# NVIDIA DGX Spark Designed to build and run autonomous agents. ### Where to Buy Find your best purchase option on the NVIDIA Marketplace. [Buy Now](https://marketplace.nvidia.com/en-eu/developer/dgx-spark/) [Support](https://www.nvidia.com/en-eu/support/dgx-spark.md) [Datasheet](https://dam-cdn.nvd.orangelogic.com/AssetLink/3lhuar5pc56pn7se4c7ahsskw20xw8h5.pdf) | [Specifications](#m-specs) | [Forum](https://forums.developer.nvidia.com/c/accelerated-computing/dgx-spark-gb10/719) ### Overview ## Desktop Agent Computer Powered by the NVIDIA GB10 Grace Blackwell Superchip, NVIDIA DGX Spark™ is a complete platform for local autonomous agents. Large local memory, powerful AI compute and the NVIDIA AI software stack enable agents and large models to run locally, reducing the need for cloud-based token generation resources. With a compact, power efficient design, DGX Spark is built to run always-on agent workloads - right from the desktop. ### Build Local AI Agents Faster with NVIDIA DGX Spark A new DGX OS update adds streamlined NemoClaw installation, the latest state-of-the-art open models, and up to 1.9x inference speedups to accelerate agentic AI development on DGX Spark. [Read Blog](https://blogs.nvidia.com/blog/nvidia-gtc-taipei-computex-2026-news/#dgx-spark) ### NVIDIA Announces NemoClaw for OpenClaw Community NemoClaw adds security and privacy to run secure, always-on AI assistants on NVIDIA RTX PCs, DGX Station, and DGX Spark. [Read Press Release](https://nvidianews.nvidia.com/news/nvidia-announces-nemoclaw) --- ### Run Autonomous Agents More Safely NVIDIA Agent Toolkit with NVIDIA OpenShell™ provides open source models and software for developers to build and deploy safer autonomous agents. [NVIDIA NemoClaw](https://build.nvidia.com/spark/nemoclaw) is an open source reference stack that adds security and privacy guardrails to OpenClaw using OpenShell. [Learn More About OpenShell](https://build.nvidia.com/openshell?ncid=pa-srch-goog-984177) --- ## Playbooks for Everyone From novice to expert, leverage our curated playbooks to get off to a running start on various projects. Playbooks contain step-by-step recipes to demonstrate the art of the possible. [Browse DGX Spark Playbooks](http://build.nvidia.com/spark) ### Getting Started With Your DGX Spark Here are some resources that can help you get up and running fast. |  [User Manual](https://docs.nvidia.com/dgx/dgx-spark/index.html)  |  [Unboxing Video](https://www.youtube.com/watch?v=AamP-LbGHXQ&feature=youtu.be)  |  [FAQ](https://forums.developer.nvidia.com/t/dgx-spark-gb10-faq/347344)  |  [Support](https://www.nvidia.com/en-us/support/dgx-spark.md) --- ## Features ## NVIDIA GPU, CPU, Networking, and AI Software Technologies ### NVIDIA GB10 Superchip Experience up to  1 petaFLOP  of AI performance at FP4 precision with the NVIDIA Grace Blackwell architecture. ### 128 GB of Coherent Unified System Memory Run AI development and testing workloads with AI models up to 200 billion parameters at your desktop with a large, unified system memory. ### NVIDIA ConnectX Networking High-performance NVIDIA ConnectX networking enables the connection of up to four NVIDIA DGX Spark systems to work with AI models of up to 700 billion parameters. ### NVIDIA AI Software Stack Utilize a full-stack solution for generative AI workloads, encompassing NVIDIA tools, frameworks, libraries, and pre-trained models including NVIDIA NIM. --- ## Workloads ## Accelerate All Agentic AI Workloads Delivering the power of Grace Blackwell  in a desktop-friendly size, NVIDIA DGX Spark is ideal for AI developer, researcher, and data scientist workloads. #### Prototyping Develop, test, and validate AI models and applications. With the NVIDIA AI software stack, NVIDIA DGX Spark provides a platform for developers to create, test, and validate AI models, as well as build AI agents, AI-augmented applications, and solutions. For final tuning or deployment, conveniently evaluate the work for eventual migration to the NVIDIA DGX cloud or other NVIDIA-accelerated data centers or cloud infrastructures. #### Fine-Tuning Fine-tune AI models up to 70 billion parameters. Improve the performance of pre-trained models by fine-tuning on NVIDIA DGX Spark. With 128 GB of unified system memory, fine-tune models up to 70 billion parameters to customize AI models and solutions for specific needs and use cases. #### Inference Test, validate, and inference with AI models up to 200 billion parameters. Fifth-generation Tensor Cores with support for FP4 deliver up to 1 petaFLOP of AI computing performance, combined with 128 GB of system memory, accelerating inference of state-of-the-art AI models to test, validate, and deploy from your NVIDIA DGX Spark. #### Data Science High-performance data science at your desk. NVIDIA DGX Spark’s combination of 128 GB of unified memory and 1 PetaFLOP of parallel throughput maximizes performance of large, computationally complex data analytics and machine learning workflows at your desk. #### Edge Applications Develop edge applications with NVIDIA AI frameworks, including NVIDIA Isaac™, Metropolis, and many others. NVIDIA DGX Spark offers an exceptional platform for developing robotics, smart city, and computer vision solutions. NVIDIA frameworks include [Isaac](https://developer.nvidia.com/isaac), [Metropolis](https://www.nvidia.com/en-eu/autonomous-machines/intelligent-video-analytics-platform.md), and [Holoscan](https://developer.nvidia.com/holoscan-sdk), enabling developers to leverage the power of NVIDIA DGX Spark to develop edge applications quickly. ### NVIDIA AI Enterprise—DGX Spark A cloud-native suite of software tools, libraries, and frameworks accelerating production-grade AI development. Combines enterprise-grade security, optimized performance, and enterprise-level support to streamline prototype-to-production for next-gen agentic AI. [Get Started](https://enterpriseproductregistration.nvidia.com/?LicType=Eval&ProductFamily=NVAIE_DGX_SPARK) ### DGX Spark AI Software DGX Spark includes the NVIDIA AI software stack preinstalled with support for the NVIDIA AI software ecosystem to get AI projects up and running quickly. [Learn More](https://developer.nvidia.com/topics/ai/dgx-spark) **Resources** ## Explore NVIDIA DGX Spark 1. Blogs 2. Videos 3. Community March 16, 2026 ### Scaling Autonomous AI Agents and Workloads with NVIDIA DGX Spark Learn why NVIDIA DGX Spark is an ideal desktop platform for autonomous AI. [Read Blog](https://developer.nvidia.com/blog/scaling-autonomous-ai-agents-and-workloads-with-nvidia-dgx-spark/) February 12, 2026 ### NVIDIA DGX Spark Powers Big Projects in Higher Education The desktop supercomputer is sparking innovation across research fields, from campus labs to the South Pole. [Read Blog](https://blogs.nvidia.com/blog/dgx-spark-higher-education/) January 5, 2026 ### NVIDIA DGX Spark Gains 2x Performance and Open AI Model Support The latest DGX Spark software release delivers performance uplift across models and workflows. [Read Blog](https://blogs.nvidia.com/blog/dgx-spark-and-station-open-source-frontier-models/) October 13, 2025 ### NVIDIA DGX Spark Arrives for World’s AI Developers NVIDIA and its partners are shipping DGX Spark, the world’s smallest AI supercomputer, delivering NVIDIA's AI stack in a compact desktop form factor. [Read Press Release](https://nvidianews.nvidia.com/news/nvidia-dgx-spark-arrives-for-worlds-ai-developers) February 20, 2026 ### Meet the AI Photo Booth: DGX Spark + Reachy Mini at CES At CES 2026, the NVIDIA DGX Spark powers the Reachy Mini robot in an interactive photo booth with Pollen Robotics (Hugging Face). [Watch Video](https://www.youtube.com/watch?v=e1UTUZ8lfTs) January 5, 2026 ### Build Your Own AI Assistant With Hugging Face on NVIDIA DGX Spark NVIDIA and Hugging Face are bringing AI agents to life. [Watch Video](https://www.youtube.com/watch?v=dMpLCGvE2A0) October 15, 2025 ### Sparking Something Big: NVIDIA DGX Spark Has Arrived It’s here! Go behind the scenes and see the delivery of NVIDIA DGX Sparks to top developers, researchers, creative studios, and roboticists. [Watch Video](https://www.youtube.com/watch?v=AvgZscNZzYw) ### NVIDIA DGX Spark Livestreams Watch live developer deep dives on the new NVIDIA DGX Spark desktop AI supercomputer. [See the Playlist](https://www.youtube.com/playlist?list=PL5B692fm6--szoycV51n_dI29J8wGP9_-) ### DGX Spark/GB10 User Forum Join the DGX Spark/GB10 user community. Learn from each other, get support from experts, and be inspired to create the next great AI. [Join the Developer Forum](https://forums.developer.nvidia.com/c/accelerated-computing/dgx-spark-gb10/719) ### NVIDIA Inception Evolve your startup with go-to-market support, technical expertise, training, and funding opportunities. [Apply to Inception](https://www.nvidia.com/en-us/startups/?nvid=nv-int-bnr-979140-vt08#cid=in01_nv-int-bnr_en-us) ## Partners ## NVIDIA DGX Spark Get DGX Spark through our authorized channel and retail partners. ## NVIDIA GB10 Superchip Powered Systems Discover NVIDIA GB10 Grace Blackwell Superchip–powered systems from our preferred OEM partners. ## NVIDIA DGX Spark Specifications | | | | --- | --- | | Architecture | NVIDIA Grace Blackwell | | GPU | Blackwell Architecture | | CPU | 20-core Arm, 10 Cortex-X925 + 10 Cortex-A725 Arm | | CUDA Cores | Blackwell Generation | | Tensor Cores | 5th Generation | | RT Cores | 4th Generation | | Tensor Performance1 | Up to 1 PFLOP FP4 | | System Memory | 128 GB LPDDR5x, coherent unified system memory | | Memory Interface | 256-bit | | Memory Bandwidth | 273 GB/s | | Storage | 4 TB NVME.M2 with self-encryption | | USB | 4x USB TypeC | | Ethernet | 1x RJ-45 connector 10 GbE | | NIC | ConnectX-7 NIC @ 200 Gbps | | Wi-Fi | WiFi 7 | | Bluetooth | BT 5.4 | | Audio-output | HDMI multichannel audio output | | Power Supply | 240 Watts | | GB10 TDP2 | 140 W | | Display Connectors | 1x HDMI 2.1a, Up to 3x DisplayPort over USB-C (DP Alt Mode) | | NVENC | NVDEC | 1x | 1x | | OS | NVIDIA DGX™ OS | | System Dimensions | 150 mm L x 150 mm W x 50.5 mm H | | System Weight | 1.2 kg | 1 Theoretical FP4 TOPS using the sparsity feature. 2 TDP: Thermal Design Power of the GB10 chip, including CPU and GPU **Declared noise emission values in accordance with ECMA-109, June 2025** | | | | | --- | --- | --- | | **Product name** | NVIDIA DGX Spark 940-54242-0000 | | | **Product description** | NVIDIA GB10 Grace Blackwell Superchip 20-core Arm: 10 Cortex-X925 + 10 Cortex-A725 Arm, 128 GB LPDDR5x 4 TB NVME.M2 | | | **Quantities declared** | Operating Modedd) | Idle | | **Declared mean A-weighted sound power level a), LWA,m (dB)** | 35 | 19 | | **Declared mean A-weighted emission sound pressure level b), LpA,m (dB)** | 29 | 13 | | **Statistical adder for verification c), Kv (dB)** | 3 | 3 | a) The declared mean A-weighted sound power level, Lwa,m is computed as the arithmetic average of the measured A-weighted sound power levels. b) The declared mean A-weighted emission sound pressure level, LpA,m is computed as the arithmetic average of the defined Operator position (C.4b) c) The statistical adder for verification, KV is a factor to be added to the declared mean A-weighted sound power level, LWA,m, such that there will be a 95 % probability of acceptance, when using the verification procedures of ECMA-109, if no more than 6,5 % of the equipment in batch, has A-weighted sound power levels greater than (LWA,m + Kv). d) Operating mode, max GPU stress in 25°C ambient. Note 1 The quantity, LWA,c (formerly called LWAd) can be computed from the sum of LWA,m and KV. Note 2 All measurements made in conformance with ECMA-74 and declared with ECMA-109 Note 3 dB is the abbreviation for decibels [View Datasheet](https://dam-cdn.nvd.orangelogic.com/AssetLink/3lhuar5pc56pn7se4c7ahsskw20xw8h5.pdf) ## Sign up To Be Notified on Availability Welcome back. Not you? Log Out Welcome back. Not you? Clear form