{"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      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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":43063068655664,"sku":"1097504","price":491470.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0646\/8855\/4032\/files\/MSI_EdgeXpert_AI_Supercomputer_MS-C931.png?v=1779456441","url":"https:\/\/mehtabrothers.in\/products\/msi-edgexpert-ms-c931-compact-desktop-ai-supercomputer","provider":"Mehta Brothers Shop","version":"1.0","type":"link"}