by the NVIDIA Grace Blackwell Ultra GB300 platform. It combines a 72-core NVIDIA Grace CPU based on the Arm Neoverse V2 architecture with an NVIDIA Blackwell Ultra GPU to deliver up to 20 PFLOPS of AI performance for demanding model training, fine-tuning and production inferencing workloads.\u003c\/p\u003e\n\u003cp\u003eThe system features 748GB of coherent unified memory, allowing the Grace CPU and Blackwell Ultra GPU to access a shared memory pool through a unified address space. This architecture reduces unnecessary data transfers between separate CPU and GPU memory pools, improves processing efficiency and enables the system to handle larger language models, longer context windows and memory-intensive scientific applications.\u003c\/p\u003e\n\u003cp\u003eInternal storage supports up to four M.2 2280 NVMe PCIe 5.0 SSD slots, with a maximum total capacity of up to 8TB when fully populated. The PCIe Gen5 storage architecture provides high-speed access to training datasets, model checkpoints, vector databases, AI application containers and production inference assets.\u003c\/p\u003e\n\u003cp\u003eDual NVIDIA ConnectX-8 400GbE QSFP network interfaces provide up to 800Gbps of aggregate network bandwidth. Support for RDMA, RoCE, GPUDirect RDMA and GPUDirect Storage enables low-latency communication between compute nodes, storage systems and GPU resources in distributed AI and high-performance computing environments.\u003c\/p\u003e\n\u003cp\u003eNVIDIA Multi-Instance GPU technology allows the GPU to be partitioned into isolated processing instances for different users, departments or AI services. This enables organisations to run multiple workloads securely on the same platform while improving overall hardware utilisation and maintaining predictable resource allocation.\u003c\/p\u003e\n\u003cp\u003eThe integrated Baseboard Management Controller provides out-of-band access for remote administration, system monitoring, firmware management, diagnostics and power control. Administrators can monitor processor, GPU, memory, storage, networking, thermal and power conditions without requiring direct operating system access.\u003c\/p\u003e\n\u003cp\u003eSupport for NVIDIA AI Enterprise, CUDA, TensorRT, Triton Inference Server, NeMo, RAPIDS, PyTorch, TensorFlow, JAX, Kubernetes and Docker provides a comprehensive environment for developing, training, optimising and deploying enterprise AI applications.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eTypical Use Cases\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eLarge Language Model Training\u003cbr\u003eLarge Language Model Fine-Tuning\u003cbr\u003eFoundation Model Development\u003cbr\u003eGenerative AI Applications\u003cbr\u003eAI Agent Development\u003cbr\u003eAgentic AI Deployment\u003cbr\u003eRetrieval-Augmented Generation\u003cbr\u003eReasoning Model Processing\u003cbr\u003eMultimodal AI\u003cbr\u003eProduction AI Inferencing\u003cbr\u003eMachine Learning\u003cbr\u003eDeep Learning\u003cbr\u003eComputer Vision\u003cbr\u003eNatural Language Processing\u003cbr\u003eSpeech AI\u003cbr\u003eRecommendation Systems\u003cbr\u003eEnterprise Knowledge Assistants\u003cbr\u003eCybersecurity AI\u003cbr\u003eFinancial Services AI\u003cbr\u003eHealthcare AI Research\u003cbr\u003eDrug Discovery\u003cbr\u003eMolecular Simulation\u003cbr\u003eScientific Computing\u003cbr\u003eHigh-Performance Computing\u003cbr\u003eDigital Twin Simulation\u003cbr\u003eManufacturing AI\u003cbr\u003eAutonomous Systems Development\u003cbr\u003eRobotics Research\u003cbr\u003eUniversity Research Clusters\u003cbr\u003eGovernment AI Infrastructure\u003cbr\u003ePrivate AI Datacentres\u003cbr\u003eHybrid Cloud AI Infrastructure\u003cbr\u003eCloud Service Provider Infrastructure\u003cbr\u003eMulti-Tenant AI Platforms\u003cbr\u003eEnterprise AI Factories\u003c\/p\u003e","brand":"Asus","offers":[{"title":"Default Title","offer_id":51421362847908,"sku":"ET900N G3","price":170000.0,"currency_code":"SGD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0605\/0136\/0804\/files\/asus-expertcenter-pro-et900n-g3-gb300-ai-supercomputer-6195459.png?v=1785247990"},{"product_id":"msi-xpertstation-ws300-nvidia-dgx-station-ai-supercomputer","title":"MSI XpertStation WS300 NVIDIA DGX Station AI Supercomputer","description":"\u003cdiv\u003e\n\u003cstyle\u003e\n.pd-acc { border: 1px solid #e2e2e2; border-radius: 8px; margin: 10px 0; overflow: hidden; }\n.pd-acc summary { cursor: pointer; padding: 14px 16px; font-weight: 700; font-size: 1.05em; list-style: none; display: flex; justify-content: space-between; align-items: center; background: #f7f7f7; }\n.pd-acc[open] \u003e summary { border-bottom: 1px solid #e2e2e2; }\n.pd-acc summary::-webkit-details-marker { display: none; }\n.pd-acc summary::after { content: \"+\"; font-size: 1.4em; font-weight: 400; line-height: 1; margin-left: 12px; }\n.pd-acc[open] \u003e summary::after { content: \"\\2212\"; }\n.pd-acc .pd-acc-body { padding: 8px 16px 14px; }\n.pd-spec, .pd-spec tr, .pd-spec td { border: none !important; background: transparent !important; }\n.pd-spec { width: 100%; border-collapse: collapse !important; margin: 6px 0 18px; }\n.pd-spec td { padding: 7px 10px 7px 0 !important; border-bottom: 1px solid #ececec !important; vertical-align: top; font-size: 0.95em; text-align: left; }\n.pd-spec td:first-child { width: 38%; font-weight: 600; color: #333; }\n.pd-spec tr:last-child td { border-bottom: none !important; }\n\u003c\/style\u003e\n\u003ch2\u003e\u003cstrong\u003eMSI XpertStation WS300 NVIDIA DGX Station with Grace Blackwell Ultra, 748GB Coherent Memory, 1.92TB RAID 1 \u0026amp; Dual 400G ConnectX-8 Networking - Local Warranty\u003c\/strong\u003e\u003c\/h2\u003e\n\u003ch3\u003e\u003cstrong\u003eMSI XpertStation WS300 — Datacentre-Class AI in a Workstation\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp\u003eThe MSI XpertStation WS300 is an enterprise AI supercomputer built on the NVIDIA DGX Station GB300 platform. The NVIDIA Grace Blackwell Ultra Desktop Superchip delivers up to 20 petaFLOPS of FP4 AI performance with 748 GB of coherent unified memory — enough to work with AI models up to 1 trillion parameters — without a specialised liquid-cooled rack installation.\u003c\/p\u003e\n\u003ch3\u003e\u003cstrong\u003e748 GB Coherent Memory: One Memory Space for Giant Models\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp\u003e252 GB of HBM3e GPU memory at 7.1 TB\/s pairs with 496 GB of LPDDR5X CPU memory over NVLink-C2C at 900 GB\/s, so models and datasets live in a single 748 GB coherent memory space — accelerating LLM fine-tuning, RAG pipelines, simulations and multi-team AI workloads.\u003c\/p\u003e\n\u003ch3\u003e\u003cstrong\u003eEnterprise Storage and 800G-Class Networking\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp\u003e1.92 TB of enterprise NVMe storage in RAID 1 protects your work from day one, with expansion slots for growth. Dual 400G QSFP112 ports on the NVIDIA ConnectX-8 SuperNIC (up to 800 Gb\/s) connect the WS300 into private AI clusters and distributed training environments.\u003c\/p\u003e\n\u003ch3\u003e\u003cstrong\u003eAvailable in Singapore Through SourceIT\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp\u003eEnterprise procurement with GST invoice and local warranty support. For desktop-scale AI, see the \u003ca href=\"\/products\/nvidia-dgx-spark-ai-supercomputer-4tb-940-54242-0007-000\"\u003eNVIDIA DGX Spark\u003c\/a\u003e; for an alternative GB300 workstation, see the \u003ca href=\"\/products\/hp-zgx-fury-g1n-gb300-ai-workstation-with-nvidia-blackwell-ultra\"\u003eHP ZGX Fury G1n\u003c\/a\u003e.\u003c\/p\u003e\n\u003cdetails class=\"pd-acc\"\u003e\n\u003csummary style=\"cursor: pointer; font-weight: 700;\"\u003eMSI XpertStation WS300 Datasheet — Technical Specifications\u003c\/summary\u003e\n\u003cdiv class=\"pd-acc-body\"\u003e\n\u003cp\u003e\u003cstrong\u003eGeneral\u003c\/strong\u003e\u003c\/p\u003e\n\u003ctable class=\"pd-spec\"\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eModel\u003c\/td\u003e\n\u003ctd\u003eMSI XpertStation WS300 (NVIDIA DGX Station GB300 Platform)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eProduct Type\u003c\/td\u003e\n\u003ctd\u003eEnterprise Desktop AI Supercomputer \/ AI Workstation\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eWarranty\u003c\/td\u003e\n\u003ctd\u003eMSI Enterprise Warranty, Local Support via SourceIT (Configuration Dependent)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\n\u003cp\u003e\u003cstrong\u003eProcessor — NVIDIA GB300 Grace Blackwell Ultra Desktop Superchip\u003c\/strong\u003e\u003c\/p\u003e\n\u003ctable class=\"pd-spec\"\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eGPU\u003c\/td\u003e\n\u003ctd\u003e1 × NVIDIA Blackwell Ultra\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCPU\u003c\/td\u003e\n\u003ctd\u003e1 × NVIDIA Grace — 72-Core Arm Neoverse V2\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eInterconnect\u003c\/td\u003e\n\u003ctd\u003eNVLink-C2C, 900 GB\/s\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eAI Performance\u003c\/td\u003e\n\u003ctd\u003eUp to 20 PFLOPS FP4 Tensor Core\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eModel Support\u003c\/td\u003e\n\u003ctd\u003eAI Models Up to 1 Trillion Parameters\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eGPU Partitioning\u003c\/td\u003e\n\u003ctd\u003eMulti-Instance GPU (MIG) — Up to 7 Instances\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\n\u003cp\u003e\u003cstrong\u003eMemory\u003c\/strong\u003e\u003c\/p\u003e\n\u003ctable class=\"pd-spec\"\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eGPU Memory\u003c\/td\u003e\n\u003ctd\u003e252 GB HBM3e, 7.1 TB\/s\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCPU Memory\u003c\/td\u003e\n\u003ctd\u003e496 GB LPDDR5X, 396 GB\/s\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eTotal Coherent Memory\u003c\/td\u003e\n\u003ctd\u003e748 GB Unified\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\n\u003cp\u003e\u003cstrong\u003eStorage\u003c\/strong\u003e\u003c\/p\u003e\n\u003ctable class=\"pd-spec\"\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eInstalled Storage\u003c\/td\u003e\n\u003ctd\u003e1.92 TB Enterprise NVMe (2 × M.2 2280 PCIe 5.0) in RAID 1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eExpansion\u003c\/td\u003e\n\u003ctd\u003e2 × PCIe 6.0 x4 M.2 2280 Slots Available (4 × M.2 Gen 5 Platform Slots)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\n\u003cp\u003e\u003cstrong\u003eNetworking\u003c\/strong\u003e\u003c\/p\u003e\n\u003ctable class=\"pd-spec\"\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eSuperNIC\u003c\/td\u003e\n\u003ctd\u003eNVIDIA ConnectX-8 — Up to 800 Gb\/s Ethernet\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eHigh-Speed Ports\u003c\/td\u003e\n\u003ctd\u003e2 × QSFP112 (400 Gb\/s Each)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eStandard Ethernet\u003c\/td\u003e\n\u003ctd\u003e10 GbE + 1 GbE Management\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\n\u003cp\u003e\u003cstrong\u003eSoftware \u0026amp; Power\u003c\/strong\u003e\u003c\/p\u003e\n\u003ctable class=\"pd-spec\"\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eOperating System\u003c\/td\u003e\n\u003ctd\u003eUbuntu with NVIDIA AI Developer Tools (DGX Software Stack)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eAI Stack\u003c\/td\u003e\n\u003ctd\u003eCUDA, NVIDIA AI Enterprise, TensorRT, NVIDIA NIM, PyTorch\/TensorFlow\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePower\u003c\/td\u003e\n\u003ctd\u003e1,600 W Enterprise High-Efficiency Power Supply\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCooling\u003c\/td\u003e\n\u003ctd\u003eEnterprise Workstation Cooling Architecture — No Liquid-Cooled Rack Required\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eOptional\u003c\/td\u003e\n\u003ctd\u003eSupports Additional NVIDIA RTX PRO Blackwell GPU\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\n\u003c\/div\u003e\n\u003c\/details\u003e\n\u003cdetails class=\"pd-acc\"\u003e\n\u003csummary style=\"cursor: pointer; font-weight: 700;\"\u003eOrdering Information — AI Supercomputers at SourceIT\u003c\/summary\u003e\n\u003cdiv class=\"pd-acc-body\"\u003e\n\u003ctable class=\"pd-spec\"\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eMSI XpertStation WS300 (DGX Station GB300)\u003c\/td\u003e\n\u003ctd\u003eThis Product — In Stock\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eHP ZGX Fury G1n GB300 AI Workstation\u003c\/td\u003e\n\u003ctd\u003e\u003ca href=\"\/products\/hp-zgx-fury-g1n-gb300-ai-workstation-with-nvidia-blackwell-ultra\"\u003eEnquire\u003c\/a\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eNVIDIA DGX Spark 4TB (Desktop, 1 PFLOP)\u003c\/td\u003e\n\u003ctd\u003e\u003ca href=\"\/products\/nvidia-dgx-spark-ai-supercomputer-4tb-940-54242-0007-000\"\u003e940-54242-0007-000 — In Stock\u003c\/a\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eASUS Ascent GX10 (GB10 Platform, from 1TB)\u003c\/td\u003e\n\u003ctd\u003e\u003ca href=\"\/products\/asus-ascent-gx10-compact-desktop-ai-supercomputer-1tb-gx10-gg0007bn\"\u003eIn Stock\u003c\/a\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\n\u003c\/div\u003e\n\u003c\/details\u003e\n\u003cdetails class=\"pd-acc\"\u003e\n\u003csummary style=\"cursor: pointer; font-weight: 700;\"\u003eDatasheet \u0026amp; Downloads\u003c\/summary\u003e\n\u003cdiv class=\"pd-acc-body\"\u003e\n\u003cp\u003e• \u003ca href=\"https:\/\/www.nvidia.com\/en-us\/products\/workstations\/dgx-station\/\" rel=\"noopener\" target=\"_blank\"\u003eNVIDIA DGX Station GB300 — Official Platform Specifications\u003c\/a\u003e\u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/details\u003e\n\u003cdetails class=\"pd-acc\"\u003e\n\u003csummary style=\"cursor: pointer; font-weight: 700;\"\u003eFrequently Asked Questions — MSI XpertStation WS300\u003c\/summary\u003e\n\u003cdiv class=\"pd-acc-body\"\u003e\n\u003cp\u003e\u003cstrong\u003eHow does the WS300 compare to the NVIDIA DGX Spark?\u003c\/strong\u003e\u003cbr\u003e\nDifferent class entirely: the WS300 delivers up to 20 PFLOPS FP4 and 748 GB coherent memory for models up to 1 trillion parameters, versus the \u003ca href=\"\/products\/nvidia-dgx-spark-ai-supercomputer-4tb-940-54242-0007-000\"\u003eDGX Spark's\u003c\/a\u003e 1 PFLOP and 128 GB (200B parameters). Choose the Spark for individual developers; the WS300 for teams and production-scale AI.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eCan multiple team members share one WS300?\u003c\/strong\u003e\u003cbr\u003e\nYes — Multi-Instance GPU (MIG) partitions the Blackwell Ultra GPU into up to 7 isolated instances, so several users or workloads run concurrently with guaranteed resources.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eDoes it need a server room?\u003c\/strong\u003e\u003cbr\u003e\nNo liquid-cooled rack is required — the WS300 uses enterprise workstation cooling and a 1,600 W power supply. Plan a dedicated power circuit as you would for a high-end workstation.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eWhat storage does it ship with?\u003c\/strong\u003e\u003cbr\u003e\n1.92 TB enterprise NVMe in RAID 1 for data protection, with two additional PCIe 6.0 M.2 slots free for expansion.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eHow do I purchase in Singapore?\u003c\/strong\u003e\u003cbr\u003e\nSourceIT supplies the WS300 with GST invoice, local warranty support and enterprise procurement assistance — contact us for configuration options and volume pricing.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/details\u003e\n\u003cp\u003e\u003ciframe title=\"YouTube video player\" src=\"https:\/\/www.youtube.com\/embed\/LaTQE00kCvA?si=TJemSJ2OFA7YdBpz\" height=\"315\" width=\"560\"\u003e\u003c\/iframe\u003e\u003c\/p\u003e\n\u003c\/div\u003e","brand":"Nvidia","offers":[{"title":"Default Title","offer_id":51421413441700,"sku":"XpertStation WS300","price":150000.0,"currency_code":"SGD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0605\/0136\/0804\/files\/msi-xpertstation-ws300-nvidia-dgx-station-ai-supercomputer-4865915.png?v=1785247991"},{"product_id":"hp-zgx-fury-g1n-gb300-ai-workstation-with-nvidia-blackwell-ultra","title":"HP ZGX Fury G1n GB300 AI Workstation with NVIDIA Blackwell Ultra","description":"\u003c!-- ZGX-FLASH-SALE-START --\u003e\n\u003cdiv\u003e\n\u003cstyle\u003e\n.pd-acc { border: 1px solid #e2e2e2; border-radius: 8px; margin: 10px 0; overflow: hidden; }\n.pd-acc summary { cursor: pointer; padding: 14px 16px; font-weight: 700; font-size: 1.05em; list-style: none; display: flex; justify-content: space-between; align-items: center; background: #f7f7f7; }\n.pd-acc[open] \u003e summary { border-bottom: 1px solid #e2e2e2; }\n.pd-acc summary::-webkit-details-marker { display: none; }\n.pd-acc summary::after { content: \"+\"; font-size: 1.4em; font-weight: 400; line-height: 1; margin-left: 12px; }\n.pd-acc[open] \u003e summary::after { content: \"\\2212\"; }\n.pd-acc .pd-acc-body { padding: 8px 16px 14px; }\n.pd-spec, .pd-spec tr, .pd-spec td { border: none !important; background: transparent !important; }\n.pd-spec { width: 100%; border-collapse: collapse !important; margin: 6px 0 18px; }\n.pd-spec td { padding: 7px 10px 7px 0 !important; border-bottom: 1px solid #ececec !important; vertical-align: top; font-size: 0.95em; text-align: left; }\n.pd-spec td:first-child { width: 38%; font-weight: 600; color: #333; }\n.pd-spec tr:last-child td { border-bottom: none !important; }\n\u003c\/style\u003e\n\u003ch2\u003e\u003cstrong\u003eHP ZGX Fury G1n GB300 AI Workstation with NVIDIA Blackwell Ultra, 748GB Coherent Memory, 72-Core Grace CPU \u0026amp; Dual 400G ConnectX-8 Networking - Local Warranty\u003c\/strong\u003e\u003c\/h2\u003e\n\u003ch3\u003e\u003cstrong\u003eHP ZGX Fury G1n — Next-Generation Enterprise AI Workstation Powered by NVIDIA GB300\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp\u003eThe HP ZGX Fury G1n is a next-generation AI supercomputer built around the NVIDIA Grace Blackwell Ultra (GB300) Superchip, delivering up to 20 petaFLOPS of FP4 AI compute for training, fine-tuning and deploying LLMs, AI agents, generative AI and scientific simulations — entirely within your own infrastructure, with complete data sovereignty.\u003c\/p\u003e\n\u003ch3\u003e\u003cstrong\u003e748 GB Coherent Unified Memory for Large-Scale AI Models\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp\u003e252 GB of HBM3e GPU memory at 7.1 TB\/s and 496 GB of LPDDR5X CPU memory unite over NVLink-C2C (900 GB\/s) into a single 748 GB coherent memory space — supporting AI models up to 1 trillion parameters and accelerating RAG, foundation-model fine-tuning, digital twins, engineering simulation and cybersecurity analytics.\u003c\/p\u003e\n\u003ch3\u003e\u003cstrong\u003e72-Core Grace CPU with Dual 400G ConnectX-8 Networking\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp\u003eThe 72-core NVIDIA Grace Arm Neoverse V2 CPU works coherently with the Blackwell Ultra GPU, while dual NVIDIA ConnectX-8 400 GbE QSFP ports (up to 800 Gb\/s) deliver ultra-low-latency clustering for distributed AI training and private AI clusters — datacentre-class capability without a specialised liquid-cooled rack.\u003c\/p\u003e\n\u003ch3\u003e\u003cstrong\u003eThree Factory Configurations — Choose Your Graphics \u0026amp; Storage\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp\u003eThe ZGX Fury G1n is available in three factory-built SKUs. All three share the identical GB300 Superchip, 748 GB coherent memory, 72-core Grace CPU and dual 400G ConnectX-8 networking, and all ship with 3\/3\/3 warranty — they differ only in the professional graphics card and the NVMe storage configuration. Select your configuration from the dropdown above.\u003c\/p\u003e\n\u003cdetails class=\"pd-acc\" open\u003e\n\u003csummary style=\"cursor: pointer; font-weight: 700;\"\u003eAvailable Configurations — 3 SKUs (Singapore List Price)\u003c\/summary\u003e\n\u003cdiv class=\"pd-acc-body\"\u003e\n\u003ctable class=\"pd-spec\"\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eSKU 1 — E6ZS0PT#AB4\u003cbr\u003eSGD $168,838\u003c\/td\u003e\n\u003ctd\u003eGraphics: NVIDIA RTX PRO 2000 Blackwell\u003cbr\u003eStorage: 4 × 2TB NVMe SSD (8TB total)\u003cbr\u003eWarranty: 3\/3\/3\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eSKU 2 — E6ZS5PT#AB4\u003cbr\u003eSGD $172,647\u003c\/td\u003e\n\u003ctd\u003eGraphics: NVIDIA RTX PRO 4000 Blackwell\u003cbr\u003eStorage: 2 × 2TB + 2 × 4TB NVMe SSD (12TB total)\u003cbr\u003eWarranty: 3\/3\/3\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eSKU 3 — Part No. TBA\u003cbr\u003eSGD $158,683\u003c\/td\u003e\n\u003ctd\u003eGraphics: No discrete graphics card\u003cbr\u003eStorage: 4 × 2TB NVMe SED — Self-Encrypting Drives (8TB total)\u003cbr\u003eWarranty: 3\/3\/3\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\n\u003cp\u003e\u003cstrong\u003eWhich configuration?\u003c\/strong\u003e Choose \u003cstrong\u003eSKU 1\u003c\/strong\u003e for a balanced build with professional display graphics for local visualisation and CAD\/DCC work. Choose \u003cstrong\u003eSKU 2\u003c\/strong\u003e when you need more on-board dataset capacity and a stronger visualisation GPU. Choose \u003cstrong\u003eSKU 3\u003c\/strong\u003e for headless, rack-adjacent or remote-accessed deployments, or where self-encrypting drives are mandated by security or compliance policy.\u003c\/p\u003e\n\u003cp\u003ePrices shown are Singapore list price. For volume, project or education pricing, GST invoicing and lead times, contact SourceIT at \u003ca href=\"mailto:sales@sourceit.com.sg\"\u003esales@sourceit.com.sg\u003c\/a\u003e.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/details\u003e\n\u003ch3\u003e\u003cstrong\u003eAvailable in Singapore Through SourceIT\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp\u003eEnterprise procurement with GST invoice and local warranty support. For desktop-scale AI, see the \u003ca href=\"\/products\/nvidia-dgx-spark-ai-supercomputer-4tb-940-54242-0007-000\"\u003eNVIDIA DGX Spark\u003c\/a\u003e; for the alternative GB300 station, see the \u003ca href=\"\/products\/msi-xpertstation-ws300-nvidia-dgx-station-ai-supercomputer\"\u003eMSI XpertStation WS300\u003c\/a\u003e.\u003c\/p\u003e\n\u003cdetails class=\"pd-acc\"\u003e\n\u003csummary style=\"cursor: pointer; font-weight: 700;\"\u003eHP ZGX Fury G1n Datasheet — Technical Specifications\u003c\/summary\u003e\n\u003cdiv class=\"pd-acc-body\"\u003e\n\u003cp\u003e\u003cstrong\u003eGeneral\u003c\/strong\u003e\u003c\/p\u003e\n\u003ctable class=\"pd-spec\"\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eModel\u003c\/td\u003e\n\u003ctd\u003eHP ZGX Fury G1n (NVIDIA GB300 Platform)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eProduct Type\u003c\/td\u003e\n\u003ctd\u003eEnterprise Desktop AI Supercomputer \/ AI Workstation\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eChassis\u003c\/td\u003e\n\u003ctd\u003eBlack, Professional Enterprise Workstation Design\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eWarranty\u003c\/td\u003e\n\u003ctd\u003e3\/3\/3 HP Enterprise Workstation Warranty — Local Support via SourceIT\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\n\u003cp\u003e\u003cstrong\u003eProcessor — NVIDIA GB300 Grace Blackwell Ultra Superchip\u003c\/strong\u003e\u003c\/p\u003e\n\u003ctable class=\"pd-spec\"\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eGPU\u003c\/td\u003e\n\u003ctd\u003e1 × NVIDIA Blackwell Ultra\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCPU\u003c\/td\u003e\n\u003ctd\u003e1 × NVIDIA Grace — 72-Core Arm Neoverse V2\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eInterconnect\u003c\/td\u003e\n\u003ctd\u003eNVLink-C2C, 900 GB\/s\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eAI Performance\u003c\/td\u003e\n\u003ctd\u003eUp to 20 PFLOPS FP4 Tensor Core\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eModel Support\u003c\/td\u003e\n\u003ctd\u003eAI Models Up to 1 Trillion Parameters\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eGPU Partitioning\u003c\/td\u003e\n\u003ctd\u003eMulti-Instance GPU (MIG) — Up to 7 Instances\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\n\u003cp\u003e\u003cstrong\u003eMemory\u003c\/strong\u003e\u003c\/p\u003e\n\u003ctable class=\"pd-spec\"\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eGPU Memory\u003c\/td\u003e\n\u003ctd\u003e252 GB HBM3e, 7.1 TB\/s\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCPU Memory\u003c\/td\u003e\n\u003ctd\u003e496 GB LPDDR5X, 396 GB\/s\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eTotal Coherent Memory\u003c\/td\u003e\n\u003ctd\u003e748 GB Unified\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\n\u003cp\u003e\u003cstrong\u003eProfessional Graphics (Configuration Dependent)\u003c\/strong\u003e\u003c\/p\u003e\n\u003ctable class=\"pd-spec\"\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eSKU 1 — E6ZS0PT#AB4\u003c\/td\u003e\n\u003ctd\u003eNVIDIA RTX PRO 2000 Blackwell\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eSKU 2 — E6ZS5PT#AB4\u003c\/td\u003e\n\u003ctd\u003eNVIDIA RTX PRO 4000 Blackwell\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eSKU 3\u003c\/td\u003e\n\u003ctd\u003eNo Discrete Graphics Card\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\n\u003cp\u003e\u003cstrong\u003eStorage (Configuration Dependent)\u003c\/strong\u003e\u003c\/p\u003e\n\u003ctable class=\"pd-spec\"\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eSKU 1 — E6ZS0PT#AB4\u003c\/td\u003e\n\u003ctd\u003e4 × 2TB NVMe SSD\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eSKU 2 — E6ZS5PT#AB4\u003c\/td\u003e\n\u003ctd\u003e2 × 2TB + 2 × 4TB NVMe SSD\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eSKU 3\u003c\/td\u003e\n\u003ctd\u003e4 × 2TB NVMe SED (Self-Encrypting Drives)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eDrive Platform\u003c\/td\u003e\n\u003ctd\u003eM.2 Gen 5 Platform Slots\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\n\u003cp\u003e\u003cstrong\u003eNetworking\u003c\/strong\u003e\u003c\/p\u003e\n\u003ctable class=\"pd-spec\"\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eSuperNIC\u003c\/td\u003e\n\u003ctd\u003eNVIDIA ConnectX-8 — Up to 800 Gb\/s Ethernet\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eHigh-Speed Ports\u003c\/td\u003e\n\u003ctd\u003e2 × QSFP (400 Gb\/s Each)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eStandard Ethernet\u003c\/td\u003e\n\u003ctd\u003e10 GbE + 1 GbE Management\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\n\u003cp\u003e\u003cstrong\u003eSoftware \u0026amp; Power\u003c\/strong\u003e\u003c\/p\u003e\n\u003ctable class=\"pd-spec\"\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eOperating System\u003c\/td\u003e\n\u003ctd\u003eUbuntu with NVIDIA AI Developer Tools (DGX Software Stack)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eAI Stack\u003c\/td\u003e\n\u003ctd\u003eCUDA, NVIDIA AI Enterprise, TensorRT, NVIDIA NIM, PyTorch\/TensorFlow\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePower\u003c\/td\u003e\n\u003ctd\u003eHP Enterprise High-Efficiency Power Supply (~1,600 W Platform)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCooling\u003c\/td\u003e\n\u003ctd\u003eDatacentre-Class Component Cooling — No Liquid-Cooled Rack Required\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eManagement\u003c\/td\u003e\n\u003ctd\u003eSecure Remote Management, Continuous 24\/7 Operation\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\n\u003c\/div\u003e\n\u003c\/details\u003e\n\u003cdetails class=\"pd-acc\"\u003e\n\u003csummary style=\"cursor: pointer; font-weight: 700;\"\u003eOrdering Information — AI Supercomputers at SourceIT\u003c\/summary\u003e\n\u003cdiv class=\"pd-acc-body\"\u003e\n\u003ctable class=\"pd-spec\"\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eHP ZGX Fury G1n GB300 AI Workstation\u003c\/td\u003e\n\u003ctd\u003eThis Product — 3 Configurations Available, from SGD $158,683\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMSI XpertStation WS300 (DGX Station GB300)\u003c\/td\u003e\n\u003ctd\u003e\u003ca href=\"\/products\/msi-xpertstation-ws300-nvidia-dgx-station-ai-supercomputer\"\u003eIn Stock\u003c\/a\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eNVIDIA DGX Spark 4TB (Desktop, 1 PFLOP)\u003c\/td\u003e\n\u003ctd\u003e\u003ca href=\"\/products\/nvidia-dgx-spark-ai-supercomputer-4tb-940-54242-0007-000\"\u003e940-54242-0007-000 — In Stock\u003c\/a\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eASUS Ascent GX10 (GB10 Platform, from 1TB)\u003c\/td\u003e\n\u003ctd\u003e\u003ca href=\"\/products\/asus-ascent-gx10-compact-desktop-ai-supercomputer-1tb-gx10-gg0007bn\"\u003eIn Stock\u003c\/a\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\n\u003c\/div\u003e\n\u003c\/details\u003e\n\u003cdetails class=\"pd-acc\"\u003e\n\u003csummary style=\"cursor: pointer; font-weight: 700;\"\u003eDatasheet \u0026amp; Downloads\u003c\/summary\u003e\n\u003cdiv class=\"pd-acc-body\"\u003e\n\u003cp\u003e• \u003ca href=\"https:\/\/www.nvidia.com\/en-us\/products\/workstations\/dgx-station\/\" rel=\"noopener\" target=\"_blank\"\u003eNVIDIA DGX Station GB300 — Official Platform Specifications\u003c\/a\u003e\u003cbr\u003e\n• \u003ca href=\"https:\/\/www.hp.com\/us-en\/workstations\/zgx-fury-ai-station-g1n.html\" rel=\"noopener\" target=\"_blank\"\u003eHP ZGX Fury AI Station G1n — Official Product Page\u003c\/a\u003e\u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/details\u003e\n\u003cdetails class=\"pd-acc\"\u003e\n\u003csummary style=\"cursor: pointer; font-weight: 700;\"\u003eFrequently Asked Questions — HP ZGX Fury G1n\u003c\/summary\u003e\n\u003cdiv class=\"pd-acc-body\"\u003e\n\u003cp\u003e\u003cstrong\u003eWhat is the difference between the three ZGX Fury G1n SKUs?\u003c\/strong\u003e\u003cbr\u003e\nOnly the graphics card and the storage. SKU 1 (E6ZS0PT#AB4) pairs an NVIDIA RTX PRO 2000 Blackwell with 4 × 2TB NVMe. SKU 2 (E6ZS5PT#AB4) steps up to an RTX PRO 4000 Blackwell with 2 × 2TB + 2 × 4TB NVMe. SKU 3 ships with no discrete graphics card and 4 × 2TB self-encrypting drives for security-sensitive or headless deployments. The GB300 Superchip, 748 GB coherent memory, 72-core Grace CPU, ConnectX-8 networking and 3\/3\/3 warranty are identical across all three.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eWhy would I choose the No-Graphics SKU?\u003c\/strong\u003e\u003cbr\u003e\nIf the system is accessed remotely or sits in a shared compute room, a display GPU adds cost without value — and the 4 × 2TB SED drives give you hardware-level encryption at rest, which is often a requirement for regulated, government and financial-sector workloads in Singapore.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eHow does the ZGX Fury G1n compare to the NVIDIA DGX Spark?\u003c\/strong\u003e\u003cbr\u003e\nDifferent class entirely: the ZGX Fury delivers up to 20 PFLOPS FP4 and 748 GB coherent memory for models up to 1 trillion parameters, versus the \u003ca href=\"\/products\/nvidia-dgx-spark-ai-supercomputer-4tb-940-54242-0007-000\"\u003eDGX Spark's\u003c\/a\u003e 1 PFLOP and 128 GB (200B parameters). Choose the Spark for individual developers; the ZGX Fury for teams and production-scale AI.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eHP ZGX Fury G1n vs MSI XpertStation WS300 — which should I choose?\u003c\/strong\u003e\u003cbr\u003e\nBoth are built on the NVIDIA GB300 platform with identical core compute. They differ in chassis engineering, storage configuration, management tooling and vendor warranty terms — the \u003ca href=\"\/products\/msi-xpertstation-ws300-nvidia-dgx-station-ai-supercomputer\"\u003eWS300\u003c\/a\u003e ships with 1.92 TB RAID 1 as standard, while the ZGX Fury is offered in the three factory configurations above. Talk to us about which fits your deployment.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eCan multiple team members share one system?\u003c\/strong\u003e\u003cbr\u003e\nYes — Multi-Instance GPU (MIG) partitions the Blackwell Ultra GPU into up to 7 isolated instances for concurrent users and workloads.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eDoes it need a server room?\u003c\/strong\u003e\u003cbr\u003e\nNo liquid-cooled rack is required — datacentre-class cooling is built into the workstation chassis for continuous 24\/7 operation. Plan a dedicated power circuit as for any high-end workstation.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eHow do I purchase in Singapore?\u003c\/strong\u003e\u003cbr\u003e\nSourceIT supplies the HP ZGX Fury G1n with GST invoice, local warranty support and enterprise procurement assistance — contact us for configuration options, lead times and volume pricing.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/details\u003e\n\u003cp\u003e\u003ciframe title=\"YouTube video player\" src=\"https:\/\/www.youtube.com\/embed\/Yw98-kKYgfU?si=uzScSycLHz70uUv2\" height=\"315\" width=\"560\"\u003e\u003c\/iframe\u003e\u003c\/p\u003e\n\u003c\/div\u003e","brand":"HP","offers":[{"title":"RTX PRO 2000 Blackwell \/ 4x2TB","offer_id":51421432807588,"sku":"E6ZS0PT","price":168838.0,"currency_code":"SGD","in_stock":true},{"title":"RTX PRO 4000 Blackwell \/ 2x2TB + 2x4TB","offer_id":51461812551844,"sku":"E6ZS5PT","price":172647.0,"currency_code":"SGD","in_stock":true},{"title":"No Graphics Card \/ 4x2TB SED","offer_id":51461812584612,"sku":"GPUonly","price":158683.0,"currency_code":"SGD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0605\/0136\/0804\/files\/hp-zgx-fury-g1n-gb300-ai-workstation-with-nvidia-blackwell-ultra-8763053.png?v=1785247986"},{"product_id":"gigabyte-w775-v10-l01-deskside-ai-supercomputer-with-nvidia-gb300-blackwell","title":"Gigabyte W775-V10-L01 Deskside AI Supercomputer with NVIDIA GB300 Blackwell","description":"\u003cstyle\u003e\n.sitw775{position:relative;overflow:hidden;background:radial-gradient(ellipse at 50% -20%,rgba(118,185,0,.18),transparent 55%),radial-gradient(ellipse at 85% 110%,rgba(34,211,238,.12),transparent 50%),#0a0e1a;border-radius:18px;padding:38px 24px 30px;margin:0 0 30px;color:#e6edf6;text-align:center}\n.sitw775 *{box-sizing:border-box}\n.sitw775-badge{display:inline-block;padding:6px 16px;border:1px solid rgba(118,185,0,.55);border-radius:999px;font-size:12px;letter-spacing:2px;text-transform:uppercase;color:#9be32e;animation:sitw775pulse 2.8s ease-in-out infinite}\n.sitw775-title{font-size:clamp(24px,4vw,40px);font-weight:800;line-height:1.15;margin:16px auto 8px;max-width:760px;background:linear-gradient(90deg,#76b900,#22d3ee,#ff7a00,#76b900);background-size:300% 100%;-webkit-background-clip:text;background-clip:text;color:transparent;-webkit-text-fill-color:transparent;animation:sitw775grad 7s linear infinite}\n.sitw775-sub{color:#9fb0c7;font-size:15px;line-height:1.55;max-width:640px;margin:0 auto 26px}\n.sitw775-grid{display:grid;grid-template-columns:repeat(6,1fr);gap:12px;max-width:1100px;margin:0 auto}\n@media (max-width:900px){.sitw775-grid{grid-template-columns:repeat(3,1fr)}}\n@media (max-width:520px){.sitw775-grid{grid-template-columns:repeat(2,1fr)}}\n.sitw775-tile{position:relative;overflow:hidden;background:rgba(255,255,255,.045);border:1px solid rgba(255,255,255,.11);border-radius:14px;padding:18px 8px;opacity:0;animation:sitw775rise .8s ease forwards}\n.sitw775-tile:nth-child(1){animation-delay:.1s}.sitw775-tile:nth-child(2){animation-delay:.25s}.sitw775-tile:nth-child(3){animation-delay:.4s}.sitw775-tile:nth-child(4){animation-delay:.55s}.sitw775-tile:nth-child(5){animation-delay:.7s}.sitw775-tile:nth-child(6){animation-delay:.85s}\n.sitw775-tile::after{content:\"\";position:absolute;top:0;left:-130%;width:60%;height:100%;background:linear-gradient(105deg,transparent,rgba(255,255,255,.17),transparent);animation:sitw775shine 4.2s ease-in-out infinite}\n.sitw775-tile:nth-child(2)::after{animation-delay:.5s}.sitw775-tile:nth-child(3)::after{animation-delay:1s}.sitw775-tile:nth-child(4)::after{animation-delay:1.5s}.sitw775-tile:nth-child(5)::after{animation-delay:2s}.sitw775-tile:nth-child(6)::after{animation-delay:2.5s}\n.sitw775-num{font-size:clamp(18px,1.8vw,24px);font-weight:800;color:#fff;line-height:1.1}\n.sitw775-num em{font-style:normal;color:#9be32e}\n.sitw775-lab{font-size:10px;letter-spacing:1px;text-transform:uppercase;color:#8fa1b8;margin-top:6px;line-height:1.4}\n@keyframes sitw775grad{0%{background-position:0% 50%}100%{background-position:300% 50%}}\n@keyframes sitw775pulse{0%,100%{box-shadow:0 0 0 rgba(118,185,0,0)}50%{box-shadow:0 0 18px rgba(118,185,0,.4)}}\n@keyframes sitw775rise{from{opacity:0;transform:translateY(18px)}to{opacity:1;transform:translateY(0)}}\n@keyframes sitw775shine{0%{left:-130%}55%{left:135%}100%{left:135%}}\n@media (prefers-reduced-motion:reduce){.sitw775,.sitw775 *,.sitw775 .sitw775-tile{animation:none!important;opacity:1!important}}\n\u003c\/style\u003e\n\u003cdiv class=\"sitw775\"\u003e\n\u003cspan class=\"sitw775-badge\"\u003eGIGABYTE AI TOP · Deskside AI Supercomputer\u003c\/span\u003e\n\u003cdiv class=\"sitw775-title\"\u003eNVIDIA GB300 Grace Blackwell Ultra\u003c\/div\u003e\n\u003cp class=\"sitw775-sub\"\u003eDatacenter-class AI at your desk. Train, fine-tune and deploy trillion-parameter models fully on-premises — with closed-loop liquid cooling and enterprise-grade 24×7 reliability.\u003c\/p\u003e\n\u003cdiv class=\"sitw775-grid\"\u003e\n\u003cdiv class=\"sitw775-tile\"\u003e\n\u003cdiv class=\"sitw775-num\"\u003e20 \u003cem\u003ePFLOPS\u003c\/em\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"sitw775-lab\"\u003eFP4 AI Compute\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"sitw775-tile\"\u003e\n\u003cdiv class=\"sitw775-num\"\u003e748 \u003cem\u003eGB\u003c\/em\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"sitw775-lab\"\u003eUnified Coherent Memory\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"sitw775-tile\"\u003e\n\u003cdiv class=\"sitw775-num\"\u003e72 \u003cem\u003eCores\u003c\/em\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"sitw775-lab\"\u003eNVIDIA Grace CPU\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"sitw775-tile\"\u003e\n\u003cdiv class=\"sitw775-num\"\u003e7.1 \u003cem\u003eTB\/s\u003c\/em\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"sitw775-lab\"\u003eHBM3E GPU Bandwidth\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"sitw775-tile\"\u003e\n\u003cdiv class=\"sitw775-num\"\u003e800 \u003cem\u003eGb\/s\u003c\/em\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"sitw775-lab\"\u003eConnectX-8 Networking\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"sitw775-tile\"\u003e\n\u003cdiv class=\"sitw775-num\"\u003e1 \u003cem\u003eTrillion\u003c\/em\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"sitw775-lab\"\u003eParameter Model Support\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003ch2\u003e\u003cstrong\u003eGigabyte W775-V10-L01 NVIDIA GB300 AI Supercomputer, 72-Core Grace CPU, 748GB Memory \u0026amp; Dual 400Gb Networking - Local Warranty \u003c\/strong\u003e\u003c\/h2\u003e\n\u003ch3 class=\"PDq2pG_selectionAnchorContainer\"\u003e\n\u003cstrong\u003eEnterprise AI Supercomputer Powered by NVIDIA GB300 Grace Blackwell Ultra\u003c\/strong\u003e\u003cspan class=\"PDq2pG_selectionAnchor\"\u003e\u003c\/span\u003e\n\u003c\/h3\u003e\n\u003cp\u003eThe GIGABYTE W775-V10-L01 is a next-generation AI supercomputer built to accelerate the most demanding artificial intelligence, machine learning, and high-performance computing workloads. Powered by the NVIDIA GB300 Grace Blackwell Ultra Superchip, the system delivers up to \u003cstrong\u003e20 PFLOPS of AI compute\u003c\/strong\u003e, enabling enterprises to train, fine-tune, and deploy large language models (LLMs), generative AI applications, AI agents, computer vision models, and scientific simulations entirely on-premises. Designed for organisations requiring maximum performance and complete data sovereignty, it is an ideal solution for enterprise AI, research, and advanced engineering environments.\u003c\/p\u003e\n\u003ch3\u003e\u003cstrong\u003e748GB Coherent Unified Memory for Massive AI Models\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp\u003eThe GIGABYTE W775-V10-L01 features \u003cstrong\u003e748GB of coherent unified memory\u003c\/strong\u003e, allowing AI models and large datasets to reside within a single high-speed memory space. This advanced architecture significantly reduces data transfer bottlenecks between the CPU and GPU, improving performance for AI inferencing, retrieval-augmented generation (RAG), foundation model fine-tuning, digital twins, engineering simulations, cybersecurity analytics, and large-scale scientific research.\u003c\/p\u003e\n\u003ch3\u003e\u003cstrong\u003e72-Core NVIDIA Grace CPU with Dual 400Gb Networking\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp\u003eAt the heart of the system is the \u003cstrong\u003e72-core NVIDIA Grace Arm Neoverse V2 CPU\u003c\/strong\u003e, tightly integrated with the NVIDIA Blackwell Ultra GPU for exceptional memory bandwidth and processing efficiency. Dual \u003cstrong\u003eNVIDIA ConnectX®-8 400GbE networking\u003c\/strong\u003e provides ultra-low latency, high-bandwidth connectivity, making the workstation ideal for distributed AI training, clustered deployments, and enterprise-scale high-performance computing environments.\u003c\/p\u003e\n\u003ch3\u003e\u003cstrong\u003eBuilt for Private AI Infrastructure and Enterprise Deployment\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp\u003eDesigned for continuous enterprise operation, the GIGABYTE W775-V10-L01 includes advanced liquid cooling, enterprise-grade reliability, high-speed PCIe Gen5 expansion, and remote management capabilities for mission-critical deployments. Whether deployed as a standalone AI workstation or integrated into a private AI cloud, it delivers the scalability, performance, and security required for healthcare, financial services, manufacturing, autonomous systems, government agencies, and AI research laboratories.\u003c\/p\u003e\n\u003ch3\u003e\u003cstrong\u003eTechnical Specifications\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp\u003e\u003cstrong\u003eGeneral\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eModel: W775-V10-L01\u003cbr\u003eProduct Name: GIGABYTE W775-V10-L01 NVIDIA GB300 AI Supercomputer, 72-Core Grace CPU, 748GB Memory \u0026amp; Dual 400Gb Networking\u003cbr\u003eManufacturer: GIGABYTE\u003cbr\u003eProduct Series: GIGABYTE AI TOP Workstation\u003cbr\u003eProduct Type: Enterprise AI Supercomputer \/ AI Workstation\u003cbr\u003eCompute Platform: NVIDIA GB300 Grace Blackwell Ultra Desktop Superchip\u003cbr\u003eProcessor Architecture: NVIDIA Grace CPU + NVIDIA Blackwell Ultra GPU\u003cbr\u003eCPU Platform: NVIDIA Grace CPU Superchip\u003cbr\u003eGPU Platform: NVIDIA Blackwell Ultra GPU\u003cbr\u003eSystem Architecture: Unified Coherent CPU-GPU Computing Platform\u003cbr\u003eCooling System: Closed-Loop Liquid Cooling Solution\u003cbr\u003ePower Supply: 1600W ATX 80 PLUS Platinum Power Supply\u003cbr\u003eOperating System: Ubuntu Linux AI Environment (Configuration Dependent)\u003cbr\u003eDeployment: AI Training, AI Inferencing, AI Agents, Machine Learning, Deep Learning, HPC, Scientific Research and Enterprise AI Development\u003cbr\u003eTarget Users: AI Developers, Research Institutions, Universities, Government Agencies, Enterprises, Data Scientists and Engineering Teams\u003cbr\u003eWarranty: GIGABYTE Enterprise Warranty (Configuration Dependent)\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eProcessor Specifications\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eProcessor Platform: NVIDIA GB300 Grace Blackwell Ultra Desktop Superchip\u003cbr\u003eProcessor Quantity: 1\u003cbr\u003eCPU Model: NVIDIA Grace CPU\u003cbr\u003eCPU Architecture: Arm\u003cbr\u003eCPU Core Architecture: Arm Neoverse V2\u003cbr\u003eCPU Core Count: 72 Cores\u003cbr\u003eGPU Architecture: NVIDIA Blackwell Ultra\u003cbr\u003eCPU-GPU Interconnect: NVIDIA NVLink-C2C\u003cbr\u003eUnified CPU-GPU Architecture: Supported\u003cbr\u003eUnified Address Space: Supported\u003cbr\u003eCoherent CPU-GPU Memory Access: Supported\u003cbr\u003eLarge-Scale Parallel Computing: Supported\u003cbr\u003eHigh-Speed CPU-GPU Data Exchange: Supported\u003cbr\u003eScientific Computing: Supported\u003cbr\u003eHigh-Performance Computing: Supported\u003cbr\u003eContinuous AI Processing: Supported\u003cbr\u003eOptimized for Enterprise AI Workloads\u003cbr\u003eOptimized for Foundation Models\u003cbr\u003eOptimized for Large Language Models\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eAI Performance\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eMaximum AI Compute Performance: Up to 20 PetaFLOPS FP4\u003cbr\u003eAI Accelerator: NVIDIA Blackwell Ultra GPU\u003cbr\u003eTransformer Engine: Second-Generation NVIDIA Transformer Engine\u003cbr\u003eTensor Cores: Fifth-Generation NVIDIA Tensor Cores\u003cbr\u003eFP4 Computing: Supported\u003cbr\u003eFP6 Computing: Supported\u003cbr\u003eFP8 Computing: Supported\u003cbr\u003eFP16 Computing: Supported\u003cbr\u003eBF16 Computing: Supported\u003cbr\u003eINT8 Inferencing: Supported\u003cbr\u003eMixed Precision Computing: Supported\u003cbr\u003eLarge Language Model Acceleration: Supported\u003cbr\u003eFoundation Model Training: Supported\u003cbr\u003eFoundation Model Fine-Tuning: Supported\u003cbr\u003eGenerative AI Processing: Supported\u003cbr\u003eAI Agent Development: Supported\u003cbr\u003eReasoning Model Processing: Supported\u003cbr\u003eRetrieval-Augmented Generation (RAG): Supported\u003cbr\u003eMultimodal AI: Supported\u003cbr\u003eScientific AI Computing: Supported\u003cbr\u003eDistributed AI Training: Supported\u003cbr\u003eProduction AI Inferencing: Supported\u003cbr\u003eSupports AI Models Up to 1 Trillion Parameters\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eAI Features\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eLarge Language Model Development\u003cbr\u003eLarge Language Model Training\u003cbr\u003eLarge Language Model Fine-Tuning\u003cbr\u003eFoundation Model Development\u003cbr\u003eFoundation Model Optimization\u003cbr\u003eGenerative AI\u003cbr\u003eAgentic AI\u003cbr\u003eAI Agent Development\u003cbr\u003eRetrieval-Augmented Generation\u003cbr\u003eReasoning Models\u003cbr\u003eMultimodal AI\u003cbr\u003eComputer Vision\u003cbr\u003eNatural Language Processing\u003cbr\u003eSpeech AI\u003cbr\u003eRecommendation Systems\u003cbr\u003ePredictive Analytics\u003cbr\u003eDigital Twin Simulation\u003cbr\u003eScientific Machine Learning\u003cbr\u003eDrug Discovery\u003cbr\u003eMolecular Modelling\u003cbr\u003eFinancial AI\u003cbr\u003eCybersecurity AI\u003cbr\u003eManufacturing AI\u003cbr\u003eHealthcare AI\u003cbr\u003eEnterprise Knowledge Assistants\u003cbr\u003ePrivate AI Deployment\u003cbr\u003eHybrid AI Infrastructure\u003cbr\u003eDistributed AI Computing\u003cbr\u003eEnterprise AI Factory Deployment\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eMemory Specifications\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eTotal System Memory: 748GB Coherent Unified Memory\u003cbr\u003eGPU Memory: 252GB HBM3E\u003cbr\u003eGPU Memory Bandwidth: Up to 7.1TB\/s\u003cbr\u003eCPU Memory: 496GB LPDDR5X\u003cbr\u003eCPU Memory Bandwidth: Up to 396GB\/s\u003cbr\u003eMemory Architecture: Unified Coherent CPU-GPU Memory\u003cbr\u003eUnified Address Space: Supported\u003cbr\u003eCPU-GPU Shared Memory Pool: Supported\u003cbr\u003eMemory Coherency: Supported\u003cbr\u003eHigh-Bandwidth Memory Architecture: Supported\u003cbr\u003eLow-Latency Memory Access: Supported\u003cbr\u003eLarge AI Model Loading: Supported\u003cbr\u003eLarge Context Window Processing: Supported\u003cbr\u003eTrillion-Parameter Model Inferencing: Supported\u003cbr\u003eLarge Dataset Processing: Supported\u003cbr\u003eMemory Intensive AI Applications: Supported\u003cbr\u003eScientific Simulation Support: Supported\u003cbr\u003eVector Database Processing: Supported\u003cbr\u003eEnterprise AI Pipeline Support: Supported\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eStorage Specifications\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eStorage Technology: NVMe Solid-State Drive\u003cbr\u003eDrive Form Factor: M.2 2280\u003cbr\u003eStorage Interface: PCI Express NVMe\u003c\/p\u003e\n\u003cp\u003eInstalled Storage Slots:\u003c\/p\u003e\n\u003cp\u003e2 × M.2 PCIe Gen6 x4\u003c\/p\u003e\n\u003cp\u003e2 × M.2 PCIe Gen5 x4\u003c\/p\u003e\n\u003cp\u003eMaximum Storage Configuration: Configuration Dependent\u003c\/p\u003e\n\u003cp\u003eBoot Drive Support: Supported\u003c\/p\u003e\n\u003cp\u003eEnterprise NVMe SSD Support\u003c\/p\u003e\n\u003cp\u003ePCIe Gen6 High-Speed Storage\u003c\/p\u003e\n\u003cp\u003ePCIe Gen5 High-Speed Storage\u003c\/p\u003e\n\u003cp\u003eAI Dataset Storage\u003c\/p\u003e\n\u003cp\u003eModel Checkpoint Storage\u003c\/p\u003e\n\u003cp\u003eVector Database Storage\u003c\/p\u003e\n\u003cp\u003eContainer Repository Storage\u003c\/p\u003e\n\u003cp\u003eTraining Dataset Storage\u003c\/p\u003e\n\u003cp\u003eContinuous Enterprise Read\/Write Workloads\u003c\/p\u003e\n\u003cp\u003eStorage Expansion Supported\u003c\/p\u003e\n\u003cp\u003eStorage Health Monitoring\u003c\/p\u003e\n\u003cp\u003eRemote Storage Status Monitoring\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eGraphics Specifications\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eGPU Model: NVIDIA Blackwell Ultra\u003c\/p\u003e\n\u003cp\u003eGPU Quantity: 1\u003c\/p\u003e\n\u003cp\u003eGPU Architecture: NVIDIA Blackwell Ultra\u003c\/p\u003e\n\u003cp\u003eTensor Cores: Fifth-Generation NVIDIA Tensor Cores\u003c\/p\u003e\n\u003cp\u003eTransformer Engine: Second Generation\u003c\/p\u003e\n\u003cp\u003eCUDA Support\u003c\/p\u003e\n\u003cp\u003eCUDA-X Libraries\u003c\/p\u003e\n\u003cp\u003eTensorRT\u003c\/p\u003e\n\u003cp\u003eTensorRT-LLM\u003c\/p\u003e\n\u003cp\u003ecuDNN\u003c\/p\u003e\n\u003cp\u003eRAPIDS\u003c\/p\u003e\n\u003cp\u003eNVIDIA AI Enterprise\u003c\/p\u003e\n\u003cp\u003eNVIDIA NeMo\u003c\/p\u003e\n\u003cp\u003eNVIDIA NGC Containers\u003c\/p\u003e\n\u003cp\u003eGPUDirect RDMA\u003c\/p\u003e\n\u003cp\u003eGPUDirect Storage\u003c\/p\u003e\n\u003cp\u003eMixed Precision Computing\u003c\/p\u003e\n\u003cp\u003eLarge Language Model Acceleration\u003c\/p\u003e\n\u003cp\u003eScientific Computing Acceleration\u003c\/p\u003e\n\u003cp\u003eEnterprise AI Development\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eNetworking Specifications\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eHigh-Speed Network Controller:\u003c\/p\u003e\n\u003cp\u003eNVIDIA ConnectX-8 SuperNIC\u003c\/p\u003e\n\u003cp\u003eNetwork Ports:\u003c\/p\u003e\n\u003cp\u003e2 × 400Gb\/s QSFP112\u003c\/p\u003e\n\u003cp\u003eMaximum Aggregate Network Bandwidth:\u003c\/p\u003e\n\u003cp\u003eUp to 800Gbps\u003c\/p\u003e\n\u003cp\u003eAdditional Ethernet:\u003c\/p\u003e\n\u003cp\u003e1 × 10GbE RJ45 (Marvell)\u003c\/p\u003e\n\u003cp\u003eDedicated Management Port:\u003c\/p\u003e\n\u003cp\u003e1 × Management LAN\u003c\/p\u003e\n\u003cp\u003eRDMA Support\u003c\/p\u003e\n\u003cp\u003eRoCE Support\u003c\/p\u003e\n\u003cp\u003eGPUDirect RDMA\u003c\/p\u003e\n\u003cp\u003eGPUDirect Storage\u003c\/p\u003e\n\u003cp\u003eDistributed AI Training\u003c\/p\u003e\n\u003cp\u003eAI Cluster Networking\u003c\/p\u003e\n\u003cp\u003eScale-Out AI Infrastructure\u003c\/p\u003e\n\u003cp\u003eEnterprise AI Fabric Integration\u003c\/p\u003e\n\u003cp\u003eHigh-Speed Storage Networking\u003c\/p\u003e\n\u003cp\u003eHigh-Performance Computing Cluster Support\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003ePorts \u0026amp; Expansion\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003e2 × 400Gb\/s QSFP112\u003c\/p\u003e\n\u003cp\u003e1 × 10GbE RJ45 LAN\u003c\/p\u003e\n\u003cp\u003e1 × Dedicated Management LAN\u003c\/p\u003e\n\u003cp\u003e2 × M.2 PCIe Gen6 x4\u003c\/p\u003e\n\u003cp\u003e2 × M.2 PCIe Gen5 x4\u003c\/p\u003e\n\u003cp\u003e1 × PCIe Gen5 x16 Expansion Slot\u003c\/p\u003e\n\u003cp\u003e2 × PCIe Gen5 x8 Expansion Slots\u003c\/p\u003e\n\u003cp\u003eUSB Connectivity: Configuration Dependent\u003c\/p\u003e\n\u003cp\u003eDisplay Connectivity: Configuration Dependent\u003c\/p\u003e\n\u003cp\u003eFuture Enterprise Expansion Supported\u003c\/p\u003e\n\u003cp\u003eRack Integration Supported\u003c\/p\u003e\n\u003cp\u003eHigh-Speed Storage Expansion Supported\u003c\/p\u003e\n\u003cp\u003eAdditional Enterprise Networking Expansion Supported\u003c\/p\u003e\n\u003cp\u003eDedicated Management Interface Supported\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eCooling System\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eClosed-Loop Liquid Cooling\u003c\/p\u003e\n\u003cp\u003eOptimized CPU Cooling\u003c\/p\u003e\n\u003cp\u003eOptimized GPU Cooling\u003c\/p\u003e\n\u003cp\u003eHigh-Efficiency Thermal Design\u003c\/p\u003e\n\u003cp\u003eContinuous AI Training Support\u003c\/p\u003e\n\u003cp\u003eContinuous AI Inferencing Support\u003c\/p\u003e\n\u003cp\u003eLow Acoustic Enterprise Design\u003c\/p\u003e\n\u003cp\u003eThermal Monitoring\u003c\/p\u003e\n\u003cp\u003eFan Speed Monitoring\u003c\/p\u003e\n\u003cp\u003eAutomatic Thermal Protection\u003c\/p\u003e\n\u003cp\u003e24×7 Enterprise Operation\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003ePower Specifications\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003ePower Supply Capacity: 1600W\u003c\/p\u003e\n\u003cp\u003ePower Supply Type: ATX\u003c\/p\u003e\n\u003cp\u003eEfficiency Rating: 80 PLUS Platinum\u003c\/p\u003e\n\u003cp\u003eEnterprise High-Efficiency Design\u003c\/p\u003e\n\u003cp\u003eContinuous AI Workloads Supported\u003c\/p\u003e\n\u003cp\u003eRemote Power Monitoring: Configuration Dependent\u003c\/p\u003e\n\u003cp\u003eEnterprise Power Management\u003c\/p\u003e\n\u003cp\u003eHigh-Load GPU Processing Support\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eCompatibility\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eCompatible AI Frameworks:\u003c\/p\u003e\n\u003cp\u003ePyTorch\u003c\/p\u003e\n\u003cp\u003eTensorFlow\u003c\/p\u003e\n\u003cp\u003eJAX\u003c\/p\u003e\n\u003cp\u003eONNX Runtime\u003c\/p\u003e\n\u003cp\u003eHugging Face Transformers\u003c\/p\u003e\n\u003cp\u003eDeepSpeed\u003c\/p\u003e\n\u003cp\u003eMegatron-LM\u003c\/p\u003e\n\u003cp\u003eTensorRT\u003c\/p\u003e\n\u003cp\u003eTensorRT-LLM\u003c\/p\u003e\n\u003cp\u003eNVIDIA NeMo\u003c\/p\u003e\n\u003cp\u003eNVIDIA Triton Inference Server\u003c\/p\u003e\n\u003cp\u003eCUDA Toolkit\u003c\/p\u003e\n\u003cp\u003ecuDNN\u003c\/p\u003e\n\u003cp\u003eRAPIDS\u003c\/p\u003e\n\u003cp\u003eCompatible Deployment Platforms:\u003c\/p\u003e\n\u003cp\u003eDocker\u003c\/p\u003e\n\u003cp\u003eKubernetes\u003c\/p\u003e\n\u003cp\u003eNVIDIA NGC\u003c\/p\u003e\n\u003cp\u003eUbuntu Linux\u003c\/p\u003e\n\u003cp\u003eEnterprise AI Enterprise\u003c\/p\u003e\n\u003cp\u003ePrivate AI Infrastructure\u003c\/p\u003e\n\u003cp\u003eHybrid AI Infrastructure\u003c\/p\u003e\n\u003cp\u003eEnterprise MLOps Platforms\u003c\/p\u003e\n\u003cp\u003eCompatible AI Workloads:\u003c\/p\u003e\n\u003cp\u003eLarge Language Models\u003c\/p\u003e\n\u003cp\u003eFoundation Models\u003c\/p\u003e\n\u003cp\u003eGenerative AI\u003c\/p\u003e\n\u003cp\u003eAI Agents\u003c\/p\u003e\n\u003cp\u003eRetrieval-Augmented Generation\u003c\/p\u003e\n\u003cp\u003eMachine Learning\u003c\/p\u003e\n\u003cp\u003eDeep Learning\u003c\/p\u003e\n\u003cp\u003eComputer Vision\u003c\/p\u003e\n\u003cp\u003eNatural Language Processing\u003c\/p\u003e\n\u003cp\u003eSpeech AI\u003c\/p\u003e\n\u003cp\u003eScientific Computing\u003c\/p\u003e\n\u003cp\u003eHigh-Performance Computing\u003c\/p\u003e\n\u003cp\u003eDigital Twins\u003c\/p\u003e\n\u003cp\u003eEnterprise AI\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eDesign \u0026amp; Construction\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eEnterprise AI Workstation Design\u003c\/p\u003e\n\u003cp\u003eProfessional AI Supercomputer Chassis\u003c\/p\u003e\n\u003cp\u003eClosed-Loop Liquid Cooling Chassis\u003c\/p\u003e\n\u003cp\u003eHigh-Density Compute Platform\u003c\/p\u003e\n\u003cp\u003eEnterprise Cable Management\u003c\/p\u003e\n\u003cp\u003eServiceable Internal Components\u003c\/p\u003e\n\u003cp\u003eContinuous 24×7 Operational Design\u003c\/p\u003e\n\u003cp\u003eDatacenter-Class Internal Architecture\u003c\/p\u003e\n\u003cp\u003eProfessional Engineering Design\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eEnvironmental Specifications\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eOperating Environment: Enterprise Office or AI Laboratory\u003c\/p\u003e\n\u003cp\u003eContinuous Operation Supported\u003c\/p\u003e\n\u003cp\u003eThermal Monitoring\u003c\/p\u003e\n\u003cp\u003eEnvironmental Monitoring\u003c\/p\u003e\n\u003cp\u003eHigh Reliability Components\u003c\/p\u003e\n\u003cp\u003eConfiguration Dependent Certifications\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003ePhysical Specifications\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eProduct Type: Enterprise AI Supercomputer\u003c\/p\u003e\n\u003cp\u003eForm Factor: Deskside AI Supercomputer\u003c\/p\u003e\n\u003cp\u003eCooling: Closed-Loop Liquid Cooling\u003c\/p\u003e\n\u003cp\u003ePower Supply: 1600W Platinum\u003c\/p\u003e\n\u003cp\u003eColour: Black\u003c\/p\u003e\n\u003cp\u003eDimensions: Configuration Dependent\u003c\/p\u003e\n\u003cp\u003eWeight: Configuration Dependent\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003ePackage Contents\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eGIGABYTE W775-V10-L01 AI Supercomputer\u003c\/p\u003e\n\u003cp\u003e1600W Platinum Power Supply\u003c\/p\u003e\n\u003cp\u003ePower Cable\u003c\/p\u003e\n\u003cp\u003eQuick Installation Guide\u003c\/p\u003e\n\u003cp\u003eWarranty Documentation\u003c\/p\u003e\n\u003cp\u003eEnterprise Support Documentation\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eKey Features\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eNVIDIA GB300 Grace Blackwell Ultra Desktop Superchip\u003c\/p\u003e\n\u003cp\u003e72-Core NVIDIA Grace CPU\u003c\/p\u003e\n\u003cp\u003eArm Neoverse V2 Architecture\u003c\/p\u003e\n\u003cp\u003eSingle NVIDIA Blackwell Ultra GPU\u003c\/p\u003e\n\u003cp\u003e748GB Unified Coherent Memory\u003c\/p\u003e\n\u003cp\u003e252GB HBM3E GPU Memory\u003c\/p\u003e\n\u003cp\u003e496GB LPDDR5X CPU Memory\u003c\/p\u003e\n\u003cp\u003eUp to 20 PFLOPS AI Performance\u003c\/p\u003e\n\u003cp\u003eSupports AI Models Up to 1 Trillion Parameters\u003c\/p\u003e\n\u003cp\u003eDual NVIDIA ConnectX-8 400Gb Networking\u003c\/p\u003e\n\u003cp\u003e800Gbps Aggregate Network Bandwidth\u003c\/p\u003e\n\u003cp\u003e1 × 10GbE LAN\u003c\/p\u003e\n\u003cp\u003eDedicated Management LAN\u003c\/p\u003e\n\u003cp\u003e2 × PCIe Gen6 M.2 SSD Slots\u003c\/p\u003e\n\u003cp\u003e2 × PCIe Gen5 M.2 SSD Slots\u003c\/p\u003e\n\u003cp\u003ePCIe Gen5 Expansion\u003c\/p\u003e\n\u003cp\u003eClosed-Loop Liquid Cooling\u003c\/p\u003e\n\u003cp\u003e1600W 80 PLUS Platinum Power Supply\u003c\/p\u003e\n\u003cp\u003eEnterprise AI Development Ready\u003c\/p\u003e\n\u003cp\u003eCUDA, TensorRT \u0026amp; NVIDIA AI Enterprise Ready\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003ePerformance \u0026amp; Features\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eThe GIGABYTE W775-V10-L01 is a next-generation deskside AI supercomputer powered by the NVIDIA GB300 Grace Blackwell Ultra Desktop Superchip. It combines a 72-core NVIDIA Grace CPU based on the Arm Neoverse V2 architecture with the latest NVIDIA Blackwell Ultra GPU to deliver up to \u003cstrong\u003e20 petaFLOPS\u003c\/strong\u003e of FP4 AI compute performance for enterprise AI development, model training, fine-tuning and inferencing.\u003c\/p\u003e\n\u003cp\u003eThe system integrates \u003cstrong\u003e748GB of coherent unified memory\u003c\/strong\u003e, consisting of \u003cstrong\u003e252GB HBM3E GPU memory\u003c\/strong\u003e delivering up to \u003cstrong\u003e7.1TB\/s\u003c\/strong\u003e bandwidth and \u003cstrong\u003e496GB LPDDR5X CPU memory\u003c\/strong\u003e providing up to \u003cstrong\u003e396GB\/s\u003c\/strong\u003e bandwidth. The coherent memory architecture enables the CPU and GPU to access a shared memory pool, significantly reducing data movement while supporting AI models with up to \u003cstrong\u003eone trillion parameters\u003c\/strong\u003e.\u003c\/p\u003e\n\u003cp\u003eFor high-speed storage, the workstation provides \u003cstrong\u003efour M.2 NVMe SSD slots\u003c\/strong\u003e, including \u003cstrong\u003etwo PCIe Gen6 x4\u003c\/strong\u003e and \u003cstrong\u003etwo PCIe Gen5 x4\u003c\/strong\u003e interfaces, allowing organizations to deploy ultra-fast storage for AI datasets, vector databases, model checkpoints and local inference repositories.\u003c\/p\u003e\n\u003cp\u003eNetworking is powered by \u003cstrong\u003edual NVIDIA ConnectX-8 SuperNICs\u003c\/strong\u003e with \u003cstrong\u003etwo 400Gb\/s QSFP112 ports\u003c\/strong\u003e, providing up to \u003cstrong\u003e800Gbps aggregate bandwidth\u003c\/strong\u003e for distributed AI training, GPUDirect RDMA, GPUDirect Storage and large-scale AI cluster connectivity. 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