{"product_id":"gigabyte-w775-v10-l01-deskside-ai-supercomputer-with-nvidia-gb300-blackwell","title":"GIGABYTE W775-V10-L01 Deskside AI Supercomputer with NVIDIA GB300 Blackwell","description":"\u003cdiv class=\"sitw775\"\u003e\n\u003cstyle\u003e\n.sitw775{position:relative;overflow:hidden;background:radial-gradient(ellipse at 50% -20%,rgba(118,185,0,.18),transparent 55%),radial-gradient(ellipse at 85% 110%,rgba(34,211,238,.12),transparent 50%),#0a0e1a;border-radius:18px;padding:38px 24px 30px;margin:0 0 30px;color:#e6edf6;text-align:center}\n.sitw775 *{box-sizing:border-box}\n.sitw775-badge{display:inline-block;padding:6px 16px;border:1px solid rgba(118,185,0,.55);border-radius:999px;font-size:12px;letter-spacing:2px;text-transform:uppercase;color:#9be32e;animation:sitw775pulse 2.8s ease-in-out infinite}\n.sitw775-title{font-size:clamp(24px,4vw,40px);font-weight:800;line-height:1.15;margin:16px auto 8px;max-width:760px;background:linear-gradient(90deg,#76b900,#22d3ee,#ff7a00,#76b900);background-size:300% 100%;-webkit-background-clip:text;background-clip:text;color:transparent;-webkit-text-fill-color:transparent;animation:sitw775grad 7s linear infinite}\n.sitw775-sub{color:#9fb0c7;font-size:15px;line-height:1.55;max-width:640px;margin:0 auto 26px}\n.sitw775-grid{display:grid;grid-template-columns:repeat(6,1fr);gap:12px;max-width:1100px;margin:0 auto}\n@media (max-width:900px){.sitw775-grid{grid-template-columns:repeat(3,1fr)}}\n@media (max-width:520px){.sitw775-grid{grid-template-columns:repeat(2,1fr)}}\n.sitw775-tile{position:relative;overflow:hidden;background:rgba(255,255,255,.045);border:1px solid rgba(255,255,255,.11);border-radius:14px;padding:18px 8px;opacity:0;animation:sitw775rise .8s ease forwards}\n.sitw775-tile:nth-child(1){animation-delay:.1s}.sitw775-tile:nth-child(2){animation-delay:.25s}.sitw775-tile:nth-child(3){animation-delay:.4s}.sitw775-tile:nth-child(4){animation-delay:.55s}.sitw775-tile:nth-child(5){animation-delay:.7s}.sitw775-tile:nth-child(6){animation-delay:.85s}\n.sitw775-tile::after{content:\"\";position:absolute;top:0;left:-130%;width:60%;height:100%;background:linear-gradient(105deg,transparent,rgba(255,255,255,.17),transparent);animation:sitw775shine 4.2s ease-in-out infinite}\n.sitw775-tile:nth-child(2)::after{animation-delay:.5s}.sitw775-tile:nth-child(3)::after{animation-delay:1s}.sitw775-tile:nth-child(4)::after{animation-delay:1.5s}.sitw775-tile:nth-child(5)::after{animation-delay:2s}.sitw775-tile:nth-child(6)::after{animation-delay:2.5s}\n.sitw775-num{font-size:clamp(18px,1.8vw,24px);font-weight:800;color:#fff;line-height:1.1}\n.sitw775-num em{font-style:normal;color:#9be32e}\n.sitw775-lab{font-size:10px;letter-spacing:1px;text-transform:uppercase;color:#8fa1b8;margin-top:6px;line-height:1.4}\n@keyframes sitw775grad{0%{background-position:0% 50%}100%{background-position:300% 50%}}\n@keyframes sitw775pulse{0%,100%{box-shadow:0 0 0 rgba(118,185,0,0)}50%{box-shadow:0 0 18px rgba(118,185,0,.4)}}\n@keyframes sitw775rise{from{opacity:0;transform:translateY(18px)}to{opacity:1;transform:translateY(0)}}\n@keyframes sitw775shine{0%{left:-130%}55%{left:135%}100%{left:135%}}\n@media (prefers-reduced-motion:reduce){.sitw775,.sitw775 *,.sitw775 .sitw775-tile{animation:none!important;opacity:1!important}}\n\u003c\/style\u003e\n\u003cspan class=\"sitw775-badge\"\u003eGIGABYTE AI TOP · Deskside AI Supercomputer\u003c\/span\u003e\n\u003cdiv class=\"sitw775-title\"\u003eNVIDIA GB300 Grace Blackwell Ultra\u003c\/div\u003e\n\u003cp class=\"sitw775-sub\"\u003eDatacenter-class AI at your desk. Train, fine-tune and deploy trillion-parameter models fully on-premises — with closed-loop liquid cooling and enterprise-grade 24×7 reliability.\u003c\/p\u003e\n\u003cdiv class=\"sitw775-grid\"\u003e\n\u003cdiv class=\"sitw775-tile\"\u003e\n\u003cdiv class=\"sitw775-num\"\u003e20 \u003cem\u003ePFLOPS\u003c\/em\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"sitw775-lab\"\u003eFP4 AI Compute\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"sitw775-tile\"\u003e\n\u003cdiv class=\"sitw775-num\"\u003e748 \u003cem\u003eGB\u003c\/em\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"sitw775-lab\"\u003eUnified Coherent Memory\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"sitw775-tile\"\u003e\n\u003cdiv class=\"sitw775-num\"\u003e72 \u003cem\u003eCores\u003c\/em\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"sitw775-lab\"\u003eNVIDIA Grace CPU\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"sitw775-tile\"\u003e\n\u003cdiv class=\"sitw775-num\"\u003e7.1 \u003cem\u003eTB\/s\u003c\/em\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"sitw775-lab\"\u003eHBM3E GPU Bandwidth\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"sitw775-tile\"\u003e\n\u003cdiv class=\"sitw775-num\"\u003e800 \u003cem\u003eGb\/s\u003c\/em\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"sitw775-lab\"\u003eConnectX-8 Networking\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"sitw775-tile\"\u003e\n\u003cdiv class=\"sitw775-num\"\u003e1 \u003cem\u003eTrillion\u003c\/em\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"sitw775-lab\"\u003eParameter Model Support\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003ch2\u003e\u003cstrong\u003eGIGABYTE W775-V10-L01 NVIDIA GB300 AI Supercomputer, 72-Core Grace CPU, 748GB Memory \u0026amp; Dual 400Gb Networking - Local Warranty \u003c\/strong\u003e\u003c\/h2\u003e\n\u003ch3 class=\"PDq2pG_selectionAnchorContainer\"\u003e\n\u003cstrong\u003eEnterprise AI Supercomputer Powered by NVIDIA GB300 Grace Blackwell Ultra\u003c\/strong\u003e\u003cspan class=\"PDq2pG_selectionAnchor\"\u003e\u003c\/span\u003e\n\u003c\/h3\u003e\n\u003cp\u003eThe GIGABYTE W775-V10-L01 is a next-generation AI supercomputer built to accelerate the most demanding artificial intelligence, machine learning, and high-performance computing workloads. Powered by the NVIDIA GB300 Grace Blackwell Ultra Superchip, the system delivers up to \u003cstrong\u003e20 PFLOPS of AI compute\u003c\/strong\u003e, enabling enterprises to train, fine-tune, and deploy large language models (LLMs), generative AI applications, AI agents, computer vision models, and scientific simulations entirely on-premises. Designed for organisations requiring maximum performance and complete data sovereignty, it is an ideal solution for enterprise AI, research, and advanced engineering environments.\u003c\/p\u003e\n\u003ch3\u003e\u003cstrong\u003e748GB Coherent Unified Memory for Massive AI Models\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp\u003eThe GIGABYTE W775-V10-L01 features \u003cstrong\u003e748GB of coherent unified memory\u003c\/strong\u003e, allowing AI models and large datasets to reside within a single high-speed memory space. This advanced architecture significantly reduces data transfer bottlenecks between the CPU and GPU, improving performance for AI inferencing, retrieval-augmented generation (RAG), foundation model fine-tuning, digital twins, engineering simulations, cybersecurity analytics, and large-scale scientific research.\u003c\/p\u003e\n\u003ch3\u003e\u003cstrong\u003e72-Core NVIDIA Grace CPU with Dual 400Gb Networking\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp\u003eAt the heart of the system is the \u003cstrong\u003e72-core NVIDIA Grace Arm Neoverse V2 CPU\u003c\/strong\u003e, tightly integrated with the NVIDIA Blackwell Ultra GPU for exceptional memory bandwidth and processing efficiency. Dual \u003cstrong\u003eNVIDIA ConnectX®-8 400GbE networking\u003c\/strong\u003e provides ultra-low latency, high-bandwidth connectivity, making the workstation ideal for distributed AI training, clustered deployments, and enterprise-scale high-performance computing environments.\u003c\/p\u003e\n\u003ch3\u003e\u003cstrong\u003eBuilt for Private AI Infrastructure and Enterprise Deployment\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp\u003eDesigned for continuous enterprise operation, the GIGABYTE W775-V10-L01 includes advanced liquid cooling, enterprise-grade reliability, high-speed PCIe Gen5 expansion, and remote management capabilities for mission-critical deployments. Whether deployed as a standalone AI workstation or integrated into a private AI cloud, it delivers the scalability, performance, and security required for healthcare, financial services, manufacturing, autonomous systems, government agencies, and AI research laboratories.\u003c\/p\u003e\n\u003ch3\u003e\u003cstrong\u003eTechnical Specifications\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp\u003e\u003cstrong\u003eGeneral\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eModel: W775-V10-L01\u003cbr\u003eProduct Name: GIGABYTE W775-V10-L01 NVIDIA GB300 AI Supercomputer, 72-Core Grace CPU, 748GB Memory \u0026amp; Dual 400Gb Networking\u003cbr\u003eManufacturer: GIGABYTE\u003cbr\u003eProduct Series: GIGABYTE AI TOP Workstation\u003cbr\u003eProduct Type: Enterprise AI Supercomputer \/ AI Workstation\u003cbr\u003eCompute Platform: NVIDIA GB300 Grace Blackwell Ultra Desktop Superchip\u003cbr\u003eProcessor Architecture: NVIDIA Grace CPU + NVIDIA Blackwell Ultra GPU\u003cbr\u003eCPU Platform: NVIDIA Grace CPU Superchip\u003cbr\u003eGPU Platform: NVIDIA Blackwell Ultra GPU\u003cbr\u003eSystem Architecture: Unified Coherent CPU-GPU Computing Platform\u003cbr\u003eCooling System: Closed-Loop Liquid Cooling Solution\u003cbr\u003ePower Supply: 1600W ATX 80 PLUS Platinum Power Supply\u003cbr\u003eOperating System: Ubuntu Linux AI Environment (Configuration Dependent)\u003cbr\u003eDeployment: AI Training, AI Inferencing, AI Agents, Machine Learning, Deep Learning, HPC, Scientific Research and Enterprise AI Development\u003cbr\u003eTarget Users: AI Developers, Research Institutions, Universities, Government Agencies, Enterprises, Data Scientists and Engineering Teams\u003cbr\u003eWarranty: GIGABYTE Enterprise Warranty (Configuration Dependent)\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eProcessor Specifications\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eProcessor Platform: NVIDIA GB300 Grace Blackwell Ultra Desktop Superchip\u003cbr\u003eProcessor Quantity: 1\u003cbr\u003eCPU Model: NVIDIA Grace CPU\u003cbr\u003eCPU Architecture: Arm\u003cbr\u003eCPU Core Architecture: Arm Neoverse V2\u003cbr\u003eCPU Core Count: 72 Cores\u003cbr\u003eGPU Architecture: NVIDIA Blackwell Ultra\u003cbr\u003eCPU-GPU Interconnect: NVIDIA NVLink-C2C\u003cbr\u003eUnified CPU-GPU Architecture: Supported\u003cbr\u003eUnified Address Space: Supported\u003cbr\u003eCoherent CPU-GPU Memory Access: Supported\u003cbr\u003eLarge-Scale Parallel Computing: Supported\u003cbr\u003eHigh-Speed CPU-GPU Data Exchange: Supported\u003cbr\u003eScientific Computing: Supported\u003cbr\u003eHigh-Performance Computing: Supported\u003cbr\u003eContinuous AI Processing: Supported\u003cbr\u003eOptimized for Enterprise AI Workloads\u003cbr\u003eOptimized for Foundation Models\u003cbr\u003eOptimized for Large Language Models\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eAI Performance\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eMaximum AI Compute Performance: Up to 20 PetaFLOPS FP4\u003cbr\u003eAI Accelerator: NVIDIA Blackwell Ultra GPU\u003cbr\u003eTransformer Engine: Second-Generation NVIDIA Transformer Engine\u003cbr\u003eTensor Cores: Fifth-Generation NVIDIA Tensor Cores\u003cbr\u003eFP4 Computing: Supported\u003cbr\u003eFP6 Computing: Supported\u003cbr\u003eFP8 Computing: Supported\u003cbr\u003eFP16 Computing: Supported\u003cbr\u003eBF16 Computing: Supported\u003cbr\u003eINT8 Inferencing: Supported\u003cbr\u003eMixed Precision Computing: Supported\u003cbr\u003eLarge Language Model Acceleration: Supported\u003cbr\u003eFoundation Model Training: Supported\u003cbr\u003eFoundation Model Fine-Tuning: Supported\u003cbr\u003eGenerative AI Processing: Supported\u003cbr\u003eAI Agent Development: Supported\u003cbr\u003eReasoning Model Processing: Supported\u003cbr\u003eRetrieval-Augmented Generation (RAG): Supported\u003cbr\u003eMultimodal AI: Supported\u003cbr\u003eScientific AI Computing: Supported\u003cbr\u003eDistributed AI Training: Supported\u003cbr\u003eProduction AI Inferencing: Supported\u003cbr\u003eSupports AI Models Up to 1 Trillion Parameters\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eAI Features\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eLarge Language Model Development\u003cbr\u003eLarge Language Model Training\u003cbr\u003eLarge Language Model Fine-Tuning\u003cbr\u003eFoundation Model Development\u003cbr\u003eFoundation Model Optimization\u003cbr\u003eGenerative AI\u003cbr\u003eAgentic AI\u003cbr\u003eAI Agent Development\u003cbr\u003eRetrieval-Augmented Generation\u003cbr\u003eReasoning Models\u003cbr\u003eMultimodal AI\u003cbr\u003eComputer Vision\u003cbr\u003eNatural Language Processing\u003cbr\u003eSpeech AI\u003cbr\u003eRecommendation Systems\u003cbr\u003ePredictive Analytics\u003cbr\u003eDigital Twin Simulation\u003cbr\u003eScientific Machine Learning\u003cbr\u003eDrug Discovery\u003cbr\u003eMolecular Modelling\u003cbr\u003eFinancial AI\u003cbr\u003eCybersecurity AI\u003cbr\u003eManufacturing AI\u003cbr\u003eHealthcare AI\u003cbr\u003eEnterprise Knowledge Assistants\u003cbr\u003ePrivate AI Deployment\u003cbr\u003eHybrid AI Infrastructure\u003cbr\u003eDistributed AI Computing\u003cbr\u003eEnterprise AI Factory Deployment\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eMemory Specifications\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eTotal System Memory: 748GB Coherent Unified Memory\u003cbr\u003eGPU Memory: 252GB HBM3E\u003cbr\u003eGPU Memory Bandwidth: Up to 7.1TB\/s\u003cbr\u003eCPU Memory: 496GB LPDDR5X\u003cbr\u003eCPU Memory Bandwidth: Up to 396GB\/s\u003cbr\u003eMemory Architecture: Unified Coherent CPU-GPU Memory\u003cbr\u003eUnified Address Space: Supported\u003cbr\u003eCPU-GPU Shared Memory Pool: Supported\u003cbr\u003eMemory Coherency: Supported\u003cbr\u003eHigh-Bandwidth Memory Architecture: Supported\u003cbr\u003eLow-Latency Memory Access: Supported\u003cbr\u003eLarge AI Model Loading: Supported\u003cbr\u003eLarge Context Window Processing: Supported\u003cbr\u003eTrillion-Parameter Model Inferencing: Supported\u003cbr\u003eLarge Dataset Processing: Supported\u003cbr\u003eMemory Intensive AI Applications: Supported\u003cbr\u003eScientific Simulation Support: Supported\u003cbr\u003eVector Database Processing: Supported\u003cbr\u003eEnterprise AI Pipeline Support: Supported\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eStorage Specifications\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eStorage Technology: NVMe Solid-State Drive\u003cbr\u003eDrive Form Factor: M.2 2280\u003cbr\u003eStorage Interface: PCI Express NVMe\u003c\/p\u003e\n\u003cp\u003eInstalled Storage Slots:\u003c\/p\u003e\n\u003cp\u003e2 × M.2 PCIe Gen6 x4\u003c\/p\u003e\n\u003cp\u003e2 × M.2 PCIe Gen5 x4\u003c\/p\u003e\n\u003cp\u003eMaximum Storage Configuration: Configuration Dependent\u003c\/p\u003e\n\u003cp\u003eBoot Drive Support: Supported\u003c\/p\u003e\n\u003cp\u003eEnterprise NVMe SSD Support\u003c\/p\u003e\n\u003cp\u003ePCIe Gen6 High-Speed Storage\u003c\/p\u003e\n\u003cp\u003ePCIe Gen5 High-Speed Storage\u003c\/p\u003e\n\u003cp\u003eAI Dataset Storage\u003c\/p\u003e\n\u003cp\u003eModel Checkpoint Storage\u003c\/p\u003e\n\u003cp\u003eVector Database Storage\u003c\/p\u003e\n\u003cp\u003eContainer Repository Storage\u003c\/p\u003e\n\u003cp\u003eTraining Dataset Storage\u003c\/p\u003e\n\u003cp\u003eContinuous Enterprise Read\/Write Workloads\u003c\/p\u003e\n\u003cp\u003eStorage Expansion Supported\u003c\/p\u003e\n\u003cp\u003eStorage Health Monitoring\u003c\/p\u003e\n\u003cp\u003eRemote Storage Status Monitoring\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eGraphics Specifications\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eGPU Model: NVIDIA Blackwell Ultra\u003c\/p\u003e\n\u003cp\u003eGPU Quantity: 1\u003c\/p\u003e\n\u003cp\u003eGPU Architecture: NVIDIA Blackwell Ultra\u003c\/p\u003e\n\u003cp\u003eTensor Cores: Fifth-Generation NVIDIA Tensor Cores\u003c\/p\u003e\n\u003cp\u003eTransformer Engine: Second Generation\u003c\/p\u003e\n\u003cp\u003eCUDA Support\u003c\/p\u003e\n\u003cp\u003eCUDA-X Libraries\u003c\/p\u003e\n\u003cp\u003eTensorRT\u003c\/p\u003e\n\u003cp\u003eTensorRT-LLM\u003c\/p\u003e\n\u003cp\u003ecuDNN\u003c\/p\u003e\n\u003cp\u003eRAPIDS\u003c\/p\u003e\n\u003cp\u003eNVIDIA AI Enterprise\u003c\/p\u003e\n\u003cp\u003eNVIDIA NeMo\u003c\/p\u003e\n\u003cp\u003eNVIDIA NGC Containers\u003c\/p\u003e\n\u003cp\u003eGPUDirect RDMA\u003c\/p\u003e\n\u003cp\u003eGPUDirect Storage\u003c\/p\u003e\n\u003cp\u003eMixed Precision Computing\u003c\/p\u003e\n\u003cp\u003eLarge Language Model Acceleration\u003c\/p\u003e\n\u003cp\u003eScientific Computing Acceleration\u003c\/p\u003e\n\u003cp\u003eEnterprise AI Development\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eNetworking Specifications\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eHigh-Speed Network Controller:\u003c\/p\u003e\n\u003cp\u003eNVIDIA ConnectX-8 SuperNIC\u003c\/p\u003e\n\u003cp\u003eNetwork Ports:\u003c\/p\u003e\n\u003cp\u003e2 × 400Gb\/s QSFP112\u003c\/p\u003e\n\u003cp\u003eMaximum Aggregate Network Bandwidth:\u003c\/p\u003e\n\u003cp\u003eUp to 800Gbps\u003c\/p\u003e\n\u003cp\u003eAdditional Ethernet:\u003c\/p\u003e\n\u003cp\u003e1 × 10GbE RJ45 (Marvell)\u003c\/p\u003e\n\u003cp\u003eDedicated Management Port:\u003c\/p\u003e\n\u003cp\u003e1 × Management LAN\u003c\/p\u003e\n\u003cp\u003eRDMA Support\u003c\/p\u003e\n\u003cp\u003eRoCE Support\u003c\/p\u003e\n\u003cp\u003eGPUDirect RDMA\u003c\/p\u003e\n\u003cp\u003eGPUDirect Storage\u003c\/p\u003e\n\u003cp\u003eDistributed AI Training\u003c\/p\u003e\n\u003cp\u003eAI Cluster Networking\u003c\/p\u003e\n\u003cp\u003eScale-Out AI Infrastructure\u003c\/p\u003e\n\u003cp\u003eEnterprise AI Fabric Integration\u003c\/p\u003e\n\u003cp\u003eHigh-Speed Storage Networking\u003c\/p\u003e\n\u003cp\u003eHigh-Performance Computing Cluster Support\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003ePorts \u0026amp; Expansion\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003e2 × 400Gb\/s QSFP112\u003c\/p\u003e\n\u003cp\u003e1 × 10GbE RJ45 LAN\u003c\/p\u003e\n\u003cp\u003e1 × Dedicated Management LAN\u003c\/p\u003e\n\u003cp\u003e2 × M.2 PCIe Gen6 x4\u003c\/p\u003e\n\u003cp\u003e2 × M.2 PCIe Gen5 x4\u003c\/p\u003e\n\u003cp\u003e1 × PCIe Gen5 x16 Expansion Slot\u003c\/p\u003e\n\u003cp\u003e2 × PCIe Gen5 x8 Expansion Slots\u003c\/p\u003e\n\u003cp\u003eUSB Connectivity: Configuration Dependent\u003c\/p\u003e\n\u003cp\u003eDisplay Connectivity: Configuration Dependent\u003c\/p\u003e\n\u003cp\u003eFuture Enterprise Expansion Supported\u003c\/p\u003e\n\u003cp\u003eRack Integration Supported\u003c\/p\u003e\n\u003cp\u003eHigh-Speed Storage Expansion Supported\u003c\/p\u003e\n\u003cp\u003eAdditional Enterprise Networking Expansion Supported\u003c\/p\u003e\n\u003cp\u003eDedicated Management Interface Supported\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eCooling System\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eClosed-Loop Liquid Cooling\u003c\/p\u003e\n\u003cp\u003eOptimized CPU Cooling\u003c\/p\u003e\n\u003cp\u003eOptimized GPU Cooling\u003c\/p\u003e\n\u003cp\u003eHigh-Efficiency Thermal Design\u003c\/p\u003e\n\u003cp\u003eContinuous AI Training Support\u003c\/p\u003e\n\u003cp\u003eContinuous AI Inferencing Support\u003c\/p\u003e\n\u003cp\u003eLow Acoustic Enterprise Design\u003c\/p\u003e\n\u003cp\u003eThermal Monitoring\u003c\/p\u003e\n\u003cp\u003eFan Speed Monitoring\u003c\/p\u003e\n\u003cp\u003eAutomatic Thermal Protection\u003c\/p\u003e\n\u003cp\u003e24×7 Enterprise Operation\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003ePower Specifications\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003ePower Supply Capacity: 1600W\u003c\/p\u003e\n\u003cp\u003ePower Supply Type: ATX\u003c\/p\u003e\n\u003cp\u003eEfficiency Rating: 80 PLUS Platinum\u003c\/p\u003e\n\u003cp\u003eEnterprise High-Efficiency Design\u003c\/p\u003e\n\u003cp\u003eContinuous AI Workloads Supported\u003c\/p\u003e\n\u003cp\u003eRemote Power Monitoring: Configuration Dependent\u003c\/p\u003e\n\u003cp\u003eEnterprise Power Management\u003c\/p\u003e\n\u003cp\u003eHigh-Load GPU Processing Support\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eCompatibility\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eCompatible AI Frameworks:\u003c\/p\u003e\n\u003cp\u003ePyTorch\u003c\/p\u003e\n\u003cp\u003eTensorFlow\u003c\/p\u003e\n\u003cp\u003eJAX\u003c\/p\u003e\n\u003cp\u003eONNX Runtime\u003c\/p\u003e\n\u003cp\u003eHugging Face Transformers\u003c\/p\u003e\n\u003cp\u003eDeepSpeed\u003c\/p\u003e\n\u003cp\u003eMegatron-LM\u003c\/p\u003e\n\u003cp\u003eTensorRT\u003c\/p\u003e\n\u003cp\u003eTensorRT-LLM\u003c\/p\u003e\n\u003cp\u003eNVIDIA NeMo\u003c\/p\u003e\n\u003cp\u003eNVIDIA Triton Inference Server\u003c\/p\u003e\n\u003cp\u003eCUDA Toolkit\u003c\/p\u003e\n\u003cp\u003ecuDNN\u003c\/p\u003e\n\u003cp\u003eRAPIDS\u003c\/p\u003e\n\u003cp\u003eCompatible Deployment Platforms:\u003c\/p\u003e\n\u003cp\u003eDocker\u003c\/p\u003e\n\u003cp\u003eKubernetes\u003c\/p\u003e\n\u003cp\u003eNVIDIA NGC\u003c\/p\u003e\n\u003cp\u003eUbuntu Linux\u003c\/p\u003e\n\u003cp\u003eEnterprise AI Enterprise\u003c\/p\u003e\n\u003cp\u003ePrivate AI Infrastructure\u003c\/p\u003e\n\u003cp\u003eHybrid AI Infrastructure\u003c\/p\u003e\n\u003cp\u003eEnterprise MLOps Platforms\u003c\/p\u003e\n\u003cp\u003eCompatible AI Workloads:\u003c\/p\u003e\n\u003cp\u003eLarge Language Models\u003c\/p\u003e\n\u003cp\u003eFoundation Models\u003c\/p\u003e\n\u003cp\u003eGenerative AI\u003c\/p\u003e\n\u003cp\u003eAI Agents\u003c\/p\u003e\n\u003cp\u003eRetrieval-Augmented Generation\u003c\/p\u003e\n\u003cp\u003eMachine Learning\u003c\/p\u003e\n\u003cp\u003eDeep Learning\u003c\/p\u003e\n\u003cp\u003eComputer Vision\u003c\/p\u003e\n\u003cp\u003eNatural Language Processing\u003c\/p\u003e\n\u003cp\u003eSpeech AI\u003c\/p\u003e\n\u003cp\u003eScientific Computing\u003c\/p\u003e\n\u003cp\u003eHigh-Performance Computing\u003c\/p\u003e\n\u003cp\u003eDigital Twins\u003c\/p\u003e\n\u003cp\u003eEnterprise AI\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eDesign \u0026amp; Construction\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eEnterprise AI Workstation Design\u003c\/p\u003e\n\u003cp\u003eProfessional AI Supercomputer Chassis\u003c\/p\u003e\n\u003cp\u003eClosed-Loop Liquid Cooling Chassis\u003c\/p\u003e\n\u003cp\u003eHigh-Density Compute Platform\u003c\/p\u003e\n\u003cp\u003eEnterprise Cable Management\u003c\/p\u003e\n\u003cp\u003eServiceable Internal Components\u003c\/p\u003e\n\u003cp\u003eContinuous 24×7 Operational Design\u003c\/p\u003e\n\u003cp\u003eDatacenter-Class Internal Architecture\u003c\/p\u003e\n\u003cp\u003eProfessional Engineering Design\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eEnvironmental Specifications\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eOperating Environment: Enterprise Office or AI Laboratory\u003c\/p\u003e\n\u003cp\u003eContinuous Operation Supported\u003c\/p\u003e\n\u003cp\u003eThermal Monitoring\u003c\/p\u003e\n\u003cp\u003eEnvironmental Monitoring\u003c\/p\u003e\n\u003cp\u003eHigh Reliability Components\u003c\/p\u003e\n\u003cp\u003eConfiguration Dependent Certifications\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003ePhysical Specifications\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eProduct Type: Enterprise AI Supercomputer\u003c\/p\u003e\n\u003cp\u003eForm Factor: Deskside AI Supercomputer\u003c\/p\u003e\n\u003cp\u003eCooling: Closed-Loop Liquid Cooling\u003c\/p\u003e\n\u003cp\u003ePower Supply: 1600W Platinum\u003c\/p\u003e\n\u003cp\u003eColour: Black\u003c\/p\u003e\n\u003cp\u003eDimensions: Configuration Dependent\u003c\/p\u003e\n\u003cp\u003eWeight: Configuration Dependent\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003ePackage Contents\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eGIGABYTE W775-V10-L01 AI Supercomputer\u003c\/p\u003e\n\u003cp\u003e1600W Platinum Power Supply\u003c\/p\u003e\n\u003cp\u003ePower Cable\u003c\/p\u003e\n\u003cp\u003eQuick Installation Guide\u003c\/p\u003e\n\u003cp\u003eWarranty Documentation\u003c\/p\u003e\n\u003cp\u003eEnterprise Support Documentation\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eKey Features\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eNVIDIA GB300 Grace Blackwell Ultra Desktop Superchip\u003c\/p\u003e\n\u003cp\u003e72-Core NVIDIA Grace CPU\u003c\/p\u003e\n\u003cp\u003eArm Neoverse V2 Architecture\u003c\/p\u003e\n\u003cp\u003eSingle NVIDIA Blackwell Ultra GPU\u003c\/p\u003e\n\u003cp\u003e748GB Unified Coherent Memory\u003c\/p\u003e\n\u003cp\u003e252GB HBM3E GPU Memory\u003c\/p\u003e\n\u003cp\u003e496GB LPDDR5X CPU Memory\u003c\/p\u003e\n\u003cp\u003eUp to 20 PFLOPS AI Performance\u003c\/p\u003e\n\u003cp\u003eSupports AI Models Up to 1 Trillion Parameters\u003c\/p\u003e\n\u003cp\u003eDual NVIDIA ConnectX-8 400Gb Networking\u003c\/p\u003e\n\u003cp\u003e800Gbps Aggregate Network Bandwidth\u003c\/p\u003e\n\u003cp\u003e1 × 10GbE LAN\u003c\/p\u003e\n\u003cp\u003eDedicated Management LAN\u003c\/p\u003e\n\u003cp\u003e2 × PCIe Gen6 M.2 SSD Slots\u003c\/p\u003e\n\u003cp\u003e2 × PCIe Gen5 M.2 SSD Slots\u003c\/p\u003e\n\u003cp\u003ePCIe Gen5 Expansion\u003c\/p\u003e\n\u003cp\u003eClosed-Loop Liquid Cooling\u003c\/p\u003e\n\u003cp\u003e1600W 80 PLUS Platinum Power Supply\u003c\/p\u003e\n\u003cp\u003eEnterprise AI Development Ready\u003c\/p\u003e\n\u003cp\u003eCUDA, TensorRT \u0026amp; NVIDIA AI Enterprise Ready\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003ePerformance \u0026amp; Features\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eThe GIGABYTE W775-V10-L01 is a next-generation deskside AI supercomputer powered by the NVIDIA GB300 Grace Blackwell Ultra Desktop Superchip. It combines a 72-core NVIDIA Grace CPU based on the Arm Neoverse V2 architecture with the latest NVIDIA Blackwell Ultra GPU to deliver up to \u003cstrong\u003e20 petaFLOPS\u003c\/strong\u003e of FP4 AI compute performance for enterprise AI development, model training, fine-tuning and inferencing.\u003c\/p\u003e\n\u003cp\u003eThe system integrates \u003cstrong\u003e748GB of coherent unified memory\u003c\/strong\u003e, consisting of \u003cstrong\u003e252GB HBM3E GPU memory\u003c\/strong\u003e delivering up to \u003cstrong\u003e7.1TB\/s\u003c\/strong\u003e bandwidth and \u003cstrong\u003e496GB LPDDR5X CPU memory\u003c\/strong\u003e providing up to \u003cstrong\u003e396GB\/s\u003c\/strong\u003e bandwidth. 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