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Personal AI Supercomputer Powered by Blackwell | NVIDIA DGX Spark
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NVIDIA DGX Spark

Designed to build and run autonomous agents.

NVIDIA DGX Spark 64 GB Coming Soon

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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.

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.

Coherent Unified System Memory

Run AI development and testing workloads with state-of-the-art AI models at your desktop with a large, unified system memory. Available in 64 GB* or 128 GB memory configuration options.

NVIDIA ConnectX Networking

High-performance NVIDIA ConnectX networking enables the connection of up to four NVIDIA DGX Spark systems to work with larger AI models, get faster inference, and run multi-agent workloads.

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.

*64 GB memory configuration is available exclusively through participating OEM partners.

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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 is an open source reference stack that adds security and privacy guardrails to OpenClaw using OpenShell.

Learn More About OpenShell

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

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.

Agentic AI

Build, run, and manage always-on AI agents from your desk.

NVIDIA DGX Spark provides a complete local platform for developing, testing, and deploying autonomous AI agents. With the NVIDIA AI software stack preinstalledincluding tools for agent orchestration, evaluation, and secure local deploymentdevelopers can build agents that run persistently and privately, without cloud dependency. From single-agent prototypes to multi-agent workflows, DGX Spark supports the full agentic development cycle.

Person prototyping on a laptop. [Person prototyping on a laptop.]

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.

Person prototyping on a laptop. [Person prototyping on a laptop.]

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.

Image of interconnected AI models. [Image of interconnected AI models.]

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.

Image of code being validated. [Image of code being validated.]

Data Science

High-performance data science at your desk.

NVIDIA DGX Sparks 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.

Image of NYC overlaying trip distance and tip data. [Image of NYC overlaying trip distance and tip data.]

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.

Image of a robot stacking blocks. [Image of a robot stacking blocks.]

Scale to Larger Models, Faster Inference, and Agentic Workloads

Run frontier-class models on desktop clusters

1x DGX Spark

64 GB*
Up to 100B parameters

1x DGX Spark

128 GB
Up to 200B parameters

2x DGX Spark

128 GB
Up to 200B parameters

2x DGX Spark

256 GB
Up to 400B parameters

4x DGX Spark

512 GB
Up to 700B parameters

*64 GB memory configuration is available exclusively through participating OEM partners.

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NVIDIA AI EnterpriseDGX 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
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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

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
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
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
October 13, 2025

NVIDIA DGX Spark Arrives for Worlds AI Developers

NVIDIA and its partners are shipping DGX Spark, the worlds smallest AI supercomputer, delivering NVIDIA's AI stack in a compact desktop form factor.

Read Press Release
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
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
October 15, 2025

Sparking Something Big: NVIDIA DGX Spark Has Arrived

Its 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 Livestreams

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

See the Playlist

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

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.

NVIDIA GB10 Superchip Powered Systems

Discover NVIDIA GB10 Grace Blackwell Superchippowered systems from our preferred OEM partners.
See All Buying Options

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 Performance Up to 1 PFLOP FP4
System Memory 64 GB LPDDR5X* or 128 GB LPDDR5x, coherent unified system memory
Memory Interface 256-bit
Memory Bandwidth 273 GB/s
Storage Up to 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 TDP1 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

*64 GB memory configuration is available exclusively through participating OEM partners.

1 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
Up to 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 25C 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

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