{"product_id":"nvidia-dgx-spark","title":"NVIDIA DGX Spark","description":"\u003cdiv class=\"nv-title text h--medium aem-GridColumn--tablet--12 aem-GridColumn--offset--tablet--0 aem-GridColumn--default--none aem-GridColumn--phone--none aem-GridColumn--phone--12 aem-GridColumn--tablet--none aem-GridColumn aem-GridColumn--default--7 aem-GridColumn--offset--phone--0 aem-GridColumn--offset--default--0\"\u003e\n\u003cdiv id=\"nv-title-10385987dd\" class=\"general-container-text\"\u003e\n\u003cdiv class=\"text-left lap-text-left tab-text-center mob-text-center\"\u003e\n\u003ch2 class=\"title\"\u003eSpark Something Big\u003c\/h2\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"nv-text text aem-GridColumn--tablet--12 aem-GridColumn--offset--tablet--0 aem-GridColumn--default--none aem-GridColumn--phone--none aem-GridColumn--phone--12 aem-GridColumn--tablet--none aem-GridColumn aem-GridColumn--default--7 aem-GridColumn--offset--phone--0 aem-GridColumn--offset--default--0\"\u003e\n\u003cdiv id=\"nv-text-ee7fc092f1\" class=\"general-container-text\"\u003e\n\u003cdiv class=\"text-left lap-text-left tab-text-center mob-text-center\"\u003e\n\u003cdiv class=\"description\"\u003e\n\u003cp\u003e\u003cspan class=\"p--large\"\u003ePowered by the NVIDIA GB10 Grace Blackwell Superchip, NVIDIA DGX Spark™ delivers up to one petaFLOP1 of FP4 AI performance in a power-efficient, compact form factor. With a preinstalled NVIDIA AI software stack and 128 GB of memory, developers can prototype, fine-tune, and deploy the latest reasoning AI models. Additionally, NVIDIA NemoClaw, part of the NVIDIA Agent Toolkit is an open source agent development platform for building, evaluating, and optimizing safer, long-running autonomous agents directly from the desktop.\u003c\/span\u003e\u003c\/p\u003e\n\u003ch2 class=\"title\"\u003eFeatures\u003c\/h2\u003e\n\u003cp\u003e\u003cimg\u003e\u003cimg\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0672\/4229\/5401\/files\/Screenshot_2026-03-25_195424.png?v=1774448704\" alt=\"\"\u003e\u003c\/p\u003e\n\u003ch2\u003eA Grace Blackwell AI supercomputer on Your Desk\u003c\/h2\u003e\n\u003ch4\u003e1. Based on NVIDIA Grace Blackwell Architecture\u003c\/h4\u003e\n\u003cp\u003eAt the heart of DGX Spark is the new GB10 Grace Blackwell Superchip, based on the Grace Blackwell architecture and optimized for a desktop form factor. GB10 features a powerful Blackwell GPU with fifth-generation Tensor Cores and FP4 support, delivering up to 1000 AI TOPS of compute. GB10 also includes a high-performance Grace 20-core Arm CPU to supercharge data preprocessing and orchestration, speeding up model tuning and real-time inferencing. The GB10 Superchip uses the NVLink™-C2C to deliver a CPU+GPU coherent memory model with 5X the bandwidth of PCIe Gen 5.\u003c\/p\u003e\n\u003ch4\u003e2. Work With the Latest Generation of Large-Parameter Generative AI Models\u003c\/h4\u003e\n\u003cp\u003eWith 128 GB of unified system memory and support for the FP4 data format, DGX Spark can support AI models of up to 200B parameters, enabling AI developers to prototype, fine-tune and inference the latest generation of AI reasoning models—such as DeepSeek R1 distilled versions up to 70 billion parameters—on their desktop. With built-in NVIDIA ConnectX™ network technology, two DGX Spark systems can be connected to work on even larger models such as Llama 3.1 405B.\u003c\/p\u003e\n\u003ch4\u003e3. Develop Locally, Deploy Anywhere at Scale\u003c\/h4\u003e\n\u003cp\u003eDGX Spark provides developers with a powerful, experimentation ground for prototyping models and AI applications, freeing up valuable compute resources in their cluster environments better suited for training and deploying production models. Leveraging the NVIDIA AI platform software architecture makes it possible for DGX Spark users to seamlessly move their models from their desktop to DGX Cloud or any accelerated cloud or data center infrastructure with virtually no code changes, making it easier than ever to prototype, fine-tune, and iterate.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eTechnical Specifications:\u003c\/strong\u003e\u003c\/p\u003e\n\u003ctable style=\"width: 100.036%; height: 490px;\"\u003e\n\u003ctbody\u003e\n\u003ctr style=\"height: 19.6px;\"\u003e\n\u003ctd style=\"width: 27.3396%; height: 19.6px;\"\u003eArchitecture\u003c\/td\u003e\n\u003ctd style=\"width: 70.2005%; height: 19.6px;\"\u003eNVIDIA Grace Blackwell\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.6px;\"\u003e\n\u003ctd style=\"width: 27.3396%; height: 19.6px;\"\u003eGPU\u003c\/td\u003e\n\u003ctd style=\"width: 70.2005%; height: 19.6px;\"\u003eNVIDIA Blackwell Architecture\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.6px;\"\u003e\n\u003ctd style=\"width: 27.3396%; height: 19.6px;\"\u003eCPU\u003c\/td\u003e\n\u003ctd style=\"width: 70.2005%; height: 19.6px;\"\u003e20 core Arm (10 Cortex-X925 + 10 Cortex-A725)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.6px;\"\u003e\n\u003ctd style=\"width: 27.3396%; height: 19.6px;\"\u003eCUDA Cores\u003c\/td\u003e\n\u003ctd style=\"width: 70.2005%; height: 19.6px;\"\u003eNVIDIA Blackwell Generation\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.6px;\"\u003e\n\u003ctd style=\"width: 27.3396%; height: 19.6px;\"\u003eTensor Cores\u003c\/td\u003e\n\u003ctd style=\"width: 70.2005%; height: 19.6px;\"\u003e5th Generation\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.6px;\"\u003e\n\u003ctd style=\"width: 27.3396%; height: 19.6px;\"\u003eRT Cores\u003c\/td\u003e\n\u003ctd style=\"width: 70.2005%; height: 19.6px;\"\u003e4th Generation\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.6px;\"\u003e\n\u003ctd style=\"width: 27.3396%; height: 19.6px;\"\u003eTensor Performance\u003c\/td\u003e\n\u003ctd style=\"width: 70.2005%; height: 19.6px;\"\u003e1 PFLOP\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.6px;\"\u003e\n\u003ctd style=\"width: 27.3396%; height: 19.6px;\"\u003eSystem Memory\u003c\/td\u003e\n\u003ctd style=\"width: 70.2005%; height: 19.6px;\"\u003e128 GB LPDDR5x, coherent unified system memory\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.6px;\"\u003e\n\u003ctd style=\"width: 27.3396%; height: 19.6px;\"\u003eMemory Interface\u003c\/td\u003e\n\u003ctd style=\"width: 70.2005%; height: 19.6px;\"\u003e256-bit\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.6px;\"\u003e\n\u003ctd style=\"width: 27.3396%; height: 19.6px;\"\u003eMemory Bandwidth\u003c\/td\u003e\n\u003ctd style=\"width: 70.2005%; height: 19.6px;\"\u003eUp to 273 GB\/s\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.6px;\"\u003e\n\u003ctd style=\"width: 27.3396%; height: 19.6px;\"\u003eStorage\u003c\/td\u003e\n\u003ctd style=\"width: 70.2005%; height: 19.6px;\"\u003e4 TB NVMe M.2 with self-encryption\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.6px;\"\u003e\n\u003ctd style=\"width: 27.3396%; height: 19.6px;\"\u003eUSB\u003c\/td\u003e\n\u003ctd style=\"width: 70.2005%; height: 19.6px;\"\u003e4x USB Type-C\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.6px;\"\u003e\n\u003ctd style=\"width: 27.3396%; height: 19.6px;\"\u003eEthernet\u003c\/td\u003e\n\u003ctd style=\"width: 70.2005%; height: 19.6px;\"\u003e1x RJ-45 connector, 10 GbE\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.6px;\"\u003e\n\u003ctd style=\"width: 27.3396%; height: 19.6px;\"\u003eNIC\u003c\/td\u003e\n\u003ctd style=\"width: 70.2005%; height: 19.6px;\"\u003eConnectX-7 NIC @ 200 Gbps\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.6px;\"\u003e\n\u003ctd style=\"width: 27.3396%; height: 19.6px;\"\u003eWi-Fi\u003c\/td\u003e\n\u003ctd style=\"width: 70.2005%; height: 19.6px;\"\u003eWiFi 7\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.6px;\"\u003e\n\u003ctd style=\"width: 27.3396%; height: 19.6px;\"\u003eBluetooth\u003c\/td\u003e\n\u003ctd style=\"width: 70.2005%; height: 19.6px;\"\u003eBT 5.4 with LE\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.6px;\"\u003e\n\u003ctd style=\"width: 27.3396%; height: 19.6px;\"\u003eAudio Output\u003c\/td\u003e\n\u003ctd style=\"width: 70.2005%; height: 19.6px;\"\u003eHDMI multichannel audio output\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.6px;\"\u003e\n\u003ctd style=\"width: 27.3396%; height: 19.6px;\"\u003ePower Supply\u003c\/td\u003e\n\u003ctd style=\"width: 70.2005%; height: 19.6px;\"\u003e240 W\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.6px;\"\u003e\n\u003ctd style=\"width: 27.3396%; height: 19.6px;\"\u003eGB10 TDP\u003c\/td\u003e\n\u003ctd style=\"width: 70.2005%; height: 19.6px;\"\u003e140 W\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.6px;\"\u003e\n\u003ctd style=\"width: 27.3396%; height: 19.6px;\"\u003eDisplay Connectors\u003c\/td\u003e\n\u003ctd style=\"width: 70.2005%; height: 19.6px;\"\u003e1x HDMI 2.1a\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.6px;\"\u003e\n\u003ctd style=\"width: 27.3396%; height: 19.6px;\"\u003eNVENC \/ NVDEC\u003c\/td\u003e\n\u003ctd style=\"width: 70.2005%; height: 19.6px;\"\u003e1x \/ 1x\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.6px;\"\u003e\n\u003ctd style=\"width: 27.3396%; height: 19.6px;\"\u003eOS\u003c\/td\u003e\n\u003ctd style=\"width: 70.2005%; height: 19.6px;\"\u003eNVIDIA DGX™ OS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.6px;\"\u003e\n\u003ctd style=\"width: 27.3396%; height: 19.6px;\"\u003eSystem Dimensions\u003c\/td\u003e\n\u003ctd style=\"width: 70.2005%; height: 19.6px;\"\u003e150 mm (L) x 150 mm (W) x 50.5 mm (H)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.6px;\"\u003e\n\u003ctd style=\"width: 27.3396%; height: 19.6px;\"\u003eSystem Weight\u003c\/td\u003e\n\u003ctd style=\"width: 70.2005%; height: 19.6px;\"\u003e1.2 kg\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cp\u003e \u003c\/p\u003e\nDatasheet: \u003ca href=\"https:\/\/nvdam.widen.net\/s\/tlzm8smqjx\/workstation-datasheet-dgx-spark-gtc25-spring-nvidia-us-3716899-web\" rel=\"noopener\" target=\"_blank\"\u003e\u003cspan style=\"text-decoration: underline; color: rgb(43, 0, 255);\"\u003e\u003cstrong\u003eDownload\u003c\/strong\u003e\u003c\/span\u003e\u003c\/a\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e","brand":"Nvidia","offers":[{"title":"Default Title","offer_id":43059701940329,"sku":"NVD-017","price":499999.99,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0672\/4229\/5401\/files\/spark-3qtr-right.png?v=1774449134","url":"https:\/\/edgetechrobotics.com\/products\/nvidia-dgx-spark","provider":"EdgeTech Robotics","version":"1.0","type":"link"}