NVIDIA DGX Spark

NVIDIA DGX Spark Personal AI Supercomputer

Accelerate All AI Workloads

A Grace Blackwell AI Supercomputer on Your Desk

NVIDIA DGX Spark Personal AI Supercomputer delivers a petaflop of AI performance from a power-efficient, compact form factor. With the preinstalled NVIDIA AI software stack, 1000 TOPS of performance, and 128GB of memory, developers can prototype, fine-tune, and inference large AI models of up to 200 billion parameters locally and seamlessly deploy to the data centre or cloud.

Desktop AI Compute Demands

200B Parameter Models on Your Desk

Work With Large-Parameter AI Models

The increasing size and complexity of generative AI models is making development efforts on local systems challenging. Prototyping, tuning, and inferencing large models locally requires large amounts of memory and significant compute performance. As enterprises, software providers, government agencies, startups, and researchers staff up AI efforts, the need for AI compute resources continues to grow.

NVIDIA DGX Spark is part of a new class of computers designed from the ground up to build and run AI. Powered by the NVIDIA GB10 Grace Blackwell Superchip and based on the NVIDIA Grace Blackwell architecture, NVIDIA DGX Spark delivers up to 1000 TOPS of AI performance to power large AI workloads.

NVIDIA GB10 Superchip

Experience up to 1000 AI TOPS of AI performance at FP4 precision with the NVIDIA Grace Blackwell architecture.

128GB Of Memory

Run AI development and testing workloads with AI models up to 200 billion parameters at your desktop with large, unified system memory.

NVIDIA ConnectX

High-performance NVIDIA Connect-X networking enables connecting two NVIDIA DGX Spark systems together to work with AI models up to 405 billion parameters.

NVIDIA AI Software Stack

Use a full-stack solution for generative AI workloads, including tools, frameworks, libraries, and pretrained models.

Upgrade Easily

Connect Two DGX Systems

ConnectX-7 Smart NIC

Upgrade easily by Connecting two DGX Spark systems together via ConnectX-7 and LinkX cable to work with even larger models of up to 405 billion parameters utilising the full 256GB of unified memory for better than multi-GPU workstation performance*

*Assuming 4-bit precision and workloads specific to high memory usage models. See comparison table for more information.

NVIDIA Frameworks

Develop Locally, Deploy Anywhere

Workflow, Models and Tools

DGX Spark comes with all the software AI developers need to get up running AI workloads right away. Users can install their favourite tools, and frameworks or take advantage of the latest NVIDIA workflows, models, microservices and tools such as NVIDIA NIM, AI Blueprints or AI Workbench.

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