NVIDIA Launches AI-First DGX Personal Computing Systems With Global Computer Makers

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NVIDIA
NVIDIA

Acer, ASUS, Dell Technologies, GIGABYTE, HP, Lenovo and MSI Build NVIDIA DGX Spark, DGX Station Personal Systems for AI Developers, Researchers and Data Scientists

DGX Spark / DGX Station

NVIDIA DGX Spark and DGX Station systems enable developers to prototype, fine-tune and run inference on models from the desktop to the data center.
NVIDIA DGX Spark and DGX Station systems enable developers to prototype, fine-tune and run inference on models from the desktop to the data center.

TAIPEI, Taiwan, May 18, 2025 (GLOBE NEWSWIRE) -- COMPUTEX -- NVIDIA today announced that Taiwan’s leading system manufacturers are set to build NVIDIA DGX Spark and DGX Station systems.

Growing partnerships with Acer, GIGABYTE and MSI will extend the availability of DGX Spark and DGX Station personal AI supercomputers — empowering a global ecosystem of developers, data scientists and researchers with unprecedented performance and efficiency.

Enterprises, software providers, government agencies, startups and research institutions need robust systems that can deliver the performance and capabilities of an AI server in a desktop form factor without compromising data size, proprietary model privacy or the speed of scalability.

The rise of agentic AI systems capable of autonomous decision-making and task execution amplifies these demands. Powered by the NVIDIA Grace Blackwell platform, DGX Spark and DGX Station will enable developers to prototype, fine-tune and inference models from the desktop to the data center.

“AI has revolutionized every layer of the computing stack — from silicon to software,” said Jensen Huang, founder and CEO of NVIDIA. “Direct descendants of the DGX-1 system that ignited the AI revolution, DGX Spark and DGX Station are created from the ground up to power the next generation of AI research and development.”

DGX Spark Fuels Innovation
DGX Spark is equipped with the NVIDIA GB10 Grace Blackwell Superchip and fifth-generation Tensor Cores. It delivers up to 1 petaflop of AI compute and 128GB of unified memory, and enables seamless exporting of models to NVIDIA DGX™ Cloud or any accelerated cloud or data center infrastructure.

Delivering powerful performance and capabilities in a compact package, DGX Spark lets developers, researchers, data scientists and students push the boundaries of generative AI and accelerate workloads across industries.

DGX Station Advances AI Innovation
Built for the most demanding AI workloads, DGX Station features the NVIDIA GB300 Grace Blackwell Ultra Desktop Superchip, which offers up to 20 petaflops of AI performance and 784GB of unified system memory. The system also includes the NVIDIA ConnectX®-8 SuperNIC, supporting networking speeds of up to 800Gb/s for high-speed connectivity and multi-station scaling.

DGX Station can serve as an individual desktop for one user running advanced AI models using local data, or as an on-demand, centralized compute node for multiple users. The system supports NVIDIA Multi-Instance GPU technology to partition into as many as seven instances — each with its own high-bandwidth memory, cache and compute cores — serving as a personal cloud for data science and AI development teams.