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This compact and efficient device allows developers, educators, and students to build AI projects with ease. Despite its small size, it offers exceptional performance for machine learning, computer vision, and robotics. The developer kit provides access to the same NVIDIA CUDA-X software and AI libraries that power sophisticated AI models, making it an ideal entry point for those seeking hands-on experience in AI development.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eAI-Powered Performance in a Compact Form Factor\u003c\/strong\u003e\u003cbr\u003eThe \u003cstrong\u003eNVIDIA Jetson Nano 4GB Developer Kit\u003c\/strong\u003e is equipped with a quad-core ARM Cortex-A57 processor and a 128-core Maxwell GPU, delivering robust performance for AI applications. This powerful hardware supports multiple neural networks running in parallel, enabling real-time AI inference on edge devices. With 4GB of LPDDR4 memory, the Jetson Nano ensures smooth handling of AI models and data streams. This performance-packed development kit enables developers to create advanced AI applications for robotics, drones, smart devices, and edge AI solutions with minimal effort.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eUser-Friendly, Scalable, and Ready-to-Use AI Development Kit\u003c\/strong\u003e\u003cbr\u003eDesigned to lower barriers to AI development, the \u003cstrong\u003eNVIDIA Jetson Nano 4GB Developer Kit\u003c\/strong\u003e provides a plug-and-play experience. Its user-friendly interface allows developers, educators, and hobbyists to get started with AI in minutes. The system features USB ports, HDMI, and Ethernet connectivity, offering extensive compatibility with peripherals, sensors, and cameras. With support for the NVIDIA JetPack SDK, developers can access a suite of pre-trained AI models, tools, and libraries, enabling faster development cycles. The kit is scalable, allowing users to start with simple projects and transition to more advanced AI applications as their skills progress.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eAI at the Edge – Real-Time Inference and Low Latency\u003c\/strong\u003e\u003cbr\u003eFor edge AI applications, the \u003cstrong\u003eNVIDIA Jetson Nano 4GB Developer Kit\u003c\/strong\u003e is the perfect solution. It processes AI tasks at the edge, reducing latency and enabling real-time decision-making for smart cameras, security systems, industrial IoT, and more. With its energy-efficient design, it consumes minimal power, making it ideal for use in portable or battery-powered devices. Developers can also integrate the Jetson Nano into smart home systems and edge computing devices to achieve real-time automation and AI-driven control.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eTechnical Specifications of NVIDIA Jetson Nano 4GB Developer Kit\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eProcessor\u003c\/strong\u003e: Quad-core ARM Cortex-A57 CPU\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eGPU\u003c\/strong\u003e: 128-core Maxwell GPU\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eMemory\u003c\/strong\u003e: 4GB LPDDR4\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eI\/O Ports\u003c\/strong\u003e: USB 3.0, USB 2.0, HDMI 2.0, Ethernet, GPIO, CSI Camera Connector\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eConnectivity\u003c\/strong\u003e: Ethernet, Wi-Fi (via adapter)\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eSoftware Support\u003c\/strong\u003e: NVIDIA JetPack SDK, CUDA, cuDNN, TensorRT, AI libraries\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eGTIN\u003c\/strong\u003e: 812674024019\u003c\/li\u003e\n\u003c\/ul\u003e","brand":"Nvidia","offers":[{"title":"Default Title","offer_id":44853901099172,"sku":"945-13450-0000-100","price":265.0,"currency_code":"SGD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0605\/0136\/0804\/products\/nvidia-jetson-nano-4gb-developer-kit-945-13450-0000-100-935815.jpg?v=1702465292"},{"product_id":"asus-ascent-gx10-compact-desktop-ai-supercomputer-1tb-gx10-gg0007bn","title":"ASUS Ascent GX10 Compact AI Supercomputer - 1TB","description":"\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 data-start=\"153\" data-end=\"611\"\u003e\u003cstrong data-start=\"153\" data-end=\"218\"\u003eASUS Ascent GX10 – Compact AI Supercomputer for Professionals\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp data-start=\"153\" data-end=\"611\"\u003eThe ASUS Ascent GX10 is a next-generation compact AI supercomputer built for creators, researchers, and professionals who demand extreme computational performance in a small form factor. It redefines desktop power by delivering workstation-level capabilities for AI development, 3D rendering, data processing, and machine learning — all within a sleek, compact chassis that fits anywhere.\u003c\/p\u003e\n\u003ch3 data-start=\"613\" data-end=\"1046\"\u003e\u003cstrong data-start=\"613\" data-end=\"660\"\u003eUnleash AI Power and Next-Level Performance\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp data-start=\"613\" data-end=\"1046\"\u003ePowered by ASUS’s cutting-edge architecture, the GX10 leverages advanced CPU and GPU performance to accelerate AI workflows. From deep learning models to generative AI tasks, this system provides unparalleled processing speed and stability. It’s designed to handle the most complex computations effortlessly, offering the perfect balance between compact design and raw performance.\u003c\/p\u003e\n\u003ch3 data-start=\"1048\" data-end=\"1421\"\u003e\u003cstrong data-start=\"1048\" data-end=\"1093\"\u003e1TB Storage for Massive Data and Projects\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp data-start=\"1048\" data-end=\"1421\"\u003eThe ASUS Ascent GX10 comes equipped with a massive 1TB of high-speed SSD storage, ensuring quick data access and lightning-fast file transfers. Whether you’re training AI models, editing 4K content, or managing large datasets, the GX10 gives you ample space and speed for all your professional workloads without compromise.\u003c\/p\u003e\n\u003ch3 data-start=\"1423\" data-end=\"1850\"\u003e\u003cstrong data-start=\"1423\" data-end=\"1483\"\u003eCompact Design, Exceptional Cooling, and Quiet Operation\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp data-start=\"1423\" data-end=\"1850\"\u003eDespite its compact size, the GX10 is engineered for superior thermal efficiency. Its optimized airflow and cooling design keep performance stable under heavy load, while maintaining whisper-quiet operation. The premium chassis construction reflects ASUS’s signature blend of elegance and engineering excellence, ideal for professional and creative environments.\u003c\/p\u003e\n\u003cp data-start=\"1409\" data-end=\"1821\"\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\u003ch3 data-start=\"383\" data-end=\"423\"\u003e\u003cstrong data-start=\"387\" data-end=\"423\"\u003eTechnical Specification: \u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp data-start=\"42\" data-end=\"710\"\u003e\u003cstrong data-start=\"42\" data-end=\"53\"\u003eGeneral\u003c\/strong\u003e\u003cbr data-start=\"53\" data-end=\"56\"\u003eModel: Ascent GX10 1TB\u003cbr data-start=\"78\" data-end=\"81\"\u003ePart Number: 90MS0371-M00070\u003cbr data-start=\"109\" data-end=\"112\"\u003eSKU: GX10-GG0007BN\u003cbr data-start=\"130\" data-end=\"133\"\u003eProduct Name: ASUS Ascent GX10 Compact Desktop AI Supercomputer – 1TB\u003cbr data-start=\"202\" data-end=\"205\"\u003eManufacturer: \u003cspan class=\"\" data-state=\"closed\"\u003eASUS\u003c\/span\u003e\u003cbr data-start=\"256\" data-end=\"259\"\u003eProduct Type: Desktop AI Supercomputer\u003cbr data-start=\"297\" data-end=\"300\"\u003eDeployment: AI Development, Machine Learning, Data Science, Edge AI, Research Labs\u003cbr data-start=\"382\" data-end=\"385\"\u003eUsage Mode: AI Training, Fine-Tuning, Inference, Data Analytics, LLM Development\u003cbr data-start=\"465\" data-end=\"468\"\u003eOperating System: Ubuntu Linux \/ NVIDIA DGX OS\u003cbr data-start=\"514\" data-end=\"517\"\u003eForm Factor: Ultra-Compact Desktop AI Workstation\u003cbr data-start=\"566\" data-end=\"569\"\u003eWarranty: 1 Year Onsite Warranty (Limited-Time Free Upgrade to 3 Years Warranty from selected partners) \u003cspan class=\"\" data-state=\"closed\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp data-start=\"712\" data-end=\"1043\"\u003e\u003cstrong data-start=\"712\" data-end=\"740\"\u003eProcessor Specifications\u003c\/strong\u003e\u003cbr data-start=\"740\" data-end=\"743\"\u003eProcessor Platform: NVIDIA GB10 Grace Blackwell Superchip\u003cbr data-start=\"800\" data-end=\"803\"\u003eCPU Architecture: ARM v9.2-A\u003cbr data-start=\"831\" data-end=\"834\"\u003eCPU Configuration: 20-Core ARM CPU\u003cbr data-start=\"868\" data-end=\"871\"\u003ePerformance Cores: 10 × Cortex-X925\u003cbr data-start=\"906\" data-end=\"909\"\u003eEfficiency Cores: 10 × Cortex-A725\u003cbr data-start=\"943\" data-end=\"946\"\u003eAI Compute Performance: Up to 1 PetaFLOP FP4 AI Performance \u003cspan class=\"\" data-state=\"closed\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp data-start=\"1045\" data-end=\"1443\"\u003e\u003cstrong data-start=\"1045\" data-end=\"1072\"\u003eGraphics Specifications\u003c\/strong\u003e\u003cbr data-start=\"1072\" data-end=\"1075\"\u003eGraphics Processor: NVIDIA Blackwell GPU (Integrated GB10)\u003cbr data-start=\"1133\" data-end=\"1136\"\u003eGPU Architecture: Blackwell\u003cbr data-start=\"1163\" data-end=\"1166\"\u003eGPU Memory Architecture: Unified CPU-GPU Memory\u003cbr data-start=\"1213\" data-end=\"1216\"\u003eAI Acceleration: Fifth-Generation NVIDIA Tensor Cores\u003cbr data-start=\"1269\" data-end=\"1272\"\u003eAI Framework Support: CUDA, TensorRT, PyTorch, TensorFlow, Jupyter\u003cbr data-start=\"1338\" data-end=\"1341\"\u003eLarge Language Model Support: Up to 200 Billion Parameter Models \u003cspan class=\"\" data-state=\"closed\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp data-start=\"1445\" data-end=\"1754\"\u003e\u003cstrong data-start=\"1445\" data-end=\"1470\"\u003eMemory Specifications\u003c\/strong\u003e\u003cbr data-start=\"1470\" data-end=\"1473\"\u003eInstalled Memory: 128GB LPDDR5X Unified Memory\u003cbr data-start=\"1519\" data-end=\"1522\"\u003eMemory Type: LPDDR5X\u003cbr data-start=\"1542\" data-end=\"1545\"\u003eMemory Architecture: Shared CPU-GPU Unified Memory\u003cbr data-start=\"1595\" data-end=\"1598\"\u003eMemory Bandwidth: Coherent Unified Memory Architecture\u003cbr data-start=\"1652\" data-end=\"1655\"\u003eLarge Dataset Support: Supported\u003cbr data-start=\"1687\" data-end=\"1690\"\u003eLLM Fine-Tuning: Supported \u003cspan class=\"\" data-state=\"closed\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp data-start=\"1756\" data-end=\"2052\"\u003e\u003cstrong data-start=\"1756\" data-end=\"1782\"\u003eStorage Specifications\u003c\/strong\u003e\u003cbr data-start=\"1782\" data-end=\"1785\"\u003eInstalled Storage: 1TB M.2 NVMe PCIe SSD\u003cbr data-start=\"1825\" data-end=\"1828\"\u003eStorage Type: PCIe NVMe SSD\u003cbr data-start=\"1855\" data-end=\"1858\"\u003eDrive Configuration: Internal SSD Storage\u003cbr data-start=\"1899\" data-end=\"1902\"\u003eApplication Support: AI Models, Datasets, Vector Databases, RAG Workloads\u003cbr data-start=\"1975\" data-end=\"1978\"\u003eHigh-Speed Storage Access: Supported \u003cspan class=\"\" data-state=\"closed\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp data-start=\"2054\" data-end=\"2322\"\u003e\u003cstrong data-start=\"2054\" data-end=\"2083\"\u003eNetworking Specifications\u003c\/strong\u003e\u003cbr data-start=\"2083\" data-end=\"2086\"\u003eEthernet: 10GbE LAN\u003cbr data-start=\"2105\" data-end=\"2108\"\u003eSmartNIC: NVIDIA ConnectX-7\u003cbr data-start=\"2135\" data-end=\"2138\"\u003eWi-Fi: Wi-Fi 7\u003cbr data-start=\"2152\" data-end=\"2155\"\u003eBluetooth: Bluetooth 5.4\u003cbr data-start=\"2179\" data-end=\"2182\"\u003eMulti-System Scaling: Supported\u003cbr data-start=\"2213\" data-end=\"2216\"\u003eCluster Networking: Supported\u003cbr data-start=\"2245\" data-end=\"2248\"\u003eLow-Latency AI Networking: Supported \u003cspan class=\"\" data-state=\"closed\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp data-start=\"2324\" data-end=\"2688\"\u003e\u003cstrong data-start=\"2324\" data-end=\"2348\"\u003ePorts \u0026amp; Connectivity\u003c\/strong\u003e\u003cbr data-start=\"2348\" data-end=\"2351\"\u003eUSB-C Ports: 4 × USB 3.2 Gen 2x2 Type-C (20Gbps)\u003cbr data-start=\"2399\" data-end=\"2402\"\u003eDisplayPort Support: DisplayPort 2.1 via USB-C Alt Mode\u003cbr data-start=\"2457\" data-end=\"2460\"\u003eDisplay Output: 1 × HDMI 2.1b\u003cbr data-start=\"2489\" data-end=\"2492\"\u003eNetwork Port: 1 × 10GbE RJ45\u003cbr data-start=\"2520\" data-end=\"2523\"\u003eNVIDIA ConnectX-7 Port: 1 × High-Speed Networking Port\u003cbr data-start=\"2577\" data-end=\"2580\"\u003eKensington Lock Slot: Supported\u003cbr data-start=\"2611\" data-end=\"2614\"\u003ePower Input: USB-C PD 3.1 (180W EPR) \u003cspan class=\"\" data-state=\"closed\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp data-start=\"2690\" data-end=\"3109\"\u003e\u003cstrong data-start=\"2690\" data-end=\"2719\"\u003eAI \u0026amp; Development Features\u003c\/strong\u003e\u003cbr data-start=\"2719\" data-end=\"2722\"\u003eAI Compute Performance: Up to 1 PetaFLOP FP4\u003cbr data-start=\"2766\" data-end=\"2769\"\u003eAI Development Platform: NVIDIA DGX Spark Ecosystem\u003cbr data-start=\"2820\" data-end=\"2823\"\u003eModel Fine-Tuning: Supported\u003cbr data-start=\"2851\" data-end=\"2854\"\u003eLocal Inference: Supported\u003cbr data-start=\"2880\" data-end=\"2883\"\u003eAgentic AI Development: Supported\u003cbr data-start=\"2916\" data-end=\"2919\"\u003eRAG Workloads: Supported\u003cbr data-start=\"2943\" data-end=\"2946\"\u003eDeep Learning Training: Supported\u003cbr data-start=\"2979\" data-end=\"2982\"\u003eDual GX10 Scaling: Supported\u003cbr data-start=\"3010\" data-end=\"3013\"\u003eMulti-Node AI Scaling: Supported via ConnectX-7 Networking \u003cspan class=\"\" data-state=\"closed\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp data-start=\"3111\" data-end=\"3410\"\u003e\u003cstrong data-start=\"3111\" data-end=\"3131\"\u003eSoftware Support\u003c\/strong\u003e\u003cbr data-start=\"3131\" data-end=\"3134\"\u003eOperating System: Ubuntu Linux\u003cbr data-start=\"3164\" data-end=\"3167\"\u003eDGX OS Support: Supported\u003cbr data-start=\"3192\" data-end=\"3195\"\u003eCUDA: Supported\u003cbr data-start=\"3210\" data-end=\"3213\"\u003ePyTorch: Supported\u003cbr data-start=\"3231\" data-end=\"3234\"\u003eTensorFlow: Supported\u003cbr data-start=\"3255\" data-end=\"3258\"\u003eTensorRT: Supported\u003cbr data-start=\"3277\" data-end=\"3280\"\u003eNVIDIA NIM: Supported\u003cbr data-start=\"3301\" data-end=\"3304\"\u003eJupyter Notebooks: Supported\u003cbr data-start=\"3332\" data-end=\"3335\"\u003eNVIDIA AI Software Stack: Supported \u003cspan class=\"\" data-state=\"closed\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp data-start=\"3412\" data-end=\"3723\"\u003e\u003cstrong data-start=\"3412\" data-end=\"3440\"\u003eCooling \u0026amp; Thermal Design\u003c\/strong\u003e\u003cbr data-start=\"3440\" data-end=\"3443\"\u003eCooling Technology: QuietFlow Cooling System\u003cbr data-start=\"3487\" data-end=\"3490\"\u003eCooling System: Triple-Fan Design\u003cbr data-start=\"3523\" data-end=\"3526\"\u003eThermal Architecture: Dual Vapor Chamber Cooling\u003cbr data-start=\"3574\" data-end=\"3577\"\u003eLow Noise Operation: Supported\u003cbr data-start=\"3607\" data-end=\"3610\"\u003eContinuous AI Processing: Supported\u003cbr data-start=\"3645\" data-end=\"3648\"\u003eOptimized Cooling Design: Supported \u003cspan class=\"\" data-state=\"closed\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp data-start=\"3725\" data-end=\"4005\"\u003e\u003cstrong data-start=\"3725\" data-end=\"3750\"\u003eDesign \u0026amp; Construction\u003c\/strong\u003e\u003cbr data-start=\"3750\" data-end=\"3753\"\u003eColor: Stellar Grey\u003cbr data-start=\"3772\" data-end=\"3775\"\u003eForm Factor: Ultra-Compact Desktop AI Supercomputer\u003cbr data-start=\"3826\" data-end=\"3829\"\u003eConstruction: Premium Metal Chassis\u003cbr data-start=\"3864\" data-end=\"3867\"\u003eDesktop Deployment: Supported\u003cbr data-start=\"3896\" data-end=\"3899\"\u003eResearch Lab Deployment: Supported\u003cbr data-start=\"3933\" data-end=\"3936\"\u003eEdge AI Deployment: Supported \u003cspan class=\"\" data-state=\"closed\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp data-start=\"4007\" data-end=\"4205\"\u003e\u003cstrong data-start=\"4007\" data-end=\"4039\"\u003eEnvironmental Specifications\u003c\/strong\u003e\u003cbr data-start=\"4039\" data-end=\"4042\"\u003ePower Supply: 240W External Power Adapter\u003cbr data-start=\"4083\" data-end=\"4086\"\u003ePower Input: USB-C PD 3.1 (180W EPR)\u003cbr data-start=\"4122\" data-end=\"4125\"\u003eEnergy Efficient AI Computing: Supported \u003cspan class=\"\" data-state=\"closed\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp data-start=\"4207\" data-end=\"4416\"\u003e\u003cstrong data-start=\"4207\" data-end=\"4234\"\u003ePhysical Specifications\u003c\/strong\u003e\u003cbr data-start=\"4234\" data-end=\"4237\"\u003eDimensions (W × D × H): 150 × 150 × 51 mm\u003cbr data-start=\"4278\" data-end=\"4281\"\u003eWeight: Approximately 1.48 kg\u003cbr data-start=\"4310\" data-end=\"4313\"\u003eForm Factor: Ultra-Compact Desktop System\u003cbr data-start=\"4354\" data-end=\"4357\"\u003eColor: Stellar Grey \u003cspan class=\"\" data-state=\"closed\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp data-start=\"4418\" data-end=\"4584\"\u003e\u003cstrong data-start=\"4418\" data-end=\"4438\"\u003ePackage Contents\u003c\/strong\u003e\u003cbr data-start=\"4438\" data-end=\"4441\"\u003eASUS Ascent GX10 AI Supercomputer (1TB)\u003cbr data-start=\"4480\" data-end=\"4483\"\u003e240W Power Adapter\u003cbr data-start=\"4501\" data-end=\"4504\"\u003ePower Cord\u003cbr data-start=\"4514\" data-end=\"4517\"\u003eUser Manual\u003cbr data-start=\"4528\" data-end=\"4531\"\u003eWarranty Card \u003cspan class=\"\" data-state=\"closed\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp data-start=\"4586\" data-end=\"5027\"\u003e\u003cstrong data-start=\"4586\" data-end=\"4602\"\u003eKey Features\u003c\/strong\u003e\u003cbr data-start=\"4602\" data-end=\"4605\"\u003eNVIDIA GB10 Grace Blackwell Superchip\u003cbr data-start=\"4642\" data-end=\"4645\"\u003eUp to 1 PetaFLOP FP4 AI Performance\u003cbr data-start=\"4680\" data-end=\"4683\"\u003e128GB LPDDR5X Unified Memory\u003cbr data-start=\"4711\" data-end=\"4714\"\u003e1TB NVMe PCIe SSD\u003cbr data-start=\"4731\" data-end=\"4734\"\u003eNVIDIA Blackwell GPU Architecture\u003cbr data-start=\"4767\" data-end=\"4770\"\u003e10GbE Networking\u003cbr data-start=\"4786\" data-end=\"4789\"\u003eNVIDIA ConnectX-7 SmartNIC\u003cbr data-start=\"4815\" data-end=\"4818\"\u003eWi-Fi 7 and Bluetooth 5.4\u003cbr data-start=\"4843\" data-end=\"4846\"\u003eUbuntu Linux \/ DGX OS Support\u003cbr data-start=\"4875\" data-end=\"4878\"\u003eUltra-Compact 1.48kg Design\u003cbr data-start=\"4905\" data-end=\"4908\"\u003eSupports Up to 200 Billion Parameter Models\u003cbr data-start=\"4951\" data-end=\"4954\"\u003eDual-System AI Scaling Capability \u003cspan class=\"\" data-state=\"closed\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp data-start=\"5029\" data-end=\"5543\"\u003e\u003cstrong data-start=\"5029\" data-end=\"5055\"\u003ePerformance \u0026amp; Features\u003c\/strong\u003e\u003cbr data-start=\"5055\" data-end=\"5058\"\u003eDesigned for AI researchers, developers, and data scientists requiring local AI computing capabilities. The NVIDIA GB10 Grace Blackwell Superchip combines a 20-core ARM CPU with a Blackwell GPU and 128GB unified memory, enabling local fine-tuning, inference, and development of large AI models. The integrated ConnectX-7 networking allows two GX10 systems to be linked together for larger workloads while maintaining a compact desktop footprint. \u003cspan class=\"\" data-state=\"closed\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp data-start=\"5545\" data-end=\"5920\"\u003e\u003cstrong data-start=\"5545\" data-end=\"5566\"\u003eTypical Use Cases\u003c\/strong\u003e\u003cbr data-start=\"5566\" data-end=\"5569\"\u003eLarge Language Model Development\u003cbr data-start=\"5601\" data-end=\"5604\"\u003eAI Agent Development\u003cbr data-start=\"5624\" data-end=\"5627\"\u003eRAG and Vector Database Workloads\u003cbr data-start=\"5660\" data-end=\"5663\"\u003eDeep Learning Research\u003cbr data-start=\"5685\" data-end=\"5688\"\u003eMachine Learning Training\u003cbr data-start=\"5713\" data-end=\"5716\"\u003eAI Inference at the Edge\u003cbr data-start=\"5740\" data-end=\"5743\"\u003eData Science Projects\u003cbr data-start=\"5764\" data-end=\"5767\"\u003eUniversity and Research Labs\u003cbr data-start=\"5795\" data-end=\"5798\"\u003eGenerative AI Applications\u003cbr data-start=\"5824\" data-end=\"5827\"\u003eComputer Vision Workloads\u003cbr data-start=\"5852\" data-end=\"5855\"\u003eEnterprise AI Development \u003cspan class=\"\" data-state=\"closed\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp data-start=\"5922\" data-end=\"6028\"\u003e\u003cstrong data-start=\"5922\" data-end=\"5936\"\u003eGTIN \/ EAN\u003c\/strong\u003e\u003cbr data-start=\"5936\" data-end=\"5939\"\u003ePart Number: 90MS0371-M00070\u003cbr data-start=\"5967\" data-end=\"5970\"\u003eSKU: GX10-GG0007BN\u003c\/p\u003e","brand":"Asus","offers":[{"title":"Default Title","offer_id":51166918541476,"sku":"GX10-GG0007BN \/ 90MS0371-M00070","price":7475.0,"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-rtx-pro™-6000-blackwell-workstation-edition-900-5g144-2500-000","title":"NVIDIA RTX PRO™ 6000 Blackwell Workstation Edition","description":"\u003ch2\u003e\n\u003cstrong\u003eNVIDIA RTX PRO™ 6000 Blackwell Workstation Edition 96 GB GDDR7 with ECC (900-5G144-2500-000) - 3 Years Local Warranty \u003c\/strong\u003e\n\u003c\/h2\u003e\n\u003ch3 data-start=\"298\" data-end=\"729\"\u003e\u003cstrong data-start=\"298\" data-end=\"349\"\u003eUltimate Professional Graphics for Workstations\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp data-start=\"298\" data-end=\"729\"\u003eThe \u003cstrong data-start=\"356\" data-end=\"410\"\u003eNVIDIA RTX PRO™ 6000 Blackwell Workstation Edition\u003c\/strong\u003e is engineered for top-tier professional workflows that demand uncompromising compute, visual fidelity, and reliability. Designed for high-end workstations, this GPU accelerates 3D modelling, simulation, real-time rendering, AI-assisted design, and complex visualisation with enterprise-class performance and stability.\u003c\/p\u003e\n\u003ch3 data-start=\"731\" data-end=\"1127\"\u003e\u003cstrong data-start=\"731\" data-end=\"770\"\u003eMassive 96 GB GDDR7 Memory with ECC\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp data-start=\"731\" data-end=\"1127\"\u003eWith a huge \u003cstrong data-start=\"785\" data-end=\"821\"\u003e96 GB of high-speed GDDR7 memory\u003c\/strong\u003e and \u003cstrong data-start=\"826\" data-end=\"857\"\u003eError-Correcting Code (ECC)\u003c\/strong\u003e support, this GPU handles massive datasets, huge models, and extended VR\/AR environments with ease. ECC helps detect and correct memory errors on the fly, ensuring data integrity for engineering simulations, scientific visualisation, and other precision-critical tasks.\u003c\/p\u003e\n\u003ch3 data-start=\"1129\" data-end=\"1510\"\u003e\u003cstrong data-start=\"1129\" data-end=\"1183\"\u003eBlackwell Architecture for Next-Level Acceleration\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp data-start=\"1129\" data-end=\"1510\"\u003ePowered by NVIDIA’s next-generation \u003cstrong data-start=\"1222\" data-end=\"1252\"\u003eBlackwell GPU architecture\u003c\/strong\u003e, the RTX PRO 6000 delivers advanced ray tracing, enhanced AI compute, and efficient parallel processing. This architecture helps professionals accelerate demanding visual compute tasks, iterate faster, and achieve greater throughput on day-to-day workloads.\u003c\/p\u003e\n\u003ch3 data-start=\"1512\" data-end=\"1895\"\u003e\u003cstrong data-start=\"1512\" data-end=\"1563\"\u003eCertified for Leading Professional Applications\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp data-start=\"1512\" data-end=\"1895\"\u003eThis graphics card is tuned and certified for major professional software across CAD, CAE, DCC (digital content creation), simulation, and rendering — including tools from Autodesk, Adobe, Dassault Systèmes, Siemens, and more. ISV certification ensures validated, reliable performance in mission-critical production environments.\u003c\/p\u003e\n\u003ch3 data-start=\"1897\" data-end=\"2271\"\u003e\u003cstrong data-start=\"1897\" data-end=\"1954\"\u003eEnterprise-Grade Stability and Long Lifecycle Support\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp data-start=\"1897\" data-end=\"2271\"\u003eBuilt for 24\/7 use in corporate workstations, design studios, and rendering farms, the RTX PRO 6000 offers enterprise-class drivers, robust error handling, and extended lifecycle support. Its emphasis on uptime, stability, and consistent performance makes it a dependable choice for professional teams and studios.\u003c\/p\u003e\n\u003ch3 data-start=\"2273\" data-end=\"2837\"\u003e\u003cstrong data-start=\"2273\" data-end=\"2322\"\u003eTechnical Specification (GTIN: 0192413940021)\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp data-start=\"168\" data-end=\"353\"\u003e\u003cstrong data-start=\"168\" data-end=\"184\"\u003eArchitecture\u003c\/strong\u003e\u003cbr data-start=\"184\" data-end=\"187\"\u003e• NVIDIA Blackwell architecture (next-gen pro GPU platform)\u003cbr data-start=\"246\" data-end=\"249\"\u003e• Designed for AI, HPC, and professional visualization workloads \u003cspan class=\"\" data-state=\"closed\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp data-start=\"355\" data-end=\"518\"\u003e\u003cstrong data-start=\"355\" data-end=\"377\"\u003eCUDA \u0026amp; Core Design\u003c\/strong\u003e\u003cbr data-start=\"377\" data-end=\"380\"\u003e• ~24,064 CUDA cores\u003cbr data-start=\"400\" data-end=\"403\"\u003e• 5th Gen Tensor Cores (AI acceleration)\u003cbr data-start=\"443\" data-end=\"446\"\u003e• 4th Gen RT Cores (ray tracing) \u003cspan class=\"\" data-state=\"closed\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp data-start=\"520\" data-end=\"720\"\u003e\u003cstrong data-start=\"520\" data-end=\"538\"\u003eAI Performance\u003c\/strong\u003e\u003cbr data-start=\"538\" data-end=\"541\"\u003e• Up to ~4000 AI TOPS (FP4 class) \u003cspan class=\"\" data-state=\"closed\"\u003e\u003c\/span\u003e\u003cbr data-start=\"612\" data-end=\"615\"\u003e• Built for LLM training, inference, and agentic AI workflows\u003cbr data-start=\"676\" data-end=\"679\"\u003e• Handles large-scale AI models locally\u003c\/p\u003e\n\u003cp data-start=\"722\" data-end=\"972\"\u003e\u003cstrong data-start=\"722\" data-end=\"748\"\u003eMemory (Key Highlight)\u003c\/strong\u003e\u003cbr data-start=\"748\" data-end=\"751\"\u003e• 96GB GDDR7 VRAM\u003cbr data-start=\"768\" data-end=\"771\"\u003e• ECC (Error-Correcting Code) for enterprise reliability\u003cbr data-start=\"827\" data-end=\"830\"\u003e• ~1792 GB\/s memory bandwidth \u003cspan class=\"\" data-state=\"closed\"\u003e\u003c\/span\u003e\u003cbr data-start=\"897\" data-end=\"900\"\u003e• Enables massive datasets, long context LLMs, and complex simulations\u003c\/p\u003e\n\u003cp data-start=\"974\" data-end=\"1201\"\u003e\u003cstrong data-start=\"974\" data-end=\"997\"\u003eCompute \u0026amp; Workloads\u003c\/strong\u003e\u003cbr data-start=\"997\" data-end=\"1000\"\u003e• AI model training and inference\u003cbr data-start=\"1033\" data-end=\"1036\"\u003e• Scientific computing \/ simulation\u003cbr data-start=\"1071\" data-end=\"1074\"\u003e• 3D rendering, VFX, CAD, digital twins\u003cbr data-start=\"1113\" data-end=\"1116\"\u003e• Real-time analytics and financial modelling \u003cspan class=\"\" data-state=\"closed\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp data-start=\"1203\" data-end=\"1409\"\u003e\u003cstrong data-start=\"1203\" data-end=\"1226\"\u003eEncoding \/ Decoding\u003c\/strong\u003e\u003cbr data-start=\"1226\" data-end=\"1229\"\u003e• 4 × 9th Gen NVENC (video encoding)\u003cbr data-start=\"1265\" data-end=\"1268\"\u003e• 4 × 6th Gen NVDEC (video decoding)\u003cbr data-start=\"1304\" data-end=\"1307\"\u003e• Supports AV1, H.265, 4:2:2 workflows for pro media pipelines \u003cspan class=\"\" data-state=\"closed\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp data-start=\"1411\" data-end=\"1566\"\u003e\u003cstrong data-start=\"1411\" data-end=\"1431\"\u003eDisplay \u0026amp; Output\u003c\/strong\u003e\u003cbr data-start=\"1431\" data-end=\"1434\"\u003e• 4 × DisplayPort 2.1\u003cbr data-start=\"1455\" data-end=\"1458\"\u003e• Supports ultra-high resolution multi-display setups (8K workflows) \u003cspan class=\"\" data-state=\"closed\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp data-start=\"1568\" data-end=\"1639\"\u003e\u003cstrong data-start=\"1568\" data-end=\"1581\"\u003eInterface\u003c\/strong\u003e\u003cbr data-start=\"1581\" data-end=\"1584\"\u003e• PCIe Gen5 support\u003cbr data-start=\"1603\" data-end=\"1606\"\u003e• Workstation-class add-in card\u003c\/p\u003e\n\u003cp data-start=\"1641\" data-end=\"1770\"\u003e\u003cstrong data-start=\"1641\" data-end=\"1662\"\u003ePower Consumption\u003c\/strong\u003e\u003cbr data-start=\"1662\" data-end=\"1665\"\u003e• Up to ~600W TDP \u003cspan class=\"\" data-state=\"closed\"\u003e\u003c\/span\u003e\u003cbr data-start=\"1720\" data-end=\"1723\"\u003e• Requires high-end workstation PSU + cooling\u003c\/p\u003e\n\u003cp data-start=\"1772\" data-end=\"1907\"\u003e\u003cstrong data-start=\"1772\" data-end=\"1787\"\u003eForm Factor\u003c\/strong\u003e\u003cbr data-start=\"1787\" data-end=\"1790\"\u003e• Dual-slot professional GPU\u003cbr data-start=\"1818\" data-end=\"1821\"\u003e• ~12-inch length (full-size workstation card) \u003cspan class=\"\" data-state=\"closed\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp data-start=\"1909\" data-end=\"2017\"\u003e\u003cstrong data-start=\"1909\" data-end=\"1927\"\u003eCooling Design\u003c\/strong\u003e\u003cbr data-start=\"1927\" data-end=\"1930\"\u003e• Double flow-through cooling system\u003cbr data-start=\"1966\" data-end=\"1969\"\u003e• Optimised for sustained enterprise workloads\u003c\/p\u003e\n\u003cp data-start=\"2019\" data-end=\"2192\"\u003e\u003cstrong data-start=\"2019\" data-end=\"2048\"\u003eDriver \u0026amp; Software Support\u003c\/strong\u003e\u003cbr data-start=\"2048\" data-end=\"2051\"\u003e• NVIDIA RTX Enterprise drivers\u003cbr data-start=\"2082\" data-end=\"2085\"\u003e• ISV-certified (Autodesk, SolidWorks, Adobe, etc.)\u003cbr data-start=\"2136\" data-end=\"2139\"\u003e• Supports CUDA, TensorRT, Omniverse, AI frameworks\u003c\/p\u003e","brand":"Nvidia","offers":[{"title":"Default Title","offer_id":51167246123172,"sku":"900-5G144-2500-000","price":21625.0,"currency_code":"SGD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0605\/0136\/0804\/files\/nvidia-rtx-pro-6000-blackwell-workstation-edition-900-5g144-2500-000-7881029.webp?v=1761645031"},{"product_id":"nvidia-rtx-pro™-6000-blackwell-max-q-workstation-edition-900-5g153-2500-000","title":"NVIDIA RTX PRO™ 6000 Blackwell Max-Q Workstation Edition","description":"\u003ch2\u003e\n\u003cstrong\u003eNVIDIA RTX PRO™ 6000 Blackwell Max-Q Workstation Edition 96 GB GDDR7 with ECC (900-5G153-2500-000) - 3 Years Local Warranty \u003c\/strong\u003e\n\u003c\/h2\u003e\n\u003ch3 data-start=\"310\" data-end=\"721\"\u003e\u003cstrong data-start=\"310\" data-end=\"361\"\u003eTop-Tier Professional Graphics for Workstations\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp data-start=\"310\" data-end=\"721\"\u003eThe \u003cstrong data-start=\"368\" data-end=\"428\"\u003eNVIDIA RTX PRO™ 6000 Blackwell Max-Q Workstation Edition\u003c\/strong\u003e delivers uncompromising performance for enterprise creative, engineering, and computational workflows. Designed for high-end workstations, this GPU accelerates 3D modelling, simulation, real-time rendering, AI-assisted design, and visualisation with consistent professionalism and efficiency.\u003c\/p\u003e\n\u003ch3 data-start=\"723\" data-end=\"1150\"\u003e\u003cstrong data-start=\"723\" data-end=\"762\"\u003eMassive 96 GB GDDR7 Memory with ECC\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp data-start=\"723\" data-end=\"1150\"\u003eFeaturing a \u003cstrong data-start=\"777\" data-end=\"799\"\u003e96 GB GDDR7 memory\u003c\/strong\u003e buffer with \u003cstrong data-start=\"812\" data-end=\"843\"\u003eError-Correcting Code (ECC)\u003c\/strong\u003e, this GPU offers exceptionally large memory capacity for ultra-complex models, massive datasets, and extensive VR\/AR environments. ECC ensures data integrity by detecting and correcting memory errors — a key advantage for mission-critical simulations, large-scale engineering, and scientific visualisation.\u003c\/p\u003e\n\u003ch3 data-start=\"1152\" data-end=\"1549\"\u003e\u003cstrong data-start=\"1152\" data-end=\"1193\"\u003eAdvanced Blackwell Max-Q Architecture\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp data-start=\"1152\" data-end=\"1549\"\u003ePowered by NVIDIA’s latest Blackwell architecture with Max-Q optimisation, the RTX PRO 6000 delivers high compute throughput with energy-efficient design. Enhanced ray-tracing cores, next-gen AI engines, and parallel compute units help professionals accelerate real-time graphics, AI workflows, and simulation tasks in demanding production environments.\u003c\/p\u003e\n\u003ch3 data-start=\"1551\" data-end=\"1924\"\u003e\u003cstrong data-start=\"1551\" data-end=\"1604\"\u003eOptimised and Certified for Professional Software\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp data-start=\"1551\" data-end=\"1924\"\u003eThis GPU is ISV-certified and optimised for top professional applications across CAD, CAE, DCC (digital content creation), simulation, and rendering — including tools from Autodesk, Adobe, Dassault Systèmes, Siemens, and more. Certified drivers ensure stable performance and dependable results in validated workflows.\u003c\/p\u003e\n\u003ch3 data-start=\"1926\" data-end=\"2291\"\u003e\u003cstrong data-start=\"1926\" data-end=\"1983\"\u003eEnterprise-Grade Stability and Long Lifecycle Support\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp data-start=\"1926\" data-end=\"2291\"\u003eEngineered for 24\/7 operation in studios, enterprise workstations, and rendering farms, the RTX PRO 6000 Blackwell Max-Q comes with enterprise-class drivers, stable firmware, and extended lifecycle support. Its robust design emphasises uptime, reliability, and consistent performance under continual load.\u003c\/p\u003e\n\u003ch3 data-start=\"2293\" data-end=\"2856\"\u003e\u003cstrong data-start=\"2293\" data-end=\"2342\"\u003eTechnical Specification (GTIN: 0192413889903)\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp data-start=\"174\" data-end=\"399\"\u003e\u003cstrong data-start=\"174\" data-end=\"190\"\u003eArchitecture\u003c\/strong\u003e\u003cbr data-start=\"190\" data-end=\"193\"\u003e• NVIDIA Blackwell architecture\u003cbr data-start=\"224\" data-end=\"227\"\u003e• Built for AI, HPC, rendering, and enterprise workloads\u003cbr data-start=\"283\" data-end=\"286\"\u003e• Same core architecture as full Workstation Edition, but power-optimised \u003cspan class=\"\" data-state=\"closed\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp data-start=\"401\" data-end=\"601\"\u003e\u003cstrong data-start=\"401\" data-end=\"423\"\u003eCUDA \u0026amp; Core Design\u003c\/strong\u003e\u003cbr data-start=\"423\" data-end=\"426\"\u003e• ~24,064 CUDA cores (same silicon class as full variant) \u003cspan class=\"\" data-state=\"closed\"\u003e\u003c\/span\u003e\u003cbr data-start=\"521\" data-end=\"524\"\u003e• 5th Gen Tensor Cores (AI acceleration)\u003cbr data-start=\"564\" data-end=\"567\"\u003e• 4th Gen RT Cores (ray tracing)\u003c\/p\u003e\n\u003cp data-start=\"603\" data-end=\"818\"\u003e\u003cstrong data-start=\"603\" data-end=\"621\"\u003eAI Performance\u003c\/strong\u003e\u003cbr data-start=\"621\" data-end=\"624\"\u003e• Up to ~4000 AI TOPS (Blackwell class) \u003cspan class=\"\" data-state=\"closed\"\u003e\u003c\/span\u003e\u003cbr data-start=\"701\" data-end=\"704\"\u003e• Designed for LLM training, inference, and generative AI workflows\u003cbr data-start=\"771\" data-end=\"774\"\u003e• Supports scaling up to multi-GPU systems\u003c\/p\u003e\n\u003cp data-start=\"820\" data-end=\"1043\"\u003e\u003cstrong data-start=\"820\" data-end=\"846\"\u003eMemory (Key Highlight)\u003c\/strong\u003e\u003cbr data-start=\"846\" data-end=\"849\"\u003e• 96GB GDDR7 VRAM with ECC\u003cbr data-start=\"875\" data-end=\"878\"\u003e• ~512-bit memory bus\u003cbr data-start=\"899\" data-end=\"902\"\u003e• ~1.8 TB\/s memory bandwidth \u003cspan class=\"\" data-state=\"closed\"\u003e\u003c\/span\u003e\u003cbr data-start=\"968\" data-end=\"971\"\u003e• Enables extremely large datasets, long-context LLMs, and simulations\u003c\/p\u003e\n\u003cp data-start=\"1045\" data-end=\"1307\"\u003e\u003cstrong data-start=\"1045\" data-end=\"1078\"\u003eMax-Q Design (Key Difference)\u003c\/strong\u003e\u003cbr data-start=\"1078\" data-end=\"1081\"\u003e• ~300W TDP (vs ~600W full workstation model) \u003cspan class=\"\" data-state=\"closed\"\u003e\u003c\/span\u003e\u003cbr data-start=\"1164\" data-end=\"1167\"\u003e• Dual-slot compact form factor\u003cbr data-start=\"1198\" data-end=\"1201\"\u003e• Blower-style cooling (better for dense systems)\u003cbr data-start=\"1250\" data-end=\"1253\"\u003e• Optimised for \u003cstrong data-start=\"1269\" data-end=\"1305\"\u003emulti-GPU scaling and efficiency\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp data-start=\"1309\" data-end=\"1524\"\u003e\u003cstrong data-start=\"1309\" data-end=\"1332\"\u003eCompute \u0026amp; Workloads\u003c\/strong\u003e\u003cbr data-start=\"1332\" data-end=\"1335\"\u003e• AI model training and inference\u003cbr data-start=\"1368\" data-end=\"1371\"\u003e• Data science \/ analytics pipelines\u003cbr data-start=\"1407\" data-end=\"1410\"\u003e• 3D rendering, VFX, CAD, digital twins\u003cbr data-start=\"1449\" data-end=\"1452\"\u003e• Scientific simulations and HPC \u003cspan class=\"\" data-state=\"closed\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp data-start=\"1526\" data-end=\"1640\"\u003e\u003cstrong data-start=\"1526\" data-end=\"1549\"\u003eEncoding \/ Decoding\u003c\/strong\u003e\u003cbr data-start=\"1549\" data-end=\"1552\"\u003e• Multi NVENC \/ NVDEC engines (pro video workflows)\u003cbr data-start=\"1603\" data-end=\"1606\"\u003e• AV1, HEVC, pro media pipelines\u003c\/p\u003e\n\u003cp data-start=\"1642\" data-end=\"1730\"\u003e\u003cstrong data-start=\"1642\" data-end=\"1662\"\u003eDisplay \u0026amp; Output\u003c\/strong\u003e\u003cbr data-start=\"1662\" data-end=\"1665\"\u003e• 4 × DisplayPort 2.1\u003cbr data-start=\"1686\" data-end=\"1689\"\u003e• Supports multi-4K \/ 8K display setups\u003c\/p\u003e\n\u003cp data-start=\"1732\" data-end=\"1798\"\u003e\u003cstrong data-start=\"1732\" data-end=\"1745\"\u003eInterface\u003c\/strong\u003e\u003cbr data-start=\"1745\" data-end=\"1748\"\u003e• PCIe Gen5 x16\u003cbr data-start=\"1763\" data-end=\"1766\"\u003e• Workstation-class add-in GPU\u003c\/p\u003e\n\u003cp data-start=\"1800\" data-end=\"1976\"\u003e\u003cstrong data-start=\"1800\" data-end=\"1820\"\u003eCooling \u0026amp; Design\u003c\/strong\u003e\u003cbr data-start=\"1820\" data-end=\"1823\"\u003e• Active blower cooling (enterprise airflow environments)\u003cbr data-start=\"1880\" data-end=\"1883\"\u003e• Smaller footprint vs full workstation GPU\u003cbr data-start=\"1926\" data-end=\"1929\"\u003e• Designed for rack\/workstation hybrid builds\u003c\/p\u003e\n\u003cp data-start=\"1978\" data-end=\"2139\"\u003e\u003cstrong data-start=\"1978\" data-end=\"1998\"\u003ePower Efficiency\u003c\/strong\u003e\u003cbr data-start=\"1998\" data-end=\"2001\"\u003e• ~50% lower power vs full version with ~10% performance drop \u003cspan class=\"\" data-state=\"closed\"\u003e\u003c\/span\u003e\u003cbr data-start=\"2100\" data-end=\"2103\"\u003e• Much better performance-per-watt\u003c\/p\u003e\n\u003cp data-start=\"2141\" data-end=\"2315\"\u003e\u003cstrong data-start=\"2141\" data-end=\"2170\"\u003eDriver \u0026amp; Software Support\u003c\/strong\u003e\u003cbr data-start=\"2170\" data-end=\"2173\"\u003e• NVIDIA RTX Enterprise drivers\u003cbr data-start=\"2204\" data-end=\"2207\"\u003e• ISV-certified (Autodesk, SolidWorks, Adobe, etc.)\u003cbr data-start=\"2258\" data-end=\"2261\"\u003e• CUDA, TensorRT, Omniverse, AI frameworks supported\u003c\/p\u003e","brand":"Nvidia","offers":[{"title":"Default Title","offer_id":51167248613540,"sku":"900-5G153-2500-000","price":21625.0,"currency_code":"SGD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0605\/0136\/0804\/files\/nvidia-rtx-pro-6000-blackwell-max-q-workstation-edition-900-5g153-2500-000-9593279.webp?v=1761645031"},{"product_id":"nvidia-rtx-pro™-5000-blackwell-generation-900-5g153-2550-000","title":"NVIDIA RTX PRO™ 5000 Blackwell Generation","description":"\u003ch2\u003e\n\u003cstrong\u003eNVIDIA RTX PRO™ 5000 Blackwell Generation 48 GB GDDR7 with ECC (900-5G153-2550-000) - 3 Years Local Warranty \u003c\/strong\u003e\n\u003c\/h2\u003e\n\u003ch3 data-start=\"214\" data-end=\"280\"\u003e\u003cstrong data-start=\"214\" data-end=\"278\"\u003eNext-Gen Workstation Performance with Blackwell Architecture\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp data-start=\"282\" data-end=\"662\"\u003eThe NVIDIA RTX PRO 5000 Blackwell Generation is built on NVIDIA’s latest Blackwell architecture, designed specifically for professional workloads such as AI development, simulation, and high-end rendering, delivering significantly higher compute efficiency, improved scheduling, and multi-workload handling compared to previous generations. \u003cspan class=\"\" data-state=\"closed\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003ch3 data-start=\"664\" data-end=\"728\"\u003e\u003cstrong data-start=\"664\" data-end=\"726\"\u003eMassive 48GB GDDR7 Memory with ECC for AI and Data Science\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp data-start=\"730\" data-end=\"1078\"\u003eEquipped with 48GB of ultra-fast GDDR7 memory with ECC, this GPU is optimized for memory-intensive workloads including large language models (LLMs), data analytics, and complex simulations, allowing professionals to process large datasets and models locally without relying on expensive cloud infrastructure. \u003cspan class=\"\" data-state=\"closed\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003ch3 data-start=\"1080\" data-end=\"1124\"\u003e\u003cstrong data-start=\"1080\" data-end=\"1122\"\u003eEnterprise AI and Compute Acceleration\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp data-start=\"1126\" data-end=\"1427\"\u003eDesigned for AI workflows, the RTX PRO 5000 accelerates model training, inference, and data pipelines using CUDA-X libraries such as RAPIDS, enabling faster experimentation, visualization, and deployment of AI applications directly on workstation-class systems. \u003cspan class=\"\" data-state=\"closed\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003ch3 data-start=\"1429\" data-end=\"1484\"\u003e\u003cstrong data-start=\"1429\" data-end=\"1482\"\u003eHigh Core Count and Bandwidth for Heavy Workloads\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp data-start=\"1486\" data-end=\"1823\"\u003eThe GPU features up to ~14,080 CUDA cores, PCIe 5.0 support, and memory bandwidth exceeding 1.3 TB\/s, providing the compute power needed for real-time ray tracing, simulation, engineering workloads, and multi-application environments, while maintaining a workstation-friendly ~300W power envelope. \u003cspan class=\"\" data-state=\"closed\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003ch3 data-start=\"1825\" data-end=\"1882\"\u003e\u003cstrong data-start=\"1825\" data-end=\"1880\"\u003eScalable and Future-Ready for Enterprise Deployment\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp data-start=\"1884\" data-end=\"2206\"\u003eWith support for advanced features like Multi-Instance GPU (MIG), NVENC\/NVDEC media engines, and multi-GPU scaling, the RTX PRO 5000 is suitable for enterprise deployment in AI labs, design studios, and engineering environments where scalability and workload isolation are critical.\u003c\/p\u003e\n\u003ch3 data-end=\"2415\" data-start=\"1872\"\u003e\n\u003cstrong data-end=\"1899\" data-start=\"1872\"\u003eTechnical Specification\u003c\/strong\u003e\u003cbr\u003e\n\u003c\/h3\u003e\n\u003cp data-end=\"324\" data-start=\"163\"\u003e\u003cstrong data-end=\"179\" data-start=\"163\"\u003eArchitecture\u003c\/strong\u003e\u003cbr data-end=\"182\" data-start=\"179\"\u003e• NVIDIA Blackwell architecture\u003cbr data-end=\"216\" data-start=\"213\"\u003e• Designed for AI, simulation, rendering, and professional workloads \u003cspan data-state=\"closed\" class=\"\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp data-end=\"489\" data-start=\"326\"\u003e\u003cstrong data-end=\"348\" data-start=\"326\"\u003eCUDA \u0026amp; Core Design\u003c\/strong\u003e\u003cbr data-end=\"351\" data-start=\"348\"\u003e• ~14,080 CUDA cores\u003cbr data-end=\"374\" data-start=\"371\"\u003e• 5th Gen Tensor Cores (AI acceleration)\u003cbr data-end=\"417\" data-start=\"414\"\u003e• 4th Gen RT Cores (ray tracing) \u003cspan data-state=\"closed\" class=\"\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp data-end=\"661\" data-start=\"491\"\u003e\u003cstrong data-end=\"509\" data-start=\"491\"\u003eAI Performance\u003c\/strong\u003e\u003cbr data-end=\"512\" data-start=\"509\"\u003e• ~2000+ AI TOPS class performance\u003cbr data-end=\"549\" data-start=\"546\"\u003e• Optimised for LLM inference, generative AI, and data science workloads \u003cspan data-state=\"closed\" class=\"\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp data-end=\"884\" data-start=\"663\"\u003e\u003cstrong data-end=\"689\" data-start=\"663\"\u003eMemory (Key Highlight)\u003c\/strong\u003e\u003cbr data-end=\"692\" data-start=\"689\"\u003e• 48GB GDDR7 VRAM with ECC\u003cbr data-end=\"721\" data-start=\"718\"\u003e• ~1,344 GB\/s memory bandwidth\u003cbr data-end=\"754\" data-start=\"751\"\u003e• 384-bit memory interface\u003cbr data-end=\"783\" data-start=\"780\"\u003e• Supports large AI models, datasets, and complex simulations \u003cspan data-state=\"closed\" class=\"\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp data-end=\"1093\" data-start=\"886\"\u003e\u003cstrong data-end=\"909\" data-start=\"886\"\u003eCompute \u0026amp; Workloads\u003c\/strong\u003e\u003cbr data-end=\"912\" data-start=\"909\"\u003e• AI training \u0026amp; inference\u003cbr data-end=\"940\" data-start=\"937\"\u003e• Data science \/ analytics pipelines\u003cbr data-end=\"979\" data-start=\"976\"\u003e• 3D rendering, VFX, CAD, BIM\u003cbr data-end=\"1011\" data-start=\"1008\"\u003e• Scientific simulations and digital twins \u003cspan data-state=\"closed\" class=\"\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp data-end=\"1262\" data-start=\"1095\"\u003e\u003cstrong data-end=\"1123\" data-start=\"1095\"\u003eMulti-Instance GPU (MIG)\u003c\/strong\u003e\u003cbr data-end=\"1126\" data-start=\"1123\"\u003e• Can partition GPU (e.g. 2 × 24GB workloads)\u003cbr data-end=\"1174\" data-start=\"1171\"\u003e• Ideal for shared environments \/ virtualization \u003cspan data-state=\"closed\" class=\"\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp data-end=\"1385\" data-start=\"1264\"\u003e\u003cstrong data-end=\"1284\" data-start=\"1264\"\u003eDisplay \u0026amp; Output\u003c\/strong\u003e\u003cbr data-end=\"1287\" data-start=\"1284\"\u003e• 4 × DisplayPort 2.1\u003cbr data-end=\"1311\" data-start=\"1308\"\u003e• Supports multi-4K \/ 8K workflows \u003cspan data-state=\"closed\" class=\"\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp data-end=\"1491\" data-start=\"1387\"\u003e\u003cstrong data-end=\"1400\" data-start=\"1387\"\u003eInterface\u003c\/strong\u003e\u003cbr data-end=\"1403\" data-start=\"1400\"\u003e• PCIe Gen5 x16\u003cbr data-end=\"1421\" data-start=\"1418\"\u003e• Workstation-class add-in GPU \u003cspan data-state=\"closed\" class=\"\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp data-end=\"1613\" data-start=\"1493\"\u003e\u003cstrong data-end=\"1514\" data-start=\"1493\"\u003ePower Consumption\u003c\/strong\u003e\u003cbr data-end=\"1517\" data-start=\"1514\"\u003e• ~300W TDP\u003cbr data-end=\"1531\" data-start=\"1528\"\u003e• Requires workstation-grade PSU \u0026amp; airflow \u003cspan data-state=\"closed\" class=\"\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp data-end=\"1776\" data-start=\"1615\"\u003e\u003cstrong data-end=\"1640\" data-start=\"1615\"\u003eForm Factor \u0026amp; Cooling\u003c\/strong\u003e\u003cbr data-end=\"1643\" data-start=\"1640\"\u003e• Dual-slot, full-height card\u003cbr data-end=\"1675\" data-start=\"1672\"\u003e• Blower-style active cooling (enterprise airflow friendly) \u003cspan data-state=\"closed\" class=\"\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp data-end=\"1934\" data-start=\"1778\"\u003e\u003cstrong data-end=\"1801\" data-start=\"1778\"\u003eEncoding \/ Decoding\u003c\/strong\u003e\u003cbr data-end=\"1804\" data-start=\"1801\"\u003e• 3 × 9th Gen NVENC\u003cbr data-end=\"1826\" data-start=\"1823\"\u003e• 3 × 6th Gen NVDEC\u003cbr data-end=\"1848\" data-start=\"1845\"\u003e• AV1 \/ HEVC support for pro media workflows \u003cspan data-state=\"closed\" class=\"\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp data-end=\"2094\" data-start=\"1936\"\u003e\u003cstrong data-end=\"1965\" data-start=\"1936\"\u003eDriver \u0026amp; Software Support\u003c\/strong\u003e\u003cbr data-end=\"1968\" data-start=\"1965\"\u003e• NVIDIA RTX Enterprise drivers\u003cbr data-end=\"2002\" data-start=\"1999\"\u003e• ISV-certified (Autodesk, SolidWorks, Adobe, etc.)\u003cbr data-end=\"2056\" data-start=\"2053\"\u003e• Supports CUDA, TensorRT, Omniverse\u003c\/p\u003e","brand":"Nvidia","offers":[{"title":"Default Title","offer_id":51167250415780,"sku":"900-5G153-2550-000","price":11280.0,"currency_code":"SGD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0605\/0136\/0804\/files\/nvidia-rtx-pro-5000-blackwell-generation-900-5g153-2550-000-7312271.webp?v=1761645030"},{"product_id":"nvidia-rtx-pro™-4500-blackwell-generation-900-5g147-2550-000","title":"NVIDIA RTX PRO™ 4500 Blackwell Generation","description":"\u003ch2\u003e\n\u003cstrong\u003eNVIDIA RTX PRO™ 4500 Blackwell Generation 32 GB GDDR7 with ECC (900-5G147-2550-000) - 3 Years Local Warranty \u003c\/strong\u003e\n\u003c\/h2\u003e\n\u003ch3 data-start=\"179\" data-end=\"666\"\u003e\u003cstrong data-start=\"179\" data-end=\"261\"\u003eNVIDIA RTX PRO 4500 Blackwell – Power for Creative and Technical Professionals\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp data-start=\"179\" data-end=\"666\"\u003eThe NVIDIA RTX PRO™ 4500 Blackwell Generation delivers exceptional professional graphics and AI computing power in a versatile, energy-efficient design. Ideal for architects, engineers, designers, and developers, it combines the strength of the Blackwell architecture with advanced GPU acceleration. This card ensures reliable, high-performance output for visualization, CAD, and AI-driven workflows.\u003c\/p\u003e\n\u003ch3 data-start=\"668\" data-end=\"1031\"\u003e\u003cstrong data-start=\"668\" data-end=\"712\"\u003ePowered by NVIDIA Blackwell Architecture\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp data-start=\"668\" data-end=\"1031\"\u003eBuilt on the latest Blackwell architecture, the RTX PRO 4500 brings faster ray tracing, enhanced tensor performance, and improved efficiency over previous generations. It’s optimized for real-time rendering, simulation, and deep learning applications, enabling users to work faster and smarter on complex projects.\u003c\/p\u003e\n\u003ch3 data-start=\"1033\" data-end=\"1384\"\u003e\u003cstrong data-start=\"1033\" data-end=\"1078\"\u003e24GB GDDR7 Memory for Smooth Multitasking\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp data-start=\"1033\" data-end=\"1384\"\u003eThe RTX PRO 4500 features 24GB of ultra-fast GDDR7 memory, ensuring smooth performance across large datasets, intricate 3D models, and demanding AI processes. Its high-bandwidth memory design allows seamless multitasking and supports multiple high-resolution displays without lag or performance drops.\u003c\/p\u003e\n\u003ch3 data-start=\"1386\" data-end=\"1767\"\u003e\u003cstrong data-start=\"1386\" data-end=\"1434\"\u003eReliable for Professional and Enterprise Use\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp data-start=\"1386\" data-end=\"1767\"\u003eEngineered for 24\/7 reliability, the RTX PRO 4500 supports ECC memory, ISV certifications, and professional-grade drivers for consistent stability across all major software platforms. It’s a dependable GPU choice for enterprises, creative studios, and research institutions requiring precision, longevity, and consistent output.\u003c\/p\u003e\n\u003ch3 data-start=\"1769\" data-end=\"2314\"\u003e\u003cstrong data-start=\"1769\" data-end=\"1796\"\u003eTechnical Specification\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp data-start=\"163\" data-end=\"345\"\u003e\u003cstrong data-start=\"163\" data-end=\"179\"\u003eArchitecture\u003c\/strong\u003e\u003cbr data-start=\"179\" data-end=\"182\"\u003e• NVIDIA Blackwell architecture (latest pro GPU platform) \u003cspan class=\"\" data-state=\"closed\"\u003e\u003c\/span\u003e\u003cbr data-start=\"277\" data-end=\"280\"\u003e• Built for AI, rendering, simulation, and enterprise workloads\u003c\/p\u003e\n\u003cp data-start=\"347\" data-end=\"604\"\u003e\u003cstrong data-start=\"347\" data-end=\"369\"\u003eCUDA \u0026amp; Core Design\u003c\/strong\u003e\u003cbr data-start=\"369\" data-end=\"372\"\u003e• ~10,496 CUDA cores (Blackwell class) \u003cspan class=\"\" data-state=\"closed\"\u003e\u003c\/span\u003e\u003cbr data-start=\"448\" data-end=\"451\"\u003e• 5th Gen Tensor Cores (AI acceleration) \u003cspan class=\"\" data-state=\"closed\"\u003e\u003c\/span\u003e\u003cbr data-start=\"529\" data-end=\"532\"\u003e• 4th Gen RT Cores (ray tracing) \u003cspan class=\"\" data-state=\"closed\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp data-start=\"606\" data-end=\"790\"\u003e\u003cstrong data-start=\"606\" data-end=\"624\"\u003eAI Performance\u003c\/strong\u003e\u003cbr data-start=\"624\" data-end=\"627\"\u003e• Strong AI acceleration for LLM inference, analytics, and automation\u003cbr data-start=\"696\" data-end=\"699\"\u003e• Supports CUDA-X ecosystem (RAPIDS, AI frameworks) \u003cspan class=\"\" data-state=\"closed\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp data-start=\"792\" data-end=\"969\"\u003e\u003cstrong data-start=\"792\" data-end=\"818\"\u003eMemory (Key Highlight)\u003c\/strong\u003e\u003cbr data-start=\"818\" data-end=\"821\"\u003e• 32GB GDDR7 VRAM with ECC \u003cspan class=\"\" data-state=\"closed\"\u003e\u003c\/span\u003e\u003cbr data-start=\"885\" data-end=\"888\"\u003e• ~896 GB\/s memory bandwidth \u003cspan class=\"\" data-state=\"closed\"\u003e\u003c\/span\u003e\u003cbr data-start=\"954\" data-end=\"957\"\u003e• Enables:\u003c\/p\u003e\n\u003cul data-start=\"972\" data-end=\"1053\"\u003e\n\u003cli data-section-id=\"1oywppt\" data-start=\"972\" data-end=\"998\"\u003eMedium-large AI models\u003c\/li\u003e\n\u003cli data-section-id=\"183khyh\" data-start=\"1001\" data-end=\"1021\"\u003eComplex datasets\u003c\/li\u003e\n\u003cli data-section-id=\"jpbbzj\" data-start=\"1024\" data-end=\"1053\"\u003eHigh-resolution rendering\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp data-start=\"1055\" data-end=\"1241\"\u003e\u003cstrong data-start=\"1055\" data-end=\"1078\"\u003eCompute \u0026amp; Workloads\u003c\/strong\u003e\u003cbr data-start=\"1078\" data-end=\"1081\"\u003e• Data science and AI model development\u003cbr data-start=\"1120\" data-end=\"1123\"\u003e• 3D rendering \/ VFX \/ CAD \/ BIM\u003cbr data-start=\"1155\" data-end=\"1158\"\u003e• Engineering simulations and digital twins \u003cspan class=\"\" data-state=\"closed\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp data-start=\"1243\" data-end=\"1424\"\u003e\u003cstrong data-start=\"1243\" data-end=\"1271\"\u003eMulti-Instance GPU (MIG)\u003c\/strong\u003e\u003cbr data-start=\"1271\" data-end=\"1274\"\u003e• Can partition GPU into smaller instances (e.g. 2 × 16GB) \u003cspan class=\"\" data-state=\"closed\"\u003e\u003c\/span\u003e\u003cbr data-start=\"1370\" data-end=\"1373\"\u003e• Useful for shared environments \/ virtualization\u003c\/p\u003e\n\u003cp data-start=\"1426\" data-end=\"1561\"\u003e\u003cstrong data-start=\"1426\" data-end=\"1446\"\u003eDisplay \u0026amp; Output\u003c\/strong\u003e\u003cbr data-start=\"1446\" data-end=\"1449\"\u003e• 4 × DisplayPort 2.1 \u003cspan class=\"\" data-state=\"closed\"\u003e\u003c\/span\u003e\u003cbr data-start=\"1510\" data-end=\"1513\"\u003e• Supports multi-4K \/ 8K professional displays\u003c\/p\u003e\n\u003cp data-start=\"1563\" data-end=\"1669\"\u003e\u003cstrong data-start=\"1563\" data-end=\"1576\"\u003eInterface\u003c\/strong\u003e\u003cbr data-start=\"1576\" data-end=\"1579\"\u003e• PCIe Gen5 x16 \u003cspan class=\"\" data-state=\"closed\"\u003e\u003c\/span\u003e\u003cbr data-start=\"1634\" data-end=\"1637\"\u003e• Workstation-class add-in GPU\u003c\/p\u003e\n\u003cp data-start=\"1671\" data-end=\"1814\"\u003e\u003cstrong data-start=\"1671\" data-end=\"1692\"\u003ePower Consumption\u003c\/strong\u003e\u003cbr data-start=\"1692\" data-end=\"1695\"\u003e• ~200W TDP (efficient tier) \u003cspan class=\"\" data-state=\"closed\"\u003e\u003c\/span\u003e\u003cbr data-start=\"1763\" data-end=\"1766\"\u003e• Much lower than higher-tier 5000\/6000 models\u003c\/p\u003e\n\u003cp data-start=\"1816\" data-end=\"1969\"\u003e\u003cstrong data-start=\"1816\" data-end=\"1841\"\u003eForm Factor \u0026amp; Cooling\u003c\/strong\u003e\u003cbr data-start=\"1841\" data-end=\"1844\"\u003e• Dual-slot, full-height GPU\u003cbr data-start=\"1872\" data-end=\"1875\"\u003e• Blower-style cooling (enterprise airflow friendly) \u003cspan class=\"\" data-state=\"closed\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp data-start=\"1971\" data-end=\"2123\"\u003e\u003cstrong data-start=\"1971\" data-end=\"1994\"\u003eEncoding \/ Decoding\u003c\/strong\u003e\u003cbr data-start=\"1994\" data-end=\"1997\"\u003e• 2 × 9th Gen NVENC\u003cbr data-start=\"2016\" data-end=\"2019\"\u003e• 2 × 6th Gen NVDEC \u003cspan class=\"\" data-state=\"closed\"\u003e\u003c\/span\u003e\u003cbr data-start=\"2078\" data-end=\"2081\"\u003e• AV1 \/ HEVC support for media workflows\u003c\/p\u003e\n\u003cp data-start=\"2125\" data-end=\"2283\"\u003e\u003cstrong data-start=\"2125\" data-end=\"2154\"\u003eDriver \u0026amp; Software Support\u003c\/strong\u003e\u003cbr data-start=\"2154\" data-end=\"2157\"\u003e• NVIDIA RTX Enterprise drivers\u003cbr data-start=\"2188\" data-end=\"2191\"\u003e• ISV-certified (Autodesk, SolidWorks, Adobe, etc.)\u003cbr data-start=\"2242\" data-end=\"2245\"\u003e• Supports CUDA, TensorRT, Omniverse\u003c\/p\u003e","brand":"Nvidia","offers":[{"title":"Default Title","offer_id":51167250972836,"sku":"900-5G147-2550-000","price":5980.0,"currency_code":"SGD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0605\/0136\/0804\/files\/nvidia-rtx-pro-4500-blackwell-generation-900-5g147-2550-000-1118980.webp?v=1761645030"},{"product_id":"nvidia-rtx-pro™-4000-blackwell-generation-900-5g147-2570-000","title":"NVIDIA RTX PRO™ 4000 Blackwell Generation","description":"\u003ch2\u003e\n\u003cstrong\u003eNVIDIA RTX PRO™ 4000 Blackwell Generation 24 GB GDDR7 with ECC (900-5G147-2570-000) - 3 Years Local Warranty \u003c\/strong\u003e\n\u003c\/h2\u003e\n\u003ch3 data-end=\"683\" data-start=\"299\"\u003e\u003cstrong data-end=\"347\" data-start=\"299\"\u003eProfessional-Grade Graphics for Workstations\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp data-end=\"683\" data-start=\"299\"\u003eThe \u003cstrong data-end=\"399\" data-start=\"354\"\u003eNVIDIA RTX PRO™ 4000 Blackwell Generation\u003c\/strong\u003e graphics card delivers powerful performance tailored for professional workflows. Whether you’re doing CAD design, 3D modelling, simulation, video production, or VR development, this GPU accelerates visual compute tasks with consistent, reliable throughput for demanding applications.\u003c\/p\u003e\n\u003ch3 data-end=\"1091\" data-start=\"685\"\u003e\u003cstrong data-end=\"722\" data-start=\"685\"\u003eAmple 24 GB GDDR7 Memory with ECC\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp data-end=\"1091\" data-start=\"685\"\u003eEquipped with \u003cstrong data-end=\"775\" data-start=\"739\"\u003e24 GB of high-speed GDDR7 memory\u003c\/strong\u003e and \u003cstrong data-end=\"811\" data-start=\"780\"\u003eError-Correcting Code (ECC)\u003c\/strong\u003e support, the RTX PRO 4000 handles large datasets, complex scenes, and memory-intensive workloads efficiently. ECC ensures data integrity by detecting and correcting errors in memory — a key benefit for engineering, simulation, and scientific visualisation where accuracy matters.\u003c\/p\u003e\n\u003ch3 data-end=\"1483\" data-start=\"1093\"\u003e\u003cstrong data-end=\"1135\" data-start=\"1093\"\u003eBuilt on NVIDIA Blackwell Architecture\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp data-end=\"1483\" data-start=\"1093\"\u003ePowered by NVIDIA’s advanced Blackwell GPU architecture, this professional card offers enhanced ray-tracing throughput, AI acceleration, and parallel compute performance. It boosts performance across real-time rendering, AI-assisted workflows, and high-resolution visualisation tasks, helping creative and technical professionals iterate faster.\u003c\/p\u003e\n\u003ch3 data-end=\"1839\" data-start=\"1485\"\u003e\u003cstrong data-end=\"1547\" data-start=\"1485\"\u003eOptimised with Professional Drivers and ISV Certifications\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp data-end=\"1839\" data-start=\"1485\"\u003eThe RTX PRO 4000 is backed by certified drivers and support for leading professional applications from vendors like Autodesk, Adobe, Dassault Systèmes, Siemens, and more. ISV certification ensures stable, validated performance in software used for CAD, CAE, DCC, and engineering workloads.\u003c\/p\u003e\n\u003ch3 data-end=\"2165\" data-start=\"1841\"\u003e\u003cstrong data-end=\"1885\" data-start=\"1841\"\u003eEnterprise-Level Reliability and Support\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp data-end=\"2165\" data-start=\"1841\"\u003eBuilt for extended use in corporate and studio environments, this professional GPU offers long-term driver support, enhanced system stability, and robust error handling. It’s engineered for 24\/7 operation in workstations where uptime, performance, and reliability are critical.\u003c\/p\u003e\n\u003ch3 data-end=\"2658\" data-start=\"2167\"\u003e\u003cstrong data-end=\"2216\" data-start=\"2167\"\u003eTechnical Specification (GTIN: 0192413854702)\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp data-end=\"319\" data-start=\"163\"\u003e\u003cstrong data-end=\"179\" data-start=\"163\"\u003eArchitecture\u003c\/strong\u003e\u003cbr data-end=\"182\" data-start=\"179\"\u003e• NVIDIA Blackwell architecture\u003cbr data-end=\"216\" data-start=\"213\"\u003e• Built for AI, rendering, simulation, and enterprise workflows \u003cspan data-state=\"closed\" class=\"\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp data-end=\"559\" data-start=\"321\"\u003e\u003cstrong data-end=\"343\" data-start=\"321\"\u003eCUDA \u0026amp; Core Design\u003c\/strong\u003e\u003cbr data-end=\"346\" data-start=\"343\"\u003e• ~8,960 CUDA cores \u003cspan data-state=\"closed\" class=\"\"\u003e\u003c\/span\u003e\u003cbr data-end=\"406\" data-start=\"403\"\u003e• 5th Gen Tensor Cores (AI acceleration) \u003cspan data-state=\"closed\" class=\"\"\u003e\u003c\/span\u003e\u003cbr data-end=\"487\" data-start=\"484\"\u003e• 4th Gen RT Cores (ray tracing) \u003cspan data-state=\"closed\" class=\"\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp data-end=\"786\" data-start=\"561\"\u003e\u003cstrong data-end=\"579\" data-start=\"561\"\u003eAI Performance\u003c\/strong\u003e\u003cbr data-end=\"582\" data-start=\"579\"\u003e• ~1,200+ AI TOPS class (FP4) \u003cspan data-state=\"closed\" class=\"\"\u003e\u003c\/span\u003e\u003cbr data-end=\"652\" data-start=\"649\"\u003e• Designed for LLM inference, generative AI, and automation workflows\u003cbr data-end=\"724\" data-start=\"721\"\u003e• Supports CUDA-X ecosystem (AI frameworks, analytics tools)\u003c\/p\u003e\n\u003cp data-end=\"1109\" data-start=\"788\"\u003e\u003cstrong data-end=\"814\" data-start=\"788\"\u003eMemory (Key Highlight)\u003c\/strong\u003e\u003cbr data-end=\"817\" data-start=\"814\"\u003e• 24GB GDDR7 VRAM with ECC \u003cspan data-state=\"closed\" class=\"\"\u003e\u003c\/span\u003e\u003cbr data-end=\"884\" data-start=\"881\"\u003e• 192-bit memory interface \u003cspan data-state=\"closed\" class=\"\"\u003e\u003c\/span\u003e\u003cbr data-end=\"951\" data-start=\"948\"\u003e• ~672 GB\/s memory bandwidth \u003cspan data-state=\"closed\" class=\"\"\u003e\u003c\/span\u003e\u003cbr data-end=\"1020\" data-start=\"1017\"\u003e• ECC ensures high reliability for long workloads \u003cspan data-state=\"closed\" class=\"\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp data-end=\"1314\" data-start=\"1111\"\u003e\u003cstrong data-end=\"1134\" data-start=\"1111\"\u003eCompute \u0026amp; Workloads\u003c\/strong\u003e\u003cbr data-end=\"1137\" data-start=\"1134\"\u003e• AI inference \/ entry model training\u003cbr data-end=\"1177\" data-start=\"1174\"\u003e• 3D rendering, CAD, BIM\u003cbr data-end=\"1204\" data-start=\"1201\"\u003e• Data analytics and simulation\u003cbr data-end=\"1238\" data-start=\"1235\"\u003e• Multi-app professional workflows \u003cspan data-state=\"closed\" class=\"\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp data-end=\"1438\" data-start=\"1316\"\u003e\u003cstrong data-end=\"1336\" data-start=\"1316\"\u003eDisplay \u0026amp; Output\u003c\/strong\u003e\u003cbr data-end=\"1339\" data-start=\"1336\"\u003e• 4 × DisplayPort 2.1 \u003cspan data-state=\"closed\" class=\"\"\u003e\u003c\/span\u003e\u003cbr data-end=\"1403\" data-start=\"1400\"\u003e• Supports multi-4K \/ 8K displays\u003c\/p\u003e\n\u003cp data-end=\"1539\" data-start=\"1440\"\u003e\u003cstrong data-end=\"1453\" data-start=\"1440\"\u003eInterface\u003c\/strong\u003e\u003cbr data-end=\"1456\" data-start=\"1453\"\u003e• PCIe Gen5 x16 \u003cspan data-state=\"closed\" class=\"\"\u003e\u003c\/span\u003e\u003cbr data-end=\"1514\" data-start=\"1511\"\u003e• Workstation-class GPU\u003c\/p\u003e\n\u003cp data-end=\"1640\" data-start=\"1541\"\u003e\u003cstrong data-end=\"1562\" data-start=\"1541\"\u003ePower Consumption\u003c\/strong\u003e\u003cbr data-end=\"1565\" data-start=\"1562\"\u003e• ~140W TDP (very efficient tier) \u003cspan data-state=\"closed\" class=\"\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp data-end=\"1807\" data-start=\"1642\"\u003e\u003cstrong data-end=\"1667\" data-start=\"1642\"\u003eForm Factor \u0026amp; Cooling\u003c\/strong\u003e\u003cbr data-end=\"1670\" data-start=\"1667\"\u003e• Single-slot, full-height design \u003cspan data-state=\"closed\" class=\"\"\u003e\u003c\/span\u003e\u003cbr data-end=\"1746\" data-start=\"1743\"\u003e• Blower-style cooling (ideal for dense workstation builds)\u003c\/p\u003e\n\u003cp data-end=\"1941\" data-start=\"1809\"\u003e\u003cstrong data-end=\"1832\" data-start=\"1809\"\u003eEncoding \/ Decoding\u003c\/strong\u003e\u003cbr data-end=\"1835\" data-start=\"1832\"\u003e• 2 × 9th Gen NVENC\u003cbr data-end=\"1857\" data-start=\"1854\"\u003e• 2 × 6th Gen NVDEC \u003cspan data-state=\"closed\" class=\"\"\u003e\u003c\/span\u003e\u003cbr data-end=\"1919\" data-start=\"1916\"\u003e• AV1 \/ HEVC support\u003c\/p\u003e\n\u003cp data-end=\"2101\" data-start=\"1943\"\u003e\u003cstrong data-end=\"1972\" data-start=\"1943\"\u003eDriver \u0026amp; Software Support\u003c\/strong\u003e\u003cbr data-end=\"1975\" data-start=\"1972\"\u003e• NVIDIA RTX Enterprise drivers\u003cbr data-end=\"2009\" data-start=\"2006\"\u003e• ISV-certified (Autodesk, SolidWorks, Adobe, etc.)\u003cbr data-end=\"2063\" data-start=\"2060\"\u003e• Supports CUDA, TensorRT, Omniverse\u003c\/p\u003e","brand":"Nvidia","offers":[{"title":"Default Title","offer_id":51167251333284,"sku":"900-5G147-2570-000","price":3865.0,"currency_code":"SGD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0605\/0136\/0804\/files\/nvidia-rtx-pro-4000-blackwell-generation-900-5g147-2570-000-2504044.webp?v=1761645029"},{"product_id":"nvidia-rtx-pro™-4000-blackwell-generation-sff-edition-900-5g195-2501-000","title":"NVIDIA RTX PRO™ 4000 Blackwell Generation SFF Edition","description":"\u003ch2\u003e\n\u003cstrong\u003eNVIDIA RTX PRO™ 4000 Blackwell Generation SFF Edition (900-5G195-2501-000) - Local Warranty \u003c\/strong\u003e\n\u003c\/h2\u003e\n\u003ch3 data-end=\"681\" data-start=\"285\"\u003e\u003cstrong data-end=\"333\" data-start=\"285\"\u003eProfessional Graphics in a Small Form Factor\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp data-end=\"681\" data-start=\"285\"\u003eThe \u003cstrong data-end=\"397\" data-start=\"340\"\u003eNVIDIA RTX PRO™ 4000 Blackwell Generation SFF Edition\u003c\/strong\u003e is engineered for compact workstations that demand professional-grade graphics performance without sacrificing chassis size. Its small form factor (SFF) makes it ideal for space-constrained corporate desktops, CAD workstations, and office systems that need reliable GPU acceleration.\u003c\/p\u003e\n\u003ch3 data-end=\"1069\" data-start=\"683\"\u003e\u003cstrong data-end=\"738\" data-start=\"683\"\u003eBlackwell GPU Architecture for Advanced Performance\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp data-end=\"1069\" data-start=\"683\"\u003eBuilt on NVIDIA’s next-gen Blackwell architecture, the RTX PRO 4000 delivers enhanced ray tracing, AI acceleration, and parallel compute efficiency. It accelerates workloads across 3D rendering, simulation, visualisation, and generative graphics tasks, helping professionals achieve faster iteration and higher fidelity results.\u003c\/p\u003e\n\u003ch3 data-end=\"1439\" data-start=\"1071\"\u003e\u003cstrong data-end=\"1114\" data-start=\"1071\"\u003eOptimised for Professional Applications\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp data-end=\"1439\" data-start=\"1071\"\u003eThis GPU is tuned and certified for major professional software across CAD, DCC (digital content creation), CAE, and VR workflows. With driver optimisation and ISV certifications from vendors such as Autodesk, Dassault, Adobe, and Siemens, you get dependable performance and compatibility in mission-critical environments.\u003c\/p\u003e\n\u003ch3 data-end=\"1769\" data-start=\"1441\"\u003e\u003cstrong data-end=\"1489\" data-start=\"1441\"\u003eEnterprise-Grade Stability and Manageability\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp data-end=\"1769\" data-start=\"1441\"\u003eThe RTX PRO 4000 is designed for 24\/7 professional use with long-lifecycle driver support and enterprise-level reliability. Error-resilient features and professional-class firmware help ensure stable operation in corporate systems, design studios, and distributed workstations.\u003c\/p\u003e\n\u003ch3 data-end=\"2115\" data-start=\"1771\"\u003e\u003cstrong data-end=\"1804\" data-start=\"1771\"\u003eSmall Form Factor, Big Impact\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp data-end=\"2115\" data-start=\"1771\"\u003eDespite its compact design, this GPU delivers efficient thermal performance and substantial compute throughput for complex visual computing. It fits easily into small chassis and SFF-compatible systems, enabling powerful graphics acceleration in office form factors traditionally limited by size constraints.\u003c\/p\u003e\n\u003ch3 data-end=\"2574\" data-start=\"2117\"\u003e\u003cstrong data-end=\"2166\" data-start=\"2117\"\u003eTechnical Specification (GTIN: 0192413916023)\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp data-start=\"160\" data-end=\"324\"\u003e\u003cstrong data-start=\"160\" data-end=\"176\"\u003eArchitecture\u003c\/strong\u003e\u003cbr data-start=\"176\" data-end=\"179\"\u003e• NVIDIA Blackwell architecture\u003cbr data-start=\"210\" data-end=\"213\"\u003e• Designed for compact AI workstations, CAD, and enterprise deployments \u003cspan class=\"\" data-state=\"closed\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp data-start=\"326\" data-end=\"488\"\u003e\u003cstrong data-start=\"326\" data-end=\"348\"\u003eCUDA \u0026amp; Core Design\u003c\/strong\u003e\u003cbr data-start=\"348\" data-end=\"351\"\u003e• ~8,960 CUDA cores\u003cbr data-start=\"370\" data-end=\"373\"\u003e• 5th Gen Tensor Cores (AI acceleration)\u003cbr data-start=\"413\" data-end=\"416\"\u003e• 4th Gen RT Cores (ray tracing) \u003cspan class=\"\" data-state=\"closed\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp data-start=\"490\" data-end=\"689\"\u003e\u003cstrong data-start=\"490\" data-end=\"508\"\u003eAI Performance\u003c\/strong\u003e\u003cbr data-start=\"508\" data-end=\"511\"\u003e• ~770 AI TOPS (FP4 class) \u003cspan class=\"\" data-state=\"closed\"\u003e\u003c\/span\u003e\u003cbr data-start=\"575\" data-end=\"578\"\u003e• Optimised for LLM inference, automation, and edge AI\u003cbr data-start=\"632\" data-end=\"635\"\u003e• Strong uplift vs previous RTX A4000 SFF generation\u003c\/p\u003e\n\u003cp data-start=\"691\" data-end=\"889\"\u003e\u003cstrong data-start=\"691\" data-end=\"717\"\u003eMemory (Key Highlight)\u003c\/strong\u003e\u003cbr data-start=\"717\" data-end=\"720\"\u003e• 24GB GDDR7 VRAM with ECC\u003cbr data-start=\"746\" data-end=\"749\"\u003e• ~432 GB\/s memory bandwidth \u003cspan class=\"\" data-state=\"closed\"\u003e\u003c\/span\u003e\u003cbr data-start=\"815\" data-end=\"818\"\u003e• Supports large datasets, CAD assemblies, and AI inference workloads\u003c\/p\u003e\n\u003cp data-start=\"891\" data-end=\"1094\"\u003e\u003cstrong data-start=\"891\" data-end=\"914\"\u003eCompute \u0026amp; Workloads\u003c\/strong\u003e\u003cbr data-start=\"914\" data-end=\"917\"\u003e• AI inference \/ edge AI systems\u003cbr data-start=\"949\" data-end=\"952\"\u003e• CAD \/ BIM \/ simulation\u003cbr data-start=\"976\" data-end=\"979\"\u003e• Media production \/ real-time editing\u003cbr data-start=\"1017\" data-end=\"1020\"\u003e• Multi-app professional workflows \u003cspan class=\"\" data-state=\"closed\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp data-start=\"1096\" data-end=\"1322\"\u003e\u003cstrong data-start=\"1096\" data-end=\"1132\"\u003eForm Factor (Key Differentiator)\u003c\/strong\u003e\u003cbr data-start=\"1132\" data-end=\"1135\"\u003e• Small Form Factor (SFF), low-profile design\u003cbr data-start=\"1180\" data-end=\"1183\"\u003e• ~2.7” height × ~6.6” length \u003cspan class=\"\" data-state=\"closed\"\u003e\u003c\/span\u003e\u003cbr data-start=\"1250\" data-end=\"1253\"\u003e• Fits compact desktops, edge systems, and dense workstation builds\u003c\/p\u003e\n\u003cp data-start=\"1324\" data-end=\"1449\"\u003e\u003cstrong data-start=\"1324\" data-end=\"1362\"\u003ePower Efficiency (Major Advantage)\u003c\/strong\u003e\u003cbr data-start=\"1362\" data-end=\"1365\"\u003e• ~70W TDP \u003cspan class=\"\" data-state=\"closed\"\u003e\u003c\/span\u003e\u003cbr data-start=\"1413\" data-end=\"1416\"\u003e• Extremely power efficient vs:\u003c\/p\u003e\n\u003cul data-start=\"1452\" data-end=\"1571\"\u003e\n\u003cli data-section-id=\"riuuvt\" data-start=\"1452\" data-end=\"1485\"\u003eRTX PRO 4000 standard (~140W)\u003c\/li\u003e\n\u003cli data-section-id=\"1wy6vk3\" data-start=\"1488\" data-end=\"1571\"\u003eRTX PRO 4500 (~200W)\u003cbr data-start=\"1510\" data-end=\"1513\"\u003e• Ideal for low-power environments and multi-GPU density\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp data-start=\"1573\" data-end=\"1680\"\u003e\u003cstrong data-start=\"1573\" data-end=\"1591\"\u003eCooling Design\u003c\/strong\u003e\u003cbr data-start=\"1591\" data-end=\"1594\"\u003e• Active blower cooling\u003cbr data-start=\"1617\" data-end=\"1620\"\u003e• Optimised for tight airflow systems and rack deployments\u003c\/p\u003e\n\u003cp data-start=\"1682\" data-end=\"1775\"\u003e\u003cstrong data-start=\"1682\" data-end=\"1695\"\u003eInterface\u003c\/strong\u003e\u003cbr data-start=\"1695\" data-end=\"1698\"\u003e• PCIe Gen5 x8\/x16 (config dependent) \u003cspan class=\"\" data-state=\"closed\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp data-start=\"1777\" data-end=\"1904\"\u003e\u003cstrong data-start=\"1777\" data-end=\"1797\"\u003eDisplay \u0026amp; Output\u003c\/strong\u003e\u003cbr data-start=\"1797\" data-end=\"1800\"\u003e• 4 × DisplayPort 2.1b \u003cspan class=\"\" data-state=\"closed\"\u003e\u003c\/span\u003e\u003cbr data-start=\"1860\" data-end=\"1863\"\u003e• Supports multi-4K \/ 8K display setups\u003c\/p\u003e\n\u003cp data-start=\"1906\" data-end=\"2062\"\u003e\u003cstrong data-start=\"1906\" data-end=\"1929\"\u003eEncoding \/ Decoding\u003c\/strong\u003e\u003cbr data-start=\"1929\" data-end=\"1932\"\u003e• 2 × 9th Gen NVENC\u003cbr data-start=\"1951\" data-end=\"1954\"\u003e• 2 × 6th Gen NVDEC \u003cspan class=\"\" data-state=\"closed\"\u003e\u003c\/span\u003e\u003cbr data-start=\"2013\" data-end=\"2016\"\u003e• AV1 \/ HEVC support for pro media workflows\u003c\/p\u003e\n\u003cp data-start=\"2064\" data-end=\"2222\"\u003e\u003cstrong data-start=\"2064\" data-end=\"2093\"\u003eDriver \u0026amp; Software Support\u003c\/strong\u003e\u003cbr data-start=\"2093\" data-end=\"2096\"\u003e• NVIDIA RTX Enterprise drivers\u003cbr data-start=\"2127\" data-end=\"2130\"\u003e• ISV-certified (Autodesk, SolidWorks, Adobe, etc.)\u003cbr data-start=\"2181\" data-end=\"2184\"\u003e• Supports CUDA, TensorRT, Omniverse\u003c\/p\u003e","brand":"Nvidia","offers":[{"title":"Default Title","offer_id":51167259623588,"sku":"900-5G195-2501-000","price":3865.0,"currency_code":"SGD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0605\/0136\/0804\/files\/nvidia-rtx-pro-4000-blackwell-generation-sff-edition-900-5g195-2501-000-8572969.webp?v=1761645032"},{"product_id":"nvidia-rtx-pro™-2000-blackwell-generation-900-5g195-2551-000","title":"NVIDIA RTX PRO™ 2000 Blackwell Generation","description":"\u003ch2\u003e\n\u003cstrong\u003eNVIDIA RTX PRO™ 2000 Blackwell Generation 16 GB GDDR7 with ECC (900-5G195-2551-000) - 3 Years Local Warranty \u003c\/strong\u003e\n\u003c\/h2\u003e\n\u003ch3 data-start=\"288\" data-end=\"656\"\u003e\u003cstrong data-start=\"288\" data-end=\"340\"\u003eEfficient Professional Graphics for Workstations\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp data-start=\"288\" data-end=\"656\"\u003eThe \u003cstrong data-start=\"347\" data-end=\"392\"\u003eNVIDIA RTX PRO™ 2000 Blackwell Generation\u003c\/strong\u003e graphics card delivers dependable performance for professional workflows where reliability and precision matter. Engineered for workstations running CAD, DCC, VR, simulation, and design software, it balances power and efficiency with enterprise-grade performance.\u003c\/p\u003e\n\u003ch3 data-start=\"658\" data-end=\"1055\"\u003e\u003cstrong data-start=\"658\" data-end=\"708\"\u003e16 GB GDDR7 Memory with ECC for Data Integrity\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp data-start=\"658\" data-end=\"1055\"\u003eFeaturing \u003cstrong data-start=\"721\" data-end=\"757\"\u003e16 GB of high-speed GDDR7 memory\u003c\/strong\u003e with \u003cstrong data-start=\"763\" data-end=\"794\"\u003eError-Correcting Code (ECC)\u003c\/strong\u003e, this GPU offers a solid memory footprint for moderate-to-complex graphics and compute tasks. ECC helps detect and correct memory errors on the fly, ensuring data integrity for engineering models, simulations, and detailed visualisation where accuracy matters.\u003c\/p\u003e\n\u003ch3 data-start=\"1057\" data-end=\"1436\"\u003e\u003cstrong data-start=\"1057\" data-end=\"1099\"\u003eBuilt on NVIDIA Blackwell Architecture\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp data-start=\"1057\" data-end=\"1436\"\u003ePowered by the next-generation \u003cstrong data-start=\"1133\" data-end=\"1163\"\u003eBlackwell GPU architecture\u003c\/strong\u003e, the RTX PRO 2000 delivers improved ray-tracing performance, enhanced AI acceleration, and efficient parallel compute. This architecture boosts productivity in visual compute tasks, making it well-suited for engineering, graphics design, and real-time rendering workflows.\u003c\/p\u003e\n\u003ch3 data-start=\"1438\" data-end=\"1785\"\u003e\u003cstrong data-start=\"1438\" data-end=\"1481\"\u003eCertified for Professional Applications\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp data-start=\"1438\" data-end=\"1785\"\u003eThe RTX PRO 2000 is optimised and certified for major professional applications such as Autodesk, Dassault Systèmes, Adobe, Siemens, and more. ISV (independent software vendor) certifications ensure reliable performance and validated workflow support across CAD, CAE, DCC, and simulation environments.\u003c\/p\u003e\n\u003ch3 data-start=\"1787\" data-end=\"2114\"\u003e\u003cstrong data-start=\"1787\" data-end=\"1829\"\u003eEnterprise-Grade Stability and Support\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp data-start=\"1787\" data-end=\"2114\"\u003eDesigned with long-term reliability in mind, this GPU includes professional-class drivers and extended lifecycle support. It’s built for daily use in corporate workstations, design studios, and engineering labs where uptime, stability, and error-resilient performance are essential.\u003c\/p\u003e\n\u003ch3 data-start=\"2116\" data-end=\"2615\"\u003e\u003cstrong data-start=\"2116\" data-end=\"2165\"\u003eTechnical Specification (GTIN: 0192413918103)\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp data-start=\"163\" data-end=\"322\"\u003e\u003cstrong data-start=\"163\" data-end=\"179\"\u003eArchitecture\u003c\/strong\u003e\u003cbr data-start=\"179\" data-end=\"182\"\u003e• NVIDIA Blackwell architecture\u003cbr data-start=\"213\" data-end=\"216\"\u003e• Designed for AI, professional graphics, and enterprise workloads \u003cspan class=\"\" data-state=\"closed\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp data-start=\"324\" data-end=\"561\"\u003e\u003cstrong data-start=\"324\" data-end=\"346\"\u003eCUDA \u0026amp; Core Design\u003c\/strong\u003e\u003cbr data-start=\"346\" data-end=\"349\"\u003e• 4,352 CUDA cores \u003cspan class=\"\" data-state=\"closed\"\u003e\u003c\/span\u003e\u003cbr data-start=\"405\" data-end=\"408\"\u003e• 5th Gen Tensor Cores (AI acceleration) \u003cspan class=\"\" data-state=\"closed\"\u003e\u003c\/span\u003e\u003cbr data-start=\"486\" data-end=\"489\"\u003e• 4th Gen RT Cores (ray tracing) \u003cspan class=\"\" data-state=\"closed\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp data-start=\"563\" data-end=\"802\"\u003e\u003cstrong data-start=\"563\" data-end=\"581\"\u003eAI Performance\u003c\/strong\u003e\u003cbr data-start=\"581\" data-end=\"584\"\u003e• ~545 AI TOPS (FP4 class) \u003cspan class=\"\" data-state=\"closed\"\u003e\u003c\/span\u003e\u003cbr data-start=\"648\" data-end=\"651\"\u003e• Optimised for LLM inference, generative AI, and automation\u003cbr data-start=\"711\" data-end=\"714\"\u003e• Strong uplift vs previous RTX A2000 generation \u003cspan class=\"\" data-state=\"closed\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp data-start=\"804\" data-end=\"1088\"\u003e\u003cstrong data-start=\"804\" data-end=\"830\"\u003eMemory (Key Highlight)\u003c\/strong\u003e\u003cbr data-start=\"830\" data-end=\"833\"\u003e• 16GB GDDR7 VRAM with ECC \u003cspan class=\"\" data-state=\"closed\"\u003e\u003c\/span\u003e\u003cbr data-start=\"897\" data-end=\"900\"\u003e• 128-bit memory interface \u003cspan class=\"\" data-state=\"closed\"\u003e\u003c\/span\u003e\u003cbr data-start=\"964\" data-end=\"967\"\u003e• ~288 GB\/s memory bandwidth \u003cspan class=\"\" data-state=\"closed\"\u003e\u003c\/span\u003e\u003cbr data-start=\"1033\" data-end=\"1036\"\u003e• ECC ensures stability for long-running workloads\u003c\/p\u003e\n\u003cp data-start=\"1090\" data-end=\"1322\"\u003e\u003cstrong data-start=\"1090\" data-end=\"1113\"\u003eCompute \u0026amp; Workloads\u003c\/strong\u003e\u003cbr data-start=\"1113\" data-end=\"1116\"\u003e• AI inference \/ entry-level model training\u003cbr data-start=\"1159\" data-end=\"1162\"\u003e• CAD \/ BIM \/ engineering workflows\u003cbr data-start=\"1197\" data-end=\"1200\"\u003e• 3D rendering and content creation\u003cbr data-start=\"1235\" data-end=\"1238\"\u003e• Multi-application professional workloads \u003cspan class=\"\" data-state=\"closed\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp data-start=\"1324\" data-end=\"1451\"\u003e\u003cstrong data-start=\"1324\" data-end=\"1344\"\u003eDisplay \u0026amp; Output\u003c\/strong\u003e\u003cbr data-start=\"1344\" data-end=\"1347\"\u003e• 4 × Mini DisplayPort 2.1 \u003cspan class=\"\" data-state=\"closed\"\u003e\u003c\/span\u003e\u003cbr data-start=\"1413\" data-end=\"1416\"\u003e• Supports multi-4K \/ 8K displays\u003c\/p\u003e\n\u003cp data-start=\"1453\" data-end=\"1551\"\u003e\u003cstrong data-start=\"1453\" data-end=\"1466\"\u003eInterface\u003c\/strong\u003e\u003cbr data-start=\"1466\" data-end=\"1469\"\u003e• PCIe Gen5 x8 \u003cspan class=\"\" data-state=\"closed\"\u003e\u003c\/span\u003e\u003cbr data-start=\"1523\" data-end=\"1526\"\u003e• Workstation-class GPU\u003c\/p\u003e\n\u003cp data-start=\"1553\" data-end=\"1720\"\u003e\u003cstrong data-start=\"1553\" data-end=\"1592\"\u003ePower Consumption (Major Advantage)\u003c\/strong\u003e\u003cbr data-start=\"1592\" data-end=\"1595\"\u003e• ~70W TDP \u003cspan class=\"\" data-state=\"closed\"\u003e\u003c\/span\u003e\u003cbr data-start=\"1645\" data-end=\"1648\"\u003e• Extremely efficient vs higher-tier GPUs\u003cbr data-start=\"1689\" data-end=\"1692\"\u003e• No heavy PSU requirement\u003c\/p\u003e\n\u003cp data-start=\"1722\" data-end=\"1900\"\u003e\u003cstrong data-start=\"1722\" data-end=\"1747\"\u003eForm Factor \u0026amp; Cooling\u003c\/strong\u003e\u003cbr data-start=\"1747\" data-end=\"1750\"\u003e• Compact dual-slot design\u003cbr data-start=\"1776\" data-end=\"1779\"\u003e• Blower-style active cooling \u003cspan class=\"\" data-state=\"closed\"\u003e\u003c\/span\u003e\u003cbr data-start=\"1848\" data-end=\"1851\"\u003e• Suitable for SFF and dense workstation builds\u003c\/p\u003e\n\u003cp data-start=\"1902\" data-end=\"2074\"\u003e\u003cstrong data-start=\"1902\" data-end=\"1925\"\u003eEncoding \/ Decoding\u003c\/strong\u003e\u003cbr data-start=\"1925\" data-end=\"1928\"\u003e• 1 × 9th Gen NVENC \u003cspan class=\"\" data-state=\"closed\"\u003e\u003c\/span\u003e\u003cbr data-start=\"1987\" data-end=\"1990\"\u003e• 1 × 6th Gen NVDEC \u003cspan class=\"\" data-state=\"closed\"\u003e\u003c\/span\u003e\u003cbr data-start=\"2049\" data-end=\"2052\"\u003e• AV1 \/ HEVC support\u003c\/p\u003e\n\u003cp data-start=\"2076\" data-end=\"2234\"\u003e\u003cstrong data-start=\"2076\" data-end=\"2105\"\u003eDriver \u0026amp; Software Support\u003c\/strong\u003e\u003cbr data-start=\"2105\" data-end=\"2108\"\u003e• NVIDIA RTX Enterprise drivers\u003cbr data-start=\"2139\" data-end=\"2142\"\u003e• ISV-certified (Autodesk, SolidWorks, Adobe, etc.)\u003cbr data-start=\"2193\" data-end=\"2196\"\u003e• Supports CUDA, TensorRT, Omniverse\u003c\/p\u003e","brand":"Nvidia","offers":[{"title":"Default Title","offer_id":51167295373476,"sku":"900-5G195-2551-000","price":1850.0,"currency_code":"SGD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0605\/0136\/0804\/files\/nvidia-rtx-pro-2000-blackwell-generation-900-5g195-2551-000-8093555.webp?v=1761645031"},{"product_id":"nvidia-dgx-spark-ai-supercomputer-4tb-940-54242-0007-000","title":"NVIDIA DGX Spark AI Supercomputer - 4TB","description":"\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 data-start=\"143\" data-end=\"781\"\u003e\u003cstrong data-start=\"143\" data-end=\"199\"\u003eNVIDIA DGX Spark – Enterprise-Grade AI Supercomputer\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp data-start=\"143\" data-end=\"781\"\u003eThe NVIDIA DGX Spark AI Supercomputer is a compact yet powerful on-premise AI system built for enterprises, research labs, and advanced developers.\u003cbr data-start=\"349\" data-end=\"352\"\u003eIt is designed to deliver high-density AI compute for machine learning, deep learning, generative AI, and data-intensive workloads.\u003cbr data-start=\"483\" data-end=\"486\"\u003eAs part of the NVIDIA DGX platform, it provides enterprise-grade reliability, optimized performance, and a production-ready AI infrastructure in a desktop form factor.\u003cbr data-start=\"653\" data-end=\"656\"\u003eThis makes it ideal for organizations that require secure, on-site AI computing without relying solely on the public cloud.\u003c\/p\u003e\n\u003ch3 data-start=\"783\" data-end=\"1392\"\u003e\u003cstrong data-start=\"783\" data-end=\"856\"\u003eBuilt for Generative AI, LLM Training, and High-Performance Inference\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp data-start=\"783\" data-end=\"1392\"\u003eDGX Spark is optimized for large language model training, fine-tuning, and high-throughput AI inference.\u003cbr data-start=\"963\" data-end=\"966\"\u003eIt enables faster experimentation, shorter training cycles, and real-time AI model deployment for business-critical workloads.\u003cbr data-start=\"1092\" data-end=\"1095\"\u003eWith support for modern AI frameworks such as PyTorch, TensorFlow, and NVIDIA CUDA-accelerated libraries, it accelerates end-to-end AI development pipelines.\u003cbr data-start=\"1252\" data-end=\"1255\"\u003eThis makes it ideal for generative AI, multimodal AI, computer vision, natural language processing, and advanced data science projects.\u003c\/p\u003e\n\u003ch3 data-start=\"1394\" data-end=\"1960\"\u003e\u003cstrong data-start=\"1394\" data-end=\"1457\"\u003e4TB High-Speed NVMe Storage for Data-Intensive AI Workflows\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp data-start=\"1394\" data-end=\"1960\"\u003eThe 4TB ultra-fast NVMe storage is engineered for high-speed data access, rapid dataset loading, and accelerated model checkpointing.\u003cbr data-start=\"1593\" data-end=\"1596\"\u003eIt allows teams to work with massive training datasets, large AI models, and continuous experimentation without I\/O bottlenecks.\u003cbr data-start=\"1724\" data-end=\"1727\"\u003eThis improves performance across data preprocessing, training, validation, and model deployment stages.\u003cbr data-start=\"1830\" data-end=\"1833\"\u003eIt is ideal for organizations handling large volumes of training data, synthetic data generation, and real-time AI pipelines.\u003c\/p\u003e\n\u003ch3 data-start=\"1962\" data-end=\"2490\"\u003e\u003cstrong data-start=\"1962\" data-end=\"2022\"\u003eScalable, Secure, and Ready for Enterprise AI Deployment\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp data-start=\"1962\" data-end=\"2490\"\u003eDGX Spark integrates seamlessly with NVIDIA AI Enterprise software, providing stability, security, and long-term production support.\u003cbr data-start=\"2157\" data-end=\"2160\"\u003eIt supports secure AI operations with enterprise-grade system management, monitoring, and lifecycle tools.\u003cbr data-start=\"2266\" data-end=\"2269\"\u003eThe system is designed for continuous 24\/7 workloads with optimized cooling and stable power delivery.\u003cbr data-start=\"2371\" data-end=\"2374\"\u003eIt also supports scaling across multiple systems, making it suitable for growing AI teams and expanding workloads.\u003c\/p\u003e\n\u003ch3 data-start=\"2492\" data-end=\"3085\"\u003e\u003cstrong data-start=\"2492\" data-end=\"2553\"\u003eIdeal for On-Prem AI, Edge AI, and Confidential Workloads\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp data-start=\"2492\" data-end=\"3085\"\u003eDGX Spark is well suited for organizations that require local AI processing for data privacy, compliance, and intellectual property protection.\u003cbr data-start=\"2699\" data-end=\"2702\"\u003eIt enables on-premise AI development for regulated industries such as finance, healthcare, research, defense, and government.\u003cbr data-start=\"2827\" data-end=\"2830\"\u003eIt is also suitable for edge AI environments, enabling real-time inference and low-latency AI deployment at the source of data.\u003cbr data-start=\"2957\" data-end=\"2960\"\u003eThis makes it a strong choice for enterprises building secure, high-performance AI infrastructure without cloud dependency.\u003c\/p\u003e\n\u003cp data-start=\"2492\" data-end=\"3085\"\u003ehttps:\/\/sourceit.com.sg\/blogs\/news\/nvidia-dgx-spark-setup-and-enterprise-deployment-guide\u003c\/p\u003e\n\u003ch3 data-end=\"51\" data-start=\"0\"\u003e\u003cstrong\u003eStep-by-Step Setup Guide for NVIDIA DGX Spark\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp data-end=\"240\" data-start=\"53\"\u003eGetting your NVIDIA DGX Spark up and running is straightforward with the proper preparation. Follow this structured setup process to ensure optimal performance and stability from day one. Link as follows:\u003c\/p\u003e\n\u003cp data-end=\"240\" data-start=\"53\"\u003e\u003ca title=\"NVIDIA DGX Spark AI Supercomputer 4TB\" 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\u003cstrong\u003e\u003c\/strong\u003e\u003c\/p\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\u003ch2 data-start=\"230\" data-end=\"319\"\u003e\u003cstrong data-start=\"233\" data-end=\"317\"\u003eTechnical Specification – NVIDIA DGX Spark AI Supercomputer (940-54242-0007-000)\u003c\/strong\u003e\u003c\/h2\u003e\n\u003cp data-start=\"320\" data-end=\"440\"\u003e\u003cstrong data-start=\"320\" data-end=\"330\"\u003eModel:\u003c\/strong\u003e NVIDIA DGX Spark AI Supercomputer\u003cbr data-start=\"364\" data-end=\"367\"\u003e\u003cstrong data-start=\"367\" data-end=\"376\"\u003eGTIN:\u003c\/strong\u003e 812674029197\u003cbr data-start=\"389\" data-end=\"392\"\u003e\u003cstrong data-start=\"392\" data-end=\"405\"\u003eCategory:\u003c\/strong\u003e Compact Desktop AI Supercomputer\u003c\/p\u003e\n\u003ch3 data-start=\"442\" data-end=\"467\"\u003e\u003cstrong data-start=\"446\" data-end=\"467\"\u003eChip Architecture\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cul data-start=\"468\" data-end=\"649\"\u003e\n\u003cli data-start=\"468\" data-end=\"546\"\u003e\n\u003cp data-start=\"470\" data-end=\"546\"\u003e\u003cstrong data-start=\"470\" data-end=\"511\"\u003eNVIDIA GB10 Grace Blackwell Superchip\u003c\/strong\u003e (CPU + GPU unified architecture)\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"547\" data-end=\"649\"\u003e\n\u003cp data-start=\"549\" data-end=\"649\"\u003eBuilt for advanced AI development, LLM training, generative AI, and enterprise inference workloads\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch3 data-start=\"651\" data-end=\"662\"\u003e\u003cstrong data-start=\"655\" data-end=\"662\"\u003eCPU\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cul data-start=\"663\" data-end=\"865\"\u003e\n\u003cli data-start=\"663\" data-end=\"781\"\u003e\n\u003cp data-start=\"665\" data-end=\"687\"\u003e\u003cstrong data-start=\"665\" data-end=\"684\"\u003e20-core ARM CPU\u003c\/strong\u003e:\u003c\/p\u003e\n\u003cul data-start=\"690\" data-end=\"781\"\u003e\n\u003cli data-start=\"690\" data-end=\"737\"\u003e\n\u003cp data-start=\"692\" data-end=\"737\"\u003e10 × \u003cstrong data-start=\"697\" data-end=\"712\"\u003eCortex-X925\u003c\/strong\u003e high-performance cores\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"740\" data-end=\"781\"\u003e\n\u003cp data-start=\"742\" data-end=\"781\"\u003e10 × \u003cstrong data-start=\"747\" data-end=\"762\"\u003eCortex-A725\u003c\/strong\u003e efficiency cores\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"782\" data-end=\"865\"\u003e\n\u003cp data-start=\"784\" data-end=\"865\"\u003eOptimized for parallel compute, AI preprocessing, and mixed workload efficiency\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch3 data-start=\"867\" data-end=\"896\"\u003e\u003cstrong data-start=\"871\" data-end=\"896\"\u003eGPU \/ AI Acceleration\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cul data-start=\"897\" data-end=\"1180\"\u003e\n\u003cli data-start=\"897\" data-end=\"936\"\u003e\n\u003cp data-start=\"899\" data-end=\"936\"\u003eIntegrated \u003cstrong data-start=\"910\" data-end=\"934\"\u003eNVIDIA Blackwell GPU\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"937\" data-end=\"1009\"\u003e\n\u003cp data-start=\"939\" data-end=\"1009\"\u003e\u003cstrong data-start=\"939\" data-end=\"970\"\u003e5th Generation Tensor Cores\u003c\/strong\u003e (AI acceleration, FP4\/FP8 optimized)\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"1010\" data-end=\"1094\"\u003e\n\u003cp data-start=\"1012\" data-end=\"1094\"\u003e\u003cstrong data-start=\"1012\" data-end=\"1039\"\u003e4th Generation RT Cores\u003c\/strong\u003e for graphics, simulation, and rendering acceleration\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"1095\" data-end=\"1180\"\u003e\n\u003cp data-start=\"1097\" data-end=\"1180\"\u003eIdeal for LLM workloads, multimodal AI, diffusion models, and inference pipelines\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch3 data-start=\"1182\" data-end=\"1204\"\u003e\u003cstrong data-start=\"1186\" data-end=\"1204\"\u003eAI Performance\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cul data-start=\"1205\" data-end=\"1343\"\u003e\n\u003cli data-start=\"1205\" data-end=\"1242\"\u003e\n\u003cp data-start=\"1207\" data-end=\"1242\"\u003e\u003cstrong data-start=\"1207\" data-end=\"1240\"\u003eUp to 1 PFLOPS FP4 AI compute\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"1243\" data-end=\"1343\"\u003e\n\u003cp data-start=\"1245\" data-end=\"1343\"\u003eSupports next-generation generative AI, RAG systems, HPC simulations, and enterprise fine-tuning\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch3 data-start=\"1345\" data-end=\"1374\"\u003e\u003cstrong data-start=\"1349\" data-end=\"1374\"\u003eUnified Memory System\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cul data-start=\"1375\" data-end=\"1656\"\u003e\n\u003cli data-start=\"1375\" data-end=\"1435\"\u003e\n\u003cp data-start=\"1377\" data-end=\"1435\"\u003e\u003cstrong data-start=\"1377\" data-end=\"1416\"\u003e128GB LPDDR5X Unified System Memory\u003c\/strong\u003e (shared CPU–GPU)\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"1436\" data-end=\"1480\"\u003e\n\u003cp data-start=\"1438\" data-end=\"1480\"\u003e\u003cstrong data-start=\"1438\" data-end=\"1459\"\u003eMemory Bandwidth:\u003c\/strong\u003e Up to \u003cstrong data-start=\"1466\" data-end=\"1478\"\u003e273 GB\/s\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"1481\" data-end=\"1570\"\u003e\n\u003cp data-start=\"1483\" data-end=\"1570\"\u003e\u003cstrong data-start=\"1483\" data-end=\"1516\"\u003eUnified coherent memory model\u003c\/strong\u003e via \u003cstrong data-start=\"1521\" data-end=\"1535\"\u003eNVLink-C2C\u003c\/strong\u003e, eliminating CPU-GPU bottlenecks\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"1571\" data-end=\"1656\"\u003e\n\u003cp data-start=\"1573\" data-end=\"1656\"\u003eExcellent for training\/fine-tuning LLMs, embeddings, and large transformer models\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch3 data-start=\"1658\" data-end=\"1673\"\u003e\u003cstrong data-start=\"1662\" data-end=\"1673\"\u003eStorage\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cul data-start=\"1674\" data-end=\"1804\"\u003e\n\u003cli data-start=\"1674\" data-end=\"1714\"\u003e\n\u003cp data-start=\"1676\" data-end=\"1714\"\u003e\u003cstrong data-start=\"1676\" data-end=\"1712\"\u003e4TB NVMe M.2 Self-Encrypting SSD\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"1715\" data-end=\"1804\"\u003e\n\u003cp data-start=\"1717\" data-end=\"1804\"\u003eHigh-speed read\/write performance for datasets, checkpoints, and enterprise workflows\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch3 data-start=\"1806\" data-end=\"1839\"\u003e\u003cstrong data-start=\"1810\" data-end=\"1839\"\u003eNetworking \u0026amp; Interconnect\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cul data-start=\"1840\" data-end=\"2111\"\u003e\n\u003cli data-start=\"1840\" data-end=\"1890\"\u003e\n\u003cp data-start=\"1842\" data-end=\"1890\"\u003e\u003cstrong data-start=\"1842\" data-end=\"1866\"\u003e10GbE RJ-45 Ethernet\u003c\/strong\u003e (standard networking)\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"1891\" data-end=\"2069\"\u003e\n\u003cp data-start=\"1893\" data-end=\"1926\"\u003e\u003cstrong data-start=\"1893\" data-end=\"1923\"\u003eNVIDIA ConnectX-7 SmartNIC\u003c\/strong\u003e:\u003c\/p\u003e\n\u003cul data-start=\"1929\" data-end=\"2069\"\u003e\n\u003cli data-start=\"1929\" data-end=\"1974\"\u003e\n\u003cp data-start=\"1931\" data-end=\"1974\"\u003eUp to \u003cstrong data-start=\"1937\" data-end=\"1948\"\u003e200Gbps\u003c\/strong\u003e high-speed interconnect\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"1977\" data-end=\"2006\"\u003e\n\u003cp data-start=\"1979\" data-end=\"2006\"\u003eRDMA \/ InfiniBand capable\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"2009\" data-end=\"2069\"\u003e\n\u003cp data-start=\"2011\" data-end=\"2069\"\u003eSupports multi-node AI clusters and distributed training\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"2070\" data-end=\"2111\"\u003e\n\u003cp data-start=\"2072\" data-end=\"2111\"\u003e\u003cstrong data-start=\"2072\" data-end=\"2085\"\u003eWireless:\u003c\/strong\u003e Wi-Fi 7 + Bluetooth 5.x\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch3 data-start=\"2113\" data-end=\"2130\"\u003e\u003cstrong data-start=\"2117\" data-end=\"2130\"\u003eI\/O Ports\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cul data-start=\"2131\" data-end=\"2282\"\u003e\n\u003cli data-start=\"2131\" data-end=\"2186\"\u003e\n\u003cp data-start=\"2133\" data-end=\"2186\"\u003e\u003cstrong data-start=\"2133\" data-end=\"2146\"\u003e4 × USB-C\u003c\/strong\u003e (USB 3.x high-bandwidth connectivity)\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"2187\" data-end=\"2217\"\u003e\n\u003cp data-start=\"2189\" data-end=\"2217\"\u003e\u003cstrong data-start=\"2189\" data-end=\"2202\"\u003eHDMI 2.1a\u003c\/strong\u003e video output\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"2218\" data-end=\"2282\"\u003e\n\u003cp data-start=\"2220\" data-end=\"2282\"\u003eSupports modern displays and remote-access console workflows\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch3 data-start=\"2284\" data-end=\"2313\"\u003e\u003cstrong data-start=\"2288\" data-end=\"2313\"\u003eVideo Encode \/ Decode\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cul data-start=\"2314\" data-end=\"2465\"\u003e\n\u003cli data-start=\"2314\" data-end=\"2355\"\u003e\n\u003cp data-start=\"2316\" data-end=\"2355\"\u003e\u003cstrong data-start=\"2316\" data-end=\"2328\"\u003eNVENC ×1\u003c\/strong\u003e (hardware video encoder)\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"2356\" data-end=\"2397\"\u003e\n\u003cp data-start=\"2358\" data-end=\"2397\"\u003e\u003cstrong data-start=\"2358\" data-end=\"2370\"\u003eNVDEC ×1\u003c\/strong\u003e (hardware video decoder)\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"2398\" data-end=\"2465\"\u003e\n\u003cp data-start=\"2400\" data-end=\"2465\"\u003eSuitable for video AI, streaming, and real-time media workloads\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch3 data-start=\"2467\" data-end=\"2492\"\u003e\u003cstrong data-start=\"2471\" data-end=\"2492\"\u003eSoftware Platform\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cul data-start=\"2493\" data-end=\"2734\"\u003e\n\u003cli data-start=\"2493\" data-end=\"2550\"\u003e\n\u003cp data-start=\"2495\" data-end=\"2550\"\u003e\u003cstrong data-start=\"2495\" data-end=\"2512\"\u003eNVIDIA DGX OS\u003c\/strong\u003e (Ubuntu LTS-based enterprise AI OS)\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"2551\" data-end=\"2734\"\u003e\n\u003cp data-start=\"2553\" data-end=\"2585\"\u003eFull NVIDIA AI software stack:\u003c\/p\u003e\n\u003cul data-start=\"2588\" data-end=\"2734\"\u003e\n\u003cli data-start=\"2588\" data-end=\"2618\"\u003e\n\u003cp data-start=\"2590\" data-end=\"2618\"\u003eNVIDIA AI Enterprise Suite\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"2621\" data-end=\"2637\"\u003e\n\u003cp data-start=\"2623\" data-end=\"2637\"\u003eCUDA Toolkit\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"2640\" data-end=\"2652\"\u003e\n\u003cp data-start=\"2642\" data-end=\"2652\"\u003eTensorRT\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"2655\" data-end=\"2700\"\u003e\n\u003cp data-start=\"2657\" data-end=\"2700\"\u003ePyTorch \u0026amp; TensorFlow optimized containers\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"2703\" data-end=\"2734\"\u003e\n\u003cp data-start=\"2705\" data-end=\"2734\"\u003eNGC-certified AI containers\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch3 data-start=\"2736\" data-end=\"2759\"\u003e\u003cstrong data-start=\"2740\" data-end=\"2759\"\u003eCooling \u0026amp; Power\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cul data-start=\"2760\" data-end=\"2955\"\u003e\n\u003cli data-start=\"2760\" data-end=\"2842\"\u003e\n\u003cp data-start=\"2762\" data-end=\"2842\"\u003e\u003cstrong data-start=\"2762\" data-end=\"2804\"\u003eEnterprise-grade active cooling system\u003c\/strong\u003e for sustained high-load performance\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"2843\" data-end=\"2887\"\u003e\n\u003cp data-start=\"2845\" data-end=\"2887\"\u003eExternal \u003cstrong data-start=\"2854\" data-end=\"2885\"\u003edesktop-class power adapter\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"2888\" data-end=\"2955\"\u003e\n\u003cp data-start=\"2890\" data-end=\"2955\"\u003eEfficient thermal management for long-duration AI compute tasks\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch3 data-start=\"2957\" data-end=\"2976\"\u003e\u003cstrong data-start=\"2961\" data-end=\"2976\"\u003eForm Factor\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cul data-start=\"2977\" data-end=\"3165\"\u003e\n\u003cli data-start=\"2977\" data-end=\"3019\"\u003e\n\u003cp data-start=\"2979\" data-end=\"3019\"\u003eUltra-compact desktop AI supercomputer\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"3020\" data-end=\"3066\"\u003e\n\u003cp data-start=\"3022\" data-end=\"3066\"\u003e\u003cstrong data-start=\"3022\" data-end=\"3037\"\u003eDimensions:\u003c\/strong\u003e ~150 mm × 150 mm × 50.5 mm\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"3067\" data-end=\"3090\"\u003e\n\u003cp data-start=\"3069\" data-end=\"3090\"\u003e\u003cstrong data-start=\"3069\" data-end=\"3080\"\u003eWeight:\u003c\/strong\u003e ~1.2 kg\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"3091\" data-end=\"3165\"\u003e\n\u003cp data-start=\"3093\" data-end=\"3165\"\u003eDesigned for lab environments, R\u0026amp;D, on-prem AI, and edge AI deployment\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch3 data-start=\"3167\" data-end=\"3195\"\u003e\u003cstrong data-start=\"3171\" data-end=\"3195\"\u003eWorkload Suitability\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cul data-start=\"3196\" data-end=\"3460\"\u003e\n\u003cli data-start=\"3196\" data-end=\"3281\"\u003e\n\u003cp data-start=\"3198\" data-end=\"3212\"\u003e\u003cstrong data-start=\"3198\" data-end=\"3210\"\u003ePrimary:\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul data-start=\"3215\" data-end=\"3281\"\u003e\n\u003cli data-start=\"3215\" data-end=\"3231\"\u003e\n\u003cp data-start=\"3217\" data-end=\"3231\"\u003eLLM training\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"3234\" data-end=\"3253\"\u003e\n\u003cp data-start=\"3236\" data-end=\"3253\"\u003eLLM fine-tuning\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"3256\" data-end=\"3281\"\u003e\n\u003cp data-start=\"3258\" data-end=\"3281\"\u003eLarge-scale inference\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"3282\" data-end=\"3460\"\u003e\n\u003cp data-start=\"3284\" data-end=\"3300\"\u003e\u003cstrong data-start=\"3284\" data-end=\"3298\"\u003eSecondary:\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul data-start=\"3303\" data-end=\"3460\"\u003e\n\u003cli data-start=\"3303\" data-end=\"3347\"\u003e\n\u003cp data-start=\"3305\" data-end=\"3347\"\u003eGenerative AI (image, video, multimodal)\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"3350\" data-end=\"3386\"\u003e\n\u003cp data-start=\"3352\" data-end=\"3386\"\u003eData science \u0026amp; vector embeddings\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"3389\" data-end=\"3428\"\u003e\n\u003cp data-start=\"3391\" data-end=\"3428\"\u003eScientific computing \u0026amp; HPC research\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"3431\" data-end=\"3460\"\u003e\n\u003cp data-start=\"3433\" data-end=\"3460\"\u003eEnterprise AI development\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch3 data-start=\"3462\" data-end=\"3478\"\u003e\u003cstrong data-start=\"3466\" data-end=\"3478\"\u003eSecurity\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cul data-start=\"3479\" data-end=\"3603\"\u003e\n\u003cli data-start=\"3479\" data-end=\"3501\"\u003e\n\u003cp data-start=\"3481\" data-end=\"3501\"\u003eSecure Boot (UEFI)\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"3502\" data-end=\"3551\"\u003e\n\u003cp data-start=\"3504\" data-end=\"3551\"\u003eTPM-based security and encryption protections\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"3552\" data-end=\"3603\"\u003e\n\u003cp data-start=\"3554\" data-end=\"3603\"\u003eSelf-encrypting SSD for data-at-rest protection\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch3 data-start=\"3605\" data-end=\"3637\"\u003e\u003cstrong data-start=\"3609\" data-end=\"3637\"\u003eAccessories \u0026amp; Power Cord\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cul data-start=\"3638\" data-end=\"3743\"\u003e\n\u003cli data-start=\"3638\" data-end=\"3693\"\u003e\n\u003cp data-start=\"3640\" data-end=\"3693\"\u003eIncluded: \u003cstrong data-start=\"3650\" data-end=\"3674\"\u003eUS Type-B Power Cord\u003c\/strong\u003e (factory sealed)\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"3694\" data-end=\"3743\"\u003e\n\u003cp data-start=\"3696\" data-end=\"3743\"\u003e\u003cstrong data-start=\"3696\" data-end=\"3713\"\u003eUK Power Cord\u003c\/strong\u003e will be provided separately\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\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":"\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 data-start=\"151\" data-end=\"581\"\u003e\u003cstrong data-start=\"151\" data-end=\"221\"\u003eASUS Ascent GX10 – Compact AI Supercomputer for Advanced Workflows\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp data-start=\"151\" data-end=\"581\"\u003eThe ASUS Ascent GX10 Compact Desktop AI Supercomputer is built for creators, researchers, and engineers who require extreme performance in a space-efficient form factor. It brings supercomputer-class AI processing to the desktop, enabling high-speed data analysis, model training, rendering, and advanced simulation without needing a full-scale rack system.\u003c\/p\u003e\n\u003ch3 data-start=\"583\" data-end=\"949\"\u003e\u003cstrong data-start=\"583\" data-end=\"635\"\u003eAI-Optimized Performance for Intensive Computing\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp data-start=\"583\" data-end=\"949\"\u003ePowered by ASUS’s next-generation AI-accelerated design, the GX10 delivers exceptional compute power for machine learning, deep learning, and generative AI workloads. From LLM experimentation to professional 3D rendering, this system ensures smooth, optimized performance across the most demanding applications.\u003c\/p\u003e\n\u003ch3 data-start=\"951\" data-end=\"1293\"\u003e\u003cstrong data-start=\"951\" data-end=\"996\"\u003e2TB High-Speed Storage for Large Datasets\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp data-start=\"951\" data-end=\"1293\"\u003eEquipped with 2TB of ultra-fast NVMe storage, the Ascent GX10 offers massive room for training datasets, project files, media assets, and AI model checkpoints. The high read\/write throughput ensures minimal latency, faster loading, and seamless workflow transitions across data-intensive tasks.\u003c\/p\u003e\n\u003ch3 data-start=\"1295\" data-end=\"1686\"\u003e\u003cstrong data-start=\"1295\" data-end=\"1347\"\u003eCompact Design with Advanced Thermal Engineering\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp data-start=\"1295\" data-end=\"1686\"\u003eDespite its compact footprint, the GX10 features intelligent cooling architecture to maintain stable performance under continuous heavy workloads. ASUS engineered the system for quiet operation and thermal efficiency, making it suitable for research labs, studios, and office environments where performance and reliability must coexist.\u003c\/p\u003e\n\u003cp data-start=\"1409\" data-end=\"1821\"\u003e\u003ciframe width=\"560\" height=\"315\" src=\"https:\/\/www.youtube.com\/embed\/ASm_Cg5txOI?si=NwZBr8flFQ39APye\" title=\"YouTube video player\"\u003e\u003c\/iframe\u003e\u003cstrong data-start=\"192\" data-end=\"277\"\u003e\u003c\/strong\u003e\u003c\/p\u003e\n\u003ch3 data-start=\"383\" data-end=\"423\"\u003e\u003cstrong data-start=\"387\" data-end=\"423\"\u003eTechnical Specification: \u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp data-start=\"42\" data-end=\"699\"\u003e\u003cstrong data-start=\"42\" data-end=\"53\"\u003eGeneral\u003c\/strong\u003e\u003cbr data-start=\"53\" data-end=\"56\"\u003eModel: Ascent GX10 2TB\u003cbr data-start=\"78\" data-end=\"81\"\u003ePart Number: 90MS0371-M000Y0\u003cbr data-start=\"109\" data-end=\"112\"\u003eSKU: GX10-GG0030BN\u003cbr data-start=\"130\" data-end=\"133\"\u003eProduct Name: ASUS Ascent GX10 Compact Desktop AI Supercomputer – 2TB\u003cbr data-start=\"202\" data-end=\"205\"\u003eManufacturer: \u003cspan class=\"\" data-state=\"closed\"\u003e\u003ca class=\"decorated-link\" rel=\"noopener\" href=\"https:\/\/www.asus.com?utm_source=chatgpt.com\" target=\"_blank\"\u003eASUS\u003c\/a\u003e\u003c\/span\u003e\u003cbr data-start=\"256\" data-end=\"259\"\u003eProduct Type: Desktop AI Supercomputer\u003cbr data-start=\"297\" data-end=\"300\"\u003eDeployment: AI Development, Machine Learning, Data Science, Edge AI, Research Labs\u003cbr data-start=\"382\" data-end=\"385\"\u003eUsage Mode: AI Training, Fine-Tuning, Inference, Data Analytics, LLM Development\u003cbr data-start=\"465\" data-end=\"468\"\u003eOperating System: Ubuntu Linux \/ NVIDIA DGX OS\u003cbr data-start=\"514\" data-end=\"517\"\u003eForm Factor: Ultra-Compact Desktop AI Workstation\u003cbr data-start=\"566\" data-end=\"569\"\u003eWarranty: 1 Year Onsite Warranty (Selected partners may offer promotional warranty upgrades) \u003cspan class=\"\" data-state=\"closed\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp data-start=\"701\" data-end=\"1032\"\u003e\u003cstrong data-start=\"701\" data-end=\"729\"\u003eProcessor Specifications\u003c\/strong\u003e\u003cbr data-start=\"729\" data-end=\"732\"\u003eProcessor Platform: NVIDIA GB10 Grace Blackwell Superchip\u003cbr data-start=\"789\" data-end=\"792\"\u003eCPU Architecture: ARM v9.2-A\u003cbr data-start=\"820\" data-end=\"823\"\u003eCPU Configuration: 20-Core ARM CPU\u003cbr data-start=\"857\" data-end=\"860\"\u003ePerformance Cores: 10 × Cortex-X925\u003cbr data-start=\"895\" data-end=\"898\"\u003eEfficiency Cores: 10 × Cortex-A725\u003cbr data-start=\"932\" data-end=\"935\"\u003eAI Compute Performance: Up to 1 PetaFLOP FP4 AI Performance \u003cspan class=\"\" data-state=\"closed\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp data-start=\"1034\" data-end=\"1416\"\u003e\u003cstrong data-start=\"1034\" data-end=\"1061\"\u003eGraphics Specifications\u003c\/strong\u003e\u003cbr data-start=\"1061\" data-end=\"1064\"\u003eGraphics Processor: NVIDIA Blackwell GPU (Integrated GB10)\u003cbr data-start=\"1122\" data-end=\"1125\"\u003eGPU Architecture: Blackwell\u003cbr data-start=\"1152\" data-end=\"1155\"\u003eGPU Memory Architecture: Unified CPU-GPU Memory\u003cbr data-start=\"1202\" data-end=\"1205\"\u003eAI Acceleration: NVIDIA Tensor Cores\u003cbr data-start=\"1241\" data-end=\"1244\"\u003eAI Framework Support: CUDA, TensorRT, PyTorch, TensorFlow, Jupyter\u003cbr data-start=\"1310\" data-end=\"1313\"\u003eLarge Language Model Support: Up to 200B Parameter Models Locally \u003cspan class=\"\" data-state=\"closed\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp data-start=\"1418\" data-end=\"1730\"\u003e\u003cstrong data-start=\"1418\" data-end=\"1443\"\u003eMemory Specifications\u003c\/strong\u003e\u003cbr data-start=\"1443\" data-end=\"1446\"\u003eInstalled Memory: 128GB LPDDR5X Unified Memory\u003cbr data-start=\"1492\" data-end=\"1495\"\u003eMemory Type: LPDDR5X\u003cbr data-start=\"1515\" data-end=\"1518\"\u003eMemory Architecture: Shared CPU-GPU Unified Memory\u003cbr data-start=\"1568\" data-end=\"1571\"\u003eMemory Bandwidth: High-Speed Coherent Memory Architecture\u003cbr data-start=\"1628\" data-end=\"1631\"\u003eLarge Dataset Support: Supported\u003cbr data-start=\"1663\" data-end=\"1666\"\u003eLLM Fine-Tuning: Supported \u003cspan class=\"\" data-state=\"closed\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp data-start=\"1732\" data-end=\"2031\"\u003e\u003cstrong data-start=\"1732\" data-end=\"1758\"\u003eStorage Specifications\u003c\/strong\u003e\u003cbr data-start=\"1758\" data-end=\"1761\"\u003eInstalled Storage: 2TB M.2 NVMe PCIe 4.0 SSD\u003cbr data-start=\"1805\" data-end=\"1808\"\u003eStorage Type: PCIe NVMe SSD\u003cbr data-start=\"1835\" data-end=\"1838\"\u003eDrive Configuration: Single Internal SSD\u003cbr data-start=\"1878\" data-end=\"1881\"\u003eApplication Support: AI Models, Datasets, Vector Databases, RAG Workloads\u003cbr data-start=\"1954\" data-end=\"1957\"\u003eHigh-Speed Storage Access: Supported \u003cspan class=\"\" data-state=\"closed\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp data-start=\"2033\" data-end=\"2301\"\u003e\u003cstrong data-start=\"2033\" data-end=\"2062\"\u003eNetworking Specifications\u003c\/strong\u003e\u003cbr data-start=\"2062\" data-end=\"2065\"\u003eEthernet: 10GbE LAN\u003cbr data-start=\"2084\" data-end=\"2087\"\u003eSmartNIC: NVIDIA ConnectX-7\u003cbr data-start=\"2114\" data-end=\"2117\"\u003eWi-Fi: Wi-Fi 7\u003cbr data-start=\"2131\" data-end=\"2134\"\u003eBluetooth: Bluetooth 5.4\u003cbr data-start=\"2158\" data-end=\"2161\"\u003eMulti-System Scaling: Supported\u003cbr data-start=\"2192\" data-end=\"2195\"\u003eCluster Networking: Supported\u003cbr data-start=\"2224\" data-end=\"2227\"\u003eLow-Latency AI Networking: Supported \u003cspan class=\"\" data-state=\"closed\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp data-start=\"2303\" data-end=\"2686\"\u003e\u003cstrong data-start=\"2303\" data-end=\"2327\"\u003ePorts \u0026amp; Connectivity\u003c\/strong\u003e\u003cbr data-start=\"2327\" data-end=\"2330\"\u003eUSB-C Ports: 3 × USB 3.2 Gen 2x2 Type-C (20Gbps)\u003cbr data-start=\"2378\" data-end=\"2381\"\u003eUSB-C Power Input: 1 × USB-C PD Input (180W PD 3.1)\u003cbr data-start=\"2432\" data-end=\"2435\"\u003eDisplay Output: 1 × HDMI 2.1\u003cbr data-start=\"2463\" data-end=\"2466\"\u003eDisplayPort Support: DisplayPort 2.1 via USB-C Alt Mode\u003cbr data-start=\"2521\" data-end=\"2524\"\u003eNetwork Port: 1 × 10GbE RJ45\u003cbr data-start=\"2552\" data-end=\"2555\"\u003eSmartNIC Port: NVIDIA ConnectX-7 Interface\u003cbr data-start=\"2597\" data-end=\"2600\"\u003eWireless Connectivity: Wi-Fi 7 and Bluetooth 5.4 \u003cspan class=\"\" data-state=\"closed\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp data-start=\"2688\" data-end=\"3107\"\u003e\u003cstrong data-start=\"2688\" data-end=\"2717\"\u003eAI \u0026amp; Development Features\u003c\/strong\u003e\u003cbr data-start=\"2717\" data-end=\"2720\"\u003eAI Compute Performance: Up to 1 PetaFLOP FP4\u003cbr data-start=\"2764\" data-end=\"2767\"\u003eAI Development Platform: NVIDIA DGX Spark Ecosystem\u003cbr data-start=\"2818\" data-end=\"2821\"\u003eModel Fine-Tuning: Supported\u003cbr data-start=\"2849\" data-end=\"2852\"\u003eLocal Inference: Supported\u003cbr data-start=\"2878\" data-end=\"2881\"\u003eAgentic AI Development: Supported\u003cbr data-start=\"2914\" data-end=\"2917\"\u003eRAG Workloads: Supported\u003cbr data-start=\"2941\" data-end=\"2944\"\u003eDeep Learning Training: Supported\u003cbr data-start=\"2977\" data-end=\"2980\"\u003eDual GX10 Scaling: Supported\u003cbr data-start=\"3008\" data-end=\"3011\"\u003eMulti-Node AI Scaling: Supported via ConnectX-7 Networking \u003cspan class=\"\" data-state=\"closed\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp data-start=\"3109\" data-end=\"3384\"\u003e\u003cstrong data-start=\"3109\" data-end=\"3129\"\u003eSoftware Support\u003c\/strong\u003e\u003cbr data-start=\"3129\" data-end=\"3132\"\u003eOperating System: Ubuntu Linux\u003cbr data-start=\"3162\" data-end=\"3165\"\u003eDGX OS Support: Supported\u003cbr data-start=\"3190\" data-end=\"3193\"\u003eCUDA: Supported\u003cbr data-start=\"3208\" data-end=\"3211\"\u003ePyTorch: Supported\u003cbr data-start=\"3229\" data-end=\"3232\"\u003eTensorFlow: Supported\u003cbr data-start=\"3253\" data-end=\"3256\"\u003eTensorRT: Supported\u003cbr data-start=\"3275\" data-end=\"3278\"\u003eJupyter Notebooks: Supported\u003cbr data-start=\"3306\" data-end=\"3309\"\u003eNVIDIA AI Software Stack: Supported \u003cspan class=\"\" data-state=\"closed\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp data-start=\"3386\" data-end=\"3691\"\u003e\u003cstrong data-start=\"3386\" data-end=\"3414\"\u003eCooling \u0026amp; Thermal Design\u003c\/strong\u003e\u003cbr data-start=\"3414\" data-end=\"3417\"\u003eCooling Technology: Advanced Quiet-Cooling Thermal Design\u003cbr data-start=\"3474\" data-end=\"3477\"\u003eCooling System: Active Intelligent Cooling\u003cbr data-start=\"3519\" data-end=\"3522\"\u003eThermal Architecture: Optimized for Sustained AI Workloads\u003cbr data-start=\"3580\" data-end=\"3583\"\u003eLow Noise Operation: Supported\u003cbr data-start=\"3613\" data-end=\"3616\"\u003eContinuous AI Processing: Supported \u003cspan class=\"\" data-state=\"closed\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp data-start=\"3693\" data-end=\"3973\"\u003e\u003cstrong data-start=\"3693\" data-end=\"3718\"\u003eDesign \u0026amp; Construction\u003c\/strong\u003e\u003cbr data-start=\"3718\" data-end=\"3721\"\u003eColor: Stellar Grey\u003cbr data-start=\"3740\" data-end=\"3743\"\u003eForm Factor: Ultra-Compact Desktop AI Supercomputer\u003cbr data-start=\"3794\" data-end=\"3797\"\u003eConstruction: Premium Metal Chassis\u003cbr data-start=\"3832\" data-end=\"3835\"\u003eDesktop Deployment: Supported\u003cbr data-start=\"3864\" data-end=\"3867\"\u003eResearch Lab Deployment: Supported\u003cbr data-start=\"3901\" data-end=\"3904\"\u003eEdge AI Deployment: Supported \u003cspan class=\"\" data-state=\"closed\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp data-start=\"3975\" data-end=\"4173\"\u003e\u003cstrong data-start=\"3975\" data-end=\"4007\"\u003eEnvironmental Specifications\u003c\/strong\u003e\u003cbr data-start=\"4007\" data-end=\"4010\"\u003ePower Supply: 240W External Power Adapter\u003cbr data-start=\"4051\" data-end=\"4054\"\u003ePower Input: USB-C PD 3.1 (180W EPR)\u003cbr data-start=\"4090\" data-end=\"4093\"\u003eEnergy Efficient AI Computing: Supported \u003cspan class=\"\" data-state=\"closed\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp data-start=\"4175\" data-end=\"4384\"\u003e\u003cstrong data-start=\"4175\" data-end=\"4202\"\u003ePhysical Specifications\u003c\/strong\u003e\u003cbr data-start=\"4202\" data-end=\"4205\"\u003eDimensions (W × D × H): 150 × 150 × 51 mm\u003cbr data-start=\"4246\" data-end=\"4249\"\u003eWeight: Approximately 1.48 kg\u003cbr data-start=\"4278\" data-end=\"4281\"\u003eForm Factor: Ultra-Compact Desktop System\u003cbr data-start=\"4322\" data-end=\"4325\"\u003eColor: Stellar Grey \u003cspan class=\"\" data-state=\"closed\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp data-start=\"4386\" data-end=\"4552\"\u003e\u003cstrong data-start=\"4386\" data-end=\"4406\"\u003ePackage Contents\u003c\/strong\u003e\u003cbr data-start=\"4406\" data-end=\"4409\"\u003eASUS Ascent GX10 AI Supercomputer (2TB)\u003cbr data-start=\"4448\" data-end=\"4451\"\u003e240W Power Adapter\u003cbr data-start=\"4469\" data-end=\"4472\"\u003ePower Cord\u003cbr data-start=\"4482\" data-end=\"4485\"\u003eUser Manual\u003cbr data-start=\"4496\" data-end=\"4499\"\u003eWarranty Card \u003cspan class=\"\" data-state=\"closed\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp data-start=\"4554\" data-end=\"4988\"\u003e\u003cstrong data-start=\"4554\" data-end=\"4570\"\u003eKey Features\u003c\/strong\u003e\u003cbr data-start=\"4570\" data-end=\"4573\"\u003eNVIDIA GB10 Grace Blackwell Superchip\u003cbr data-start=\"4610\" data-end=\"4613\"\u003eUp to 1 PetaFLOP FP4 AI Performance\u003cbr data-start=\"4648\" data-end=\"4651\"\u003e128GB LPDDR5X Unified Memory\u003cbr data-start=\"4679\" data-end=\"4682\"\u003e2TB NVMe PCIe SSD\u003cbr data-start=\"4699\" data-end=\"4702\"\u003eNVIDIA Blackwell GPU Architecture\u003cbr data-start=\"4735\" data-end=\"4738\"\u003e10GbE Networking\u003cbr data-start=\"4754\" data-end=\"4757\"\u003eNVIDIA ConnectX-7 SmartNIC\u003cbr data-start=\"4783\" data-end=\"4786\"\u003eWi-Fi 7 and Bluetooth 5.4\u003cbr data-start=\"4811\" data-end=\"4814\"\u003eUbuntu Linux \/ DGX OS Support\u003cbr data-start=\"4843\" data-end=\"4846\"\u003eUltra-Compact 1.48kg Design\u003cbr data-start=\"4873\" data-end=\"4876\"\u003eSupports Up to 200B Parameter Models\u003cbr data-start=\"4912\" data-end=\"4915\"\u003eDual-System AI Scaling Capability \u003cspan class=\"\" data-state=\"closed\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp data-start=\"4990\" data-end=\"5365\"\u003e\u003cstrong data-start=\"4990\" data-end=\"5011\"\u003eTypical Use Cases\u003c\/strong\u003e\u003cbr data-start=\"5011\" data-end=\"5014\"\u003eLarge Language Model Development\u003cbr data-start=\"5046\" data-end=\"5049\"\u003eAI Agent Development\u003cbr data-start=\"5069\" data-end=\"5072\"\u003eRAG and Vector Database Workloads\u003cbr data-start=\"5105\" data-end=\"5108\"\u003eDeep Learning Research\u003cbr data-start=\"5130\" data-end=\"5133\"\u003eMachine Learning Training\u003cbr data-start=\"5158\" data-end=\"5161\"\u003eAI Inference at the Edge\u003cbr data-start=\"5185\" data-end=\"5188\"\u003eData Science Projects\u003cbr data-start=\"5209\" data-end=\"5212\"\u003eUniversity and Research Labs\u003cbr data-start=\"5240\" data-end=\"5243\"\u003eGenerative AI Applications\u003cbr data-start=\"5269\" data-end=\"5272\"\u003eComputer Vision Workloads\u003cbr data-start=\"5297\" data-end=\"5300\"\u003eEnterprise AI Development \u003cspan class=\"\" data-state=\"closed\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp data-start=\"5367\" data-end=\"5473\"\u003e\u003cstrong data-start=\"5367\" data-end=\"5381\"\u003eGTIN \/ EAN\u003c\/strong\u003e\u003cbr data-start=\"5381\" data-end=\"5384\"\u003ePart Number: 90MS0371-M000Y0\u003cbr data-start=\"5412\" data-end=\"5415\"\u003eSKU: GX10-GG0030BN\u003c\/p\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":"\u003ch2\u003e\n\u003cstrong\u003eASUS Ascent GX10 Compact Desktop AI Supercomputer - 4TB (GX10-GG0031BN) \/ (90MS0371-M000Z0) - 1 Year Onsite Warranty \u003cspan style=\"color: rgb(255, 42, 0);\"\u003e+ Limited-Time Offer: Free Upgrade to 3 Years Warranty.\u003c\/span\u003e \u003c\/strong\u003e\n\u003c\/h2\u003e\n\u003ch3 data-start=\"0\" data-end=\"488\"\u003e\u003cstrong data-start=\"0\" data-end=\"70\"\u003eASUS Ascent GX10 – Compact AI Supercomputer for Advanced Workflows\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp data-start=\"0\" data-end=\"488\"\u003eThe ASUS Ascent GX10 Compact Desktop AI Supercomputer delivers extreme performance for creators, researchers, and engineers who need workstation-class capability in a space-efficient design. Built to execute high-speed data analysis, AI model training, 3D rendering, and complex simulation workloads, it brings supercomputer-grade AI performance directly to the desktop without requiring large-scale infrastructure.\u003c\/p\u003e\n\u003ch3 data-start=\"490\" data-end=\"964\"\u003e\u003cstrong data-start=\"490\" data-end=\"542\"\u003eAI-Optimized Performance for Demanding Computing\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp data-start=\"490\" data-end=\"964\"\u003ePowered by ASUS’s next-generation AI-accelerated architecture, the GX10 is designed for machine learning, deep learning, and generative AI tasks. It handles large language models, simulation engines, and production-grade 3D pipelines with smooth, stable output. Whether you’re running inference, training custom AI models, or pushing heavy visualization workloads, the system ensures consistently optimized performance.\u003c\/p\u003e\n\u003ch3 data-start=\"966\" data-end=\"1407\"\u003e\u003cstrong data-start=\"966\" data-end=\"1015\"\u003e4TB High-Speed Storage for Heavy AI Workloads\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp data-start=\"966\" data-end=\"1407\"\u003eThe Ascent GX10 features 4TB of ultra-fast storage, giving you ample room for massive datasets, training checkpoints, research files, and complex production assets. Its high read\/write throughput reduces latency during large data transfers and accelerates workflow transitions. Ideal for AI labs, design studios, and engineering teams, it ensures seamless handling of data-intensive tasks.\u003c\/p\u003e\n\u003ch3 data-start=\"1409\" data-end=\"1821\"\u003e\u003cstrong data-start=\"1409\" data-end=\"1462\"\u003eCompact Design with Advanced Thermal Architecture\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp data-start=\"1409\" data-end=\"1821\"\u003eDespite its small footprint, the GX10 integrates a high-efficiency thermal design that keeps performance stable during prolonged high-load computing. ASUS engineered the system for low noise and optimal heat dissipation, making it suitable for offices, research environments, and studio setups that require power without sacrificing comfort or reliability.\u003c\/p\u003e\n\u003cp data-start=\"1409\" data-end=\"1821\"\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\u003ch3 data-start=\"383\" data-end=\"423\"\u003e\u003cstrong data-start=\"387\" data-end=\"423\"\u003eTechnical Specification: \u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp data-start=\"42\" data-end=\"705\"\u003e\u003cstrong data-start=\"42\" data-end=\"53\"\u003eGeneral\u003c\/strong\u003e\u003cbr data-start=\"53\" data-end=\"56\"\u003eModel: Ascent GX10 4TB\u003cbr data-start=\"78\" data-end=\"81\"\u003ePart Number: 90MS0371-M000Z0\u003cbr data-start=\"109\" data-end=\"112\"\u003eSKU: GX10-GG0031BN\u003cbr data-start=\"130\" data-end=\"133\"\u003eProduct Name: ASUS Ascent GX10 Compact Desktop AI Supercomputer – 4TB\u003cbr data-start=\"202\" data-end=\"205\"\u003eManufacturer: \u003cspan class=\"\" data-state=\"closed\"\u003eASUS\u003c\/span\u003e\u003cbr data-start=\"256\" data-end=\"259\"\u003eProduct Type: Desktop AI Supercomputer\u003cbr data-start=\"297\" data-end=\"300\"\u003eDeployment: AI Development, Machine Learning, Data Science, Edge AI, Research Labs\u003cbr data-start=\"382\" data-end=\"385\"\u003eUsage Mode: AI Training, Fine-Tuning, Inference, Data Analytics, LLM Development\u003cbr data-start=\"465\" data-end=\"468\"\u003eOperating System: Ubuntu Linux (DGX OS Compatible)\u003cbr data-start=\"518\" data-end=\"521\"\u003eForm Factor: Ultra-Compact Desktop AI Workstation\u003cbr data-start=\"570\" data-end=\"573\"\u003eWarranty: 1 Year Onsite Warranty (3-Year Promotional Upgrade Available from selected partners) \u003cspan class=\"\" data-state=\"closed\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp data-start=\"707\" data-end=\"1038\"\u003e\u003cstrong data-start=\"707\" data-end=\"735\"\u003eProcessor Specifications\u003c\/strong\u003e\u003cbr data-start=\"735\" data-end=\"738\"\u003eProcessor Platform: NVIDIA GB10 Grace Blackwell Superchip\u003cbr data-start=\"795\" data-end=\"798\"\u003eCPU Architecture: ARM v9.2-A\u003cbr data-start=\"826\" data-end=\"829\"\u003eCPU Configuration: 20-Core ARM CPU\u003cbr data-start=\"863\" data-end=\"866\"\u003ePerformance Cores: 10 × Cortex-X925\u003cbr data-start=\"901\" data-end=\"904\"\u003eEfficiency Cores: 10 × Cortex-A725\u003cbr data-start=\"938\" data-end=\"941\"\u003eAI Compute Performance: Up to 1 PetaFLOP FP4 AI Performance \u003cspan class=\"\" data-state=\"closed\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp data-start=\"1040\" data-end=\"1422\"\u003e\u003cstrong data-start=\"1040\" data-end=\"1067\"\u003eGraphics Specifications\u003c\/strong\u003e\u003cbr data-start=\"1067\" data-end=\"1070\"\u003eGraphics Processor: NVIDIA Blackwell GPU (Integrated GB10)\u003cbr data-start=\"1128\" data-end=\"1131\"\u003eGPU Architecture: Blackwell\u003cbr data-start=\"1158\" data-end=\"1161\"\u003eGPU Memory Architecture: Unified CPU-GPU Memory\u003cbr data-start=\"1208\" data-end=\"1211\"\u003eAI Acceleration: NVIDIA Tensor Cores\u003cbr data-start=\"1247\" data-end=\"1250\"\u003eAI Framework Support: CUDA, TensorRT, PyTorch, TensorFlow, Jupyter\u003cbr data-start=\"1316\" data-end=\"1319\"\u003eLarge Language Model Support: Up to 200B Parameter Models Locally \u003cspan class=\"\" data-state=\"closed\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp data-start=\"1424\" data-end=\"1732\"\u003e\u003cstrong data-start=\"1424\" data-end=\"1449\"\u003eMemory Specifications\u003c\/strong\u003e\u003cbr data-start=\"1449\" data-end=\"1452\"\u003eInstalled Memory: 128GB LPDDR5X\u003cbr data-start=\"1483\" data-end=\"1486\"\u003eMemory Type: Unified System Memory\u003cbr data-start=\"1520\" data-end=\"1523\"\u003eMemory Architecture: CPU-GPU Shared Memory Pool\u003cbr data-start=\"1570\" data-end=\"1573\"\u003eMemory Bandwidth: High-Speed Coherent Memory Architecture\u003cbr data-start=\"1630\" data-end=\"1633\"\u003eLarge Dataset Support: Supported\u003cbr data-start=\"1665\" data-end=\"1668\"\u003eLLM Fine-Tuning: Supported \u003cspan class=\"\" data-state=\"closed\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp data-start=\"1734\" data-end=\"2029\"\u003e\u003cstrong data-start=\"1734\" data-end=\"1760\"\u003eStorage Specifications\u003c\/strong\u003e\u003cbr data-start=\"1760\" data-end=\"1763\"\u003eInstalled Storage: 4TB M.2 NVMe PCIe SSD\u003cbr data-start=\"1803\" data-end=\"1806\"\u003eStorage Type: PCIe 4.0 NVMe SSD\u003cbr data-start=\"1837\" data-end=\"1840\"\u003eDrive Configuration: Single M.2 Slot\u003cbr data-start=\"1876\" data-end=\"1879\"\u003eApplication Support: AI Models, Datasets, Vector Databases, RAG Workloads\u003cbr data-start=\"1952\" data-end=\"1955\"\u003eHigh-Speed Storage Access: Supported \u003cspan class=\"\" data-state=\"closed\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp data-start=\"2031\" data-end=\"2299\"\u003e\u003cstrong data-start=\"2031\" data-end=\"2060\"\u003eNetworking Specifications\u003c\/strong\u003e\u003cbr data-start=\"2060\" data-end=\"2063\"\u003eEthernet: 10GbE LAN\u003cbr data-start=\"2082\" data-end=\"2085\"\u003eSmartNIC: NVIDIA ConnectX-7\u003cbr data-start=\"2112\" data-end=\"2115\"\u003eWi-Fi: Wi-Fi 7\u003cbr data-start=\"2129\" data-end=\"2132\"\u003eBluetooth: Bluetooth 5.4\u003cbr data-start=\"2156\" data-end=\"2159\"\u003eMulti-System Scaling: Supported\u003cbr data-start=\"2190\" data-end=\"2193\"\u003eCluster Networking: Supported\u003cbr data-start=\"2222\" data-end=\"2225\"\u003eLow-Latency AI Networking: Supported \u003cspan class=\"\" data-state=\"closed\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp data-start=\"2301\" data-end=\"2647\"\u003e\u003cstrong data-start=\"2301\" data-end=\"2325\"\u003ePorts \u0026amp; Connectivity\u003c\/strong\u003e\u003cbr data-start=\"2325\" data-end=\"2328\"\u003eUSB-C Ports: 3 × USB 3.2 Gen 2x2 Type-C (20Gbps)\u003cbr data-start=\"2376\" data-end=\"2379\"\u003eUSB-C Power Input: 1 × USB-C PD Input\u003cbr data-start=\"2416\" data-end=\"2419\"\u003eDisplay Output: 1 × HDMI 2.1\u003cbr data-start=\"2447\" data-end=\"2450\"\u003eDisplayPort Support: DisplayPort 2.1 via USB-C Alt Mode\u003cbr data-start=\"2505\" data-end=\"2508\"\u003eNetwork Port: 1 × 10GbE RJ45\u003cbr data-start=\"2536\" data-end=\"2539\"\u003eSmartNIC Port: 1 × NVIDIA ConnectX-7\u003cbr data-start=\"2575\" data-end=\"2578\"\u003eKensington Lock Slot: Supported \u003cspan class=\"\" data-state=\"closed\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp data-start=\"2649\" data-end=\"3068\"\u003e\u003cstrong data-start=\"2649\" data-end=\"2678\"\u003eAI \u0026amp; Development Features\u003c\/strong\u003e\u003cbr data-start=\"2678\" data-end=\"2681\"\u003eAI Compute Performance: Up to 1 PetaFLOP FP4\u003cbr data-start=\"2725\" data-end=\"2728\"\u003eAI Development Platform: NVIDIA DGX Spark Ecosystem\u003cbr data-start=\"2779\" data-end=\"2782\"\u003eModel Fine-Tuning: Supported\u003cbr data-start=\"2810\" data-end=\"2813\"\u003eLocal Inference: Supported\u003cbr data-start=\"2839\" data-end=\"2842\"\u003eAgentic AI Development: Supported\u003cbr data-start=\"2875\" data-end=\"2878\"\u003eRAG Workloads: Supported\u003cbr data-start=\"2902\" data-end=\"2905\"\u003eDeep Learning Training: Supported\u003cbr data-start=\"2938\" data-end=\"2941\"\u003eMulti-Node AI Scaling: Supported\u003cbr data-start=\"2973\" data-end=\"2976\"\u003eDual GX10 Scaling: Supported via ConnectX-7 Networking \u003cspan class=\"\" data-state=\"closed\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp data-start=\"3070\" data-end=\"3347\"\u003e\u003cstrong data-start=\"3070\" data-end=\"3090\"\u003eSoftware Support\u003c\/strong\u003e\u003cbr data-start=\"3090\" data-end=\"3093\"\u003eOperating System: Ubuntu Linux\u003cbr data-start=\"3123\" data-end=\"3126\"\u003eDGX OS Support: Supported\u003cbr data-start=\"3151\" data-end=\"3154\"\u003eCUDA: Supported\u003cbr data-start=\"3169\" data-end=\"3172\"\u003ePyTorch: Supported\u003cbr data-start=\"3190\" data-end=\"3193\"\u003eTensorFlow: Supported\u003cbr data-start=\"3214\" data-end=\"3217\"\u003eTensorRT: Supported\u003cbr data-start=\"3236\" data-end=\"3239\"\u003eNVIDIA AI Enterprise Stack: Supported\u003cbr data-start=\"3276\" data-end=\"3279\"\u003eJupyter Notebooks: Supported \u003cspan class=\"\" data-state=\"closed\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp data-start=\"3349\" data-end=\"3630\"\u003e\u003cstrong data-start=\"3349\" data-end=\"3377\"\u003eCooling \u0026amp; Thermal Design\u003c\/strong\u003e\u003cbr data-start=\"3377\" data-end=\"3380\"\u003eCooling Technology: Advanced QuietFlow Cooling\u003cbr data-start=\"3426\" data-end=\"3429\"\u003eCooling System: Triple-Fan Design\u003cbr data-start=\"3462\" data-end=\"3465\"\u003eThermal Architecture: Dual Vapor Chamber Cooling\u003cbr data-start=\"3513\" data-end=\"3516\"\u003eLow Noise Operation: Supported\u003cbr data-start=\"3546\" data-end=\"3549\"\u003eContinuous AI Workload Support: Supported \u003cspan class=\"\" data-state=\"closed\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp data-start=\"3632\" data-end=\"3910\"\u003e\u003cstrong data-start=\"3632\" data-end=\"3657\"\u003eDesign \u0026amp; Construction\u003c\/strong\u003e\u003cbr data-start=\"3657\" data-end=\"3660\"\u003eColor: Stellar Grey\u003cbr data-start=\"3679\" data-end=\"3682\"\u003eForm Factor: Ultra-Small Desktop AI Supercomputer\u003cbr data-start=\"3731\" data-end=\"3734\"\u003eConstruction: Premium Metal Chassis\u003cbr data-start=\"3769\" data-end=\"3772\"\u003eDesktop Deployment: Supported\u003cbr data-start=\"3801\" data-end=\"3804\"\u003eResearch Lab Deployment: Supported\u003cbr data-start=\"3838\" data-end=\"3841\"\u003eEdge AI Deployment: Supported \u003cspan class=\"\" data-state=\"closed\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp data-start=\"3912\" data-end=\"4104\"\u003e\u003cstrong data-start=\"3912\" data-end=\"3944\"\u003eEnvironmental Specifications\u003c\/strong\u003e\u003cbr data-start=\"3944\" data-end=\"3947\"\u003ePower Supply: 240W External Adapter\u003cbr data-start=\"3982\" data-end=\"3985\"\u003ePower Input: USB-C PD 3.1 (180W EPR)\u003cbr data-start=\"4021\" data-end=\"4024\"\u003eEnergy Efficient AI Computing: Supported \u003cspan class=\"\" data-state=\"closed\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp data-start=\"4106\" data-end=\"4301\"\u003e\u003cstrong data-start=\"4106\" data-end=\"4133\"\u003ePhysical Specifications\u003c\/strong\u003e\u003cbr data-start=\"4133\" data-end=\"4136\"\u003eDimensions (W × D × H): 150 × 150 × 51 mm\u003cbr data-start=\"4177\" data-end=\"4180\"\u003eWeight: 1.48 kg\u003cbr data-start=\"4195\" data-end=\"4198\"\u003eForm Factor: Ultra-Compact Desktop System\u003cbr data-start=\"4239\" data-end=\"4242\"\u003eColor: Stellar Grey \u003cspan class=\"\" data-state=\"closed\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp data-start=\"4303\" data-end=\"4463\"\u003e\u003cstrong data-start=\"4303\" data-end=\"4323\"\u003ePackage Contents\u003c\/strong\u003e\u003cbr data-start=\"4323\" data-end=\"4326\"\u003eASUS Ascent GX10 AI Supercomputer\u003cbr data-start=\"4359\" data-end=\"4362\"\u003e240W Power Adapter\u003cbr data-start=\"4380\" data-end=\"4383\"\u003ePower Cord\u003cbr data-start=\"4393\" data-end=\"4396\"\u003eUser Manual\u003cbr data-start=\"4407\" data-end=\"4410\"\u003eWarranty Card \u003cspan class=\"\" data-state=\"closed\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp data-start=\"4465\" data-end=\"4902\"\u003e\u003cstrong data-start=\"4465\" data-end=\"4481\"\u003eKey Features\u003c\/strong\u003e\u003cbr data-start=\"4481\" data-end=\"4484\"\u003eNVIDIA GB10 Grace Blackwell Superchip\u003cbr data-start=\"4521\" data-end=\"4524\"\u003eUp to 1 PetaFLOP FP4 AI Performance\u003cbr data-start=\"4559\" data-end=\"4562\"\u003e128GB LPDDR5X Unified Memory\u003cbr data-start=\"4590\" data-end=\"4593\"\u003e4TB NVMe PCIe SSD\u003cbr data-start=\"4610\" data-end=\"4613\"\u003eNVIDIA Blackwell GPU Architecture\u003cbr data-start=\"4646\" data-end=\"4649\"\u003e10GbE Networking\u003cbr data-start=\"4665\" data-end=\"4668\"\u003eNVIDIA ConnectX-7 SmartNIC\u003cbr data-start=\"4694\" data-end=\"4697\"\u003eWi-Fi 7 and Bluetooth 5.4\u003cbr data-start=\"4722\" data-end=\"4725\"\u003eUbuntu Linux \/ DGX OS Support\u003cbr data-start=\"4754\" data-end=\"4757\"\u003eUltra-Compact 1.48kg Design\u003cbr data-start=\"4784\" data-end=\"4787\"\u003eSupports Up to 200B Parameter Models\u003cbr data-start=\"4823\" data-end=\"4826\"\u003eScalable Dual-System AI Architecture \u003cspan class=\"\" data-state=\"closed\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp data-start=\"4904\" data-end=\"5279\"\u003e\u003cstrong data-start=\"4904\" data-end=\"4925\"\u003eTypical Use Cases\u003c\/strong\u003e\u003cbr data-start=\"4925\" data-end=\"4928\"\u003eLarge Language Model Development\u003cbr data-start=\"4960\" data-end=\"4963\"\u003eAI Agent Development\u003cbr data-start=\"4983\" data-end=\"4986\"\u003eRAG and Vector Database Workloads\u003cbr data-start=\"5019\" data-end=\"5022\"\u003eDeep Learning Research\u003cbr data-start=\"5044\" data-end=\"5047\"\u003eMachine Learning Training\u003cbr data-start=\"5072\" data-end=\"5075\"\u003eAI Inference at the Edge\u003cbr data-start=\"5099\" data-end=\"5102\"\u003eData Science Projects\u003cbr data-start=\"5123\" data-end=\"5126\"\u003eUniversity and Research Labs\u003cbr data-start=\"5154\" data-end=\"5157\"\u003eGenerative AI Applications\u003cbr data-start=\"5183\" data-end=\"5186\"\u003eComputer Vision Workloads\u003cbr data-start=\"5211\" data-end=\"5214\"\u003eEnterprise AI Development \u003cspan class=\"\" data-state=\"closed\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp data-start=\"5281\" data-end=\"5387\"\u003e\u003cstrong data-start=\"5281\" data-end=\"5295\"\u003eGTIN \/ EAN\u003c\/strong\u003e\u003cbr data-start=\"5295\" data-end=\"5298\"\u003ePart Number: 90MS0371-M000Z0\u003cbr data-start=\"5326\" data-end=\"5329\"\u003eSKU: GX10-GG0031BN\u003c\/p\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":"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":"dell-pro-max-ai-desktop-pcs-with-nvidia-gb10-blackwell-gpu-2tb","title":"Dell Pro Max AI Desktop PCs with NVIDIA GB10 Blackwell GPU - 2TB","description":"\u003ch2\u003e\u003cstrong\u003eDell Pro Max GB10 FCM1253 NVIDIA GB10 Grace CPU \/NVIDIA GB10 Blackwell\/ 128GB LPDDR5\/ 2TB SSD\/ WIFI (DPMFCM1253GB10128G2TB) - 3 Years Onsite Warranty\u003c\/strong\u003e\u003c\/h2\u003e\n\u003cdiv style=\"text-align: left;\"\u003e\n\u003ch3 data-end=\"592\" data-start=\"122\"\u003e\u003cstrong data-end=\"161\" data-start=\"122\"\u003eHigh-Performance AI Computing Power\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp data-end=\"592\" data-start=\"122\"\u003eThe Dell Pro Max AI Desktop PC with NVIDIA GB10 Blackwell GPU is built for teams pushing intensive AI workloads, from generative AI pipelines to high-volume data processing. Its architecture delivers strong parallel throughput for model training, inference, simulations, and analytics that require consistent speed and low latency. This setup suits environments where fast iteration cycles and stable compute performance matter.\u003c\/p\u003e\n\u003ch3 data-end=\"1031\" data-start=\"594\"\u003e\u003cstrong data-end=\"640\" data-start=\"594\"\u003eNext-Gen NVIDIA Blackwell GPU Acceleration\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp data-end=\"1031\" data-start=\"594\"\u003eRunning on the NVIDIA GB10 Blackwell platform, the system handles multimodal AI, LLM fine-tuning, dense vector search, and rendering tasks with ease. The Blackwell architecture boosts performance per watt, improves memory bandwidth efficiency, and cuts processing latency. It’s tuned for production-grade AI workloads where quicker training turnaround and predictable performance are key.\u003c\/p\u003e\n\u003ch3 data-end=\"1464\" data-start=\"1033\"\u003e\u003cstrong data-end=\"1072\" data-start=\"1033\"\u003eOptimized Workflow and Multitasking\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp data-end=\"1464\" data-start=\"1033\"\u003eEngineered for heavy, concurrent workloads, the desktop maintains responsive performance while managing large datasets, model tests, and deployment builds. Developers and data teams can run multiple training jobs and background processes without workstation slowdowns. Its thermal and power engineering supports long continuous runtimes, ideal for overnight training or batch compute jobs.\u003c\/p\u003e\n\u003ch3 data-end=\"1861\" data-start=\"1466\"\u003e\u003cstrong data-end=\"1514\" data-start=\"1466\"\u003e2TB High-Speed NVMe Storage for AI Pipelines\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp data-end=\"1861\" data-start=\"1466\"\u003eEquipped with a 2TB NVMe SSD, the system offers fast read\/write speeds essential for dataset ingestion, caching, and model checkpointing. Large file transfers and multi-GB workloads load quickly, reducing bottlenecks and improving productivity for AI development cycles. This helps teams experiment faster and scale up data-intensive workflows.\u003c\/p\u003e\n\u003ch3 data-end=\"2243\" data-start=\"1863\"\u003e\u003cstrong data-end=\"1911\" data-start=\"1863\"\u003eEnterprise-Ready Reliability and Scalability\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp data-end=\"2243\" data-start=\"1863\"\u003eDesigned for long-term deployment, the Dell Pro Max AI Desktop PC fits into enterprise IT environments with secure connectivity, stable thermals, and future-ready upgrade paths. The chassis supports component expansion, ensuring organizations can scale compute resources as AI workloads grow while maintaining system reliability.\u003c\/p\u003e\n\u003ch3 data-end=\"2879\" data-start=\"2245\"\u003e\u003cstrong data-end=\"2294\" data-start=\"2245\"\u003eTechnical Specification \u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp data-start=\"72\" data-end=\"774\"\u003e\u003cstrong data-start=\"72\" data-end=\"83\"\u003eGeneral\u003c\/strong\u003e\u003cbr data-start=\"83\" data-end=\"86\"\u003eModel: Dell Pro Max with GB10\u003cbr data-start=\"115\" data-end=\"118\"\u003ePart Number: DPMFCM1253GB10128G2TB\u003cbr data-start=\"152\" data-end=\"155\"\u003eProduct Name: Dell Pro Max GB10 FCM1253 NVIDIA Grace Blackwell AI Workstation\u003cbr data-start=\"232\" data-end=\"235\"\u003eManufacturer: \u003cspan class=\"hover:entity-accent entity-underline inline cursor-pointer align-baseline\"\u003e\u003cspan class=\"whitespace-normal\"\u003eDell Technologies\u003c\/span\u003e\u003c\/span\u003e\u003cbr data-start=\"286\" data-end=\"289\"\u003eProduct Type: Personal AI Supercomputer \/ AI Workstation\u003cbr data-start=\"345\" data-end=\"348\"\u003eForm Factor: Compact Desktop AI System\u003cbr data-start=\"386\" data-end=\"389\"\u003eDeployment: Generative AI, AI Development, Large Language Models (LLM), Edge AI, AI Inferencing, Data Science\u003cbr data-start=\"498\" data-end=\"501\"\u003eArchitecture: NVIDIA Grace Blackwell Platform\u003cbr data-start=\"546\" data-end=\"549\"\u003eTarget Workloads: AI Model Development, LLM Fine-Tuning, AI Agents, Machine Learning, Deep Learning, Generative AI\u003cbr data-start=\"663\" data-end=\"666\"\u003eOperating System: NVIDIA DGX™ OS 7\u003cbr data-start=\"700\" data-end=\"703\"\u003eWarranty: 3 Years Onsite Warranty \u003cspan class=\"\" data-state=\"closed\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp data-start=\"776\" data-end=\"932\"\u003e\u003cstrong data-start=\"776\" data-end=\"804\"\u003eProcessor Specifications\u003c\/strong\u003e\u003cbr data-start=\"804\" data-end=\"807\"\u003eProcessor Architecture: NVIDIA GB10 Grace Blackwell Superchip\u003cbr data-start=\"868\" data-end=\"871\"\u003eCPU Type: Arm-Based AI Processor\u003cbr data-start=\"903\" data-end=\"906\"\u003eCPU Core Count: 20 Cores\u003c\/p\u003e\n\u003cp data-start=\"934\" data-end=\"1031\"\u003eCPU Configuration:\u003cbr data-start=\"952\" data-end=\"955\"\u003e• 10 x Cortex-X925 Performance Cores\u003cbr data-start=\"991\" data-end=\"994\"\u003e• 10 x Cortex-A725 Efficiency Cores\u003c\/p\u003e\n\u003cp data-start=\"1033\" data-end=\"1191\"\u003eCPU-GPU Interconnect: NVIDIA NVLink™-C2C\u003cbr data-start=\"1073\" data-end=\"1076\"\u003eAI Accelerated Computing: Supported\u003cbr data-start=\"1111\" data-end=\"1114\"\u003eUnified Compute Architecture: Supported \u003cspan class=\"\" data-state=\"closed\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp data-start=\"1193\" data-end=\"1651\"\u003e\u003cstrong data-start=\"1193\" data-end=\"1215\"\u003eGPU Specifications\u003c\/strong\u003e\u003cbr data-start=\"1215\" data-end=\"1218\"\u003eGPU Architecture: NVIDIA GB10 Blackwell GPU\u003cbr data-start=\"1261\" data-end=\"1264\"\u003eCUDA Cores: 6144 CUDA Cores\u003cbr data-start=\"1291\" data-end=\"1294\"\u003eTensor Core Generation: 5th Generation Tensor Cores\u003cbr data-start=\"1345\" data-end=\"1348\"\u003eRT Core Generation: 4th Generation RT Cores\u003cbr data-start=\"1391\" data-end=\"1394\"\u003eAI Performance: Up to 1 PetaFLOP FP4 AI Compute Performance\u003cbr data-start=\"1453\" data-end=\"1456\"\u003eAI Optimization: Supported\u003cbr data-start=\"1482\" data-end=\"1485\"\u003eGenerative AI Support: Supported\u003cbr data-start=\"1517\" data-end=\"1520\"\u003eLarge Language Model Processing: Supported\u003cbr data-start=\"1562\" data-end=\"1565\"\u003eSupports AI Models: Up to 200 Billion Parameters \u003cspan class=\"\" data-state=\"closed\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp data-start=\"1653\" data-end=\"1927\"\u003e\u003cstrong data-start=\"1653\" data-end=\"1678\"\u003eMemory Specifications\u003c\/strong\u003e\u003cbr data-start=\"1678\" data-end=\"1681\"\u003eMemory Type: LPDDR5X Unified Memory\u003cbr data-start=\"1716\" data-end=\"1719\"\u003eMemory Capacity: 128GB\u003cbr data-start=\"1741\" data-end=\"1744\"\u003eMemory Architecture: Unified CPU-GPU Shared Memory\u003cbr data-start=\"1794\" data-end=\"1797\"\u003eMemory Interface: 256-bit\u003cbr data-start=\"1822\" data-end=\"1825\"\u003eMemory Bandwidth: Up to 273 GB\/s\u003cbr data-start=\"1857\" data-end=\"1860\"\u003eMemory Speed: Up to 8533 MT\/s \u003cspan class=\"\" data-state=\"closed\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp data-start=\"1929\" data-end=\"2222\"\u003e\u003cstrong data-start=\"1929\" data-end=\"1955\"\u003eStorage Specifications\u003c\/strong\u003e\u003cbr data-start=\"1955\" data-end=\"1958\"\u003eStorage Capacity: 2TB\u003cbr data-start=\"1979\" data-end=\"1982\"\u003eStorage Type: M.2 PCIe Gen4 NVMe SSD\u003cbr data-start=\"2018\" data-end=\"2021\"\u003eStorage Architecture: High-Speed AI Optimized Storage\u003cbr data-start=\"2074\" data-end=\"2077\"\u003eSSD Configuration: TLC \/ QLC NVMe SSD depending on configuration\u003cbr data-start=\"2141\" data-end=\"2144\"\u003eSelf Encrypting Drive Support: Supported \u003cspan class=\"\" data-state=\"closed\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp data-start=\"2224\" data-end=\"2410\"\u003e\u003cstrong data-start=\"2224\" data-end=\"2253\"\u003eNetworking Specifications\u003c\/strong\u003e\u003cbr data-start=\"2253\" data-end=\"2256\"\u003eNetwork Technology: NVIDIA ConnectX®-7 SmartNIC\u003cbr data-start=\"2303\" data-end=\"2306\"\u003eHigh-Speed Networking: Supported\u003cbr data-start=\"2338\" data-end=\"2341\"\u003eLow-Latency Networking: Supported\u003cbr data-start=\"2374\" data-end=\"2377\"\u003eAI Cluster Expansion: Supported\u003c\/p\u003e\n\u003cp data-start=\"2412\" data-end=\"2585\"\u003eSupported Features:\u003cbr data-start=\"2431\" data-end=\"2434\"\u003e• ConnectX®-7 AI Networking\u003cbr data-start=\"2461\" data-end=\"2464\"\u003e• Distributed AI Processing\u003cbr data-start=\"2491\" data-end=\"2494\"\u003e• Multi-System AI Scaling\u003cbr data-start=\"2519\" data-end=\"2522\"\u003e• High Bandwidth AI Communication\u003cbr data-start=\"2555\" data-end=\"2558\"\u003e• AI Cluster Connectivity\u003c\/p\u003e\n\u003cp data-start=\"2587\" data-end=\"2692\"\u003eDual System Expansion: Supported via NVIDIA high-speed interconnect \u003cspan class=\"\" data-state=\"closed\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp data-start=\"2694\" data-end=\"2859\"\u003e\u003cstrong data-start=\"2694\" data-end=\"2719\"\u003eWireless Connectivity\u003c\/strong\u003e\u003cbr data-start=\"2719\" data-end=\"2722\"\u003eWireless LAN: Wi-Fi 7\u003cbr data-start=\"2743\" data-end=\"2746\"\u003eBluetooth: Bluetooth 5 Wireless Technology\u003cbr data-start=\"2788\" data-end=\"2791\"\u003eWireless Networking: Supported \u003cspan class=\"\" data-state=\"closed\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp data-start=\"2861\" data-end=\"2964\"\u003e\u003cstrong data-start=\"2861\" data-end=\"2877\"\u003eConnectivity\u003c\/strong\u003e\u003cbr data-start=\"2877\" data-end=\"2880\"\u003ePorts:\u003cbr data-start=\"2886\" data-end=\"2889\"\u003e• USB-C Ports\u003cbr data-start=\"2902\" data-end=\"2905\"\u003e• USB-A Ports\u003cbr data-start=\"2918\" data-end=\"2921\"\u003e• HDMI\u003cbr data-start=\"2927\" data-end=\"2930\"\u003e• DisplayPort\u003cbr data-start=\"2943\" data-end=\"2946\"\u003e• RJ-45 Ethernet\u003c\/p\u003e\n\u003cp data-start=\"2966\" data-end=\"3135\"\u003eDisplay Support: Multi-Monitor Support\u003cbr data-start=\"3004\" data-end=\"3007\"\u003eDisplay Output: Up to 4 Displays Supported\u003cbr data-start=\"3049\" data-end=\"3052\"\u003eHigh-Speed Peripheral Connectivity: Supported \u003cspan class=\"\" data-state=\"closed\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp data-start=\"3137\" data-end=\"3202\"\u003e\u003cstrong data-start=\"3137\" data-end=\"3163\"\u003eSoftware \u0026amp; AI Platform\u003c\/strong\u003e\u003cbr data-start=\"3163\" data-end=\"3166\"\u003eOperating System: NVIDIA DGX™ OS 7\u003c\/p\u003e\n\u003cp data-start=\"3204\" data-end=\"3443\"\u003eSupported AI Functions:\u003cbr data-start=\"3227\" data-end=\"3230\"\u003e• AI Model Development\u003cbr data-start=\"3252\" data-end=\"3255\"\u003e• AI Fine-Tuning\u003cbr data-start=\"3271\" data-end=\"3274\"\u003e• AI Inferencing\u003cbr data-start=\"3290\" data-end=\"3293\"\u003e• AI Agent Development\u003cbr data-start=\"3315\" data-end=\"3318\"\u003e• Generative AI Workflows\u003cbr data-start=\"3343\" data-end=\"3346\"\u003e• Large Language Model Deployment\u003cbr data-start=\"3379\" data-end=\"3382\"\u003e• Machine Learning Development\u003cbr data-start=\"3412\" data-end=\"3415\"\u003e• Multimodal AI Processing\u003c\/p\u003e\n\u003cp data-start=\"3445\" data-end=\"3652\"\u003eAI Resource Management: Supported\u003cbr data-start=\"3478\" data-end=\"3481\"\u003eSystem Monitoring: Supported\u003cbr data-start=\"3509\" data-end=\"3512\"\u003eCUDA Development Environment: Supported\u003cbr data-start=\"3551\" data-end=\"3554\"\u003eTensorFlow Support: Supported\u003cbr data-start=\"3583\" data-end=\"3586\"\u003ePyTorch Support: Supported \u003cspan class=\"\" data-state=\"closed\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp data-start=\"3654\" data-end=\"4166\"\u003e\u003cstrong data-start=\"3654\" data-end=\"3680\"\u003ePerformance \u0026amp; Features\u003c\/strong\u003e\u003cbr data-start=\"3680\" data-end=\"3683\"\u003eUp to 1 PetaFLOP AI compute performance\u003cbr data-start=\"3722\" data-end=\"3725\"\u003eSupports up to 200B parameter AI models\u003cbr data-start=\"3764\" data-end=\"3767\"\u003eUnified memory architecture for accelerated AI workloads\u003cbr data-start=\"3823\" data-end=\"3826\"\u003eOptimized for local LLM inferencing and fine-tuning\u003cbr data-start=\"3877\" data-end=\"3880\"\u003eDesigned for enterprise AI development environments\u003cbr data-start=\"3931\" data-end=\"3934\"\u003eHigh-speed CPU-GPU communication through NVLink™-C2C\u003cbr data-start=\"3986\" data-end=\"3989\"\u003eSupports AI cluster scaling and distributed workloads\u003cbr data-start=\"4042\" data-end=\"4045\"\u003eLow latency AI processing architecture\u003cbr data-start=\"4083\" data-end=\"4086\"\u003eEnterprise-grade AI workstation platform \u003cspan class=\"\" data-state=\"closed\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp data-start=\"4168\" data-end=\"4423\"\u003e\u003cstrong data-start=\"4168\" data-end=\"4196\"\u003eCooling \u0026amp; Thermal Design\u003c\/strong\u003e\u003cbr data-start=\"4196\" data-end=\"4199\"\u003eCooling Type: Advanced Active Cooling System\u003cbr data-start=\"4243\" data-end=\"4246\"\u003eThermal Optimization: AI Workload Optimized\u003cbr data-start=\"4289\" data-end=\"4292\"\u003eHigh Efficiency Cooling Architecture: Supported\u003cbr data-start=\"4339\" data-end=\"4342\"\u003eContinuous AI Workload Support: Supported \u003cspan class=\"\" data-state=\"closed\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp data-start=\"4425\" data-end=\"4664\"\u003e\u003cstrong data-start=\"4425\" data-end=\"4446\"\u003eSecurity Features\u003c\/strong\u003e\u003cbr data-start=\"4446\" data-end=\"4449\"\u003eSelf Encrypting Storage Support\u003cbr data-start=\"4480\" data-end=\"4483\"\u003eEnterprise Data Protection Support\u003cbr data-start=\"4517\" data-end=\"4520\"\u003eLocal AI Processing Capability\u003cbr data-start=\"4550\" data-end=\"4553\"\u003eSecure AI Development Environment\u003cbr data-start=\"4586\" data-end=\"4589\"\u003eData Privacy Optimized Architecture \u003cspan class=\"\" data-state=\"closed\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp data-start=\"4666\" data-end=\"4964\"\u003e\u003cstrong data-start=\"4666\" data-end=\"4691\"\u003eDesign \u0026amp; Construction\u003c\/strong\u003e\u003cbr data-start=\"4691\" data-end=\"4694\"\u003eForm Factor: Compact Desktop AI Workstation\u003cbr data-start=\"4737\" data-end=\"4740\"\u003eChassis Type: Dell Pro Max GB10 Chassis\u003cbr data-start=\"4779\" data-end=\"4782\"\u003eDeployment Environment: Enterprise AI Development, Research Labs, Edge AI, Data Science\u003cbr data-start=\"4869\" data-end=\"4872\"\u003eConstruction: Enterprise Grade AI Computing Platform \u003cspan class=\"\" data-state=\"closed\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp data-start=\"4966\" data-end=\"5135\"\u003e\u003cstrong data-start=\"4966\" data-end=\"4986\"\u003ePackage Contents\u003c\/strong\u003e\u003cbr data-start=\"4986\" data-end=\"4989\"\u003eDell Pro Max GB10 AI Workstation\u003cbr data-start=\"5021\" data-end=\"5024\"\u003ePower Adapter\u003cbr data-start=\"5037\" data-end=\"5040\"\u003ePower Cord\u003cbr data-start=\"5050\" data-end=\"5053\"\u003eDocumentation\u003cbr data-start=\"5066\" data-end=\"5069\"\u003ePreloaded NVIDIA DGX™ OS 7 \u003cspan class=\"\" data-state=\"closed\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp data-start=\"5137\" data-end=\"5521\"\u003e\u003cstrong data-start=\"5137\" data-end=\"5153\"\u003eKey Features\u003c\/strong\u003e\u003cbr data-start=\"5153\" data-end=\"5156\"\u003eNVIDIA GB10 Grace Blackwell Superchip\u003cbr data-start=\"5193\" data-end=\"5196\"\u003e128GB LPDDR5X unified memory\u003cbr data-start=\"5224\" data-end=\"5227\"\u003e2TB PCIe Gen4 NVMe SSD\u003cbr data-start=\"5249\" data-end=\"5252\"\u003e6144 CUDA cores\u003cbr data-start=\"5267\" data-end=\"5270\"\u003eUp to 1 PetaFLOP AI performance\u003cbr data-start=\"5301\" data-end=\"5304\"\u003eSupports up to 200B parameter AI models\u003cbr data-start=\"5343\" data-end=\"5346\"\u003eNVIDIA ConnectX®-7 SmartNIC\u003cbr data-start=\"5373\" data-end=\"5376\"\u003eNVIDIA DGX™ OS 7 preloaded\u003cbr data-start=\"5402\" data-end=\"5405\"\u003eWi-Fi 7 and Bluetooth connectivity\u003cbr data-start=\"5439\" data-end=\"5442\"\u003eCompact desktop AI supercomputer design \u003cspan class=\"\" data-state=\"closed\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp data-start=\"5523\" data-end=\"5870\"\u003e\u003cstrong data-start=\"5523\" data-end=\"5544\"\u003eTypical Use Cases\u003c\/strong\u003e\u003cbr data-start=\"5544\" data-end=\"5547\"\u003eLarge Language Model (LLM) deployment\u003cbr data-start=\"5584\" data-end=\"5587\"\u003eGenerative AI development\u003cbr data-start=\"5612\" data-end=\"5615\"\u003eAI inferencing workloads\u003cbr data-start=\"5639\" data-end=\"5642\"\u003eAI model fine-tuning\u003cbr data-start=\"5662\" data-end=\"5665\"\u003eMachine learning development\u003cbr data-start=\"5693\" data-end=\"5696\"\u003eData science environments\u003cbr data-start=\"5721\" data-end=\"5724\"\u003eEnterprise AI prototyping\u003cbr data-start=\"5749\" data-end=\"5752\"\u003eEdge AI deployment\u003cbr data-start=\"5770\" data-end=\"5773\"\u003ePrivate on-premise AI computing\u003cbr data-start=\"5804\" data-end=\"5807\"\u003eDistributed AI clusters\u003c\/p\u003e\n\u003c\/div\u003e","brand":"Dell","offers":[{"title":"Default Title","offer_id":51198140514468,"sku":"DPMFCM1253GB10128G2TB","price":9735.0,"currency_code":"SGD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0605\/0136\/0804\/files\/dell-pro-max-ai-desktop-pcs-with-nvidia-gb10-blackwell-gpu-4tb-8810604.png?v=1765505830"},{"product_id":"dell-pro-max-ai-desktop-pcs-with-nvidia-gb10-blackwell-gpu-4tb","title":"Dell Pro Max AI Desktop PCs with NVIDIA GB10 Blackwell GPU - 4TB","description":"\u003ch2\u003e\u003cstrong\u003eDell Pro Max GB10 FCM1253 NVIDIA GB10 Grace CPU\/ NVIDIA GB10 Blackwell\/ 128GB LPDDR5\/ 4TB SSD\/ WIFI (DPMFCM1253GB10128G4TB) - 3 Years Onsite Warranty\u003c\/strong\u003e\u003c\/h2\u003e\n\u003cdiv style=\"text-align: left;\"\u003e\n\u003ch3 data-start=\"140\" data-end=\"592\"\u003e\u003cstrong data-start=\"140\" data-end=\"198\"\u003eHigh-Performance AI Acceleration for Serious Workloads\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp data-start=\"140\" data-end=\"592\"\u003eThe Dell Pro Max AI Desktop PC with NVIDIA GB10 Blackwell GPU is built for organisations handling demanding AI development, large language model training, and high-volume inference pipelines. Its workstation-grade architecture prioritises stability and sustained compute performance, delivering reliable throughput for parallel processing, simulation, and long continuous runtime operations.\u003c\/p\u003e\n\u003ch3 data-start=\"594\" data-end=\"1051\"\u003e\u003cstrong data-start=\"594\" data-end=\"641\"\u003eNVIDIA GB10 Blackwell GPU for Next-Level AI\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp data-start=\"594\" data-end=\"1051\"\u003ePowered by the next-generation NVIDIA GB10 Blackwell GPU, this system accelerates generative AI models, multimodal vision-language tasks, scientific simulations, and large-scale data analytics. Blackwell architecture enhances compute density, memory bandwidth efficiency, and latency reduction—ideal for teams that require rapid iteration, reduced training time, and consistent production-level performance.\u003c\/p\u003e\n\u003ch3 data-start=\"1053\" data-end=\"1554\"\u003e\u003cstrong data-start=\"1053\" data-end=\"1107\"\u003eOptimised for Multitasking and Developer Workflows\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp data-start=\"1053\" data-end=\"1554\"\u003eDesigned for heavy concurrent workloads, the system runs multiple frameworks and pipelines smoothly—whether you're training models, preparing datasets, running inference servers, or testing deployment builds locally. Its thermal system and power management maintain sustained performance during peak loads, making it suitable for research labs, engineering teams, and enterprise AI developers who rely on predictable workstation responsiveness.\u003c\/p\u003e\n\u003ch3 data-start=\"1556\" data-end=\"2006\"\u003e\u003cstrong data-start=\"1556\" data-end=\"1604\"\u003e4TB High-Speed NVMe Storage for AI Pipelines\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp data-start=\"1556\" data-end=\"2006\"\u003eThe 4TB NVMe SSD delivers fast access speeds for large datasets, embeddings, multimodal assets, and model checkpoint files. High throughput reduces delays in preprocessing, caching, and loading, allowing teams to iterate faster across complex AI workflow cycles. The expanded capacity supports extensive storage requirements for LLM fine-tuning, diffusion models, and high-resolution data pipelines.\u003c\/p\u003e\n\u003ch3 data-start=\"2008\" data-end=\"2430\"\u003e\u003cstrong data-start=\"2008\" data-end=\"2052\"\u003eReliable, Scalable, and Enterprise Ready\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp data-start=\"2008\" data-end=\"2430\"\u003eBuilt for long-term operational environments, the Dell Pro Max AI Desktop PC integrates securely into enterprise infrastructure. Its upgrade-friendly chassis supports future expansion of storage, memory, and accelerators. Stable thermals, long-lifecycle components, and enterprise-grade power delivery ensure dependable performance for organisations scaling up AI operations.\u003c\/p\u003e\n\u003ch3 data-start=\"2432\" data-end=\"3126\"\u003e\u003cstrong data-start=\"2432\" data-end=\"2481\"\u003eTechnical Specification \u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp data-start=\"72\" data-end=\"702\"\u003e\u003cstrong data-start=\"72\" data-end=\"83\"\u003eGeneral\u003c\/strong\u003e\u003cbr data-start=\"83\" data-end=\"86\"\u003eModel: Dell Pro Max with GB10\u003cbr data-start=\"115\" data-end=\"118\"\u003ePart Number: DPMFCM1253GB10128G4TB\u003cbr data-start=\"152\" data-end=\"155\"\u003eProduct Name: Dell Pro Max GB10 FCM1253 NVIDIA Grace Blackwell AI Workstation\u003cbr data-start=\"232\" data-end=\"235\"\u003eManufacturer: \u003cspan class=\"hover:entity-accent entity-underline inline cursor-pointer align-baseline\"\u003e\u003cspan class=\"whitespace-normal\"\u003eDell Technologies\u003c\/span\u003e\u003c\/span\u003e\u003cbr data-start=\"286\" data-end=\"289\"\u003eProduct Type: Personal AI Supercomputer \/ AI Workstation\u003cbr data-start=\"345\" data-end=\"348\"\u003eForm Factor: Compact Desktop AI System\u003cbr data-start=\"386\" data-end=\"389\"\u003eDeployment: Generative AI, Large Language Models (LLM), AI Development, Edge AI, AI Inferencing, Data Science\u003cbr data-start=\"498\" data-end=\"501\"\u003eArchitecture: NVIDIA Grace Blackwell Platform\u003cbr data-start=\"546\" data-end=\"549\"\u003eTarget Workloads: AI Model Development, LLM Fine-Tuning, AI Agents, Machine Learning, Deep Learning, Generative AI\u003cbr data-start=\"663\" data-end=\"666\"\u003eOperating System: NVIDIA DGX™ OS 7\u003c\/p\u003e\n\u003cp data-start=\"704\" data-end=\"860\"\u003e\u003cstrong data-start=\"704\" data-end=\"732\"\u003eProcessor Specifications\u003c\/strong\u003e\u003cbr data-start=\"732\" data-end=\"735\"\u003eProcessor Architecture: NVIDIA GB10 Grace Blackwell Superchip\u003cbr data-start=\"796\" data-end=\"799\"\u003eCPU Type: Arm-Based AI Processor\u003cbr data-start=\"831\" data-end=\"834\"\u003eCPU Core Count: 20 Cores\u003c\/p\u003e\n\u003cp data-start=\"862\" data-end=\"959\"\u003eCPU Configuration:\u003cbr data-start=\"880\" data-end=\"883\"\u003e• 10 x Cortex-X925 Performance Cores\u003cbr data-start=\"919\" data-end=\"922\"\u003e• 10 x Cortex-A725 Efficiency Cores\u003c\/p\u003e\n\u003cp data-start=\"961\" data-end=\"1153\"\u003eProcessor Cache: 16MB L2 Cache\u003cbr data-start=\"991\" data-end=\"994\"\u003eCPU-GPU Interconnect: NVIDIA NVLink™-C2C\u003cbr data-start=\"1034\" data-end=\"1037\"\u003eAI Accelerated Computing: Supported\u003cbr data-start=\"1072\" data-end=\"1075\"\u003eUnified Compute Architecture: Supported \u003cspan class=\"\" data-state=\"closed\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp data-start=\"1155\" data-end=\"1597\"\u003e\u003cstrong data-start=\"1155\" data-end=\"1177\"\u003eGPU Specifications\u003c\/strong\u003e\u003cbr data-start=\"1177\" data-end=\"1180\"\u003eGPU Architecture: NVIDIA GB10 Blackwell GPU\u003cbr data-start=\"1223\" data-end=\"1226\"\u003eCUDA Cores: 6144 CUDA Cores\u003cbr data-start=\"1253\" data-end=\"1256\"\u003eTensor Core Generation: 5th Generation Tensor Cores\u003cbr data-start=\"1307\" data-end=\"1310\"\u003eRT Core Generation: 4th Generation RT Cores\u003cbr data-start=\"1353\" data-end=\"1356\"\u003eAI Compute Performance: Up to 1 PetaFLOP FP4 AI Performance\u003cbr data-start=\"1415\" data-end=\"1418\"\u003eAI Optimization: Supported\u003cbr data-start=\"1444\" data-end=\"1447\"\u003eGenerative AI Support: Supported\u003cbr data-start=\"1479\" data-end=\"1482\"\u003eLLM Processing: Supported\u003cbr data-start=\"1507\" data-end=\"1510\"\u003eSupports AI Models: Up to 200 Billion Parameters \u003cspan class=\"\" data-state=\"closed\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp data-start=\"1599\" data-end=\"1851\"\u003e\u003cstrong data-start=\"1599\" data-end=\"1624\"\u003eMemory Specifications\u003c\/strong\u003e\u003cbr data-start=\"1624\" data-end=\"1627\"\u003eMemory Type: LPDDR5X Unified Memory\u003cbr data-start=\"1662\" data-end=\"1665\"\u003eMemory Capacity: 128GB\u003cbr data-start=\"1687\" data-end=\"1690\"\u003eMemory Architecture: Coherent Unified CPU-GPU Shared Memory\u003cbr data-start=\"1749\" data-end=\"1752\"\u003eMemory Bandwidth: Up to 273 GB\/s\u003cbr data-start=\"1784\" data-end=\"1787\"\u003eMemory Interface: 256-bit \u003cspan class=\"\" data-state=\"closed\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp data-start=\"1853\" data-end=\"2103\"\u003e\u003cstrong data-start=\"1853\" data-end=\"1879\"\u003eStorage Specifications\u003c\/strong\u003e\u003cbr data-start=\"1879\" data-end=\"1882\"\u003eStorage Capacity: 4TB\u003cbr data-start=\"1903\" data-end=\"1906\"\u003eStorage Type: M.2 2242 PCIe Gen4 NVMe SSD\u003cbr data-start=\"1947\" data-end=\"1950\"\u003eSSD Type: TLC SSD\u003cbr data-start=\"1967\" data-end=\"1970\"\u003eSelf Encrypting Drive (SED): Supported\u003cbr data-start=\"2008\" data-end=\"2011\"\u003eStorage Architecture: High-Speed AI Optimized Storage \u003cspan class=\"\" data-state=\"closed\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp data-start=\"2105\" data-end=\"2294\"\u003e\u003cstrong data-start=\"2105\" data-end=\"2134\"\u003eNetworking Specifications\u003c\/strong\u003e\u003cbr data-start=\"2134\" data-end=\"2137\"\u003eNetwork Technology: NVIDIA ConnectX®-7 SmartNIC\u003cbr data-start=\"2184\" data-end=\"2187\"\u003eHigh-Speed Networking: Supported\u003cbr data-start=\"2219\" data-end=\"2222\"\u003eLow-Latency AI Networking: Supported\u003cbr data-start=\"2258\" data-end=\"2261\"\u003eAI Cluster Expansion: Supported\u003c\/p\u003e\n\u003cp data-start=\"2296\" data-end=\"2507\"\u003eSupported Features:\u003cbr data-start=\"2315\" data-end=\"2318\"\u003e• Multi-System Scaling\u003cbr data-start=\"2340\" data-end=\"2343\"\u003e• AI Cluster Connectivity\u003cbr data-start=\"2368\" data-end=\"2371\"\u003e• High Bandwidth AI Networking\u003cbr data-start=\"2401\" data-end=\"2404\"\u003e• Distributed AI Processing\u003cbr data-start=\"2431\" data-end=\"2434\"\u003e• Dual-System Interconnect Support \u003cspan class=\"\" data-state=\"closed\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp data-start=\"2509\" data-end=\"2677\"\u003e\u003cstrong data-start=\"2509\" data-end=\"2534\"\u003eWireless Connectivity\u003c\/strong\u003e\u003cbr data-start=\"2534\" data-end=\"2537\"\u003eWireless LAN: Wi-Fi 7\u003cbr data-start=\"2558\" data-end=\"2561\"\u003eBluetooth: Bluetooth 5.x Wireless Technology\u003cbr data-start=\"2605\" data-end=\"2608\"\u003eWireless Networking: Supported \u003cspan class=\"\" data-state=\"closed\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp data-start=\"2679\" data-end=\"2740\"\u003e\u003cstrong data-start=\"2679\" data-end=\"2695\"\u003eConnectivity\u003c\/strong\u003e\u003cbr data-start=\"2695\" data-end=\"2698\"\u003eUSB Ports:\u003cbr data-start=\"2708\" data-end=\"2711\"\u003e• 3 x USB 3.2 Gen2x2 Type-C\u003c\/p\u003e\n\u003cp data-start=\"2742\" data-end=\"2888\"\u003eUSB Speed: Up to 20Gbps\u003cbr data-start=\"2765\" data-end=\"2768\"\u003eDisplay Output Support: Supported\u003cbr data-start=\"2801\" data-end=\"2804\"\u003eHigh-Speed Peripheral Connectivity: Supported \u003cspan class=\"\" data-state=\"closed\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp data-start=\"2890\" data-end=\"2955\"\u003e\u003cstrong data-start=\"2890\" data-end=\"2916\"\u003eSoftware \u0026amp; AI Platform\u003c\/strong\u003e\u003cbr data-start=\"2916\" data-end=\"2919\"\u003eOperating System: NVIDIA DGX™ OS 7\u003c\/p\u003e\n\u003cp data-start=\"2957\" data-end=\"3167\"\u003eSupported AI Functions:\u003cbr data-start=\"2980\" data-end=\"2983\"\u003e• AI Model Development\u003cbr data-start=\"3005\" data-end=\"3008\"\u003e• AI Fine-Tuning\u003cbr data-start=\"3024\" data-end=\"3027\"\u003e• AI Inferencing\u003cbr data-start=\"3043\" data-end=\"3046\"\u003e• Generative AI Workflows\u003cbr data-start=\"3071\" data-end=\"3074\"\u003e• AI Agent Development\u003cbr data-start=\"3096\" data-end=\"3099\"\u003e• Large Language Model Deployment\u003cbr data-start=\"3132\" data-end=\"3135\"\u003e• Machine Learning Development\u003c\/p\u003e\n\u003cp data-start=\"3169\" data-end=\"3312\"\u003eAI Development Environment: Supported\u003cbr data-start=\"3206\" data-end=\"3209\"\u003eAI Resource Management: Supported\u003cbr data-start=\"3242\" data-end=\"3245\"\u003eSystem Monitoring: Supported \u003cspan class=\"\" data-state=\"closed\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp data-start=\"3314\" data-end=\"3779\"\u003e\u003cstrong data-start=\"3314\" data-end=\"3340\"\u003ePerformance \u0026amp; Features\u003c\/strong\u003e\u003cbr data-start=\"3340\" data-end=\"3343\"\u003eUp to 1 PetaFLOP AI compute performance\u003cbr data-start=\"3382\" data-end=\"3385\"\u003eSupports up to 200B parameter AI models\u003cbr data-start=\"3424\" data-end=\"3427\"\u003eUnified memory architecture for accelerated AI workloads\u003cbr data-start=\"3483\" data-end=\"3486\"\u003eOptimized for local LLM inferencing and fine-tuning\u003cbr data-start=\"3537\" data-end=\"3540\"\u003eDesigned for enterprise AI development environments\u003cbr data-start=\"3591\" data-end=\"3594\"\u003eHigh-speed CPU-GPU communication via NVLink™-C2C\u003cbr data-start=\"3642\" data-end=\"3645\"\u003eCompact AI supercomputer architecture\u003cbr data-start=\"3682\" data-end=\"3685\"\u003eSupports AI cluster scaling and distributed workloads \u003cspan class=\"\" data-state=\"closed\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp data-start=\"3781\" data-end=\"4031\"\u003e\u003cstrong data-start=\"3781\" data-end=\"3809\"\u003eCooling \u0026amp; Thermal Design\u003c\/strong\u003e\u003cbr data-start=\"3809\" data-end=\"3812\"\u003eCooling Type: Advanced Active Cooling System\u003cbr data-start=\"3856\" data-end=\"3859\"\u003eThermal Optimization: AI Workload Optimized\u003cbr data-start=\"3902\" data-end=\"3905\"\u003eCompact Airflow Design: Supported\u003cbr data-start=\"3938\" data-end=\"3941\"\u003eEnterprise Continuous Workload Support: Supported \u003cspan class=\"\" data-state=\"closed\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp data-start=\"4033\" data-end=\"4269\"\u003e\u003cstrong data-start=\"4033\" data-end=\"4054\"\u003eSecurity Features\u003c\/strong\u003e\u003cbr data-start=\"4054\" data-end=\"4057\"\u003eSelf Encrypting SSD Support\u003cbr data-start=\"4084\" data-end=\"4087\"\u003eEnterprise Data Protection Support\u003cbr data-start=\"4121\" data-end=\"4124\"\u003eLocal AI Processing Capability\u003cbr data-start=\"4154\" data-end=\"4157\"\u003eSecure AI Development Environment\u003cbr data-start=\"4190\" data-end=\"4193\"\u003eData Privacy Optimized Architecture \u003cspan class=\"\" data-state=\"closed\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp data-start=\"4271\" data-end=\"4600\"\u003e\u003cstrong data-start=\"4271\" data-end=\"4296\"\u003eDesign \u0026amp; Construction\u003c\/strong\u003e\u003cbr data-start=\"4296\" data-end=\"4299\"\u003eForm Factor: Compact Desktop AI Workstation\u003cbr data-start=\"4342\" data-end=\"4345\"\u003eChassis Type: Dell Pro Max GB10 L6 Chassis\u003cbr data-start=\"4387\" data-end=\"4390\"\u003eColor: Black \/ Magnetite\u003cbr data-start=\"4414\" data-end=\"4417\"\u003eDeployment Environment: Enterprise AI Development, Data Science, Research Labs, Edge AI\u003cbr data-start=\"4504\" data-end=\"4507\"\u003eConstruction: Enterprise Grade AI Computing Platform \u003cspan class=\"\" data-state=\"closed\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp data-start=\"4602\" data-end=\"4701\"\u003e\u003cstrong data-start=\"4602\" data-end=\"4629\"\u003ePhysical Specifications\u003c\/strong\u003e\u003cbr data-start=\"4629\" data-end=\"4632\"\u003eDimensions:\u003cbr data-start=\"4643\" data-end=\"4646\"\u003e• Width: 150 mm\u003cbr data-start=\"4661\" data-end=\"4664\"\u003e• Height: 50.5 mm\u003cbr data-start=\"4681\" data-end=\"4684\"\u003e• Depth: 150 mm\u003c\/p\u003e\n\u003cp data-start=\"4703\" data-end=\"4766\"\u003eWeight: Approx. 1.2 kg \u003cspan class=\"\" data-state=\"closed\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp data-start=\"4768\" data-end=\"4938\"\u003e\u003cstrong data-start=\"4768\" data-end=\"4788\"\u003ePackage Contents\u003c\/strong\u003e\u003cbr data-start=\"4788\" data-end=\"4791\"\u003eDell Pro Max GB10 AI Workstation\u003cbr data-start=\"4823\" data-end=\"4826\"\u003ePower Adapter\u003cbr data-start=\"4839\" data-end=\"4842\"\u003ePower Cord\u003cbr data-start=\"4852\" data-end=\"4855\"\u003eDocumentation\u003cbr data-start=\"4868\" data-end=\"4871\"\u003ePreloaded NVIDIA DGX™ OS 7 \u003cspan class=\"\" data-state=\"closed\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp data-start=\"4940\" data-end=\"5322\"\u003e\u003cstrong data-start=\"4940\" data-end=\"4956\"\u003eKey Features\u003c\/strong\u003e\u003cbr data-start=\"4956\" data-end=\"4959\"\u003eNVIDIA GB10 Grace Blackwell Superchip\u003cbr data-start=\"4996\" data-end=\"4999\"\u003e128GB LPDDR5X unified memory\u003cbr data-start=\"5027\" data-end=\"5030\"\u003e4TB PCIe Gen4 NVMe SSD\u003cbr data-start=\"5052\" data-end=\"5055\"\u003e6144 CUDA cores\u003cbr data-start=\"5070\" data-end=\"5073\"\u003eUp to 1 PetaFLOP AI performance\u003cbr data-start=\"5104\" data-end=\"5107\"\u003eSupports up to 200B parameter AI models\u003cbr data-start=\"5146\" data-end=\"5149\"\u003eNVIDIA ConnectX®-7 networking\u003cbr data-start=\"5178\" data-end=\"5181\"\u003eNVIDIA DGX™ OS 7 preloaded\u003cbr data-start=\"5207\" data-end=\"5210\"\u003eWi-Fi 7 and Bluetooth support\u003cbr data-start=\"5239\" data-end=\"5242\"\u003eCompact desktop AI supercomputer design \u003cspan class=\"\" data-state=\"closed\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp data-start=\"5324\" data-end=\"5672\"\u003e\u003cstrong data-start=\"5324\" data-end=\"5345\"\u003eTypical Use Cases\u003c\/strong\u003e\u003cbr data-start=\"5345\" data-end=\"5348\"\u003eLarge Language Model (LLM) deployment\u003cbr data-start=\"5385\" data-end=\"5388\"\u003eGenerative AI development\u003cbr data-start=\"5413\" data-end=\"5416\"\u003eAI inferencing workloads\u003cbr data-start=\"5440\" data-end=\"5443\"\u003eAI model fine-tuning\u003cbr data-start=\"5463\" data-end=\"5466\"\u003eMachine learning development\u003cbr data-start=\"5494\" data-end=\"5497\"\u003eData science environments\u003cbr data-start=\"5522\" data-end=\"5525\"\u003eEnterprise AI prototyping\u003cbr data-start=\"5550\" data-end=\"5553\"\u003eEdge AI deployment\u003cbr data-start=\"5571\" data-end=\"5574\"\u003ePrivate on-premise AI computing\u003cbr data-start=\"5605\" data-end=\"5608\"\u003eDistributed AI clusters\u003c\/p\u003e\n\u003c\/div\u003e","brand":"Dell","offers":[{"title":"Default Title","offer_id":51198141071524,"sku":"DPMFCM1253GB10128G4TB","price":10385.0,"currency_code":"SGD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0605\/0136\/0804\/files\/dell-pro-max-ai-desktop-pcs-with-nvidia-gb10-blackwell-gpu-4tb-8810604.png?v=1765505830"},{"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":"nvidia-jetson-agx-thor-128gb-developer-kit","title":"NVIDIA Jetson AGX THOR 128GB Developer Kit","description":"\u003ch2\u003e\n\u003cstrong\u003eNVIDIA Jetson AGX THOR 128GB Developer Kit (945-14070-0080-000) - 6 Months Local Warranty \u003c\/strong\u003e\n\u003c\/h2\u003e\n\u003ch3 data-start=\"281\" data-end=\"699\"\u003e\u003cstrong data-start=\"281\" data-end=\"331\"\u003eAI-Optimised Edge Computing Developer Platform\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp data-start=\"281\" data-end=\"699\"\u003eThe \u003cstrong data-start=\"338\" data-end=\"384\"\u003eNVIDIA Jetson AGX THOR 128GB Developer Kit\u003c\/strong\u003e is a powerful AI edge computing platform designed for robotics, autonomous machines, intelligent devices, and embedded AI applications. It delivers advanced compute performance for perception, navigation, path planning, sensor fusion, deep learning inference, and more — all within a compact developer form factor.\u003c\/p\u003e\n\u003ch3 data-start=\"701\" data-end=\"1043\"\u003e\u003cstrong data-start=\"701\" data-end=\"740\"\u003e128GB High-Capacity Onboard Storage\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp data-start=\"701\" data-end=\"1043\"\u003eWith \u003cstrong data-start=\"748\" data-end=\"776\"\u003e128GB of onboard storage\u003c\/strong\u003e, this kit offers room for large datasets, multi-model storage, and local data caching without needing external drives. The integrated storage supports faster I\/O and reduces latency in data-intensive workflows such as real-time analytics and multi-sensor processing.\u003c\/p\u003e\n\u003ch3 data-start=\"1045\" data-end=\"1378\"\u003e\u003cstrong data-start=\"1045\" data-end=\"1079\"\u003eNVIDIA-Powered AI Acceleration\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp data-start=\"1045\" data-end=\"1378\"\u003eBased on NVIDIA’s cutting-edge embedded architecture, Jetson AGX THOR accelerates deep learning, computer vision, and parallel workloads. Its GPU, AI processors, and CUDA cores work together to deliver high throughput and efficient inference performance for demanding AI applications at the edge.\u003c\/p\u003e\n\u003ch3 data-start=\"1380\" data-end=\"1787\"\u003e\u003cstrong data-start=\"1380\" data-end=\"1419\"\u003eFlexible Connectivity and Expansion\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp data-start=\"1380\" data-end=\"1787\"\u003eThe developer kit includes a broad set of high-speed I\/O interfaces suitable for robotics and machine designs: PCIe for external accelerators, USB for peripherals, Ethernet for network connectivity, and MIPI\/CSI camera interfaces for sensor integration. This lets developers build complete AI systems that integrate LiDAR, depth sensors, IMUs, and high-res cameras.\u003c\/p\u003e\n\u003ch3 data-start=\"1789\" data-end=\"2138\"\u003e\u003cstrong data-start=\"1789\" data-end=\"1834\"\u003eDeveloper-Friendly Software and Ecosystem\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp data-start=\"1789\" data-end=\"2138\"\u003eJetson AGX THOR supports NVIDIA JetPack SDK, CUDA, cuDNN, TensorRT, and popular AI frameworks, making it easy to prototype, optimise, and deploy AI models in real-world environments. The ecosystem accelerates development cycles and brings production-ready workflows from prototype to field deployment.\u003c\/p\u003e\n\u003ch3 data-start=\"2140\" data-end=\"2650\"\u003e\u003cstrong data-start=\"2140\" data-end=\"2188\"\u003eTechnical Specification (GTIN: 095185269580)\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp data-start=\"2140\" data-end=\"2650\"\u003e• \u003cstrong data-start=\"2193\" data-end=\"2239\"\u003eNVIDIA Jetson AGX THOR 128GB Developer Kit\u003c\/strong\u003e (945-14070-0080-000)\u003cbr data-start=\"2260\" data-end=\"2263\"\u003e• 128GB onboard storage for models and data\u003cbr data-start=\"2306\" data-end=\"2309\"\u003e• Integrated NVIDIA GPU with AI acceleration\u003cbr data-start=\"2353\" data-end=\"2356\"\u003e• High-bandwidth memory for parallel compute\u003cbr data-start=\"2400\" data-end=\"2403\"\u003e• High-speed I\/O: PCIe, USB, Ethernet, camera\/sensor interfaces\u003cbr data-start=\"2466\" data-end=\"2469\" data-is-only-node=\"\"\u003e• Supports NVIDIA JetPack, TensorRT, CUDA, and AI frameworks\u003cbr data-start=\"2529\" data-end=\"2532\"\u003e• Designed for robotics, autonomous systems, embedded AI\u003cbr data-start=\"2588\" data-end=\"2591\"\u003e• Production-grade performance with developer flexibility\u003c\/p\u003e\n","brand":"Nvidia","offers":[{"title":"Default Title","offer_id":51231647760548,"sku":"945-14070-0080-000","price":8925.0,"currency_code":"SGD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0605\/0136\/0804\/files\/nvidia-jetson-agx-thor-128gb-developer-kit-4322314.webp?v=1770255066"},{"product_id":"nvidia-rtx-pro™-5000-blackwell-generation","title":"NVIDIA RTX PRO™ 5000 Blackwell Generation","description":"\u003ch2\u003e\n\u003cstrong\u003eNVIDIA RTX PRO™ 5000 Blackwell Generation 72 GB GDDR7 with ECC (900-5G153-2570-000) -\u003c\/strong\u003e\u003cstrong\u003e 3 Years Local Warranty\u003c\/strong\u003e\n\u003c\/h2\u003e\n\u003ch3 data-start=\"287\" data-end=\"665\"\u003e\u003cstrong data-start=\"287\" data-end=\"335\"\u003eProfessional-Grade Graphics for Workstations\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp data-start=\"287\" data-end=\"665\"\u003eThe \u003cstrong data-start=\"342\" data-end=\"387\"\u003eNVIDIA RTX PRO™ 5000 Blackwell Generation\u003c\/strong\u003e is a high-end professional graphics card designed for demanding compute and visual workloads. Its powerful GPU architecture delivers unmatched performance for 3D modelling, simulation, graphics design, and complex engineering applications — all with enterprise-class stability.\u003c\/p\u003e\n\u003ch3 data-start=\"667\" data-end=\"1032\"\u003e\u003cstrong data-start=\"667\" data-end=\"706\"\u003eMassive 72 GB GDDR7 Memory with ECC\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp data-start=\"667\" data-end=\"1032\"\u003eWith \u003cstrong data-start=\"714\" data-end=\"750\"\u003e72 GB of ultra-fast GDDR7 memory\u003c\/strong\u003e and \u003cstrong data-start=\"755\" data-end=\"786\"\u003eError-Correcting Code (ECC)\u003c\/strong\u003e support, this GPU provides large framebuffer capacity and data integrity for memory-intensive workflows. ECC ensures smoother processing for simulations, large datasets, and scientific visualisation where correctness and reliability matter most.\u003c\/p\u003e\n\u003ch3 data-start=\"1034\" data-end=\"1432\"\u003e\u003cstrong data-start=\"1034\" data-end=\"1086\"\u003eBlackwell Architecture for Advanced Acceleration\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp data-start=\"1034\" data-end=\"1432\"\u003eBuilt on NVIDIA’s next-generation Blackwell GPU architecture, the RTX PRO 5000 offers enhanced ray tracing, AI acceleration, and parallel compute performance. It accelerates workloads across rendering, AI-assisted design, real-time simulation, and VR\/AR development, enabling professionals to iterate faster and deliver results with precision.\u003c\/p\u003e\n\u003ch3 data-start=\"1434\" data-end=\"1793\"\u003e\u003cstrong data-start=\"1434\" data-end=\"1484\"\u003eOptimised for Professional Software Ecosystems\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp data-start=\"1434\" data-end=\"1793\"\u003eThis GPU is tuned and certified for leading professional applications across CAD, DCC, engineering, simulation, and data science. Compatibility with software from vendors like Autodesk, Dassault, Adobe, Siemens, and more ensures reliable performance and certified drivers for mission-critical productivity.\u003c\/p\u003e\n\u003ch3 data-start=\"1795\" data-end=\"2131\"\u003e\u003cstrong data-start=\"1795\" data-end=\"1845\"\u003eEnterprise-Ready Reliability and Manageability\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp data-start=\"1795\" data-end=\"2131\"\u003eThe RTX PRO 5000 is engineered for stability in 24\/7 production environments. Its professional-grade drivers, robust error handling, and long lifecycle support make it ideal for corporate workstations, rendering farms, and engineering labs where uptime and consistency are essential.\u003c\/p\u003e\n\u003ch3 data-start=\"2133\" data-end=\"2675\"\u003e\u003cstrong data-start=\"2133\" data-end=\"2182\"\u003eTechnical Specification (GTIN: 0192413857215)\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp data-start=\"163\" data-end=\"324\"\u003e\u003cstrong data-start=\"163\" data-end=\"179\"\u003eArchitecture\u003c\/strong\u003e\u003cbr data-start=\"179\" data-end=\"182\"\u003e• NVIDIA Blackwell architecture\u003cbr data-start=\"213\" data-end=\"216\"\u003e• Designed for AI, rendering, simulation, and professional workloads \u003cspan class=\"\" data-state=\"closed\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp data-start=\"326\" data-end=\"527\"\u003e\u003cstrong data-start=\"326\" data-end=\"348\"\u003eCUDA \u0026amp; Core Design\u003c\/strong\u003e\u003cbr data-start=\"348\" data-end=\"351\"\u003e• ~14,080 CUDA cores \u003cspan class=\"\" data-state=\"closed\"\u003e\u003c\/span\u003e\u003cbr data-start=\"409\" data-end=\"412\"\u003e• 5th Gen Tensor Cores (AI acceleration)\u003cbr data-start=\"452\" data-end=\"455\"\u003e• 4th Gen RT Cores (ray tracing) \u003cspan class=\"\" data-state=\"closed\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp data-start=\"529\" data-end=\"761\"\u003e\u003cstrong data-start=\"529\" data-end=\"547\"\u003eAI Performance\u003c\/strong\u003e\u003cbr data-start=\"547\" data-end=\"550\"\u003e• Optimised for LLM inference, generative AI, and data science workflows \u003cspan class=\"\" data-state=\"closed\"\u003e\u003c\/span\u003e\u003cbr data-start=\"660\" data-end=\"663\"\u003e• Supports multi-instance GPU (MIG) for parallel workloads \u003cspan class=\"\" data-state=\"closed\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp data-start=\"763\" data-end=\"920\"\u003e\u003cstrong data-start=\"763\" data-end=\"789\"\u003eMemory (Key Highlight)\u003c\/strong\u003e\u003cbr data-start=\"789\" data-end=\"792\"\u003e• 72GB GDDR7 VRAM with ECC\u003cbr data-start=\"818\" data-end=\"821\"\u003e• ~1.3 TB\/s memory bandwidth \u003cspan class=\"\" data-state=\"closed\"\u003e\u003c\/span\u003e\u003cbr data-start=\"887\" data-end=\"890\"\u003e• Large framebuffer enables:\u003c\/p\u003e\n\u003cul data-start=\"923\" data-end=\"1000\"\u003e\n\u003cli data-section-id=\"1qqthk1\" data-start=\"923\" data-end=\"942\"\u003eLarge AI models\u003c\/li\u003e\n\u003cli data-section-id=\"gke2i0\" data-start=\"945\" data-end=\"968\"\u003eComplex simulations\u003c\/li\u003e\n\u003cli data-section-id=\"jpbbzj\" data-start=\"971\" data-end=\"1000\"\u003eHigh-resolution rendering\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp data-start=\"1002\" data-end=\"1181\"\u003e\u003cstrong data-start=\"1002\" data-end=\"1025\"\u003eCompute \u0026amp; Workloads\u003c\/strong\u003e\u003cbr data-start=\"1025\" data-end=\"1028\"\u003e• AI training \u0026amp; inference\u003cbr data-start=\"1053\" data-end=\"1056\"\u003e• 3D rendering \/ VFX\u003cbr data-start=\"1076\" data-end=\"1079\"\u003e• CAD \/ BIM \/ engineering\u003cbr data-start=\"1104\" data-end=\"1107\"\u003e• Scientific computing \u0026amp; analytics \u003cspan class=\"\" data-state=\"closed\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp data-start=\"1183\" data-end=\"1304\"\u003e\u003cstrong data-start=\"1183\" data-end=\"1203\"\u003eDisplay \u0026amp; Output\u003c\/strong\u003e\u003cbr data-start=\"1203\" data-end=\"1206\"\u003e• 4 × DisplayPort 2.1\u003cbr data-start=\"1227\" data-end=\"1230\"\u003e• Supports multi-4K \/ 8K workflows \u003cspan class=\"\" data-state=\"closed\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp data-start=\"1306\" data-end=\"1365\"\u003e\u003cstrong data-start=\"1306\" data-end=\"1319\"\u003eInterface\u003c\/strong\u003e\u003cbr data-start=\"1319\" data-end=\"1322\"\u003e• PCIe Gen5 x16\u003cbr data-start=\"1337\" data-end=\"1340\"\u003e• Workstation-class GPU\u003c\/p\u003e\n\u003cp data-start=\"1367\" data-end=\"1486\"\u003e\u003cstrong data-start=\"1367\" data-end=\"1388\"\u003ePower Consumption\u003c\/strong\u003e\u003cbr data-start=\"1388\" data-end=\"1391\"\u003e• ~300W TDP \u003cspan class=\"\" data-state=\"closed\"\u003e\u003c\/span\u003e\u003cbr data-start=\"1440\" data-end=\"1443\"\u003e• More efficient vs flagship RTX PRO 6000\u003c\/p\u003e\n\u003cp data-start=\"1488\" data-end=\"1644\"\u003e\u003cstrong data-start=\"1488\" data-end=\"1513\"\u003eForm Factor \u0026amp; Cooling\u003c\/strong\u003e\u003cbr data-start=\"1513\" data-end=\"1516\"\u003e• Dual-slot, full-height design\u003cbr data-start=\"1547\" data-end=\"1550\"\u003e• Blower-style cooling (enterprise airflow friendly) \u003cspan class=\"\" data-state=\"closed\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp data-start=\"1646\" data-end=\"1750\"\u003e\u003cstrong data-start=\"1646\" data-end=\"1669\"\u003eEncoding \/ Decoding\u003c\/strong\u003e\u003cbr data-start=\"1669\" data-end=\"1672\"\u003e• Advanced NVENC \/ NVDEC engines\u003cbr data-start=\"1704\" data-end=\"1707\"\u003e• Supports AV1, HEVC, pro media pipelines\u003c\/p\u003e\n\u003cp data-start=\"1752\" data-end=\"1910\"\u003e\u003cstrong data-start=\"1752\" data-end=\"1781\"\u003eDriver \u0026amp; Software Support\u003c\/strong\u003e\u003cbr data-start=\"1781\" data-end=\"1784\"\u003e• NVIDIA RTX Enterprise drivers\u003cbr data-start=\"1815\" data-end=\"1818\"\u003e• ISV-certified (Autodesk, SolidWorks, Adobe, etc.)\u003cbr data-start=\"1869\" data-end=\"1872\"\u003e• Supports CUDA, TensorRT, Omniverse\u003c\/p\u003e\n","brand":"Nvidia","offers":[{"title":"Default Title","offer_id":51231648120996,"sku":"900-5G153-2570-000","price":15925.0,"currency_code":"SGD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0605\/0136\/0804\/files\/nvidia-rtx-pro-5000-blackwell-generation-3270248.webp?v=1770349927"},{"product_id":"dell-pro-max-16-mc16250-u7-265h-vpro-rtx-pro-500-16g-512gb-ssd","title":"Dell Pro Max 16 MC16250 U7-265H vPro\/ RTX PRO 500\/ 16G\/ 512GB SSD","description":"\u003ch2\u003e\u003cstrong\u003e\u003cspan\u003eDell Pro Max 16 MC16250 U7-265H vPro\/RTX PRO 500\/16G\/512GB SSD (DPMMC16250C716G512DIS) \u003c\/span\u003e- 3 Year Local Onsite Warranty\u003c\/strong\u003e\u003c\/h2\u003e\n\u003cp\u003e\u003cstrong\u003e\u003c\/strong\u003e\u003c\/p\u003e\n\u003ch3 data-start=\"282\" data-end=\"331\"\u003e\u003cstrong data-start=\"282\" data-end=\"331\"\u003eHigh-Performance Intel Core Ultra 7 with vPro\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp data-start=\"333\" data-end=\"735\"\u003eThe \u003cstrong data-start=\"337\" data-end=\"388\"\u003eDell Pro Max 16 MC16250 (DPMMC16250C716G512DIS)\u003c\/strong\u003e is powered by the \u003cstrong data-start=\"407\" data-end=\"449\"\u003eIntel Core Ultra 7 265H vPro processor\u003c\/strong\u003e, delivering up to 16 cores with turbo speeds around 5.3GHz. This platform includes AI acceleration (NPU) and enterprise-grade vPro manageability, making it ideal for corporate deployments, remote management, and high-performance computing tasks. \u003cspan class=\"\" data-state=\"closed\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003ch3 data-start=\"737\" data-end=\"791\"\u003e\u003cstrong data-start=\"737\" data-end=\"791\"\u003eProfessional RTX PRO 500 GPU for Workstation Tasks\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp data-start=\"793\" data-end=\"1195\"\u003eEquipped with the \u003cstrong data-start=\"811\" data-end=\"856\"\u003eNVIDIA RTX PRO 500 (Blackwell generation)\u003c\/strong\u003e GPU with dedicated GDDR7 memory, this system is built for professional workloads such as 3D rendering, CAD, AI model inference, and content creation. It offers significantly better stability and optimisation compared to consumer GPUs, making it suitable for engineers, designers, and AI developers. \u003cspan class=\"\" data-state=\"closed\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003ch3 data-start=\"1197\" data-end=\"1246\"\u003e\u003cstrong data-start=\"1197\" data-end=\"1246\"\u003eEfficient Multitasking with DDR5 and Fast SSD\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp data-start=\"1248\" data-end=\"1560\"\u003eThis configuration includes \u003cstrong data-start=\"1276\" data-end=\"1293\"\u003e16GB DDR5 RAM\u003c\/strong\u003e and a \u003cstrong data-start=\"1300\" data-end=\"1323\"\u003e512GB PCIe NVMe SSD\u003c\/strong\u003e, providing fast system responsiveness, quick boot times, and efficient multitasking. It is well-suited for running multiple enterprise applications, virtual environments, and data-heavy workflows. \u003cspan class=\"\" data-state=\"closed\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003ch3 data-start=\"1562\" data-end=\"1611\"\u003e\u003cstrong data-start=\"1562\" data-end=\"1611\"\u003e16-Inch Professional Display for Productivity\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp data-start=\"1613\" data-end=\"1889\"\u003eThe laptop features a \u003cstrong data-start=\"1635\" data-end=\"1673\"\u003e16-inch FHD+ (1920 x 1200) display\u003c\/strong\u003e, offering a larger workspace with better vertical viewing compared to standard FHD panels. This improves productivity for multitasking, coding, design work, and data analysis. \u003cspan class=\"\" data-state=\"closed\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003ch3 data-start=\"1891\" data-end=\"1945\"\u003e\u003cstrong data-start=\"1891\" data-end=\"1945\"\u003eEnterprise-Grade Design with Advanced Connectivity\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp data-start=\"1947\" data-end=\"2273\"\u003eBuilt as a mobile workstation, the Dell Pro Max 16 supports advanced connectivity including USB-C, Thunderbolt, HDMI, Ethernet, WiFi, and optional 5G. Combined with enterprise security and durability, it is designed for professionals who need performance both in-office and on the move. \u003cspan class=\"\" data-state=\"closed\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003ch3 data-end=\"2270\" data-start=\"2242\"\u003e\u003cstrong data-end=\"2270\" data-start=\"2242\"\u003eTechnical Specifications\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp data-start=\"131\" data-end=\"368\"\u003e\u003cstrong data-start=\"131\" data-end=\"144\"\u003eProcessor\u003c\/strong\u003e\u003cbr data-start=\"144\" data-end=\"147\"\u003e• Intel Core Ultra 7 265H (vPro Enterprise)\u003cbr data-start=\"190\" data-end=\"193\"\u003e• Up to ~5.3GHz Turbo Boost\u003cbr data-start=\"220\" data-end=\"223\"\u003e• 16 cores, 16 threads\u003cbr data-start=\"245\" data-end=\"248\"\u003e• 24MB Intel Smart Cache\u003cbr data-start=\"272\" data-end=\"275\"\u003e• Integrated AI Boost NPU (~13 TOPS) for AI workloads \u003cspan class=\"\" data-state=\"closed\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp data-start=\"370\" data-end=\"607\"\u003e\u003cstrong data-start=\"370\" data-end=\"398\"\u003eGraphics (Dedicated GPU)\u003c\/strong\u003e\u003cbr data-start=\"398\" data-end=\"401\"\u003e• NVIDIA RTX PRO 500 (Blackwell Generation)\u003cbr data-start=\"444\" data-end=\"447\"\u003e• 6GB GDDR7 VRAM\u003cbr data-start=\"463\" data-end=\"466\"\u003e• AI acceleration up to ~75 TOPS\u003cbr data-start=\"498\" data-end=\"501\"\u003e• Designed for CAD, AI workloads, rendering, and professional apps \u003cspan class=\"\" data-state=\"closed\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp data-start=\"609\" data-end=\"777\"\u003e\u003cstrong data-start=\"609\" data-end=\"619\"\u003eMemory\u003c\/strong\u003e\u003cbr data-start=\"619\" data-end=\"622\"\u003e• 16GB DDR5 RAM (2 x 8GB)\u003cbr data-start=\"647\" data-end=\"650\"\u003e• Memory speed up to 5600 MT\/s\u003cbr data-start=\"680\" data-end=\"683\"\u003e• Dual-channel configuration\u003cbr data-start=\"711\" data-end=\"714\"\u003e• Expandable up to 64GB \u003cspan class=\"\" data-state=\"closed\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp data-start=\"779\" data-end=\"953\"\u003e\u003cstrong data-start=\"779\" data-end=\"790\"\u003eStorage\u003c\/strong\u003e\u003cbr data-start=\"790\" data-end=\"793\"\u003e• 512GB M.2 PCIe Gen4 NVMe SSD\u003cbr data-start=\"823\" data-end=\"826\"\u003e• Fast boot and high-speed data access\u003cbr data-start=\"864\" data-end=\"867\"\u003e• Supports additional SSD expansion (dual M.2) \u003cspan class=\"\" data-state=\"closed\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp data-start=\"955\" data-end=\"1137\"\u003e\u003cstrong data-start=\"955\" data-end=\"966\"\u003eDisplay\u003c\/strong\u003e\u003cbr data-start=\"966\" data-end=\"969\"\u003e• 16\" WUXGA (1920 x 1200) IPS display\u003cbr data-start=\"1006\" data-end=\"1009\"\u003e• Anti-glare, non-touch\u003cbr data-start=\"1032\" data-end=\"1035\"\u003e• Brightness ~300 nits\u003cbr data-start=\"1057\" data-end=\"1060\"\u003e• 16:10 aspect ratio for productivity \u003cspan class=\"\" data-state=\"closed\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp data-start=\"1139\" data-end=\"1238\"\u003e\u003cstrong data-start=\"1139\" data-end=\"1159\"\u003eOperating System\u003c\/strong\u003e\u003cbr data-start=\"1159\" data-end=\"1162\"\u003e• Windows 11 Pro (business-ready OS) \u003cspan class=\"\" data-state=\"closed\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp data-start=\"1240\" data-end=\"1419\"\u003e\u003cstrong data-start=\"1240\" data-end=\"1264\"\u003eForm Factor \u0026amp; Design\u003c\/strong\u003e\u003cbr data-start=\"1264\" data-end=\"1267\"\u003e• 16-inch mobile workstation\u003cbr data-start=\"1295\" data-end=\"1298\"\u003e• Premium enterprise chassis\u003cbr data-start=\"1326\" data-end=\"1329\"\u003e• Designed for durability and heavy workloads\u003cbr data-start=\"1374\" data-end=\"1377\"\u003e• Portable workstation-class performance\u003c\/p\u003e\n\u003cp data-start=\"1421\" data-end=\"1571\"\u003e\u003cstrong data-start=\"1421\" data-end=\"1443\"\u003eChipset \/ Platform\u003c\/strong\u003e\u003cbr data-start=\"1443\" data-end=\"1446\"\u003e• Intel vPro Enterprise platform\u003cbr data-start=\"1478\" data-end=\"1481\"\u003e• Advanced remote management and security features \u003cspan class=\"\" data-state=\"closed\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp data-start=\"1573\" data-end=\"1848\"\u003e\u003cstrong data-start=\"1573\" data-end=\"1597\"\u003ePorts \u0026amp; Connectivity\u003c\/strong\u003e\u003cbr data-start=\"1597\" data-end=\"1600\"\u003e• USB-C \/ Thunderbolt ports (high-speed data + display + power)\u003cbr data-start=\"1663\" data-end=\"1666\"\u003e• Multiple USB-A ports\u003cbr data-start=\"1688\" data-end=\"1691\"\u003e• HDMI output\u003cbr data-start=\"1704\" data-end=\"1707\"\u003e• RJ-45 Ethernet\u003cbr data-start=\"1723\" data-end=\"1726\"\u003e• Audio combo jack\u003cbr data-start=\"1744\" data-end=\"1747\"\u003e• LAN: Gigabit Ethernet\u003cbr data-start=\"1770\" data-end=\"1773\"\u003e• Wireless: WiFi 6E + Bluetooth 5.x \u003cspan class=\"\" data-state=\"closed\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp data-start=\"1850\" data-end=\"1971\"\u003e\u003cstrong data-start=\"1850\" data-end=\"1871\"\u003eExpansion \u0026amp; Slots\u003c\/strong\u003e\u003cbr data-start=\"1871\" data-end=\"1874\"\u003e• Dual M.2 SSD slots\u003cbr data-start=\"1894\" data-end=\"1897\"\u003e• Upgradeable RAM (SODIMM)\u003cbr data-start=\"1923\" data-end=\"1926\"\u003e• Modular workstation configuration support\u003c\/p\u003e\n\u003cp data-start=\"1973\" data-end=\"2119\"\u003e\u003cstrong data-start=\"1973\" data-end=\"1991\"\u003eAudio \u0026amp; Camera\u003c\/strong\u003e\u003cbr data-start=\"1991\" data-end=\"1994\"\u003e• Integrated HD audio\u003cbr data-start=\"2015\" data-end=\"2018\"\u003e• Dual microphones\u003cbr data-start=\"2036\" data-end=\"2039\"\u003e• FHD IR webcam (supports Windows Hello) \u003cspan class=\"\" data-state=\"closed\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp data-start=\"2121\" data-end=\"2295\"\u003e\u003cstrong data-start=\"2121\" data-end=\"2152\"\u003eSecurity (Enterprise Grade)\u003c\/strong\u003e\u003cbr data-start=\"2152\" data-end=\"2155\"\u003e• TPM 2.0 hardware security\u003cbr data-start=\"2182\" data-end=\"2185\"\u003e• Intel vPro security features\u003cbr data-start=\"2215\" data-end=\"2218\"\u003e• IR camera for facial recognition\u003cbr data-start=\"2252\" data-end=\"2255\"\u003e• Enterprise-grade endpoint protection\u003c\/p\u003e\n\u003cp data-start=\"2297\" data-end=\"2471\"\u003e\u003cstrong data-start=\"2297\" data-end=\"2316\"\u003eBattery \u0026amp; Power\u003c\/strong\u003e\u003cbr data-start=\"2316\" data-end=\"2319\"\u003e• 6-cell battery (mobile workstation class)\u003cbr data-start=\"2362\" data-end=\"2365\"\u003e• Fast charging support\u003cbr data-start=\"2388\" data-end=\"2391\"\u003e• High-performance power adapter (~130W) \u003cspan class=\"\" data-state=\"closed\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp data-start=\"2473\" data-end=\"2638\"\u003e\u003cstrong data-start=\"2473\" data-end=\"2505\"\u003ePhysical Dimensions \u0026amp; Weight\u003c\/strong\u003e\u003cbr data-start=\"2505\" data-end=\"2508\"\u003e• Approx. 16-inch chassis\u003cbr data-start=\"2533\" data-end=\"2536\"\u003e• Weight ~2.2 kg\u003cbr data-start=\"2552\" data-end=\"2555\"\u003e• Portable for a workstation-class device \u003cspan class=\"\" data-state=\"closed\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp data-start=\"2640\" data-end=\"2864\"\u003e\u003cstrong data-start=\"2640\" data-end=\"2652\"\u003eUse Case\u003c\/strong\u003e\u003cbr data-start=\"2652\" data-end=\"2655\"\u003e• Engineering (CAD, BIM, SolidWorks)\u003cbr data-start=\"2691\" data-end=\"2694\"\u003e• AI \/ machine learning workloads (entry–mid level)\u003cbr data-start=\"2745\" data-end=\"2748\"\u003e• Video editing and content creation\u003cbr data-start=\"2784\" data-end=\"2787\"\u003e• Data analysis and simulation\u003cbr data-start=\"2817\" data-end=\"2820\"\u003e• Enterprise mobile workstation deployment\u003cstrong data-end=\"2283\" data-start=\"2274\"\u003e\u003c\/strong\u003e\u003c\/p\u003e\n\u003ch3\u003e\u003cstrong\u003eDetailed Specification:\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp\u003eDell Pro Max 16 (MC16250) XCTO Base\u003cbr\u003eIntel Core Ultra 7 265H Processor with vPro\u003cbr\u003eFHD+IR Camera, HDR\u003cbr\u003eDell Pro 14-16 Plus EcoLoop Slim Backpack? - CP5724S\u003cbr\u003eIntel Core Ultra 7 265H, vPro Enterprise (24MB, 16 cores, 16 threads, up to 5.30 GHz Turbo, 45W)\u003cbr\u003e16 FHD+ LCD with 300 nits, Non-touch, FHD HDR IR Camera, Microphone, WLAN\u003cbr\u003eDell Pro Max 16 Bottom Door, Discrete\u003cbr\u003eNVIDIA RTX PRO 500 Blackwell 6GB GDDR7\u003cbr\u003e16GB: 2x8GB, DDR5, 5600 MT\/s, SoDIMM, Dual Channel, non-ECC\u003cbr\u003ePalmrest, FPR+CV3\u003cbr\u003e6 cell, 96Whr, ExpressCharge(TM) Capable, standard battery\u003cbr\u003e512GB, M.2 2230, Gen4 PCIe NVMe, SSD, Class 35\u003cbr\u003eEnglish US backlit Copilot key keyboard with numeric keypad\u003cbr\u003eWindows 11 Pro\u003cbr\u003eIntel Wi-Fi 6E AX211, 2x2, 802.11ax, Bluetooth 5.3 wireless card\u003cbr\u003eIntel vPro Enterprise Technology Enabled\u003cbr\u003e3 Years ProSupport Warranty\u003c\/p\u003e","brand":"Dell","offers":[{"title":"Default Title","offer_id":51300048830628,"sku":"DPMMC16250C716G512DIS","price":3330.0,"currency_code":"SGD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0605\/0136\/0804\/files\/dell-pro-max-16-mc16250-u7-265h-vpro-rtx-pro-500-32g-1tb-ssd-6509459.jpg?v=1775832612"},{"product_id":"dell-pro-max-16-mc16250-u7-265h-vpro-rtx-pro-500-32g-1tb-ssd","title":"Dell Pro Max 16 MC16250 U7-265H vPro \/RTX PRO 500 \/32G \/1TB SSD","description":"\u003ch2\u003e\u003cstrong\u003e\u003cspan\u003eDell Pro Max 16 MC16250 U7-265H vPro \/RTX PRO 500 \/32G \/1TB SSD (DPMMC16250C732G1TBDIS) \u003c\/span\u003e- 3 Year Local Onsite Warranty\u003c\/strong\u003e\u003c\/h2\u003e\n\u003cp\u003e\u003cstrong\u003e\u003c\/strong\u003e\u003c\/p\u003e\n\u003ch3 data-start=\"283\" data-end=\"335\"\u003e\u003cstrong data-start=\"283\" data-end=\"335\"\u003eIntel Core Ultra 7 with vPro and AI Acceleration\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp data-start=\"337\" data-end=\"708\"\u003eThe \u003cstrong data-start=\"341\" data-end=\"392\"\u003eDell Pro Max 16 MC16250 (DPMMC16250C732G1TBDIS)\u003c\/strong\u003e is powered by the \u003cstrong data-start=\"411\" data-end=\"453\"\u003eIntel Core Ultra 7 265H vPro processor\u003c\/strong\u003e, delivering up to 16 cores and boost speeds around 5.3GHz. It includes an integrated NPU (~13 TOPS) for AI acceleration, making it suitable for modern enterprise workloads, automation, and AI-assisted applications. \u003cspan class=\"\" data-state=\"closed\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003ch3 data-start=\"710\" data-end=\"764\"\u003e\u003cstrong data-start=\"710\" data-end=\"764\"\u003eProfessional RTX PRO 500 GPU for Workstation Tasks\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp data-start=\"766\" data-end=\"1090\"\u003eEquipped with the \u003cstrong data-start=\"784\" data-end=\"840\"\u003eNVIDIA RTX PRO 500 (Blackwell generation, 6GB GDDR7)\u003c\/strong\u003e, this system is built for professional workloads such as 3D rendering, CAD, AI inference, and content creation. It offers certified drivers and stability required for enterprise and ISV-supported applications. \u003cspan class=\"\" data-state=\"closed\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003ch3 data-start=\"1092\" data-end=\"1144\"\u003e\u003cstrong data-start=\"1092\" data-end=\"1144\"\u003eEnhanced Multitasking with 32GB DDR5 and 1TB SSD\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp data-start=\"1146\" data-end=\"1474\"\u003eThis configuration features \u003cstrong data-start=\"1174\" data-end=\"1191\"\u003e32GB DDR5 RAM\u003c\/strong\u003e, enabling heavy multitasking and smooth handling of large datasets, virtual machines, and professional software. The \u003cstrong data-start=\"1309\" data-end=\"1330\"\u003e1TB PCIe NVMe SSD\u003c\/strong\u003e provides fast boot times, high-speed data access, and ample storage for project files and applications. \u003cspan class=\"\" data-state=\"closed\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003ch3 data-start=\"1476\" data-end=\"1525\"\u003e\u003cstrong data-start=\"1476\" data-end=\"1525\"\u003e16-Inch Display for Professional Productivity\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp data-start=\"1527\" data-end=\"1832\"\u003eThe laptop comes with a \u003cstrong data-start=\"1551\" data-end=\"1589\"\u003e16-inch FHD+ (1920 x 1200) display\u003c\/strong\u003e, offering more vertical screen space for productivity tasks such as coding, design, and multitasking. It supports optional higher-resolution panels, making it adaptable for different professional needs. \u003cspan class=\"\" data-state=\"closed\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003ch3 data-start=\"1834\" data-end=\"1891\"\u003e\u003cstrong data-start=\"1834\" data-end=\"1891\"\u003eEnterprise-Grade Build, Connectivity, and Reliability\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp data-start=\"1893\" data-end=\"2268\"\u003eBuilt as a professional workstation, it includes \u003cstrong data-start=\"1942\" data-end=\"1998\"\u003eThunderbolt 4, HDMI, Ethernet, and WiFi 6E\/7 options\u003c\/strong\u003e, ensuring seamless connectivity across enterprise environments. With ISV certifications, strong thermals, and durable build quality, it is designed for engineers, developers, and business professionals working on demanding tasks. \u003cspan class=\"\" data-state=\"closed\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003ch3 data-start=\"2270\" data-end=\"2297\"\u003e\u003cstrong data-start=\"2270\" data-end=\"2297\"\u003eTechnical Specification\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp data-start=\"129\" data-end=\"364\"\u003e\u003cstrong data-start=\"129\" data-end=\"142\"\u003eProcessor\u003c\/strong\u003e\u003cbr data-start=\"142\" data-end=\"145\"\u003e• Intel Core Ultra 7 265H (vPro Enterprise)\u003cbr data-start=\"188\" data-end=\"191\"\u003e• Up to ~5.3GHz Turbo Boost\u003cbr data-start=\"218\" data-end=\"221\"\u003e• 16 cores, 16 threads\u003cbr data-start=\"243\" data-end=\"246\"\u003e• 24MB Intel Smart Cache\u003cbr data-start=\"270\" data-end=\"273\"\u003e• Built-in AI Boost NPU (~13 TOPS) for AI workloads \u003cspan class=\"\" data-state=\"closed\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp data-start=\"366\" data-end=\"615\"\u003e\u003cstrong data-start=\"366\" data-end=\"394\"\u003eGraphics (Dedicated GPU)\u003c\/strong\u003e\u003cbr data-start=\"394\" data-end=\"397\"\u003e• NVIDIA RTX PRO 500 (Blackwell Generation)\u003cbr data-start=\"440\" data-end=\"443\"\u003e• 6GB GDDR7 VRAM\u003cbr data-start=\"459\" data-end=\"462\"\u003e• AI acceleration and professional GPU performance\u003cbr data-start=\"512\" data-end=\"515\"\u003e• Suitable for CAD, rendering, AI, and engineering workloads \u003cspan class=\"\" data-state=\"closed\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp data-start=\"617\" data-end=\"788\"\u003e\u003cstrong data-start=\"617\" data-end=\"627\"\u003eMemory\u003c\/strong\u003e\u003cbr data-start=\"627\" data-end=\"630\"\u003e• 32GB DDR5 RAM\u003cbr data-start=\"645\" data-end=\"648\"\u003e• High-speed memory (up to ~5600–6400 MT\/s)\u003cbr data-start=\"691\" data-end=\"694\"\u003e• Dual-channel configuration\u003cbr data-start=\"722\" data-end=\"725\"\u003e• Expandable up to 64GB \u003cspan class=\"\" data-state=\"closed\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp data-start=\"790\" data-end=\"965\"\u003e\u003cstrong data-start=\"790\" data-end=\"801\"\u003eStorage\u003c\/strong\u003e\u003cbr data-start=\"801\" data-end=\"804\"\u003e• 1TB M.2 PCIe Gen4 NVMe SSD\u003cbr data-start=\"832\" data-end=\"835\"\u003e• High-speed read\/write performance\u003cbr data-start=\"870\" data-end=\"873\"\u003e• Supports additional SSD expansion (dual M.2 slots) \u003cspan class=\"\" data-state=\"closed\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp data-start=\"967\" data-end=\"1143\"\u003e\u003cstrong data-start=\"967\" data-end=\"978\"\u003eDisplay\u003c\/strong\u003e\u003cbr data-start=\"978\" data-end=\"981\"\u003e• 16\" FHD+ (1920 x 1200) anti-glare display\u003cbr data-start=\"1024\" data-end=\"1027\"\u003e• 16:10 aspect ratio for productivity\u003cbr data-start=\"1064\" data-end=\"1067\"\u003e• Non-touch panel (config dependent) \u003cspan class=\"\" data-state=\"closed\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp data-start=\"1145\" data-end=\"1244\"\u003e\u003cstrong data-start=\"1145\" data-end=\"1165\"\u003eOperating System\u003c\/strong\u003e\u003cbr data-start=\"1165\" data-end=\"1168\"\u003e• Windows 11 Pro (business-ready OS) \u003cspan class=\"\" data-state=\"closed\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp data-start=\"1246\" data-end=\"1423\"\u003e\u003cstrong data-start=\"1246\" data-end=\"1270\"\u003eForm Factor \u0026amp; Design\u003c\/strong\u003e\u003cbr data-start=\"1270\" data-end=\"1273\"\u003e• 16-inch mobile workstation\u003cbr data-start=\"1301\" data-end=\"1304\"\u003e• Premium enterprise chassis\u003cbr data-start=\"1332\" data-end=\"1335\"\u003e• Built for durability and sustained performance\u003cbr data-start=\"1383\" data-end=\"1386\"\u003e• Portable workstation-class design\u003c\/p\u003e\n\u003cp data-start=\"1425\" data-end=\"1539\"\u003e\u003cstrong data-start=\"1425\" data-end=\"1447\"\u003ePlatform \/ Chipset\u003c\/strong\u003e\u003cbr data-start=\"1447\" data-end=\"1450\"\u003e• Intel vPro Enterprise platform\u003cbr data-start=\"1482\" data-end=\"1485\"\u003e• Advanced remote management and enterprise security\u003c\/p\u003e\n\u003cp data-start=\"1541\" data-end=\"1762\"\u003e\u003cstrong data-start=\"1541\" data-end=\"1565\"\u003ePorts \u0026amp; Connectivity\u003c\/strong\u003e\u003cbr data-start=\"1565\" data-end=\"1568\"\u003e• USB-C \/ Thunderbolt (data, display, charging)\u003cbr data-start=\"1615\" data-end=\"1618\"\u003e• Multiple USB-A ports\u003cbr data-start=\"1640\" data-end=\"1643\"\u003e• HDMI output\u003cbr data-start=\"1656\" data-end=\"1659\"\u003e• RJ-45 Ethernet\u003cbr data-start=\"1675\" data-end=\"1678\"\u003e• Audio combo jack\u003cbr data-start=\"1696\" data-end=\"1699\"\u003e• LAN: Gigabit Ethernet\u003cbr data-start=\"1722\" data-end=\"1725\"\u003e• Wireless: WiFi 6E + Bluetooth 5.x\u003c\/p\u003e\n\u003cp data-start=\"1764\" data-end=\"1877\"\u003e\u003cstrong data-start=\"1764\" data-end=\"1785\"\u003eExpansion \u0026amp; Slots\u003c\/strong\u003e\u003cbr data-start=\"1785\" data-end=\"1788\"\u003e• Dual M.2 SSD slots\u003cbr data-start=\"1808\" data-end=\"1811\"\u003e• Upgradeable RAM (SODIMM)\u003cbr data-start=\"1837\" data-end=\"1840\"\u003e• Modular workstation configuration\u003c\/p\u003e\n\u003cp data-start=\"1879\" data-end=\"1995\"\u003e\u003cstrong data-start=\"1879\" data-end=\"1897\"\u003eAudio \u0026amp; Camera\u003c\/strong\u003e\u003cbr data-start=\"1897\" data-end=\"1900\"\u003e• Integrated HD audio system\u003cbr data-start=\"1928\" data-end=\"1931\"\u003e• Dual microphones\u003cbr data-start=\"1949\" data-end=\"1952\"\u003e• FHD IR webcam (Windows Hello supported)\u003c\/p\u003e\n\u003cp data-start=\"1997\" data-end=\"2172\"\u003e\u003cstrong data-start=\"1997\" data-end=\"2028\"\u003eSecurity (Enterprise Grade)\u003c\/strong\u003e\u003cbr data-start=\"2028\" data-end=\"2031\"\u003e• TPM 2.0 hardware security\u003cbr data-start=\"2058\" data-end=\"2061\"\u003e• Intel vPro security features\u003cbr data-start=\"2091\" data-end=\"2094\"\u003e• IR camera with facial recognition\u003cbr data-start=\"2129\" data-end=\"2132\"\u003e• Enterprise-grade endpoint protection\u003c\/p\u003e\n\u003cp data-start=\"2174\" data-end=\"2343\"\u003e\u003cstrong data-start=\"2174\" data-end=\"2193\"\u003eBattery \u0026amp; Power\u003c\/strong\u003e\u003cbr data-start=\"2193\" data-end=\"2196\"\u003e• 6-cell battery (~96Wh typical)\u003cbr data-start=\"2228\" data-end=\"2231\"\u003e• Fast charging support\u003cbr data-start=\"2254\" data-end=\"2257\"\u003e• High-performance power adapter (~130W class) \u003cspan class=\"\" data-state=\"closed\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp data-start=\"2345\" data-end=\"2490\"\u003e\u003cstrong data-start=\"2345\" data-end=\"2377\"\u003ePhysical Dimensions \u0026amp; Weight\u003c\/strong\u003e\u003cbr data-start=\"2377\" data-end=\"2380\"\u003e• Approx. 16-inch chassis\u003cbr data-start=\"2405\" data-end=\"2408\"\u003e• Weight ~2.2 kg (varies by configuration) \u003cspan class=\"\" data-state=\"closed\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp data-start=\"2492\" data-end=\"2740\"\u003e\u003cstrong data-start=\"2492\" data-end=\"2504\"\u003eUse Case\u003c\/strong\u003e\u003cbr data-start=\"2504\" data-end=\"2507\"\u003e• Engineering (AutoCAD, SolidWorks, BIM)\u003cbr data-start=\"2547\" data-end=\"2550\"\u003e• AI \/ machine learning workloads (entry to mid-level)\u003cbr data-start=\"2604\" data-end=\"2607\"\u003e• Video editing and content creation\u003cbr data-start=\"2643\" data-end=\"2646\"\u003e• Data analysis, simulation, and virtualization\u003cbr data-start=\"2693\" data-end=\"2696\"\u003e• Enterprise mobile workstation deployment\u003c\/p\u003e\n\u003ch3\u003e\u003cstrong\u003eDetailed Specification:\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp\u003eDell Pro Max 16 (MC16250) XCTO Base\u003cbr\u003eIntel Core Ultra 7 265H Processor with vPro\u003cbr\u003eFHD+IR Camera, HDR\u003cbr\u003eDell Pro 14-16 Plus EcoLoop Slim Backpack? - CP5724S\u003cbr\u003eIntel Core Ultra 7 265H, vPro Enterprise (24MB, 16 cores, 16 threads, up to 5.30 GHz Turbo, 45W)\u003cbr\u003e16 FHD+ LCD with 300 nits, Non-touch, FHD HDR IR Camera, Microphone, WLAN\u003cbr\u003eDell Pro Max 16 Bottom Door, Discrete\u003cbr\u003eNVIDIA RTX PRO 500 Blackwell 6GB GDDR7\u003cbr\u003e32GB: 2x16GB, DDR5, 5600 MT\/s, SoDIMM, Dual Channel, non-ECC\u003cbr\u003ePalmrest, FPR+CV3\u003cbr\u003e6 cell, 96Whr, ExpressCharge(TM) Capable, standard battery\u003cbr\u003e1TB, M.2 2280, Gen4 PCIe NVMe, Class 40, SED\u003cbr\u003eEnglish US backlit Copilot key keyboard with numeric keypad\u003cbr\u003eWindows 11 Pro\u003cbr\u003eIntel Wi-Fi 6E AX211, 2x2, 802.11ax, Bluetooth 5.3 wireless card\u003cbr\u003eIntel vPro Enterprise Technology Enabled\u003cbr\u003e3 Years ProSupport Warranty\u003c\/p\u003e","brand":"Dell","offers":[{"title":"Default Title","offer_id":51300050010276,"sku":"DPMMC16250C732G1TBDIS","price":3345.0,"currency_code":"SGD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0605\/0136\/0804\/files\/dell-pro-max-16-mc16250-u7-265h-vpro-rtx-pro-500-32g-1tb-ssd-6509459.jpg?v=1775832612"},{"product_id":"msi-edgexpert-personal-ai-supercomputer-4tb","title":"MSI EdgeXpert Personal AI Supercomputer - 4TB","description":"\u003ch2\u003e\n\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\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=\"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 data-start=\"2414\" data-end=\"2417\"\u003e• Self-encrypting SSD support\u003c\/p\u003e","brand":"Nvidia","offers":[{"title":"Default Title","offer_id":51315547701412,"sku":"9S6-C9311-61S","price":6895.0,"currency_code":"SGD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0605\/0136\/0804\/files\/msi-edgexpert-personal-ai-supercomputer-4tb-8770171.jpg?v=1777335073"},{"product_id":"hp-zgx-nano-g1n-ai-station-4tb","title":"HP ZGX Nano G1n AI Station - 4TB","description":"\u003c!-- ZGX-FLASH-SALE-START --\u003e\u003cdiv id=\"zgx-promo\" data-zgx-end=\"2026-08-03T23:59:00+08:00\" style=\"display:block; margin:0 0 18px; font-family:inherit; border-radius:14px; padding:1.5px; 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set(i,v){var e=document.getElementById(i);if(e)e.textContent=v}var on=true;var END=getEnd();function tick(){var l=END-Date.now();if(l\u003c=0){box.style.display='none';clearInterval(iv);return}box.style.display='block';set('zgx-d',pad(Math.floor(l\/86400000)));set('zgx-h',pad(Math.floor(l\/3600000)%24));set('zgx-m',pad(Math.floor(l\/60000)%60));set('zgx-s',pad(Math.floor(l\/1000)%60));var d=document.getElementById('zgx-dot');if(d){on=!on;d.style.opacity=on?'1':'0.35'}}var iv=setInterval(tick,1000);tick();var c=document.getElementById('zgx-code'),cp=document.getElementById('zgx-copied');if(c){c.addEventListener('click',function(){navigator.clipboard.writeText('BYEBYECLOUD').then(function(){if(cp){cp.style.display='inline';setTimeout(function(){cp.style.display='none'},1500)}})})}})();\u003c\/script\u003e\u003c!-- ZGX-FLASH-SALE-END --\u003e\u003ch2\u003e\n\u003cstrong\u003eHP ZGX Nano G1n AI Station - 4TB (DD8J0PA) - 3 Years Onsite Local Warranty \u003c\/strong\u003e\u003cstrong data-start=\"199\" data-end=\"252\"\u003eCompact AI Computing Power for Modern Enterprises \u003c\/strong\u003e\u003cspan style=\"color: rgb(255, 42, 0);\"\u003e\u003cstrong\u003eLimited-Time Offer\u003c\/strong\u003e\u003c\/span\u003e\n\u003c\/h2\u003e\n\u003cp data-start=\"256\" data-end=\"681\"\u003eThe HP ZGX Nano G1n AI Station - 4TB (DD8J0PA) is a next-generation AI workstation designed to deliver powerful local computing performance for artificial intelligence, machine learning, data science, and advanced analytics workloads. 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":"nvidia-rtx-pro™-6000-blackwell-server-edition","title":"NVIDIA RTX PRO™ 6000 Blackwell Server Edition","description":"\u003ch2\u003e\n\u003cstrong\u003eNVIDIA RTX PRO™ 6000 Blackwell Server Edition 96 GB GDDR7 with ECC (900-2G153-0000-000) - 3 Years Local Warranty \u003c\/strong\u003e\n\u003c\/h2\u003e\n\u003ch3 data-start=\"207\" data-end=\"258\"\u003e\u003cstrong data-start=\"207\" data-end=\"256\"\u003eEnterprise AI and Data Center GPU Performance\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp data-start=\"260\" data-end=\"705\"\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 RTX PRO™ 6000 Blackwell Server Edition 96GB GDDR7 with ECC (900-2G153-0000-000) is an enterprise-grade GPU accelerator engineered for AI computing, high-performance computing (HPC), generative AI, simulation, and large-scale data center workloads. Built on the latest Blackwell architecture, this server GPU delivers exceptional compute performance for modern AI infrastructure and enterprise deployments.\u003c\/p\u003e\n\u003ch3 data-start=\"707\" data-end=\"759\"\u003e\u003cstrong data-start=\"707\" data-end=\"757\"\u003e96GB GDDR7 Memory with ECC for Large AI Models\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp data-start=\"761\" data-end=\"1154\"\u003eEquipped with 96GB GDDR7 memory and ECC protection, the RTX PRO 6000 Blackwell Server Edition supports demanding AI workloads including large language models (LLMs), generative AI inference, model training, digital twins, simulation, and scientific computing. The large memory capacity enables handling of complex datasets and larger AI models while improving reliability and data integrity.\u003c\/p\u003e\n\u003ch3 data-start=\"1156\" data-end=\"1211\"\u003e\u003cstrong data-start=\"1156\" data-end=\"1209\"\u003eOptimized for AI, HPC and Enterprise Applications\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp data-start=\"1213\" data-end=\"1581\"\u003eThe RTX PRO 6000 Blackwell Server Edition is designed for data centers, AI labs, research institutions, and enterprises requiring accelerated computing resources. It supports AI development workflows, rendering, visualization, engineering simulations, digital content creation, and accelerated analytics while enabling scalable deployment within server environments.\u003c\/p\u003e\n\u003ch3 data-start=\"1583\" data-end=\"1639\"\u003e\u003cstrong data-start=\"1583\" data-end=\"1637\"\u003eBuilt for Modern Data Center and AI Infrastructure\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp data-start=\"1641\" data-end=\"1984\"\u003eDesigned for enterprise deployment, the server edition integrates into modern AI clusters and accelerated computing environments. It enables organizations to build scalable AI platforms supporting model development, inference, virtualization, and next-generation compute workloads while maintaining high reliability and enterprise readiness.\u003c\/p\u003e\n\u003ch3 data-start=\"1986\" data-end=\"2028\"\u003e\u003cstrong data-start=\"1986\" data-end=\"2026\"\u003eTechnical Specifications \u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp data-start=\"30\" data-end=\"530\"\u003e\u003cstrong data-start=\"30\" data-end=\"41\"\u003eGeneral\u003c\/strong\u003e\u003cbr data-start=\"41\" data-end=\"44\"\u003eModel: 900-2G153-0000-000\u003cbr data-start=\"69\" data-end=\"72\"\u003eProduct Name: NVIDIA RTX PRO™ 6000 Blackwell Server Edition 96 GB GDDR7 with ECC\u003cbr data-start=\"152\" data-end=\"155\"\u003eProduct Type: Professional Server GPU \/ AI Accelerator\u003cbr data-start=\"209\" data-end=\"212\"\u003eGPU Architecture: NVIDIA Blackwell\u003cbr data-start=\"246\" data-end=\"249\"\u003eDeployment: AI Factories, Enterprise AI, HPC, LLM Inference, Data Centers, Visualization Workloads\u003cbr data-start=\"347\" data-end=\"350\"\u003eForm Factor: Full Height Full Length (FHFL), Dual Slot\u003cbr data-start=\"404\" data-end=\"407\"\u003eCooling Design: Passive Cooling (Server Optimized)\u003cbr data-start=\"457\" data-end=\"460\"\u003eInterface: PCI Express 5.0 x16 \u003c\/p\u003e\n\u003cp data-start=\"532\" data-end=\"920\"\u003e\u003cstrong data-start=\"532\" data-end=\"565\"\u003eGPU Architecture \u0026amp; Processing\u003c\/strong\u003e\u003cbr data-start=\"565\" data-end=\"568\"\u003eGPU Architecture: NVIDIA Blackwell\u003cbr data-start=\"602\" data-end=\"605\"\u003eCUDA Cores: 24,064\u003cbr data-start=\"623\" data-end=\"626\"\u003eTensor Cores: 752 (5th Generation)\u003cbr data-start=\"660\" data-end=\"663\"\u003eRT Cores: 188 (4th Generation)\u003cbr data-start=\"693\" data-end=\"696\"\u003eAI Performance Features: FP4, FP8, FP16, BF16, Tensor Operations Support\u003cbr data-start=\"768\" data-end=\"771\"\u003eNeural Rendering Support: Supported\u003cbr data-start=\"806\" data-end=\"809\"\u003eDLSS 4 Multi Frame Generation: Supported\u003cbr data-start=\"849\" data-end=\"852\"\u003eRTX Mega Geometry: Supported \u003c\/p\u003e\n\u003cp data-start=\"922\" data-end=\"1176\"\u003e\u003cstrong data-start=\"922\" data-end=\"947\"\u003eMemory Specifications\u003c\/strong\u003e\u003cbr data-start=\"947\" data-end=\"950\"\u003eGPU Memory: 96 GB GDDR7 with ECC\u003cbr data-start=\"982\" data-end=\"985\"\u003eMemory Interface: 512-bit\u003cbr data-start=\"1010\" data-end=\"1013\"\u003eMemory Bandwidth: Up to 1,597 GB\/s (~1.6 TB\/s)\u003cbr data-start=\"1059\" data-end=\"1062\"\u003eECC Memory Protection: Supported\u003cbr data-start=\"1094\" data-end=\"1097\"\u003eHigh Capacity AI Memory Pool: Supported \u003c\/p\u003e\n\u003cp data-start=\"1178\" data-end=\"1525\"\u003e\u003cstrong data-start=\"1178\" data-end=\"1203\"\u003eAI \u0026amp; Compute Features\u003c\/strong\u003e\u003cbr data-start=\"1203\" data-end=\"1206\"\u003eAI Inference Acceleration: Supported\u003cbr data-start=\"1242\" data-end=\"1245\"\u003eGenerative AI Workloads: Supported\u003cbr data-start=\"1279\" data-end=\"1282\"\u003eLLM Fine Tuning: Supported\u003cbr data-start=\"1308\" data-end=\"1311\"\u003eRAG Workloads: Supported\u003cbr data-start=\"1335\" data-end=\"1338\"\u003eMultimodal AI: Supported\u003cbr data-start=\"1362\" data-end=\"1365\"\u003ePhysical AI: Supported\u003cbr data-start=\"1387\" data-end=\"1390\"\u003eScientific Computing: Supported\u003cbr data-start=\"1421\" data-end=\"1424\"\u003eMulti-Instance GPU (MIG): Up to 4 MIG partitions @ 24 GB each \u003c\/p\u003e\n\u003cp data-start=\"1527\" data-end=\"1838\"\u003e\u003cstrong data-start=\"1527\" data-end=\"1556\"\u003eRendering \u0026amp; Visualization\u003c\/strong\u003e\u003cbr data-start=\"1556\" data-end=\"1559\"\u003eReal-Time Ray Tracing: Supported\u003cbr data-start=\"1591\" data-end=\"1594\"\u003ePhotorealistic Rendering: Supported\u003cbr data-start=\"1629\" data-end=\"1632\"\u003e3D Modeling \u0026amp; CAD: Supported\u003cbr data-start=\"1660\" data-end=\"1663\"\u003eMedia \u0026amp; Entertainment Workloads: Supported\u003cbr data-start=\"1705\" data-end=\"1708\"\u003eArchitecture \/ Engineering Visualization: Supported\u003cbr data-start=\"1759\" data-end=\"1762\"\u003eVR Environment Processing: Supported \u003c\/p\u003e\n\u003cp data-start=\"1840\" data-end=\"2071\"\u003e\u003cstrong data-start=\"1840\" data-end=\"1865\"\u003eVideo Engine Features\u003c\/strong\u003e\u003cbr data-start=\"1865\" data-end=\"1868\"\u003eNVENC: 9th Generation\u003cbr data-start=\"1889\" data-end=\"1892\"\u003eNVDEC: 6th Generation\u003cbr data-start=\"1913\" data-end=\"1916\"\u003eAV1 Encoding: Supported\u003cbr data-start=\"1939\" data-end=\"1942\"\u003eHEVC Encoding: Supported\u003cbr data-start=\"1966\" data-end=\"1969\"\u003e4:2:2 H.264 Encoding: Supported\u003cbr data-start=\"2000\" data-end=\"2003\"\u003e4:2:2 HEVC Decode: Supported \u003c\/p\u003e\n\u003cp data-start=\"2073\" data-end=\"2326\"\u003e\u003cstrong data-start=\"2073\" data-end=\"2103\"\u003ePerformance Specifications\u003c\/strong\u003e\u003cbr data-start=\"2103\" data-end=\"2106\"\u003eSingle Precision Performance (FP32): Up to 120 TFLOPS\u003cbr data-start=\"2159\" data-end=\"2162\"\u003eRT Performance: Up to 355 TFLOPS\u003cbr data-start=\"2194\" data-end=\"2197\"\u003eAI Processing Optimization: FP4 Precision Support\u003cbr data-start=\"2246\" data-end=\"2249\"\u003eTransformer Engine Support: Supported \u003c\/p\u003e\n\u003cp data-start=\"2328\" data-end=\"2608\"\u003e\u003cstrong data-start=\"2328\" data-end=\"2347\"\u003ePower \u0026amp; Thermal\u003c\/strong\u003e\u003cbr data-start=\"2347\" data-end=\"2350\"\u003eMaximum Power Consumption: Up to 600W (Configurable)\u003cbr data-start=\"2402\" data-end=\"2405\"\u003ePower Range: 400W – 600W\u003cbr data-start=\"2429\" data-end=\"2432\"\u003eThermal Solution: Passive Cooling\u003cbr data-start=\"2465\" data-end=\"2468\"\u003eServer Rack Deployment: Optimized\u003cbr data-start=\"2501\" data-end=\"2504\"\u003eAir-Cooled Variant: Available\u003cbr data-start=\"2533\" data-end=\"2536\"\u003eLiquid-Cooled Variant: Available \u003c\/p\u003e\n\u003cp data-start=\"2610\" data-end=\"2830\"\u003e\u003cstrong data-start=\"2610\" data-end=\"2631\"\u003eSecurity Features\u003c\/strong\u003e\u003cbr data-start=\"2631\" data-end=\"2634\"\u003eConfidential Compute: Supported\u003cbr data-start=\"2665\" data-end=\"2668\"\u003eSecure Boot: Supported\u003cbr data-start=\"2690\" data-end=\"2693\"\u003eRoot of Trust: Supported\u003cbr data-start=\"2717\" data-end=\"2720\"\u003eECC Protection: Supported\u003cbr data-start=\"2745\" data-end=\"2748\"\u003eEnterprise Security Integration: Supported \u003c\/p\u003e\n\u003cp data-start=\"2832\" data-end=\"3041\"\u003e\u003cstrong data-start=\"2832\" data-end=\"2860\"\u003eConnectivity \u0026amp; Interface\u003c\/strong\u003e\u003cbr data-start=\"2860\" data-end=\"2863\"\u003eBus Interface: PCIe Gen 5 x16\u003cbr data-start=\"2892\" data-end=\"2895\"\u003eBidirectional Bandwidth: Up to 128 GB\/s\u003cbr data-start=\"2934\" data-end=\"2937\"\u003eServer Integration: Supported\u003cbr data-start=\"2966\" data-end=\"2969\"\u003eMulti-GPU Deployments: Supported \u003c\/p\u003e\n\u003cp data-start=\"3043\" data-end=\"3266\"\u003e\u003cstrong data-start=\"3043\" data-end=\"3070\"\u003ePhysical Specifications\u003c\/strong\u003e\u003cbr data-start=\"3070\" data-end=\"3073\"\u003eForm Factor: FHFL Dual Slot\u003cbr data-start=\"3100\" data-end=\"3103\"\u003eCard Height: 4.4 in\u003cbr data-start=\"3122\" data-end=\"3125\"\u003eCard Length: 10.5 in\u003cbr data-start=\"3145\" data-end=\"3148\"\u003eMounting Type: Server Rack Optimized\u003cbr data-start=\"3184\" data-end=\"3187\"\u003eCooling Style: Passive Server Cooling \u003c\/p\u003e\n\u003cp data-start=\"3268\" data-end=\"3542\"\u003e\u003cstrong data-start=\"3268\" data-end=\"3291\"\u003eSupported Workloads\u003c\/strong\u003e\u003cbr data-start=\"3291\" data-end=\"3294\"\u003eLLM Fine Tuning (\u0026lt;70B Parameters)\u003cbr data-start=\"3327\" data-end=\"3330\"\u003eLLM Inference\u003cbr data-start=\"3343\" data-end=\"3346\"\u003eRAG Deployments\u003cbr data-start=\"3361\" data-end=\"3364\"\u003eEnterprise AI Factories\u003cbr data-start=\"3387\" data-end=\"3390\"\u003eGenerative AI\u003cbr data-start=\"3403\" data-end=\"3406\"\u003eScientific Computing\u003cbr data-start=\"3426\" data-end=\"3429\"\u003eData Analytics\u003cbr data-start=\"3443\" data-end=\"3446\"\u003e3D Rendering\u003cbr data-start=\"3458\" data-end=\"3461\"\u003eSimulation Workloads\u003cbr data-start=\"3481\" data-end=\"3484\"\u003eVideo Processing \u003c\/p\u003e\n\u003cp data-start=\"3544\" data-end=\"3677\"\u003e\u003cstrong data-start=\"3544\" data-end=\"3564\"\u003ePackage Contents\u003c\/strong\u003e\u003cbr data-start=\"3564\" data-end=\"3567\"\u003eNVIDIA RTX PRO 6000 Blackwell Server Edition GPU\u003cbr data-start=\"3615\" data-end=\"3618\"\u003eServer Integration Documentation\u003cbr data-start=\"3650\" data-end=\"3653\"\u003eWarranty Documentation\u003c\/p\u003e\n\u003cp data-start=\"3679\" data-end=\"3965\"\u003e\u003cstrong data-start=\"3679\" data-end=\"3695\"\u003eKey Features\u003c\/strong\u003e\u003cbr data-start=\"3695\" data-end=\"3698\"\u003eNVIDIA Blackwell Architecture\u003cbr data-start=\"3727\" data-end=\"3730\"\u003e24,064 CUDA Cores\u003cbr data-start=\"3747\" data-end=\"3750\"\u003e96 GB GDDR7 ECC Memory\u003cbr data-start=\"3772\" data-end=\"3775\"\u003e1.6 TB\/s Memory Bandwidth\u003cbr data-start=\"3800\" data-end=\"3803\"\u003ePCIe 5.0 x16\u003cbr data-start=\"3815\" data-end=\"3818\"\u003e752 Tensor Cores (5th Gen)\u003cbr data-start=\"3844\" data-end=\"3847\"\u003e188 RT Cores (4th Gen)\u003cbr data-start=\"3869\" data-end=\"3872\"\u003eUp to 600W Configurable Power\u003cbr data-start=\"3901\" data-end=\"3904\"\u003eSupports up to 4 MIG partitions\u003cbr data-start=\"3935\" data-end=\"3938\"\u003eEnterprise AI \u0026amp; HPC Ready\u003c\/p\u003e\n\u003cp data-start=\"3967\" data-end=\"4207\"\u003e\u003cstrong data-start=\"3967\" data-end=\"3988\"\u003eTypical Use Cases\u003c\/strong\u003e\u003cbr data-start=\"3988\" data-end=\"3991\"\u003eEnterprise AI Infrastructure\u003cbr data-start=\"4019\" data-end=\"4022\"\u003eDGX \/ AI Factory Environments\u003cbr data-start=\"4051\" data-end=\"4054\"\u003eLLM Training \u0026amp; Inference\u003cbr data-start=\"4078\" data-end=\"4081\"\u003eRAG Systems\u003cbr data-start=\"4092\" data-end=\"4095\"\u003eScientific Simulation\u003cbr data-start=\"4116\" data-end=\"4119\"\u003eMedia Rendering Farms\u003cbr data-start=\"4140\" data-end=\"4143\"\u003eData Analytics Platforms\u003cbr data-start=\"4167\" data-end=\"4170\"\u003eHigh Performance Computing Clusters\u003c\/p\u003e","brand":"Nvidia","offers":[{"title":"Default Title","offer_id":51335995359396,"sku":"900-2G153-0000-000","price":22085.0,"currency_code":"SGD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0605\/0136\/0804\/files\/nvidia-rtx-pro-6000-blackwell-server-edition-3259490.webp?v=1779693427"},{"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-zbook-x-g1i-16-u7-255h-32gb-1tb-ssd-rtx-pro-1000-mobile-workstation","title":"HP ZBook X G1i 16 U7-255H\/ 32GB\/ 1TB SSD RTX PRO 1000 Mobile Workstation","description":"\u003ch2\u003e\u003cstrong\u003eHP ZBook X G1i 16 U7-255H\/ 32GB\/ 1TB SSD RTX PRO 1000 Mobile Workstation (DF7Q8AT) - 3 Year HP Limited Warranty \u003c\/strong\u003e\u003c\/h2\u003e\n\u003cp data-start=\"211\" data-end=\"278\" class=\"PDq2pG_selectionAnchorContainer\"\u003e\u003cstrong data-start=\"211\" data-end=\"276\"\u003eProfessional Mobile Workstation for AI and Creative Workflows\u003c\/strong\u003e\u003cspan aria-hidden=\"true\" class=\"PDq2pG_selectionAnchor\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp data-start=\"280\" data-end=\"883\"\u003eThe HP ZBook X G1i 16 is a powerful mobile workstation engineered for engineers, architects, designers, developers, and creative professionals who require workstation-class performance on the move. Powered by the Intel Core Ultra 7 255H processor, 32GB of DDR5 memory, a 1TB PCIe Gen4 NVMe SSD, and the NVIDIA RTX PRO 1000 Laptop GPU, it delivers exceptional performance for CAD, BIM, 3D modelling, AI development, rendering, simulation, video editing, and professional content creation. Running Windows 11 Pro, it offers the security, stability, and performance expected from HP's Z workstation family.\u003c\/p\u003e\n\u003cp data-start=\"885\" data-end=\"954\"\u003e\u003cstrong data-start=\"885\" data-end=\"952\"\u003eNVIDIA RTX PRO Graphics for Certified Professional Applications\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp data-start=\"956\" data-end=\"1379\"\u003eEquipped with the NVIDIA RTX PRO 1000 Laptop GPU, the ZBook X G1i accelerates graphics-intensive workloads and AI-enhanced applications while supporting ISV-certified software commonly used in engineering, architecture, manufacturing, media production, and scientific computing. The dedicated professional GPU delivers reliable performance for demanding workflows, ensuring compatibility with industry-leading applications.\u003c\/p\u003e\n\u003cp data-start=\"1381\" data-end=\"1433\"\u003e\u003cstrong data-start=\"1381\" data-end=\"1431\"\u003eLarge 16-Inch Display with Enterprise Mobility\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp data-start=\"1435\" data-end=\"1828\"\u003eThe 16-inch display provides an expansive workspace with sharp visuals and accurate colour reproduction, allowing professionals to work efficiently whether in the office, on-site, or remotely. Despite its workstation-class capabilities, the HP ZBook X G1i maintains a portable design, making it ideal for hybrid professionals who require desktop-level performance without sacrificing mobility.\u003c\/p\u003e\n\u003cp data-start=\"1830\" data-end=\"1881\"\u003e\u003cstrong data-start=\"1830\" data-end=\"1879\"\u003eEnterprise Security and Advanced Connectivity\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp data-start=\"1883\" data-end=\"2278\"\u003eBuilt for modern enterprises, the HP ZBook X G1i includes Windows 11 Pro, HP Wolf Security for Business, TPM 2.0, and advanced management features to protect sensitive business data. Comprehensive connectivity including Thunderbolt 4, USB-C, USB-A, HDMI, Wi-Fi 7, and Bluetooth ensures seamless integration with docking stations, multiple displays, storage devices, and professional peripherals.\u003c\/p\u003e\n\u003cp data-start=\"2280\" data-end=\"2322\"\u003e\u003cstrong data-start=\"2280\" data-end=\"2320\"\u003eTechnical Specifications\u003c\/strong\u003e\u003c\/p\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: HP ZBook X G1i 16 Mobile Workstation\u003cbr data-start=\"57\" data-end=\"60\"\u003ePart Number: DF7Q8AT\u003cbr data-start=\"80\" data-end=\"83\"\u003eProduct Name: HP ZBook X G1i 16 U7-255H \/ 32GB \/ 1TB SSD RTX PRO 1000 Mobile Workstation\u003cbr data-start=\"171\" data-end=\"174\"\u003eManufacturer: HP\u003cbr data-start=\"190\" data-end=\"193\"\u003eProduct Type: AI Mobile Workstation\u003cbr data-start=\"228\" data-end=\"231\"\u003eSeries: HP ZBook X G1i 16\u003cbr data-start=\"256\" data-end=\"259\"\u003eForm Factor: 16-inch Mobile Workstation\u003cbr data-start=\"298\" data-end=\"301\"\u003eOperating System: Windows 11 Pro\u003cbr data-start=\"333\" data-end=\"336\"\u003eProcessor Platform: Intel® Core™ Ultra Series 2 (Arrow Lake-H)\u003cbr data-start=\"398\" data-end=\"401\"\u003eAI PC Category: AI Workstation\u003cbr data-start=\"431\" data-end=\"434\"\u003eDeployment: CAD, BIM, AI Development, Engineering, Media Creation, Data Science, Enterprise\u003cbr data-start=\"525\" data-end=\"528\"\u003eWarranty: 3 Years Onsite Warranty (Configuration Dependent) \u003cspan class=\"\" data-state=\"closed\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp data-start=\"627\" data-end=\"1060\"\u003e\u003cstrong data-start=\"627\" data-end=\"655\"\u003eProcessor Specifications\u003c\/strong\u003e\u003cbr data-start=\"655\" data-end=\"658\"\u003eProcessor: Intel® Core™ Ultra 7 255H\u003cbr data-start=\"694\" data-end=\"697\"\u003eProcessor Architecture: Arrow Lake-H\u003cbr data-start=\"733\" data-end=\"736\"\u003eCPU Cores: 16 Cores (6 Performance + 8 Efficient + 2 Low Power Efficient)\u003cbr data-start=\"809\" data-end=\"812\"\u003eThreads: 16\u003cbr data-start=\"823\" data-end=\"826\"\u003eMaximum Turbo Frequency: Up to 5.1 GHz\u003cbr data-start=\"864\" data-end=\"867\"\u003eIntel® Smart Cache: 24MB\u003cbr data-start=\"891\" data-end=\"894\"\u003eIntel® AI Boost NPU: Up to 13 TOPS\u003cbr data-start=\"928\" data-end=\"931\"\u003eIntel® Turbo Boost Technology: Supported\u003cbr data-start=\"971\" data-end=\"974\"\u003eIntel® vPro® Enterprise: Configuration Dependent \u003cspan class=\"\" data-state=\"closed\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp data-start=\"1062\" data-end=\"1529\"\u003e\u003cstrong data-start=\"1062\" data-end=\"1089\"\u003eGraphics Specifications\u003c\/strong\u003e\u003cbr data-start=\"1089\" data-end=\"1092\"\u003eGraphics Controller: NVIDIA RTX PRO™ 1000 Blackwell Laptop GPU\u003cbr data-start=\"1154\" data-end=\"1157\"\u003eGraphics Memory: 8GB GDDR7 Dedicated Memory\u003cbr data-start=\"1200\" data-end=\"1203\"\u003eIntegrated Graphics: Intel® Arc™ Graphics\u003cbr data-start=\"1244\" data-end=\"1247\"\u003eRay Tracing: Supported\u003cbr data-start=\"1269\" data-end=\"1272\"\u003eCUDA Technology: Supported\u003cbr data-start=\"1298\" data-end=\"1301\"\u003eTensor Cores: Supported\u003cbr data-start=\"1324\" data-end=\"1327\"\u003eAI-Accelerated Workflows: Supported\u003cbr data-start=\"1362\" data-end=\"1365\"\u003eISV Certified Graphics: Supported\u003cbr data-start=\"1398\" data-end=\"1401\"\u003eOpenGL: Supported\u003cbr data-start=\"1418\" data-end=\"1421\"\u003eDirectX 12 Ultimate: Supported\u003cbr data-start=\"1451\" data-end=\"1454\"\u003eMultiple External Displays: Supported \u003cspan class=\"\" data-state=\"closed\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp data-start=\"1531\" data-end=\"1778\"\u003e\u003cstrong data-start=\"1531\" data-end=\"1556\"\u003eMemory Specifications\u003c\/strong\u003e\u003cbr data-start=\"1556\" data-end=\"1559\"\u003eInstalled Memory: 32GB DDR5-5600\u003cbr data-start=\"1591\" data-end=\"1594\"\u003eMemory Configuration: 1 × 32GB\u003cbr data-start=\"1624\" data-end=\"1627\"\u003eMemory Slots: 2 × DDR5 SODIMM\u003cbr data-start=\"1656\" data-end=\"1659\"\u003eMaximum Memory Capacity: 64GB\u003cbr data-start=\"1688\" data-end=\"1691\"\u003eDual Channel Memory: Supported\u003cbr data-start=\"1721\" data-end=\"1724\"\u003eUpgradeable: Yes \u003cspan class=\"\" data-state=\"closed\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp data-start=\"1780\" data-end=\"2080\"\u003e\u003cstrong data-start=\"1780\" data-end=\"1806\"\u003eStorage Specifications\u003c\/strong\u003e\u003cbr data-start=\"1806\" data-end=\"1809\"\u003eInstalled Storage: 1TB PCIe Gen4 NVMe SSD\u003cbr data-start=\"1850\" data-end=\"1853\"\u003eSSD Interface: PCIe Gen4 x4 NVMe\u003cbr data-start=\"1885\" data-end=\"1888\"\u003eSSD Form Factor: M.2 2280\u003cbr data-start=\"1913\" data-end=\"1916\"\u003eStorage Expansion: Dual M.2 PCIe NVMe Slots (Configuration Dependent)\u003cbr data-start=\"1985\" data-end=\"1988\"\u003eSelf-Encrypting OPAL SSD: Supported on Selected Models \u003cspan class=\"\" data-state=\"closed\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp data-start=\"2082\" data-end=\"2459\"\u003e\u003cstrong data-start=\"2082\" data-end=\"2108\"\u003eDisplay Specifications\u003c\/strong\u003e\u003cbr data-start=\"2108\" data-end=\"2111\"\u003eDisplay Size: 16 Inches\u003cbr data-start=\"2134\" data-end=\"2137\"\u003eResolution: WUXGA (1920 × 1200)\u003cbr data-start=\"2168\" data-end=\"2171\"\u003ePanel Type: IPS UWVA Anti-Glare Touch Display\u003cbr data-start=\"2216\" data-end=\"2219\"\u003eAspect Ratio: 16:10\u003cbr data-start=\"2238\" data-end=\"2241\"\u003eBrightness: 300 nits\u003cbr data-start=\"2261\" data-end=\"2264\"\u003eRefresh Rate: 60Hz\u003cbr data-start=\"2282\" data-end=\"2285\"\u003eTouchscreen: Yes\u003cbr data-start=\"2301\" data-end=\"2304\"\u003eColor Gamut: 62.5% sRGB\u003cbr data-start=\"2327\" data-end=\"2330\"\u003eLow Blue Light: Supported\u003cbr data-start=\"2355\" data-end=\"2358\"\u003eOptional DreamColor Displays: Available on Other Configurations \u003cspan class=\"\" data-state=\"closed\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp data-start=\"2461\" data-end=\"2675\"\u003e\u003cstrong data-start=\"2461\" data-end=\"2485\"\u003eAudio Specifications\u003c\/strong\u003e\u003cbr data-start=\"2485\" data-end=\"2488\"\u003eAudio by Poly Studio\u003cbr data-start=\"2508\" data-end=\"2511\"\u003eDual Stereo Speakers\u003cbr data-start=\"2531\" data-end=\"2534\"\u003eDual Array Microphones\u003cbr data-start=\"2556\" data-end=\"2559\"\u003eAI Noise Reduction\u003cbr data-start=\"2577\" data-end=\"2580\"\u003eIntegrated Digital Microphones\u003cbr data-start=\"2610\" data-end=\"2613\"\u003ePremium Conference Audio \u003cspan class=\"\" data-state=\"closed\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp data-start=\"2677\" data-end=\"2861\"\u003e\u003cstrong data-start=\"2677\" data-end=\"2702\"\u003eCamera Specifications\u003c\/strong\u003e\u003cbr data-start=\"2702\" data-end=\"2705\"\u003e5MP IR Webcam\u003cbr data-start=\"2718\" data-end=\"2721\"\u003eWindows Hello Facial Recognition\u003cbr data-start=\"2753\" data-end=\"2756\"\u003ePrivacy Shutter\u003cbr data-start=\"2771\" data-end=\"2774\"\u003eTemporal Noise Reduction\u003cbr data-start=\"2798\" data-end=\"2801\"\u003eAI Camera Enhancements \u003cspan class=\"\" data-state=\"closed\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp data-start=\"2863\" data-end=\"3039\"\u003e\u003cstrong data-start=\"2863\" data-end=\"2888\"\u003eWireless Connectivity\u003c\/strong\u003e\u003cbr data-start=\"2888\" data-end=\"2891\"\u003eWi-Fi 7 (Intel® BE201)\u003cbr data-start=\"2913\" data-end=\"2916\"\u003eBluetooth® 5.4\u003cbr data-start=\"2930\" data-end=\"2933\"\u003eOptional 5G WWAN (Configuration Dependent)\u003cbr data-start=\"2975\" data-end=\"2978\"\u003eGigabit Ethernet (RJ45) \u003cspan class=\"\" data-state=\"closed\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp data-start=\"3041\" data-end=\"3331\"\u003e\u003cstrong data-start=\"3041\" data-end=\"3065\"\u003ePorts \u0026amp; Connectivity\u003c\/strong\u003e\u003cbr data-start=\"3065\" data-end=\"3068\"\u003e2 × Thunderbolt™ 4 (USB-C, 40Gbps)\u003cbr data-start=\"3102\" data-end=\"3105\"\u003e2 × USB Type-A 10Gbps\u003cbr data-start=\"3126\" data-end=\"3129\"\u003e1 × HDMI 2.1\u003cbr data-start=\"3141\" data-end=\"3144\"\u003e1 × RJ45 Gigabit Ethernet\u003cbr data-start=\"3169\" data-end=\"3172\"\u003e1 × 3.5mm Headphone\/Microphone Combo Jack\u003cbr data-start=\"3213\" data-end=\"3216\"\u003e1 × Smart Card Reader (Configuration Dependent)\u003cbr data-start=\"3263\" data-end=\"3266\"\u003e1 × Nano Security Lock Slot \u003cspan class=\"\" data-state=\"closed\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp data-start=\"3333\" data-end=\"3564\"\u003e\u003cstrong data-start=\"3333\" data-end=\"3353\"\u003eKeyboard \u0026amp; Input\u003c\/strong\u003e\u003cbr data-start=\"3353\" data-end=\"3356\"\u003eFull-Size Spill-Resistant Keyboard\u003cbr data-start=\"3390\" data-end=\"3393\"\u003eBacklit Keyboard\u003cbr data-start=\"3409\" data-end=\"3412\"\u003eNumeric Keypad\u003cbr data-start=\"3426\" data-end=\"3429\"\u003eLarge Precision Touchpad\u003cbr data-start=\"3453\" data-end=\"3456\"\u003eFingerprint Reader (Configuration Dependent)\u003cbr data-start=\"3500\" data-end=\"3503\"\u003eMicrosoft Copilot Key \u003cspan class=\"\" data-state=\"closed\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp data-start=\"3566\" data-end=\"3866\"\u003e\u003cstrong data-start=\"3566\" data-end=\"3587\"\u003eSecurity Features\u003c\/strong\u003e\u003cbr data-start=\"3587\" data-end=\"3590\"\u003eHP Wolf Security for Business\u003cbr data-start=\"3619\" data-end=\"3622\"\u003eHP Sure Start\u003cbr data-start=\"3635\" data-end=\"3638\"\u003eHP Sure Click\u003cbr data-start=\"3651\" data-end=\"3654\"\u003eHP Sure Recover\u003cbr data-start=\"3669\" data-end=\"3672\"\u003eHP Sure Sense\u003cbr data-start=\"3685\" data-end=\"3688\"\u003eTrusted Platform Module (TPM 2.0)\u003cbr data-start=\"3721\" data-end=\"3724\"\u003eWindows Hello IR Camera\u003cbr data-start=\"3747\" data-end=\"3750\"\u003eFingerprint Reader (Configuration Dependent)\u003cbr data-start=\"3794\" data-end=\"3797\"\u003eBIOS Protection\u003cbr data-start=\"3812\" data-end=\"3815\"\u003eSecure Boot \u003cspan class=\"\" data-state=\"closed\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp data-start=\"3868\" data-end=\"4150\"\u003e\u003cstrong data-start=\"3868\" data-end=\"3894\"\u003eBattery Specifications\u003c\/strong\u003e\u003cbr data-start=\"3894\" data-end=\"3897\"\u003eBattery Type: 6-Cell Lithium-Ion Polymer\u003cbr data-start=\"3937\" data-end=\"3940\"\u003eBattery Capacity: 83Wh\u003cbr data-start=\"3962\" data-end=\"3965\"\u003eHP Fast Charge: Up to 50% in Approximately 30 Minutes\u003cbr data-start=\"4018\" data-end=\"4021\"\u003ePower Adapter: 150W HP Smart AC Adapter\u003cbr data-start=\"4060\" data-end=\"4063\"\u003eUSB-C Charging Support: Configuration Dependent \u003cspan class=\"\" data-state=\"closed\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp data-start=\"4152\" data-end=\"4391\"\u003e\u003cstrong data-start=\"4152\" data-end=\"4175\"\u003eManagement Features\u003c\/strong\u003e\u003cbr data-start=\"4175\" data-end=\"4178\"\u003eHP Image Assistant\u003cbr data-start=\"4196\" data-end=\"4199\"\u003eHP Client Management Script Library\u003cbr data-start=\"4234\" data-end=\"4237\"\u003eHP Connect for Microsoft Endpoint Manager\u003cbr data-start=\"4278\" data-end=\"4281\"\u003eMicrosoft Autopilot Ready\u003cbr data-start=\"4306\" data-end=\"4309\"\u003eHP Smart Support\u003cbr data-start=\"4325\" data-end=\"4328\"\u003eFirmware Update Support \u003cspan class=\"\" data-state=\"closed\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp data-start=\"4393\" data-end=\"4585\"\u003e\u003cstrong data-start=\"4393\" data-end=\"4405\"\u003eSoftware\u003c\/strong\u003e\u003cbr data-start=\"4405\" data-end=\"4408\"\u003eOperating System: Windows 11 Pro\u003cbr data-start=\"4440\" data-end=\"4443\"\u003eMicrosoft Copilot Support\u003cbr data-start=\"4468\" data-end=\"4471\"\u003eHP Support Assistant\u003cbr data-start=\"4491\" data-end=\"4494\"\u003eHP PC Hardware Diagnostics\u003cbr data-start=\"4520\" data-end=\"4523\"\u003eHP Wolf Security Suite \u003cspan class=\"\" data-state=\"closed\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp data-start=\"4587\" data-end=\"4797\"\u003e\u003cstrong data-start=\"4587\" data-end=\"4619\"\u003eEnvironmental Specifications\u003c\/strong\u003e\u003cbr data-start=\"4619\" data-end=\"4622\"\u003eMIL-STD-810H Certified\u003cbr data-start=\"4644\" data-end=\"4647\"\u003eENERGY STAR® Certified\u003cbr data-start=\"4669\" data-end=\"4672\"\u003eEPEAT® Registered (Configuration Dependent)\u003cbr data-start=\"4715\" data-end=\"4718\"\u003eRecycled Materials Used in Construction \u003cspan class=\"\" data-state=\"closed\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp data-start=\"4799\" data-end=\"5010\"\u003e\u003cstrong data-start=\"4799\" data-end=\"4824\"\u003eDesign \u0026amp; Construction\u003c\/strong\u003e\u003cbr data-start=\"4824\" data-end=\"4827\"\u003eColor: Meteor Silver\u003cbr data-start=\"4847\" data-end=\"4850\"\u003eChassis Material: Premium All-Aluminum Chassis\u003cbr data-start=\"4896\" data-end=\"4899\"\u003eMIL-STD-810H Durability Tested\u003cbr data-start=\"4929\" data-end=\"4932\"\u003eProfessional Mobile Workstation Design \u003cspan class=\"\" data-state=\"closed\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp data-start=\"5012\" data-end=\"5182\"\u003e\u003cstrong data-start=\"5012\" data-end=\"5039\"\u003ePhysical Specifications\u003c\/strong\u003e\u003cbr data-start=\"5039\" data-end=\"5042\"\u003eDimensions (W × D × H): 359.4 × 251 × 22.9 mm\u003cbr data-start=\"5087\" data-end=\"5090\"\u003eWeight: Starting from 2.04 kg\u003cbr data-start=\"5119\" data-end=\"5122\"\u003eColor: Meteor Silver \u003cspan class=\"\" data-state=\"closed\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp data-start=\"5184\" data-end=\"5368\"\u003e\u003cstrong data-start=\"5184\" data-end=\"5204\"\u003ePackage Contents\u003c\/strong\u003e\u003cbr data-start=\"5204\" data-end=\"5207\"\u003eHP ZBook X G1i 16 Mobile Workstation\u003cbr data-start=\"5243\" data-end=\"5246\"\u003e150W HP Smart AC Adapter\u003cbr data-start=\"5270\" data-end=\"5273\"\u003ePower Cord\u003cbr data-start=\"5283\" data-end=\"5286\"\u003eQuick Setup Guide\u003cbr data-start=\"5303\" data-end=\"5306\"\u003eWarranty Documentation \u003cspan class=\"\" data-state=\"closed\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp data-start=\"5370\" data-end=\"5857\"\u003e\u003cstrong data-start=\"5370\" data-end=\"5386\"\u003eKey Features\u003c\/strong\u003e\u003cbr data-start=\"5386\" data-end=\"5389\"\u003eIntel® Core™ Ultra 7 255H Processor\u003cbr data-start=\"5424\" data-end=\"5427\"\u003eNVIDIA RTX PRO™ 1000 Blackwell Laptop GPU (8GB GDDR7)\u003cbr data-start=\"5480\" data-end=\"5483\"\u003e32GB DDR5-5600 Memory\u003cbr data-start=\"5504\" data-end=\"5507\"\u003e1TB PCIe Gen4 NVMe SSD\u003cbr data-start=\"5529\" data-end=\"5532\"\u003e16-inch WUXGA IPS Touch Display\u003cbr data-start=\"5563\" data-end=\"5566\"\u003eWindows 11 Pro\u003cbr data-start=\"5580\" data-end=\"5583\"\u003eIntel® AI Boost NPU\u003cbr data-start=\"5602\" data-end=\"5605\"\u003eWi-Fi 7 \u0026amp; Bluetooth® 5.4\u003cbr data-start=\"5629\" data-end=\"5632\"\u003eThunderbolt™ 4 Connectivity\u003cbr data-start=\"5659\" data-end=\"5662\"\u003eRJ45 Gigabit Ethernet\u003cbr data-start=\"5683\" data-end=\"5686\"\u003eHP Wolf Security Suite\u003cbr data-start=\"5708\" data-end=\"5711\"\u003e5MP IR Camera with Windows Hello\u003cbr data-start=\"5743\" data-end=\"5746\"\u003eMIL-STD-810H Certified Chassis\u003cbr data-start=\"5776\" data-end=\"5779\"\u003eISV Certified Professional Workstation \u003cspan class=\"\" data-state=\"closed\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp data-start=\"5859\" data-end=\"6718\"\u003e\u003cstrong data-start=\"5859\" data-end=\"5885\"\u003ePerformance \u0026amp; Features\u003c\/strong\u003e\u003cbr data-start=\"5885\" data-end=\"5888\"\u003eThe HP ZBook X G1i 16 is engineered for professionals who require certified workstation performance in a portable form factor. Powered by the Intel® Core™ Ultra 7 255H processor and NVIDIA RTX PRO™ 1000 Blackwell GPU with 8GB GDDR7 memory, it delivers exceptional performance for CAD, BIM, 3D modeling, AI development, data science, engineering simulation, video editing, and content creation. ISV certifications ensure compatibility with leading professional software such as Autodesk, SOLIDWORKS, Siemens NX, Adobe Creative Cloud, and Dassault Systèmes applications. The premium aluminum chassis, Thunderbolt™ 4 connectivity, Wi-Fi 7, enterprise-grade HP Wolf Security, and upgradeable DDR5 memory make it an ideal workstation for professionals working both in the office and on the move. \u003cspan class=\"\" data-state=\"closed\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp data-start=\"6720\" data-end=\"6743\"\u003e\u003cstrong data-start=\"6720\" data-end=\"6741\"\u003eTypical Use Cases\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul data-start=\"6744\" data-end=\"7261\" data-is-last-node=\"\" data-is-only-node=\"\"\u003e\n\u003cli data-section-id=\"15igxkl\" data-start=\"6744\" data-end=\"6764\"\u003eCAD \u0026amp; CAM Design\u003c\/li\u003e\n\u003cli data-section-id=\"1e8hfme\" data-start=\"6765\" data-end=\"6804\"\u003eBIM \u0026amp; Architecture (Autodesk Revit)\u003c\/li\u003e\n\u003cli data-section-id=\"1bdon6q\" data-start=\"6805\" data-end=\"6831\"\u003eEngineering Simulation\u003c\/li\u003e\n\u003cli data-section-id=\"19rxe4c\" data-start=\"6832\" data-end=\"6859\"\u003e3D Modeling \u0026amp; Rendering\u003c\/li\u003e\n\u003cli data-section-id=\"10obqcc\" data-start=\"6860\" data-end=\"6884\"\u003eAI Model Development\u003c\/li\u003e\n\u003cli data-section-id=\"1gals8r\" data-start=\"6885\" data-end=\"6920\"\u003eMachine Learning \u0026amp; Data Science\u003c\/li\u003e\n\u003cli data-section-id=\"9evbvs\" data-start=\"6921\" data-end=\"6956\"\u003eVideo Editing \u0026amp; Motion Graphics\u003c\/li\u003e\n\u003cli data-section-id=\"93fs0f\" data-start=\"6957\" data-end=\"6991\"\u003eAdobe Creative Cloud Workflows\u003c\/li\u003e\n\u003cli data-section-id=\"12la75g\" data-start=\"6992\" data-end=\"7016\"\u003eSoftware Development\u003c\/li\u003e\n\u003cli data-section-id=\"28uf8g\" data-start=\"7017\" data-end=\"7047\"\u003eGIS \u0026amp; Scientific Computing\u003c\/li\u003e\n\u003cli data-section-id=\"1cg2m9a\" data-start=\"7048\" data-end=\"7070\"\u003eFinancial Modeling\u003c\/li\u003e\n\u003cli data-section-id=\"1wxoin\" data-start=\"7071\" data-end=\"7115\"\u003eEnterprise Mobile Workstation Deployment\u003c\/li\u003e\n\u003cli data-section-id=\"1op7uxx\" data-start=\"7116\" data-end=\"7154\"\u003eGovernment \u0026amp; Research Institutions\u003c\/li\u003e\n\u003cli data-section-id=\"vu0fr\" data-start=\"7155\" data-end=\"7189\"\u003eProduct Design \u0026amp; Manufacturing\u003c\/li\u003e\n\u003cli data-section-id=\"ufarb2\" data-start=\"7190\" data-end=\"7261\" data-is-last-node=\"\"\u003eProfessional Content Creation\u003c\/li\u003e\n\u003c\/ul\u003e","brand":"HP","offers":[{"title":"Default Title","offer_id":51407771500708,"sku":"DF7Q8AT","price":5215.0,"currency_code":"SGD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0605\/0136\/0804\/files\/hp-zbook-x-g1i-16-u7-255h-32gb-1tb-ssd-rtx-pro-1000-mobile-workstation-2108831.jpg?v=1784784371"}],"url":"https:\/\/sourceit.com.sg\/collections\/ai-workstations-ai-servers.oembed","provider":"SourceIT ","version":"1.0","type":"link"}