A Grace Blackwell AI supercomputer 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 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.
Getting Started With Your DGX Spark
Here are some resources that can help you get up and running fast.
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.
Features
NVIDIA GPU, CPU, Networking, and AI Software Technologies
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.
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 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.
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.
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, 128GB LPDDR5x 4 TB NVME.M2 |
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| 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