NVIDIA DGX Spark

A Grace Blackwell AI supercomputer on your desk.

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Previously Project DIGITS

Overview

NVIDIA DGX Spark

Powered by the NVIDIA GB10 Grace Blackwell Superchip, NVIDIA DGX™ Spark delivers one petaFLOP1 of AI performance in a power-efficient, compact form factor. With the NVIDIA AI software stack preinstalled and 128 GB of memory, developers can prototype, fine-tune, and inference the latest generation of reasoning AI models from DeepSeek, Meta, NVIDIA, Google, Qwen and others with up to 200 billion parameters locally.

1 Theoretical FP4 TOPS using the sparsity feature.

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

The Box Has Landed. DGX Spark Begins Global Rollout, Delivering Petaflop AI to the Desktop

It’s coming — by drone, by robot, even by NVIDIA founder and CEO Jensen Huang; we’re tracking the first global deliveries of the NVIDIA DGX Spark, the world’s smallest AI supercomputer.

Read Live Blog

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

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.

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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.

Check out the Playbooks

Video

NVIDIA DGX Spark Has Arrived

Join NVIDIA in delivering the first DGX Spark units to AI innovators and pioneers.

See how NVIDIA DGX Spark is sparking excitement across the AI community. Watch researchers, startups, and innovators unbox the power to prototype, fine-tune, and deploy large AI projects right from their desktops.

Watch Video

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 two NVIDIA DGX Spark systems to work with AI models of up to 405 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 AI Workloads

Delivering the power of an AI supercomputer 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 the platform for developers to create, test, and validate AI models and AI-augmented applications and solutions. For final tuning or deployment, conveniently evaluate work for eventual migration to 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 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. These frameworks and tools enable developers to take advantage of the power of NVIDIA DGX Spark to quickly develop edge applications.

Edge Applications

NVIDIA DGX Spark Software

NVIDIA DGX Spark software stack accelerates AI and deep learning workloads while streamlining prototyping and development. It provides a scalable foundation for AI initiatives, enabling developers to harness NVIDIA’s powerful infrastructure to drive innovation and achieve transformative results.

Learn More

Partners

NVIDIA DGX Spark Founder's Edition

Get DGX Spark Founder's Edition through our authorized channel and retail partners.

Partners

NVIDIA GB10 Superchip Powered Systems From OEM Partners

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 1 PFLOP
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,
128GB 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

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