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    NVIDIA technology is power powering solutions for every industry

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    Build and run agentic AI workflows and microservices

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    NVIDIA DGX Spark

    The power of NVIDIA Grace Blackwell on your desk.

    Where to Buy

    Find your best purchase option on the NVIDIA Marketplace.

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    Datasheet | Specifications | Forum

    Previously Project DIGITS

    • Overview
    • Features
    • Workloads
    • Software
    • Partners
    • Overview
    • Overview
    • Features
    • Workloads
    • Software
    • Partners
    • Overview
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    Overview

    Spark Something Big

    Powered 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.

    1 Theoretical FP4 TOPS using the sparsity feature. 

    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

    DGX Spark and DGX Station with NVIDIA NemoClaw for Autonomous Agents

    The ultimate platform for locally developing and deploying secure, supercomputing-intelligent, always-on AI agents.

    Read Blog

     title=

    Run Autonomous Agents More Safely

    NVIDIA NemoClaw is an open source stack that adds privacy and security controls to OpenClaw. With one command, anyone can run always-on, self-evolving agents anywhere.

    Learn More About NemoClaw

    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

    Getting Started With Your DGX Spark

    Here are some resources that can help you get up and running fast.

    Quick Start Guide  |  User Manual  |  Unboxing Video  |  FAQ  |  Support


    Features

    NVIDIA GPU, CPU, Networking, and AI Software Technologies

    NVIDIA GB10 Superchip

    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

    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.

    ConnectX Networking

    NVIDIA ConnectX Networking

    High-performance NVIDIA ConnectX™ networking enables the connection of two NVIDIA DGX Spark systems to work with AI models of up to 405 billion parameters.

    NVIDIA AI Software Stack

    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 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.

    Prototyping

    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 128GB of unified system memory, fine-tune models up to 70 billion parameters to customize AI models and solutions for specific needs and use cases.

    Fine-Tuning

    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 128GB of system memory, accelerate inference of state-of-the-art AI models to test, validate and deploy from your NVIDIA DGX Spark.

    Inference

    Data Science

    High-performance data science at your desk.

    NVIDIA DGX Spark’s combination of 128GB of unified memory and 1 petaFLOP of parallel throughput maximizes performance of large, computationally complex data analytics and machine learning workflows at your desk.

    Data Science

    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, Metropolis, and Holoscan, enabling developers to leverage the power of NVIDIA DGX Spark to develop edge applications quickly.

    Edge Applications
     title=

    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.

    Learn More
    Get Started
     title=

    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

    Resources

    Explore NVIDIA DGX Spark

    1. Blogs
    2. Videos
    3. Community
    Scaling Autonomous AI Agents and Workloads with NVIDIA DGX Spark
    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
    People unpacking their 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
    NVIDIA DGX Spark expanded.
    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
    NVIDIA DGX Spark next to a laptop.
    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
    Reachy Mini Robot, powered by DGX Spark
    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
    NVIDIA Engineer programming the Reachy Mini Robot
    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
    NVIDIA DGX Spark being delivered.
    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
    NVIDIA DGX Spark on desk

    NVIDIA DGX Spark Livestreams

    Watch live developer deep dives on the new NVIDIA DGX Spark desktop AI supercomputer.

    See the Playlist
    NVIDIA DGX Spark in study setting

    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
    Artistic rendering depicting the Inception ecosystem.

    NVIDIA Inception

    Evolve your startup with go-to-market support, technical expertise, training, and funding opportunities.

    Apply to Inception

    Partners

    NVIDIA DGX Spark

    Get DGX Spark through our authorized channel and retail partners.

    Amazon
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    NVIDIA GB10 Superchip Powered Systems

    Discover NVIDIA GB10 Grace Blackwell Superchip–powered systems from our preferred OEM partners.

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    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 W
    GB10 TDP2 140 W
    Display Connectors 1x HDMI 2.1a
    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 emmison sound pressure level, LpA,m is computed as the arithmetic average of the defined Operator postiion (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 decibles

    View Datasheet

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