NVIDIA DGX Spark

NVIDIA DGX Spark™ brings datacenter-class AI development to your desktop in a compact system capable of fine-tuning and running inference on models with up to 200 billion parameters. Powered by NVIDIA Grace Blackwell architecture, it delivers exceptional AI performance in a compact form factor without requiring dedicated datacenter infrastructure.

DGX Spark Highlights:

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DGX Spark

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Displaying 2 of 2 systems
SFF

ASUS
Ascent GX10

 

Supports:
NVIDIA Grace Blackwell
128 GB LPDDR5X
$6,784.00
Configure
SFF

Gigabyte AI TOP ATOM
DGX Spark

 

Supports:
NVIDIA Grace Blackwell
128 GB LPDDR5X
$9,300.00
Configure

Why Buy from Thinkmate?

We make it simple. Thinkmate combines expert guidance, custom configurations, and responsive support to help you choose and deploy the right solution.

Expert IncludedSM

Expert guidance before purchase.

Custom Built

Configured for your workload/environment.

Tested & Validated

Built, tested, and validated in-house.

3-year Warranty

Comprehensive coverage + U.S. support.

Building a larger solution? Thinkmate can also provide servers, storage, networking, and rack integration services.

Typical DGX Spark Use Cases

Use Case Description
AI Model Development Develop, test, and fine-tune foundation models locally.
LLM Inference Run large language models on a desktop system.
AI Research Prototype and evaluate new AI models and workflows.
Data Science Accelerate model development, experimentation, and analytics.
Software Development Build and validate AI-enabled applications before deployment.
Edge AI Development Develop AI applications for edge and embedded environments.

Common Questions About DGX Spark

NVIDIA DGX Spark is a desktop AI system designed for developers, researchers, and data scientists who need to prototype, fine-tune, and run large AI models locally before scaling to larger infrastructure.

Yes. DGX Spark supports AI inference and fine-tuning for models up to 200 billion parameters using its 128 GB unified memory architecture. Multiple systems can be connected to support even larger models.

DGX Spark is purpose-built for AI development using NVIDIA's Grace Blackwell architecture. Organizations focused primarily on AI model development and inference may benefit from DGX Spark, while GPU workstations remain an excellent choice for users running a broader mix of engineering, rendering, visualization, and AI workloads.

Yes. Two DGX Spark systems can be connected using NVIDIA ConnectX-7 networking to support larger AI workloads and models exceeding the capacity of a single system.

No. DGX Spark is designed to bring AI development closer to developers and researchers, allowing them to prototype and validate models locally before deploying to larger AI clusters or production environments.

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We offer rapid GSA scheduling for custom configurations. If you have a specific hardware requirement, we can have your configuration posted on the GSA Schedule within 2-4 weeks.

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