

Powered by the NVIDIA GB10 Grace Blackwell Superchip, NVIDIA DGX Spark™ is a complete platform for local autonomous agents. Large local memory, powerful AI compute and the NVIDIA AI software stack enable agents and large models to run locally, reducing the need for cloud-based token generation resources. With a compact, power-efficient design, DGX Spark is built to run always-on agent workloads—right from your desktop.

Up to
Grace CPU
Up to
FP4 AI Performance
Up to
Unified Memory
Experience up to 1 petaFLOP of AI performance at FP4 precision with the NVIDIA Grace Blackwell architecture.
Run AI development and testing workloads with state-of-the-art AI models at your desktop with a large, unified system memory. Available in 64 GB* or 128 GB memory configuration options.
High-performance NVIDIA ConnectX™ networking enables up to four DGX Spark systems to work together on larger AI models, deliver faster inference, and run multi-agent workloads.
Utilize a full-stack solution for generative AI workloads, encompassing NVIDIA tools, frameworks, libraries, and pre-trained models, including NVIDIA NIM™.
Connect to your DGX Spark from your laptop or desktop and monitor system status, launch Cursor, VS Code, or AI Workbench remotely, and configure up to four devices into a high-speed multi-node cluster. Install the latest software updates to get the most out of your system.
*64 GB memory configuration is available exclusively through participating OEM partners.
Delivering the power of Grace Blackwell in a desktop-friendly size, DGX Spark is ideal for AI developer, researcher, and data scientist workloads.
Run frontier-class models on desktop clusters.
64 GB*
Up to 100B parameters
128 GB
Up to 200B parameters
128 GB
Up to 200B parameters
256 GB
Up to 400B parameters
512 GB
Up to 700B parameters