The power of NVIDIA Grace Blackwell on your desk.
Where to Buy
Find your best purchase option on the NVIDIA Marketplace.
Previously Project DIGITS
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.
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.
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.
Getting Started With Your DGX Spark
Here are some resources that can help you get up and running fast.
Features
NVIDIA GPU, CPU, Networking, and AI Software Technologies
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.
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.
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.
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.
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.
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.
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.
Explore NVIDIA DGX Spark
-
Blogs
-
Videos
-
Community
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
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