{"product_id":"pny-nvidia-dgx-spark-gb10-128-gb-lpddr5x-sdram-4-tb-ssd-dgx-os-gold","title":"PNY NVIDIA DGX Spark GB10 128 GB LPDDR5x-SDRAM 4 TB SSD DGX OS Gold","description":"\u003cdiv id=\"icepim-short-desc\"\u003eNVIDIA Grace Blackwell, 128GB LPDDR5x, 4TB NVME.M2, 4x USB Type C, Wi-Fi 7, BT 5.3\u003c\/div\u003e\u003cdiv id=\"icepim-long-desc\"\u003e\u003cp id=\"ice_long_description\"\u003e\u003cb\u003eA Grace Blackwell AI Supercomputer on Your Desk\u003c\/b\u003e\u003cbr\u003eNVIDIA DGX™ Spark belongs to a new class computers designed to build and run AI, enabling developers to prototype, fine-tune and inference large AI models locally and seamlessly deploy to the data center or cloud.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eNVIDIA DGX Spark\u003c\/b\u003e\u003cbr\u003ePowered by the NVIDIA GB10 Grace Blackwell Superchip, NVIDIA DGX™ Spark delivers 1000 AI TOPS of AI performance in a power-efficient, compact form factor. With the NVIDIA AI software stack preinstalled and 128GB of memory, developers can prototype, fine-tune, and inference the latest generation of reasoning AI models from DeepSeek, Meta, Google, and others with up to 200 billion parameters locally, and seamlessly deploy to the data center or cloud.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eNVIDIA GB10 Superchip\u003c\/b\u003e\u003cbr\u003eThe NVIDIA Grace Blackwell architecture delivers a powerful system-on-a-chip (SoC) solution combining NVIDIA Blackwell GPU technology with Arm CPU cores to deliver supercomputer level performance in an efficient, compact SoC.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eCPU Cores\u003c\/b\u003e\u003cbr\u003eThe GB10 provides 20 Arm cores, 10 Cortex-X925 cores and 10 Cortex-A725 cores.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eBlackwell GPU\u003c\/b\u003e\u003cbr\u003eThe GB10 Blackwell GPU provides 6144 CUDA Cores to accelerate graphics and FP32 compute workloads, 5th generation Tensor cores that provide up to 1,000 AI TOPS1 1Theoretical FP4 TOPS performance using sparsity feature of FP4 performance, and 4th generation RT cores that provide real time ray tracing acceleration. The GPU also includes 5th generation NVDEC and 9th generation NVENC engines for accelerated encoding and decoding of MPEG-2, VC-1, H.264 (AVCHD), H.265 (HEVC), VP8, VP9, and AV1 video formats, including support for 4:2:2 H.264 and H.265 video.\u003cbr\u003e\u003cbr\u003e\u003cb\u003e128GB LPDDR5x Memory\u003c\/b\u003e\u003cbr\u003eThe DGX Spark features 128GB of coherent, unified LPDDR5x system memory. Accessible to both CPU and GPU, DGX Spark enables users to work with large workloads including AI models of up to 200 billion parameters.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eNVIDIA ConnectX®-7 NIC\u003c\/b\u003e\u003cbr\u003eEquipped with a ConnectX-7 Smart NIC, the DGX Spark provides up to 100 gigabit ethernet (GbE). Connecting two DGX Spark systems via the ConnectX-7 networking port enables users to work with AI models of up to 405 billion parameters.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eNVIDIA DGX OS\u003c\/b\u003e\u003cbr\u003eWith the NVIDIA DGX OS pre-installed, the DGX Spark development environment will be familiar to DGX developers. Including Ubuntu Linux, the DGX OS system software makes it easy to move work to DGX Cloud or any accelerated data center or cloud infrastructure. Installed software also includes RTX toolkits and libraries, supporting NVIDIA RTX visualization technologies.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eNVIDIA AI Software\u003c\/b\u003e\u003cbr\u003eIn addition to the DGX OS, DGX Spark includes the NVIDIA AI software stack which includes CUDA, CUDA-X toolkits and libraries to enable AI developers to quickly bring up their AI projects and workflows. Users can install their favorite AI frameworks, SDKs, and services such as PyTorch, TensorFlow, or Jupyter Notebooks or take advantage of NVIDIA platforms and frameworks such as NVIDIA Isaac Sim™, NVIDIA Metropolis, or NVIDIA Holoscan and NVIDIA NIMs and AI Blueprint example workflows.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eNVIDIA DGX Spark Founders Edition Product Design\u003c\/b\u003e\u003cbr\u003eThe NVIDIA DGX Spark is a compact desktop system, measuring 150 mm L x 150 mm W x 50.5 mm H, able to fit onto any desktop with minimal space required. The system is designed to look like the original DGX 1 system, the original AI supercomputer that was first delivered to customers in 2016, making it an attractive addition to any workspace.\u003c\/p\u003e\u003c\/div\u003e\u003cdiv id=\"icepim-attributes\"\u003e\n\u003ctable\u003e\n\u003cthead\u003e\u003ctr\u003e\u003cth colspan=\"2\"\u003eProcessor\u003c\/th\u003e\u003c\/tr\u003e\u003c\/thead\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eProcessor cores\u003c\/td\u003e\n\u003ctd\u003e20\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eProcessor model\u003c\/td\u003e\n\u003ctd\u003eGB10\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eProcessor manufacturer\u003c\/td\u003e\n\u003ctd\u003eNvidia\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003ctable\u003e\n\u003cthead\u003e\u003ctr\u003e\u003cth colspan=\"2\"\u003eMemory\u003c\/th\u003e\u003c\/tr\u003e\u003c\/thead\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eInternal memory type\u003c\/td\u003e\n\u003ctd\u003eLPDDR5x-SDRAM\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eInternal memory\u003c\/td\u003e\n\u003ctd\u003e128 GB\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003ctable\u003e\n\u003cthead\u003e\u003ctr\u003e\u003cth colspan=\"2\"\u003eStorage\u003c\/th\u003e\u003c\/tr\u003e\u003c\/thead\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eSSD form factor\u003c\/td\u003e\n\u003ctd\u003eM.2\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eNVMe\u003c\/td\u003e\n\u003ctd\u003eYes\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eStorage media\u003c\/td\u003e\n\u003ctd\u003eSSD\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eOptical drive type\u003c\/td\u003e\n\u003ctd\u003eNo\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eTotal storage capacity\u003c\/td\u003e\n\u003ctd\u003e4 TB\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003ctable\u003e\n\u003cthead\u003e\u003ctr\u003e\u003cth colspan=\"2\"\u003eGraphics\u003c\/th\u003e\u003c\/tr\u003e\u003c\/thead\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eOn-board graphics card model\u003c\/td\u003e\n\u003ctd\u003eNVIDIA Blackwell\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eOn-board GPU manufacturer\u003c\/td\u003e\n\u003ctd\u003eNVIDIA\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eDiscrete graphics card model\u003c\/td\u003e\n\u003ctd\u003eNot available\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eOn-board graphics card\u003c\/td\u003e\n\u003ctd\u003eYes\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eDiscrete graphics card\u003c\/td\u003e\n\u003ctd\u003eNo\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003ctable\u003e\n\u003cthead\u003e\u003ctr\u003e\u003cth colspan=\"2\"\u003eNetwork\u003c\/th\u003e\u003c\/tr\u003e\u003c\/thead\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eBluetooth version\u003c\/td\u003e\n\u003ctd\u003e5.3\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eBluetooth Low Energy (BLE)\u003c\/td\u003e\n\u003ctd\u003eYes\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eBluetooth\u003c\/td\u003e\n\u003ctd\u003eYes\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eTop Wi-Fi standard\u003c\/td\u003e\n\u003ctd\u003eWi-Fi 7 (802.11be)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eWi-Fi\u003c\/td\u003e\n\u003ctd\u003eYes\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eEthernet LAN data rates\u003c\/td\u003e\n\u003ctd\u003e10000 Mbit\/s\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eEthernet LAN\u003c\/td\u003e\n\u003ctd\u003eYes\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003ctable\u003e\n\u003cthead\u003e\u003ctr\u003e\u003cth colspan=\"2\"\u003ePorts \u0026amp; 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dimensions\u003c\/th\u003e\u003c\/tr\u003e\u003c\/thead\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eWeight\u003c\/td\u003e\n\u003ctd\u003e1.2 kg\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eHeight\u003c\/td\u003e\n\u003ctd\u003e50.5 mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eDepth\u003c\/td\u003e\n\u003ctd\u003e150 mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eWidth\u003c\/td\u003e\n\u003ctd\u003e150 mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003c\/div\u003e","brand":"PNY","offers":[{"title":"Default Title","offer_id":43296782090446,"sku":"DGXSPARK-FOUNDEDIT-EU","price":144141.0,"currency_code":"ZAR","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0661\/6108\/2574\/files\/df84261ba9d387dadfbec037df2f6ec0.jpg?v=1764619268","url":"https:\/\/truetech.co.za\/products\/pny-nvidia-dgx-spark-gb10-128-gb-lpddr5x-sdram-4-tb-ssd-dgx-os-gold","provider":"TrueTech","version":"1.0","type":"link"}