{"title":"AI Workstations","description":null,"products":[{"product_id":"msi-edgexpert-ms-c931-compact-desktop-ai-supercomputer","title":"MSI EdgeXpert - 13SUS AI Supercomputer 128 GB unified Memory, 4 TB(Based on Nvidia DGX Spark GB10 Blackwell 3Year Warranty","description":"\u003cp\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0864\/6144\/8507\/files\/kv.webp?v=1771510092\"\u003e\u003c\/p\u003e\n\u003cdiv style=\"text-align: center; color: black;\" class=\"text_heading\"\u003e\n\u003ch2\u003eNext-Level AI Power, Right at Your Desk\u003c\/h2\u003e\n\u003c\/div\u003e\n\u003cstyle\u003e\n    .ai-desc-container {\n      display: flex;\n      flex-wrap: wrap;\n      width: 100%;\n      min-height: 420px;\n    }\n\n    .ai-desc-image {\n      flex: 1 1 40%;\n      overflow: hidden;\n    }\n\n    .ai-desc-image img {\n      width: 100%;\n      height: 100%;\n      object-fit: cover;\n      display: block;\n    }\n\n    .ai-desc-content {\n      flex: 1 1 50%;\n      display: flex !important;\n      align-items: center;\n      padding: 50px;\n      background: linear-gradient(\n        135deg,\n        #b9e1c9 0%,\n        #9fd2c4 40%,\n        #8ab8da 100%\n      );\n    }\n\n    .ai-desc-text {\n      max-width: 600px;\n      color: #0f2d2d;\n    }\n\n    .ai-desc-text p {\n      font-size: 15px;\n      line-height: 1.7;\n      margin-bottom: 18px;\n    }\n\n    @media (max-width: 768px) {\n      .ai-desc-container {\n        flex-direction: column;\n      }\n\n      .ai-desc-image,\n      .ai-desc-content {\n        flex: 1 1 100%;\n      }\n\n      .ai-desc-content {\n        padding: 30px 20px;\n      }\n    }\n  \u003c\/style\u003e\n\u003cdiv style=\"width: 100%; margin: 3px 0px; font-family: Arial, Helvetica, sans-serif;\"\u003e\n\u003cdiv class=\"ai-desc-container\"\u003e\n\u003c!-- Image Side --\u003e\n\u003cdiv class=\"ai-desc-image\"\u003e\u003cbr\u003e\u003c\/div\u003e\n\u003cdiv class=\"ai-desc-image\"\u003e\u003cbr\u003e\u003c\/div\u003e\n\u003cdiv class=\"ai-desc-image\"\u003e\u003cimg alt=\"MSI EdgeXpert AI Supercomputer\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0864\/6144\/8507\/files\/img1_03843124-da6b-4942-979f-1d0515de8c85.jpg?v=1771509204\"\u003e\u003c\/div\u003e\n\u003c!-- Content Side --\u003e\n\u003cdiv class=\"ai-desc-content\"\u003e\n\u003cdiv class=\"ai-desc-text\"\u003e\n\u003cp\u003eThe \u003cstrong\u003eMSI EdgeXpert\u003c\/strong\u003e AI Supercomputer redefines desktop AI computing, delivering petaflop-scale performance through the cutting-edge NVIDIA® GB10 Grace Blackwell Superchip—the same powerhouse at the core of NVIDIA DGX™ Spark. Purpose-built for developers, AI researchers, and data scientists, the EdgeXpert empowers local AI development with unmatched performance, scalability, and advanced features—all in a compact, desktop-ready form.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cstyle\u003e\n    .nv-arch-wrapper {\n      display: flex;\n      flex-wrap: wrap;\n      width: 100%;\n      min-height: 420px;\n    }\n\n    .nv-arch-content {\n      flex: 1 1 50%;\n      padding: 60px;\n      display: flex;\n      align-items: center;\n      background: linear-gradient(\n        135deg,\n        #cde3dc 0%,\n        #bdd6cf 40%,\n        #aac6d8 100%\n      );\n    }\n\n    .nv-arch-text {\n      max-width: 620px;\n      color: #1b2a35;\n    }\n\n    .nv-arch-text h2 {\n      font-size: 18px;\n      margin-bottom: 25px;\n      font-weight: 700;\n      color: #5c7ea8;\n    }\n\n    .nv-arch-text h3 {\n      font-size: 16px;\n      margin-top: 20px;\n      margin-bottom: 10px;\n      font-weight: 700;\n    }\n\n    .nv-arch-text p {\n      font-size: 15px;\n      line-height: 1.7;\n      margin-bottom: 15px;\n    }\n\n    .nv-arch-image {\n      flex: 1 1 40%;\n      overflow: hidden;\n    }\n\n    .nv-arch-image img {\n      width: 100%;\n      height: 100%;\n      object-fit: cover;\n      display: block;\n    }\n\n    @media (max-width: 768px) {\n      .nv-arch-wrapper {\n        flex-direction: column;\n      }\n\n      .nv-arch-content,\n      .nv-arch-image {\n        flex: 1 1 100%;\n      }\n\n      .nv-arch-content {\n        padding: 35px 20px;\n      }\n\n      .nv-arch-text h2 {\n        font-size: 18px;\n      }\n    }\n  \u003c\/style\u003e\n\u003cdiv style=\"width: 100%; margin: 3px 0px; font-family: Arial, Helvetica, sans-serif;\"\u003e\n\u003cdiv class=\"nv-arch-wrapper\"\u003e\n\u003c!-- Left Content --\u003e\n\u003cdiv class=\"nv-arch-content\"\u003e\n\u003cdiv class=\"nv-arch-text\"\u003e\n\u003ch2\u003eNVIDIA Grace Blackwell Architecture\u003c\/h2\u003e\n\u003ch3\u003eNVIDIA Blackwell GPU \u0026amp; Arm 20 core CPU\u003c\/h3\u003e\n\u003cp\u003eOptimizes data preprocessing and orchestration to accelerate model tuning and enable real-time inference with greater efficiency.\u003c\/p\u003e\n\u003ch3\u003eNVLink®-C2C Technology\u003c\/h3\u003e\n\u003cp\u003eOffers a seamless CPU+GPU memory model with up to five times the bandwidth of PCIe 5.0, ensuring ultra-fast data access and transfer.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c!-- Right Image --\u003e\n\u003cdiv class=\"nv-arch-image\"\u003e\u003cimg alt=\"NVIDIA Grace Blackwell Architecture\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0864\/6144\/8507\/files\/cpu-gpu.jpg?v=1771510358\"\u003e\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cstyle\u003e\n    .ai-power-wrap {\n      display: flex;\n      flex-wrap: wrap;\n      width: 100%;\n      min-height: 420px;\n    }\n\n    .ai-power-image {\n      flex: 1 1 40%;\n      overflow: hidden;\n    }\n\n    .ai-power-image img {\n      width: 100%;\n      height: 100%;\n      object-fit: cover;\n      display: block;\n    }\n\n    .ai-power-content {\n      flex: 1 1 50%;\n      padding: 60px;\n      display: flex;\n      align-items: center;\n      background: linear-gradient(\n        135deg,\n        #f1dfb6 0%,\n        #ead2a4 40%,\n        #e3c9b0 100%\n      );\n    }\n\n    .ai-power-text {\n      max-width: 620px;\n      color: #1d2a35;\n    }\n\n    .ai-power-text h2 {\n      font-size: 18px;\n      margin-bottom: 25px;\n      font-weight: 700;\n    }\n\n    .ai-power-text h2 span {\n      color: #5a7fae;\n    }\n\n    .ai-power-text h3 {\n      font-size: 16px;\n      margin-top: 20px;\n      margin-bottom: 10px;\n      font-weight: 700;\n    }\n\n    .ai-power-text p {\n      font-size: 15px;\n      line-height: 1.7;\n      margin-bottom: 15px;\n    }\n\n    @media (max-width: 768px) {\n      .ai-power-wrap {\n        flex-direction: column;\n      }\n\n      .ai-power-image,\n      .ai-power-content {\n        flex: 1 1 100%;\n      }\n\n      .ai-power-content {\n        padding: 35px 20px;\n      }\n\n      .ai-power-text h2 {\n        font-size: 18px;\n      }\n    }\n  \u003c\/style\u003e\n\u003cdiv style=\"width: 100%; margin: 3px 0px; font-family: Arial, Helvetica, sans-serif;\"\u003e\n\u003cdiv class=\"ai-power-wrap\"\u003e\n\u003c!-- Left Image --\u003e\n\u003cdiv class=\"ai-power-image\"\u003e\u003cimg alt=\"Unmatched AI Computing Power\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0864\/6144\/8507\/files\/MSI_expertedge-3.jpg?v=1771510686\"\u003e\u003c\/div\u003e\n\u003c!-- Right Content --\u003e\n\u003cdiv class=\"ai-power-content\"\u003e\n\u003cdiv class=\"ai-power-text\"\u003e\n\u003ch2\u003eUnmatched \u003cspan\u003eAI ComputingPower\u003c\/span\u003e\n\u003c\/h2\u003e\n\u003ch3\u003e1000 AI TOPS (FP4) Tensor Performance\u003c\/h3\u003e\n\u003cp\u003eDelivers blazing-fast performance for effortlessly running complex AI workloads at scale.\u003c\/p\u003e\n\u003ch3\u003e128 GB LPDDR5x, unified system memory\u003c\/h3\u003e\n\u003cp\u003eProvides the large memory needed for smooth model development, rapid experimentation, and high-efficiency inference.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cstyle\u003e\n    .llm-unified-section {\n      display: flex;\n      flex-wrap: wrap;\n      align-items: center;\n      padding: 20px 60px;\n      background: linear-gradient(\n        135deg,\n        #dfe4ea 0%,\n        #e6ebf1 50%,\n        #dde3ea 100%\n      );\n      width: 100%;\n    }\n\n    .llm-unified-text {\n      flex: 1 1 40%;\n      padding-right: 40px;\n      color: #1c2a35;\n    }\n\n    .llm-unified-text h2 {\n      font-size: 18px;\n      font-weight: 700;\n      line-height: 1.3;\n      margin-bottom: 30px;\n    }\n\n    .llm-unified-text h2 span {\n      color: #5c7fa8;\n    }\n\n    .llm-unified-text h3 {\n      font-size: 16px;\n      font-weight: 700;\n      margin-top: 20px;\n      margin-bottom: 10px;\n    }\n\n    .llm-unified-text p {\n      font-size: 15px;\n      line-height: 1.7;\n      margin-bottom: 15px;\n    }\n\n    .llm-unified-image {\n      flex: 1 1 45%;\n      text-align: center;\n    }\n\n    .llm-unified-image img {\n      max-width: 100%;\n      height: auto;\n    }\n\n    @media (max-width: 768px) {\n      .llm-unified-section {\n        flex-direction: column;\n        padding: 40px 25px;\n      }\n\n      .llm-unified-text {\n        padding-right: 0;\n        margin-bottom: 30px;\n      }\n\n      .llm-unified-text h2 {\n        font-size: 18px;\n      }\n    }\n  \u003c\/style\u003e\n\u003cdiv style=\"width: 100%; margin: 3px 0px; font-family: Arial, Helvetica, sans-serif;\"\u003e\n\u003cdiv class=\"llm-unified-section\"\u003e\n\u003c!-- Left Content --\u003e\n\u003cdiv class=\"llm-unified-text\"\u003e\n\u003ch2\u003eRunning and scaling LLMs \u003cspan\u003elocally, from 200B to 405B\u003c\/span\u003e parameters\u003c\/h2\u003e\n\u003ch3\u003eSupports AI models with up to 200 billion parameters\u003c\/h3\u003e\n\u003cp\u003eRun LLMs locally for data security, low latency, cost control, and full AI workflow— prototyping, fine-tuning, and inference.\u003c\/p\u003e\n\u003ch3\u003eStack via NVIDIA ConnectX: Large AI models \u0026amp; Performance\u003c\/h3\u003e\n\u003cp\u003eHigh-performance NVIDIA ConnectX networking enables two MSI systems together to work with AI models up to 405 billion parameters.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003c!-- Right Image --\u003e\n\u003cdiv class=\"llm-unified-image\"\u003e\u003cimg alt=\"Running and scaling LLMs locally\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0864\/6144\/8507\/files\/MSI_expertedge-4.jpg?v=1771511206\"\u003e\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cstyle\u003e\n    .ai-feature-strip {\n      width: 100%;\n      background: #c9dbe3;\n      padding: 60px 40px;\n      display: flex;\n      justify-content: center;\n    }\n\n    .ai-feature-row {\n      display: flex;\n      flex-wrap: wrap;\n      justify-content: center;\n      gap: 40px;\n      max-width: 1200px;\n      width: 100%;\n    }\n\n    .ai-feature-item {\n      flex: 0 0 auto;\n      text-align: center;\n    }\n\n    .ai-feature-item img {\n      width: 140px; \/* adjust if needed *\/\n      height: auto;\n      display: block;\n      margin: 0 auto;\n    }\n\n    @media (max-width: 768px) {\n      .ai-feature-strip {\n        padding: 40px 20px;\n      }\n\n      .ai-feature-row {\n        gap: 25px;\n      }\n\n      .ai-feature-item img {\n        width: 110px;\n      }\n    }\n  \u003c\/style\u003e\n\u003cdiv style=\"width: 100%; margin: 10px 0; font-family: Arial, Helvetica, sans-serif;\"\u003e\n\u003cdiv class=\"ai-feature-strip\"\u003e\n\u003cdiv class=\"ai-feature-row\"\u003e\n\u003cdiv class=\"ai-feature-item\"\u003e\u003cimg alt=\"NVIDIA Blackwell GPU\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0864\/6144\/8507\/files\/Strip_edgeexpert-1.png?v=1771567451\"\u003e\u003c\/div\u003e\n\u003cdiv class=\"ai-feature-item\"\u003e\u003cimg alt=\"20 Core ARM CPU\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0864\/6144\/8507\/files\/Strip_edgeexpert-2.png?v=1771567468\"\u003e\u003c\/div\u003e\n\u003cdiv class=\"ai-feature-item\"\u003e\u003cimg alt=\"CPU and GPU\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0864\/6144\/8507\/files\/Strip_edgeexpert-3.png?v=1771567468\"\u003e\u003c\/div\u003e\n\u003cdiv class=\"ai-feature-item\"\u003e\u003cimg alt=\"1000 AI TOPS\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0864\/6144\/8507\/files\/Strip_edgeexpert-4.png?v=1771567468\"\u003e\u003c\/div\u003e\n\u003cdiv class=\"ai-feature-item\"\u003e\u003cimg alt=\"128GB Unified Memory\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0864\/6144\/8507\/files\/Strip_edgeexpert-5.png?v=1771567468\"\u003e\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv style=\"text-align: center; color: rgba(0, 0, 0, 0); background: linear-gradient(75deg, #222, #7aa6dc, #222); background-clip: text;\" class=\"Seamless_AI\"\u003e\n\u003ch2\u003eSeamless AI Model Scaling from Desktop to Cloud\u003c\/h2\u003e\n\u003cp style=\"text-align: center; color: black;\"\u003eLeverage NVIDIA’s AI software architecture to seamlessly scale from desktop to NVIDIA DGX™ cloud or other NVIDIA® accelerated data centers or cloudinfrastructures, just with minimal code changes.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"last_strip\"\u003e\u003cimg style=\"display: block; margin-left: auto; margin-right: auto;\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0864\/6144\/8507\/files\/last-strip.png?v=1771568137\"\u003e\u003c\/div\u003e\n\u003cdiv\u003e\u003cbr\u003e\u003c\/div\u003e\n\u003cp style=\"color: black;\"\u003e\u003cstrong\u003eKey Features:\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli style=\"\n    list-style-type: disc; color: black;\n\"\u003eNVIDIA® Grace Blackwell Architecture\u003c\/li\u003e\n\u003cli style=\"\n    list-style-type: disc; color: black;\n\"\u003eNVIDIA Blackwell GPU \u0026amp; Arm 20-core CPU\u003c\/li\u003e\n\u003cli style=\"\n    list-style-type: disc; color: black;\n\"\u003eNVIDIA® NVLink®-C2C CPU-GPU memory interconnect\u003c\/li\u003e\n\u003cli style=\"\n    list-style-type: disc; color: black;\n\"\u003e4TB Gen5 NVME.M2 with self-encryption\u003c\/li\u003e\n\u003cli style=\"\n    list-style-type: disc; color: black;\n\"\u003e128 GB LPDDR5x coherent, unified system memory\u003c\/li\u003e\n\u003cli style=\"\n    list-style-type: disc; color: black;\n\"\u003e1000 AI FLOPS (FP4) AI performance\u003c\/li\u003e\n\u003cli style=\"\n    list-style-type: disc; color: black;\n\"\u003eFull stack solution, hardware \u0026amp;software, designed for AI developers\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cbr\u003e\n\u003ch3 class=\"last_strip\"\u003e\u003cstrong\u003eSpecifications:\u003c\/strong\u003e\u003c\/h3\u003e\n\u003ctable style=\"width: 100.036%;\" width=\"100%\"\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd style=\"width: 32.554%;\"\u003e\u003cspan\u003eArchitecture\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 67.2662%;\"\u003e \u003cspan\u003eNVIDIA Grace Blackwell GB10\u003c\/span\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"width: 32.554%;\"\u003e\u003cspan\u003eGPU\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 67.2662%;\"\u003e\u003cspan\u003eNVIDIA Blackwell Architecture\u003c\/span\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"width: 32.554%;\"\u003e\u003cspan\u003eCPU\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 67.2662%;\"\u003e\u003cspan\u003e20 core Arm, 10 Cortex-X925 + 10 Cortex-A725 Arm\u003c\/span\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"width: 32.554%;\"\u003e\u003cspan\u003eTensor Performance\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 67.2662%;\"\u003e\u003cspan\u003e1000 AI TOPS (FP4, Sparse)\u003c\/span\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"width: 32.554%;\"\u003e\u003cspan\u003eSystem Memory\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 67.2662%;\"\u003e\u003cspan\u003e128 GB LPDDR5x, unified system memory\u003c\/span\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"width: 32.554%;\"\u003e\u003cspan\u003eMemory Interface\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 67.2662%;\"\u003e\u003cspan\u003e256-bit\u003c\/span\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"width: 32.554%;\"\u003e\u003cspan\u003eMemory Bandwidth\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 67.2662%;\"\u003e\u003cspan\u003e273 GB\/s\u003c\/span\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"width: 32.554%;\"\u003e\u003cspan\u003eStorage\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 67.2662%;\"\u003e\u003cspan\u003e1 or 4 TB NVME.M2 with self-encryption\u003c\/span\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"width: 32.554%;\"\u003e\u003cspan\u003eUSB\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 67.2662%;\"\u003e\u003cspan\u003e4x USB 3.2 Type C\u003c\/span\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"width: 32.554%;\"\u003e\u003cspan\u003eEthernet\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 67.2662%;\"\u003e\u003cspan\u003e1x RJ-45 connector 10 GbE\u003c\/span\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"width: 32.554%;\"\u003e\u003cspan\u003eNIC\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 67.2662%;\"\u003e\u003cspan\u003eConnectX-7 Smart NIC\u003c\/span\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"width: 32.554%;\"\u003e\u003cspan\u003eWi-Fi\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 67.2662%;\"\u003e\u003cspan\u003eWiFi 7\u003c\/span\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"width: 32.554%;\"\u003e\u003cspan\u003eBluetooth\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 67.2662%;\"\u003e\u003cspan\u003eBT 5.4\u003c\/span\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"width: 32.554%;\"\u003e\u003cspan\u003eAudio-output\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 67.2662%;\"\u003e\u003cspan\u003eHDMI multichannel audio output\u003c\/span\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"width: 32.554%;\"\u003e\u003cspan\u003eDisplay Connectors\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 67.2662%;\"\u003e\u003cspan\u003e1x HDMI 2.1a\u003c\/span\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"width: 32.554%;\"\u003e\u003cspan\u003eNVENC | NVDEC\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 67.2662%;\"\u003e\u003cspan\u003e1x | 1x\u003c\/span\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"width: 32.554%;\"\u003e\u003cspan\u003eOS\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 67.2662%;\"\u003e\u003cspan\u003eNVIDIA DGX OS\u003c\/span\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"width: 32.554%;\"\u003e\u003cspan\u003eSystem Dimensions\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 67.2662%;\"\u003e\u003cspan\u003e151 mm L x 151 mm W x 52 mm H (1.19L)\u003c\/span\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"width: 32.554%;\"\u003e\u003cspan\u003eSystem Weight\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 67.2662%;\"\u003e\u003cspan\u003e1.2 kg\u003c\/span\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e","brand":"MSI","offers":[{"title":"Default Title","offer_id":50912217825595,"sku":"1097504","price":529990.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0864\/6144\/8507\/files\/MSI_EdgeXpert_AI_Supercomputer_MS-C931.png?v=1776836954"},{"product_id":"nvidia-dgx-spark-ai-supercomputer","title":"NVIDIA DGX Spark Personal AI Supercomputer (128GB RAM, 4TB SSD) I Grace Blackwell GB10","description":"\u003ch2 style=\"\n    color: black;\n\"\u003e\n\u003cspan dir=\"ltr\" role=\"presentation\"\u003eNVIDIA DGX Spark - \u003c\/span\u003e\u003cspan dir=\"ltr\" role=\"presentation\"\u003eDGX personal AI computer, designed to build \u003c\/span\u003e\u003cspan dir=\"ltr\" role=\"presentation\"\u003eand run AI.\u003c\/span\u003e\n\u003c\/h2\u003e\n\u003cp style=\"\n    color: black;\n\"\u003e\u003cstrong\u003e\u003cspan dir=\"ltr\" role=\"presentation\"\u003eDevelop Locally, Deploy Anywhere at Scale\u003c\/span\u003e\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cdiv data-loaded=\"true\" aria-label=\"Page 2\" role=\"region\" data-page-number=\"2\" class=\"page\"\u003e\n\u003cdiv class=\"textLayer\" style=\"\n    color: black;\n\"\u003e\n\u003cspan dir=\"ltr\" role=\"presentation\"\u003e\u003cstrong\u003eNVIDIA DGX Spark\u003c\/strong\u003e provides \u003cstrong\u003eorganizations\u003c\/strong\u003e and \u003cstrong\u003edevelopers\u003c\/strong\u003e with a powerful, \u003c\/span\u003e\u003cspan dir=\"ltr\" role=\"presentation\"\u003eeconomical experimentation ground for prototype models, freeing up valuable \u003c\/span\u003e\u003cspan dir=\"ltr\" role=\"presentation\"\u003ecompute resources in their cluster environments better suited for training \u003c\/span\u003e\u003cspan dir=\"ltr\" role=\"presentation\"\u003eand deploying production models. Leveraging the NVIDIA AI platform software \u003c\/span\u003e\u003cspan dir=\"ltr\" role=\"presentation\"\u003earchitecture makes it possible for NVIDIA DGX Spark users to easily move their \u003c\/span\u003e\u003cspan dir=\"ltr\" role=\"presentation\"\u003ework from their desktop to DGX Cloud or any accelerated cloud or data center \u003c\/span\u003e\u003cspan dir=\"ltr\" role=\"presentation\"\u003einfrastructure, making it easier than ever to prototype, fine-tune, and iterate.\u003c\/span\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"textLayer\"\u003e\n\u003cspan dir=\"ltr\" role=\"presentation\"\u003e\u003c\/span\u003e\u003cbr\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"textLayer\" style=\"\n    color: black;\n\"\u003e\u003cspan dir=\"ltr\" role=\"presentation\"\u003e\u003cstrong\u003eDesktop AI Compute Demands\u003c\/strong\u003e\u003cbr role=\"presentation\"\u003eThe increasing size and complexity of generative AI models is making development efforts on local systems challenging. Prototyping, tuning, and inferencing large models locally requires large amounts of memory and significant compute performance. As enterprises, software providers, government agencies, startups, and researchers staff up AI efforts, the need for AI compute resources continues to grow.\u003c\/span\u003e\u003c\/div\u003e\n\u003cdiv class=\"textLayer\"\u003e\n\u003cspan dir=\"ltr\" role=\"presentation\"\u003e\u003c\/span\u003e\u003cbr\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"textLayer\" style=\"\n    color: black;\n\"\u003e\u003cspan dir=\"ltr\" role=\"presentation\"\u003e\u003cstrong\u003eWork With Large-Parameter AI Models\u003c\/strong\u003e\u003cbr role=\"presentation\"\u003eWith 128 GB of unified system memory and support for the FP4 data format, NVIDIA DGX Spark can support AI models of up to 200B parameters, enabling AI developers to prototype, fine-tune, and inference large models on their desktop. With built-in NVIDIA ConnectX network technology, two NVIDIA DGX Spark systems can be connected to work on even larger models such as Llama 3.1 405B.\u003c\/span\u003e\u003c\/div\u003e\n\u003cdiv class=\"textLayer\"\u003e\n\u003cspan dir=\"ltr\" role=\"presentation\"\u003e\u003c\/span\u003e\u003cbr\u003e\n\u003c\/div\u003e\n\u003ch3 class=\"textLayer\"\u003e\u003cstrong\u003e\u003cspan dir=\"ltr\" role=\"presentation\"\u003eTechnical Specifications:\u003c\/span\u003e\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cdiv class=\"textLayer\"\u003e\n\u003ctable width=\"100%\" style=\"width: 100.036%;\"\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd style=\"width: 32.554%;\"\u003e\u003cstrong\u003eArchitecture\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 67.2662%;\"\u003e \u003cspan\u003eNVIDIA Grace Blackwell\u003c\/span\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"width: 32.554%;\"\u003e\u003cstrong\u003eGPU\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 67.2662%;\"\u003e\u003cspan\u003eNVIDIA Blackwell Architecture\u003c\/span\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"width: 32.554%;\"\u003e\u003cstrong\u003eCPU\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 67.2662%;\"\u003e\n\u003cspan role=\"presentation\" dir=\"ltr\"\u003e20 core Arm, 10 Cortex-X925\u003c\/span\u003e\u003cbr role=\"presentation\"\u003e\u003cspan role=\"presentation\" dir=\"ltr\"\u003e+ 10 Cortex-A725 Arm\u003c\/span\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"width: 32.554%;\"\u003e\u003cstrong\u003e\u003cspan role=\"presentation\" dir=\"ltr\"\u003eCUDA Cores\u003c\/span\u003e\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 67.2662%;\"\u003e\u003cspan\u003eNVIDIA Blackwell Generation\u003c\/span\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"width: 32.554%;\"\u003e\u003cstrong\u003e\u003cspan role=\"presentation\" dir=\"ltr\"\u003eTensor Cores\u003c\/span\u003e\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 67.2662%;\"\u003e\u003cspan\u003e5th Generation\u003c\/span\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"width: 32.554%;\"\u003e\u003cstrong\u003e\u003cspan role=\"presentation\" dir=\"ltr\"\u003eRT Cores\u003c\/span\u003e\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 67.2662%;\"\u003e\u003cspan\u003e4th Generation\u003c\/span\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"width: 32.554%;\"\u003e\u003cstrong\u003e\u003cspan role=\"presentation\" dir=\"ltr\"\u003eTensor Performance\u003c\/span\u003e\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 67.2662%;\"\u003e\u003cspan\u003e1 PFLOP\u003c\/span\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"width: 32.554%;\"\u003e\u003cstrong\u003e\u003cspan role=\"presentation\" dir=\"ltr\"\u003eSystem Memory\u003c\/span\u003e\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 67.2662%;\"\u003e\n\u003cspan role=\"presentation\" dir=\"ltr\"\u003e128 GB LPDDR5x, coherent unified \u003c\/span\u003e\u003cspan role=\"presentation\" dir=\"ltr\"\u003esystem memory\u003c\/span\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"width: 32.554%;\"\u003e\u003cstrong\u003e\u003cspan role=\"presentation\" dir=\"ltr\"\u003eMemory Interface\u003c\/span\u003e\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 67.2662%;\"\u003e\u003cspan\u003e256-bit\u003c\/span\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"width: 32.554%;\"\u003e\u003cstrong\u003e\u003cspan dir=\"ltr\" role=\"presentation\"\u003eMemory Bandwidth\u003c\/span\u003e\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 67.2662%;\"\u003e\u003cspan\u003eUp to 273 GB\/s\u003c\/span\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"width: 32.554%;\"\u003e\u003cstrong\u003eStorage\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 67.2662%;\"\u003e\u003cspan\u003e4 TB NVME.M2 with self-encryption\u003c\/span\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"width: 32.554%;\"\u003e\u003cstrong\u003eUSB\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 67.2662%;\"\u003e\u003cspan\u003e4x USB TypeC\u003c\/span\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"width: 32.554%;\"\u003e\u003cstrong\u003eEthernet\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 67.2662%;\"\u003e\n\u003cspan dir=\"ltr\" role=\"presentation\"\u003e1x RJ-45 connector \u003c\/span\u003e\u003cspan dir=\"ltr\" role=\"presentation\"\u003e10 GbE\u003c\/span\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"width: 32.554%;\"\u003e\u003cstrong\u003eNIC\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 67.2662%;\"\u003e\u003cspan\u003eConnectX-7 NIC @ 200 Gbps\u003c\/span\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"width: 32.554%;\"\u003e\u003cstrong\u003e\u003cspan dir=\"ltr\" role=\"presentation\"\u003eWi-Fi\u003c\/span\u003e\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 67.2662%;\"\u003e\u003cspan\u003eWiFi 7\u003c\/span\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"width: 32.554%;\"\u003e\u003cstrong\u003eBluetooth\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 67.2662%;\"\u003e\u003cspan\u003eBT 5.4 w\/LE\u003c\/span\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"width: 32.554%;\"\u003e\u003cstrong\u003e\u003cspan dir=\"ltr\" role=\"presentation\"\u003eAudio-output\u003c\/span\u003e\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 67.2662%;\"\u003e\u003cspan\u003eHDMI multichannel audio output\u003c\/span\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"width: 32.554%;\"\u003e\u003cstrong\u003e\u003cspan dir=\"ltr\" role=\"presentation\"\u003ePower Supply\u003c\/span\u003e\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 67.2662%;\"\u003e\u003cspan\u003e240 W\u003c\/span\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"width: 32.554%;\"\u003e\u003cstrong\u003e\u003cspan dir=\"ltr\" role=\"presentation\"\u003eGB10 TDP*\u003c\/span\u003e\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 67.2662%;\"\u003e\u003cspan\u003e140 W\u003c\/span\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"width: 32.554%;\"\u003e\u003cstrong\u003e\u003cspan dir=\"ltr\" role=\"presentation\"\u003eDisplay Connectors\u003c\/span\u003e\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 67.2662%;\"\u003e\u003cspan\u003e1x HDMI 2.1a\u003c\/span\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"width: 32.554%;\"\u003e\u003cstrong\u003e\u003cspan dir=\"ltr\" role=\"presentation\"\u003eNVENC | NVDEC\u003c\/span\u003e\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 67.2662%;\"\u003e\u003cspan\u003e1x | 1x\u003c\/span\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"width: 32.554%;\"\u003e\u003cstrong\u003eOS\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 67.2662%;\"\u003e\n\u003cspan dir=\"ltr\" role=\"presentation\"\u003eNVIDIA DGX\u003c\/span\u003e\u003cspan dir=\"ltr\" role=\"presentation\"\u003e™\u003c\/span\u003e\u003cspan dir=\"ltr\" role=\"presentation\"\u003e \u003c\/span\u003e\u003cspan dir=\"ltr\" role=\"presentation\"\u003eOS\u003c\/span\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"width: 32.554%;\"\u003e\u003cstrong\u003e\u003cspan dir=\"ltr\" role=\"presentation\"\u003eSystem Dimensions\u003c\/span\u003e\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 67.2662%;\"\u003e\u003cspan\u003e150 mm L x 150 mm W x 50.5 mm H\u003c\/span\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"width: 32.554%;\"\u003e\u003cstrong\u003e\u003cspan dir=\"ltr\" role=\"presentation\"\u003eSystem Weight\u003c\/span\u003e\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 67.2662%;\"\u003e\u003cspan\u003e1.2 kg\u003c\/span\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv data-loaded=\"true\" aria-label=\"Page 3\" role=\"region\" data-page-number=\"3\" class=\"page\"\u003e\n\u003cdiv class=\"textLayer\"\u003e\u003c\/div\u003e\n\u003c\/div\u003e","brand":"Nvidia","offers":[{"title":"Default Title","offer_id":50932159938875,"sku":"1099508","price":529990.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0864\/6144\/8507\/files\/DGX-Spark.png?v=1769164576"},{"product_id":"asus-ascent-gx10-ai-supercomputer-based-on-nvidia-dgx-spark-gb10-platform-128gb-unified-memory-2tb-gen5-storage-1-year-warranty-copy","title":"ASUS Ascent GX10 AI Supercomputer Based on NVIDIA DGX Spark GB10 Platform 128GB Unified Memory, 2TB Storage, 1 Year Warranty","description":"\u003cdiv\u003e\u003cstrong\u003eCompact Desktop AI Supercomputer, powered by the NVIDIA GB10 Grace Blackwell Superchip and NVIDIA DGX Spark. Seamless integration and deployment, revolutionizing AI development and research.\u003c\/strong\u003e\u003c\/div\u003e\n\u003cdiv class=\"KvSummary__productIntro__1WXF- KvSummary__themeWhite__21KI0\"\u003e\n\u003cul\u003e\n\u003cli class=\"a-list-item\"\u003e\n\u003cstrong\u003eExtreme AI Performance\u003c\/strong\u003e: Powered by NVIDIA\u003cspan\u003e \u003c\/span\u003eGB10 Grace Blackwell Superchip delivering 1 petaFLOP of AI performance and 128GB memory for 200B model fine-tuning.\u003c\/li\u003e\n\u003cli class=\"a-list-item\"\u003e\n\u003cstrong\u003eDeveloper-Optimized Platform\u003c\/strong\u003e: Tailored for AI researchers and developers with full-stack compatibility and streamlined workflows.\u003c\/li\u003e\n\u003cli class=\"a-list-item\"\u003e\n\u003cstrong\u003eScalable Architecture\u003c\/strong\u003e: Featuring NVIDIA NVLink-C2C for ultra-fast CPU-GPU memory communication and NVIDIA\u003cspan\u003e \u003c\/span\u003eConnectX-7 networking to support dual GX10 system stacking, unlocking superior scalability and performance.\u003c\/li\u003e\n\u003cli class=\"a-list-item\"\u003e\n\u003cstrong\u003eAdvanced Thermal Design\u003c\/strong\u003e: Engineered cooling ensures sustained high performance and reliability in an ultra small form factor.\u003c\/li\u003e\n\u003cli class=\"a-list-item\"\u003e\n\u003cstrong\u003eMinimal Footprint, Maximum Efficiency\u003c\/strong\u003e: High-density compute power in a compact system designed for labs, offices, and edge environments.\u003c\/li\u003e\n\u003cli class=\"a-list-item\"\u003e\n\u003cstrong\u003eFull Stack AI Solution\u003c\/strong\u003e\u003cstrong\u003e:\u003c\/strong\u003e The GB10 and NVIDIA AI software stack provide a full stack solution for AI development and deployment.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cbr\u003e\n\u003cp\u003e\u003cimg alt=\"\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0864\/6144\/8507\/files\/kv.jpg?v=1773219471\"\u003e\u003c\/p\u003e\n\u003cbr\u003e\n\u003ch2 style=\"text-align: center;\" class=\"tagline color-white\" id=\"pageContent-title-kv\"\u003e\n\u003cspan class=\"color-gradient-light sec_title\"\u003eUltra-Small AI Supercomputer\u003c\/span\u003e\u003cstrong\u003eASUS Ascent GX10\u003c\/strong\u003e\n\u003c\/h2\u003e\n\u003ch3 style=\"text-align: center;\" class=\"reveal-bottom-delay1 color-white\"\u003eBased on NVIDIA DGX Spark\u003c\/h3\u003e\n\u003cp\u003eThe ASUS Ascent GX10, accelerated by the NVIDIA GB10 Grace Blackwell Superchip and the NVIDIA AI software stack, provides a full-stack solution for AI development and deployment. Its compact design facilitates seamless integration and deployment, enabling powerful AI performance for innovators who demand excellence. With advanced AI tools and NVIDIA ConnectX-7, this small-scale server enhances your AI capabilities while empowering your unique solutions.\u003c\/p\u003e\n\u003ch3\u003eTechnical Details\u003c\/h3\u003e\n\u003ctable width=\"100%\" style=\"width: 100%;\"\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd style=\"width: 32.563%;\"\u003eModel\u003c\/td\u003e\n\u003ctd style=\"width: 67.2269%;\"\u003eASUS Ascent GX10 \u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"width: 32.563%;\"\u003eOperating System\u003c\/td\u003e\n\u003ctd style=\"width: 67.2269%;\"\u003eUbuntu Linux\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"width: 32.563%;\"\u003eCPU\u003c\/td\u003e\n\u003ctd style=\"width: 67.2269%;\"\u003eARM v9.2-A CPU (GB10)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"width: 32.563%;\"\u003eChipset\u003c\/td\u003e\n\u003ctd style=\"width: 67.2269%;\"\u003eIntegrated\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"width: 32.563%;\"\u003eGraphics\u003c\/td\u003e\n\u003ctd style=\"width: 67.2269%;\"\u003eNVIDIA Blackwell GPU\u003cbr\u003e(GB10, integrated)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"width: 32.563%;\"\u003eMemory\u003c\/td\u003e\n\u003ctd style=\"width: 67.2269%;\"\u003e128 GB LPDDR5x, unified system memory\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"width: 32.563%;\"\u003eStorage\u003c\/td\u003e\n\u003ctd style=\"width: 67.2269%;\"\u003eIncluded: 2TB M.2 NVMe™ PCIe® 5.0 SSD storage\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"width: 32.563%;\"\u003eWireless Data Network\u003c\/td\u003e\n\u003ctd style=\"width: 67.2269%;\"\u003eAW-EM637 Wi-Fi 7 (Gig+) , Bluetooth 5.4, 2*2\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"width: 32.563%;\"\u003eLAN\u003c\/td\u003e\n\u003ctd style=\"width: 67.2269%;\"\u003e10G Gigabit Ethernet\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"width: 32.563%;\"\u003eFront(Side) I\/O Ports\u003c\/td\u003e\n\u003ctd style=\"width: 67.2269%;\"\u003e1 x Power button\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"width: 32.563%;\"\u003eBack I\/O Ports\u003c\/td\u003e\n\u003ctd style=\"width: 67.2269%;\"\u003e3 x USB 3.2 Gen 2x2 Type-C, 20Gbps, alternate mode (DisplayPort 2.1)\u003cbr\u003e1 x USB 3.2 Gen 2x2 Type-C,with PD in(180W EPR PD3.1 SPEC)\u003cbr\u003e1 x HDMI 2.1\u003cbr\u003e1 x NVIDIA® ConnectX®-7 SmartNIC\u003cbr\u003e1 x 10G LAN\u003cbr\u003e1 x Kensington Lock\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"width: 32.563%;\"\u003ePower Supply\u003c\/td\u003e\n\u003ctd style=\"width: 67.2269%;\"\u003ePower cord\u003cbr\u003e240W Adapter\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"width: 32.563%;\"\u003eDimensions (W x D x H)\u003c\/td\u003e\n\u003ctd style=\"width: 67.2269%;\"\u003e150 x 150 x 51 mm (5.91 x 5.91 x 2.01 inch)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"width: 32.563%;\"\u003eWeight\u003c\/td\u003e\n\u003ctd style=\"width: 67.2269%;\"\u003e1.48kg\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"width: 32.563%;\"\u003eColor\u003c\/td\u003e\n\u003ctd style=\"width: 67.2269%;\"\u003eStellar Grey\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"width: 32.563%;\"\u003eAccessories\u003c\/td\u003e\n\u003ctd style=\"width: 67.2269%;\"\u003eAC Adapter\u003cbr\u003ePower Cord\u003cbr\u003eUser Manual\u003cbr\u003eWarranty Card\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"width: 32.563%;\"\u003eCertificates\u003c\/td\u003e\n\u003ctd style=\"width: 67.2269%;\"\u003eBSMI\/CB\/CE\/FCC\/UL\/CCC\/C-Tick\/WiFi\/RF\/VCCI\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003c\/div\u003e","brand":"Asus","offers":[{"title":"Default Title","offer_id":51030033039675,"sku":"1098539","price":459990.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0864\/6144\/8507\/files\/fwebp_1.png?v=1773221609"}],"url":"https:\/\/vishalperipherals.com\/collections\/ai-workstations.oembed","provider":"Vishal Peripherals","version":"1.0","type":"link"}