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 NVIDIA Announces DGX Spark and DGX Station Personal AI Computers

Powered by NVIDIA Grace Blackwell, Desktop Supercomputers Place Accelerated AI in the Hands of Developers, Researchers and Data Scientists; Systems Coming From Leading Computer Makers Including ASUS, Dell Technologies, HP and Lenovo

GTC—The NVIDIA Grace Blackwell platform-based NVIDIA DGXTM personal AI supercomputers were unveiled today by NVIDIA.

DGX Spark — formerly Project DIGITS — and DGX Station™, a new high-performance NVIDIA Grace Blackwell desktop supercomputer powered by the NVIDIA Blackwell Ultra platform, enable AI developers, researchers, data scientists and students to prototype, fine-tune and inference large models on desktops.  Users can run these models locally or deploy them on NVIDIA DGX Cloud or any other accelerated cloud or data center infrastructure.

The Grace Blackwell architecture's power, which was previously only available in the data center, is now available on the desktop with DGX Station and Spark. Global system builders to develop DGX Spark and DGX Station include ASUS, Dell, HP Inc. and Lenovo.

“AI has transformed every layer of the computing stack.  It stands to reason a new class of computers would emerge — designed for AI-native developers and to run AI-native applications,” said Jensen Huang, founder and CEO of NVIDIA.  "AI can span from desktop and edge applications to cloud services with these new DGX personal AI computers."

Developing New Ideas Using DGX Spark

DGX Spark is the world’s smallest AI supercomputer, empowering millions of researchers, data scientists, robotics developers and students to push the boundaries of generative and physical AI with massive performance and capabilities.

At the heart of DGX Spark is the NVIDIA GB10 Grace Blackwell Superchip, optimized for a desktop form factor.  GB10 features a powerful NVIDIA Blackwell GPU with fifth-generation Tensor Cores and FP4 support, delivering up to 1,000 trillion operations per second of AI compute for fine-tuning and inference with the latest AI reasoning models, including the NVIDIA Cosmos Reason world foundation model and NVIDIA GR00T N1 robot foundation model.

The GB10 Superchip uses NVIDIA NVLink™-C2C interconnect technology to deliver a CPU+GPU-coherent memory model with 5x the bandwidth of fifth-generation PCIe.  This lets the superchip access data between a GPU and CPU to optimize performance for memory-intensive AI developer workloads.

NVIDIA’s full-stack AI platform enables DGX Spark users to seamlessly move their models from their desktops to DGX Cloud or any accelerated cloud or data center infrastructure — with virtually no code changes — making it easier than ever to prototype, fine-tune and iterate on their workflows.

Full Speed Ahead With DGX Station

NVIDIA DGX Station brings data-center-level performance to desktops for AI development.  The NVIDIA DGX Station is the first desktop system to use the NVIDIA GB300 Grace Blackwell Ultra Desktop Superchip. It has a massive 784GB of coherent memory space to speed up large-scale training and inferencing tasks. Best-in-class system communication and performance are provided by the GB300 Desktop Superchip's NVIDIA Blackwell Ultra GPU, which is connected via NVLink-C2C to a high-performance NVIDIA GraceTM CPU and features Tensor Cores of the most recent generation and FP4 precision.

DGX Station also features the NVIDIA ConnectX®-8 SuperNIC, optimized to supercharge hyperscale AI computing workloads.  The ConnectX-8 SuperNIC enables high-speed connectivity of multiple DGX Stations for even larger workloads and network-accelerated data transfers for AI workloads thanks to its support for networking at up to 800Gb/s.

Combining these state-of-the-art DGX Station capabilities with the NVIDIA CUDA-X™ AI platform, teams can achieve exceptional desktop AI development performance.

In addition, users gain access to NVIDIA NIM™ microservices with the NVIDIA AI Enterprise software platform, which offers highly optimized, easy-to-deploy inference microservices backed by enterprise support.

Availability

Reservations for DGX Spark systems open today.

DGX Station is expected to be available from manufacturing partners like ASUS, BOXX, Dell, HP, Lambda and Supermicro later this year.

Watch the NVIDIA GTC keynote to learn more, and you can register for sessions at the show, which runs through March 21, with NVIDIA and industry leaders.

About NVIDIA

NVIDIA (NASDAQ: NVDA) is the world leader in accelerated computing.

By putting the NVIDIA Grace Blackwell Superchip on every desk and at the fingertips of every AI developer, NVIDIA empowering millions of people to shape the future of AI; and with new DGX AI supercomputers, software providers, government agencies, startups, and researchers being able to prototype, fine-tune, and run large AI models — transforming the way they work and create — these statements constitute forward-looking statements that are subject to risks and uncertainties that could cause results to be materially different from expectations Important factors that could cause actual results to differ materially include: global economic conditions; our reliance on third parties to manufacture, assemble, package and test our products; the impact of technological development and competition; development of new products and technologies or enhancements to our existing product and technologies; market acceptance of our products or our partners' products; design, manufacturing or software defects; changes in consumer preferences or demands; changes in industry standards and interfaces; unexpected loss of performance of our products or technologies when integrated into systems; as well as other factors detailed from time to time in the most recent reports NVIDIA files with the Securities and Exchange Commission, or SEC, including, but not limited to, its annual report on Form 10-K and quarterly reports on Form 10-Q.  Copies of reports filed with the SEC are posted on the company's website and are available from NVIDIA without charge.  NVIDIA disclaims any obligation to update these forward-looking statements to reflect future events or circumstances, except as required by law. These forward-looking statements speak only as of the date hereof and are not guarantees of future performance.

© 2025 NVIDIA Corporation.  All permissions reserved. NVIDIA, the NVIDIA logo, Connect-X, CUDA-X, DGX, DGX Station, NVIDIA Grace, NVIDIA NIM and NVLink are trademarks and/or registered trademarks of NVIDIA Corporation in the U.S. and/or other countries.  Other names of businesses and products might be trademarks of the businesses with which they are associated. Features, pricing, availability, and specifications are subject to change without notice.