With the NVIDIA AI software stack, NVIDIA DGX Spark provides a platform for developers to create, test, and validate AI models, as well as 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.
NVIDIA DGX Spark
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 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.
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.
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.
Fine-Tuning
Fine-tune AI models up to 70 billion parameters.
Inference
Test, validate, and inference with AI models up to 200 billion parameters.
Data Science
High-performance data science at your desk.
Edge Applications
Develop edge applications with NVIDIA AI frameworks, including Isaac™, Metropolis, and many others.
NVIDIA AI Software
NVIDIA AI 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.
