NVIDIA DGX Spark

Previously Project DIGITS

A Grace Blackwell AI supercomputer on your desk.

Where to Buy

Find the best purchase option for you on the NVIDIA Marketplace.

Overview

NVIDIA DGX Spark

Powered by the NVIDIA GB10 Grace Blackwell Superchip, NVIDIA DGX Spark delivers 1000 AI TOPS of AI performance in a power-efficient, compact form factor. With the NVIDIA AI software stack preinstalled and 128GB of memory, developers can prototype, fine-tune, and inference the latest generation of reasoning AI models from DeepSeek, Meta, Google, and others with up to 200 billion parameters locally, and seamlessly deploy to the data center or cloud.

NVIDIA Announces Blackwell DGX Personal AI Computers

NVIDIA DGX Station and NVIDIA DGX Spark, powered by NVIDIA Grace Blackwell, place accelerated AI in the hands of developers, researchers and data scientists.

Features

NVIDIA GPU, CPU, Networking, and AI Software Technologies

NVIDIA GB10 Superchip

NVIDIA GB10 Superchip

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

128 GB of Coherent Unified System Memory

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 large, unified system memory.

ConnectX Networking

NVIDIA ConnectX Networking

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

NVIDIA AI Software Stack

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

NVIDIA Project DIGITS

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, easily migrate work 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 1,000 TOPS 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

Accelerate end-to-end data science workflows with NVIDIA RAPIDS.

From data preparation to model training, inference, and deployment, NVIDIA RAPIDS on NVIDIA DGX Spark simplifies the development process with Zero-code-change accelerators and familiar APIs to quickly accelerate existing workloads or rapidly develop specific use-case solutions, and easily scale out to data center or cloud.

Data Science

Edge Applications

Develop edge applications with NVIDIA AI frameworks, including Isaac, Metropolis, and many others.

DGX Spark provides an excellent platform for developing robotics, smart cities, and computer vision solutions. NVIDIA frameworks, including 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

Specifications

NVIDIA DGX Spark

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 1000 AI TOPS
System Memory 128 GB LPDDR5x, unified system memory
Memory Interface 256-bit
Memory Bandwidth 273 GB/s
Storage 1 or 4 TB NVME.M2 with self-encryption
USB 4x USB 4 TypeC (up to 40Gb/s)
Ethernet 1x RJ-45 connector
10 GbE
NIC ConnectX-7 Smart NIC
Wi-Fi WiFi 7
Bluetooth BT 5.3
Audio-output HDMI multichannel audio output
Power Consumption 170W
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

* preliminary specifications, subject to change

1 Theoretical FP4 TOPS using the sparsity feature.

Get Started

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Get in Touch

Talk to an NVIDIA product expert to discover how NVIDIA DGX Spark can transform your AI workflows, from initial testing to full-scale production.

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NVIDIA DGX Spark Specs

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 1000 AI TOPS
System Memory 128 GB LPDDR5x, unified system memory
Memory Interface 256-bit
Memory Bandwidth 273 GB/s
Storage 1 or 4 TB NVME.M2 with self-encryption
USB 4x USB 4 TypeC (up to 40Gb/s)
Ethernet 1x RJ-45 connector
10 GbE
NIC ConnectX-7 Smart NIC
Wi-Fi WiFi 7
Bluetooth BT 5.3
Audio-output HDMI multichannel audio output
Power Consumption 170W
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

* preliminary specifications, subject to change

1 Theoretical FP4 TOPS using the sparsity feature.

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