{"product_id":"nvidia-dgx-128gb-unified-memory-4tb-gen5-ssd","title":"NVIDIA DGX Spark AI Supercomputer – 128GB Unified Memory, 4TB NVMe SSD","description":"\u003cdiv style=\"color:#ffffff;\"\u003e\n  \u003ch2\u003eNVIDIA DGX Spark – Personal AI Supercomputer\u003c\/h2\u003e\n  \u003cp\u003eBring advanced AI development to your desktop with the NVIDIA DGX Spark, a compact AI supercomputer powered by the NVIDIA GB10 Grace Blackwell Superchip. Designed for developers, researchers, and AI professionals, DGX Spark provides a powerful platform for running large AI models locally, experimenting with generative AI, and developing intelligent applications without relying entirely on cloud infrastructure.\u003c\/p\u003e\n\n  \u003cp\u003eWith 128GB of coherent unified memory, up to 1 PFLOP of theoretical FP4 AI performance, and 4TB of NVMe storage, DGX Spark combines substantial memory capacity and AI computing power in an exceptionally compact form factor.\u003c\/p\u003e\n\n  \u003ch3\u003eKey Features\u003c\/h3\u003e\n  \u003cul\u003e\n    \u003cli\u003e\n\u003cstrong\u003eNVIDIA GB10 Grace Blackwell Superchip:\u003c\/strong\u003e Combines CPU and GPU computing in an integrated AI-focused platform.\u003c\/li\u003e\n    \u003cli\u003e\n\u003cstrong\u003e128GB Unified Memory:\u003c\/strong\u003e High-capacity shared memory for supported AI models, development workloads, and data processing.\u003c\/li\u003e\n    \u003cli\u003e\n\u003cstrong\u003eUp to 1 PFLOP FP4 AI Performance:\u003c\/strong\u003e Designed to accelerate supported AI inference and development workloads.\u003c\/li\u003e\n    \u003cli\u003e\n\u003cstrong\u003e4TB NVMe Storage:\u003c\/strong\u003e High-capacity internal storage with self-encryption for models, datasets, and development projects.\u003c\/li\u003e\n    \u003cli\u003e\n\u003cstrong\u003e20-Core Grace CPU:\u003c\/strong\u003e Features 10 Arm Cortex-X925 cores and 10 Arm Cortex-A725 cores.\u003c\/li\u003e\n    \u003cli\u003e\n\u003cstrong\u003eBlackwell Tensor Cores:\u003c\/strong\u003e Fifth-generation Tensor Cores and fourth-generation RT Cores.\u003c\/li\u003e\n    \u003cli\u003e\n\u003cstrong\u003eHigh-Speed Networking:\u003c\/strong\u003e ConnectX-7 networking with up to 200Gbps connectivity, plus 10GbE Ethernet.\u003c\/li\u003e\n    \u003cli\u003e\n\u003cstrong\u003eCompact Design:\u003c\/strong\u003e A small desktop system measuring approximately 150 × 150 × 50.5 mm.\u003c\/li\u003e\n    \u003cli\u003e\n\u003cstrong\u003eNVIDIA DGX OS:\u003c\/strong\u003e A purpose-built software environment for AI development and deployment.\u003c\/li\u003e\n  \u003c\/ul\u003e\n\n  \u003ch3\u003eSpecifications\u003c\/h3\u003e\n  \u003ctable style=\"width:100%; border-collapse:collapse; color:#ffffff;\"\u003e\n    \u003ctbody\u003e\n      \u003ctr\u003e\n\u003ctd style=\"border:1px solid #555; padding:10px;\"\u003eProduct\u003c\/td\u003e\n\u003ctd style=\"border:1px solid #555; padding:10px;\"\u003eNVIDIA DGX Spark\u003c\/td\u003e\n\u003c\/tr\u003e\n      \u003ctr\u003e\n\u003ctd style=\"border:1px solid #555; padding:10px;\"\u003eAI Superchip\u003c\/td\u003e\n\u003ctd style=\"border:1px solid #555; padding:10px;\"\u003eNVIDIA GB10 Grace Blackwell\u003c\/td\u003e\n\u003c\/tr\u003e\n      \u003ctr\u003e\n\u003ctd style=\"border:1px solid #555; padding:10px;\"\u003eArchitecture\u003c\/td\u003e\n\u003ctd style=\"border:1px solid #555; padding:10px;\"\u003eNVIDIA Grace Blackwell\u003c\/td\u003e\n\u003c\/tr\u003e\n      \u003ctr\u003e\n\u003ctd style=\"border:1px solid #555; padding:10px;\"\u003eCPU\u003c\/td\u003e\n\u003ctd style=\"border:1px solid #555; padding:10px;\"\u003e20-core Arm CPU: 10 Cortex-X925 + 10 Cortex-A725\u003c\/td\u003e\n\u003c\/tr\u003e\n      \u003ctr\u003e\n\u003ctd style=\"border:1px solid #555; padding:10px;\"\u003eUnified Memory\u003c\/td\u003e\n\u003ctd style=\"border:1px solid #555; padding:10px;\"\u003e128GB LPDDR5x\u003c\/td\u003e\n\u003c\/tr\u003e\n      \u003ctr\u003e\n\u003ctd style=\"border:1px solid #555; padding:10px;\"\u003eMemory Interface\u003c\/td\u003e\n\u003ctd style=\"border:1px solid #555; padding:10px;\"\u003e256-bit\u003c\/td\u003e\n\u003c\/tr\u003e\n      \u003ctr\u003e\n\u003ctd style=\"border:1px solid #555; padding:10px;\"\u003eMemory Bandwidth\u003c\/td\u003e\n\u003ctd style=\"border:1px solid #555; padding:10px;\"\u003e273GB\/s\u003c\/td\u003e\n\u003c\/tr\u003e\n      \u003ctr\u003e\n\u003ctd style=\"border:1px solid #555; padding:10px;\"\u003eAI Performance\u003c\/td\u003e\n\u003ctd style=\"border:1px solid #555; padding:10px;\"\u003eUp to 1 PFLOP FP4, theoretical\u003c\/td\u003e\n\u003c\/tr\u003e\n      \u003ctr\u003e\n\u003ctd style=\"border:1px solid #555; padding:10px;\"\u003eTensor Cores\u003c\/td\u003e\n\u003ctd style=\"border:1px solid #555; padding:10px;\"\u003eFifth Generation\u003c\/td\u003e\n\u003c\/tr\u003e\n      \u003ctr\u003e\n\u003ctd style=\"border:1px solid #555; padding:10px;\"\u003eRT Cores\u003c\/td\u003e\n\u003ctd style=\"border:1px solid #555; padding:10px;\"\u003eFourth Generation\u003c\/td\u003e\n\u003c\/tr\u003e\n      \u003ctr\u003e\n\u003ctd style=\"border:1px solid #555; padding:10px;\"\u003eStorage\u003c\/td\u003e\n\u003ctd style=\"border:1px solid #555; padding:10px;\"\u003e4TB NVMe M.2 SSD with self-encryption\u003c\/td\u003e\n\u003c\/tr\u003e\n      \u003ctr\u003e\n\u003ctd style=\"border:1px solid #555; padding:10px;\"\u003eOperating System\u003c\/td\u003e\n\u003ctd style=\"border:1px solid #555; padding:10px;\"\u003eNVIDIA DGX OS\u003c\/td\u003e\n\u003c\/tr\u003e\n      \u003ctr\u003e\n\u003ctd style=\"border:1px solid #555; padding:10px;\"\u003eEthernet\u003c\/td\u003e\n\u003ctd style=\"border:1px solid #555; padding:10px;\"\u003e10GbE RJ-45\u003c\/td\u003e\n\u003c\/tr\u003e\n      \u003ctr\u003e\n\u003ctd style=\"border:1px solid #555; padding:10px;\"\u003eNetworking\u003c\/td\u003e\n\u003ctd style=\"border:1px solid #555; padding:10px;\"\u003eConnectX-7 Smart NIC with two QSFP network ports\u003c\/td\u003e\n\u003c\/tr\u003e\n      \u003ctr\u003e\n\u003ctd style=\"border:1px solid #555; padding:10px;\"\u003eWireless\u003c\/td\u003e\n\u003ctd style=\"border:1px solid #555; padding:10px;\"\u003eWi-Fi 7 and Bluetooth\u003c\/td\u003e\n\u003c\/tr\u003e\n      \u003ctr\u003e\n\u003ctd style=\"border:1px solid #555; padding:10px;\"\u003eUSB\u003c\/td\u003e\n\u003ctd style=\"border:1px solid #555; padding:10px;\"\u003e4 × USB Type-C\u003c\/td\u003e\n\u003c\/tr\u003e\n      \u003ctr\u003e\n\u003ctd style=\"border:1px solid #555; padding:10px;\"\u003eDisplay Output\u003c\/td\u003e\n\u003ctd style=\"border:1px solid #555; padding:10px;\"\u003e1 × HDMI 2.1a, plus DisplayPort over supported USB-C connections\u003c\/td\u003e\n\u003c\/tr\u003e\n      \u003ctr\u003e\n\u003ctd style=\"border:1px solid #555; padding:10px;\"\u003eDimensions\u003c\/td\u003e\n\u003ctd style=\"border:1px solid #555; padding:10px;\"\u003e150 × 150 × 50.5 mm\u003c\/td\u003e\n\u003c\/tr\u003e\n      \u003ctr\u003e\n\u003ctd style=\"border:1px solid #555; padding:10px;\"\u003eWeight\u003c\/td\u003e\n\u003ctd style=\"border:1px solid #555; padding:10px;\"\u003eApproximately 1.2kg\u003c\/td\u003e\n\u003c\/tr\u003e\n    \u003c\/tbody\u003e\n  \u003c\/table\u003e\n\n  \u003ch3\u003eIdeal For\u003c\/h3\u003e\n  \u003cul\u003e\n    \u003cli\u003eLocal large language model inference and experimentation\u003c\/li\u003e\n    \u003cli\u003eGenerative AI and AI agent development\u003c\/li\u003e\n    \u003cli\u003eAI model prototyping and fine-tuning within supported memory and compute limits\u003c\/li\u003e\n    \u003cli\u003eResearch, data science, and machine learning development\u003c\/li\u003e\n    \u003cli\u003eBuilding and testing AI applications before deployment to data centres or cloud environments\u003c\/li\u003e\n  \u003c\/ul\u003e\n\n  \u003ch3\u003eWhat's in the Box\u003c\/h3\u003e\n  \u003cul\u003e\n    \u003cli\u003eNVIDIA DGX Spark system\u003c\/li\u003e\n    \u003cli\u003ePower supply\u003c\/li\u003e\n    \u003cli\u003eQuick-start documentation and support information\u003c\/li\u003e\n  \u003c\/ul\u003e\n\n  \u003ch3\u003eWarranty\u003c\/h3\u003e\n  \u003cp\u003eWarranty coverage is subject to the authorised seller, distributor, and applicable regional terms. Please confirm the warranty duration at the time of purchase.\u003c\/p\u003e\n\n  \u003cp\u003e\u003cem\u003eNote: Specifications are based on NVIDIA's published DGX Spark information. Confirm the exact storage configuration, included accessories, and regional warranty with the seller before ordering.\u003c\/em\u003e\u003c\/p\u003e\n\u003c\/div\u003e","brand":"NVIDIA","offers":[{"title":"Default Title","offer_id":50809936675071,"sku":null,"price":684800.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0789\/5144\/8831\/files\/imgi_42_516QauLL31L._SX679.webp?v=1793096516","url":"https:\/\/studbudpc.com\/products\/nvidia-dgx-128gb-unified-memory-4tb-gen5-ssd","provider":"StudbudPC","version":"1.0","type":"link"}