The leading chip manufacturer, NVIDIA has announced its latest innovation, introducing DGX Spark and DGX Station, two personal AI supercomputers specifically built to provide extra hands to developers, researchers, and data scientists.
The DGX Spark and DGX Station supercomputers are powered by the NVIDIA Grace Blackwell platforms. It can bring data center-level AI capabilities to the desktop, which allows users to prototype, fine-tune, and deploy large models locally or on accelerated cloud infrastructure.
“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. “With these new DGX personal AI computers, AI can span from cloud services to desktop and edge applications.”
DGX Spark & DGX Station: NVIDIA’s Two Personal AI Computers
DGX Spark, formerly known as Project DIGITS, is the world’s smallest AI supercomputer. It will help researchers and developers to push the limits of generative and physical AI. At its core lies the NVIDIA GB10 Grace Blackwell Superchip, It features a powerful GPU with fifth-generation Tensor Cores and FP4 support.
This setup can deliver an incredible 1,000 trillion operations per second. By leveraging NVIDIA NVLink-C2C technology, the GB10 Superchip offers 5X the bandwidth of PCIe, which ensures rapid data transfer between CPU and GPU for optimized performance.
DGX Station is also capable of delivering unmatched performance with the NVIDIA GB300 Grace Blackwell Ultra Desktop Superchip. It features a massive 784GB of coherent memory and an advanced Blackwell Ultra GPU with the latest Tensor Cores and FP4 precision.
This powerful configuration allows developers to handle large-scale AI training and inferencing directly on their desktops. DGX station also incorporates the NVIDIA ConnectX-8 SuperNIC, which supports up to 800Gb/s networking.
Source: https://nvidianews.nvidia.com/news/nvidia-announces-dgx-spark-and-dgx-station-personal-ai-computers
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