DGX Spark and DGX Station bring Grace Blackwell architecture from the data center to the desktop.
DGX Spark, formerly Project DIGITS, and DGX Station, a new NVIDIA Grace Blackwell desktop supercomputer powered by the NVIDIA Blackwell Ultra platform, enable AI developers, researchers, data scientists, and students to run, refine, and test large models on desktops. Users can run these models locally or deploy them on NVIDIA DGX Cloud or other accelerated cloud or data center infrastructure.
DGX Spark and DGX Station bring the power of the Grace Blackwell architecture, previously only available in the data center, to the desktop. Global system builders to develop DGX Spark and DGX Station include ASUS, Dell, HP Inc. and Lenovo.
Igniting innovation with DGX Spark
DGX Spark is a compact AI supercomputer that provides researchers, data scientists, robotics developers, and students with access to high-performance computing for advancing research in generative and physical AI.
DGX Spark is powered by the NVIDIA GB10 Grace Blackwell Superchip, optimized for a desktop form factor. GB10 includes an NVIDIA Blackwell GPU with fifth-generation Tensor Cores and FP4 support, capable of up to 1,000 TOPS for AI processing. It supports fine-tuning and inference with AI 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 allows DGX Spark users to transfer their models from desktops to DGX Cloud or any accelerated cloud or data center infrastructure with minimal code adjustments, simplifying the process of developing and refining their workflows.
Full speed ahead with DGX Station
NVIDIA DGX Station brings data-center-level performance to desktops for AI development. The first desktop system to be built with the NVIDIA GB300 Grace Blackwell Ultra Desktop Superchip, DGX Station features a 784GB of coherent memory space to accelerate large-scale training and inferencing workloads. The GB300 Desktop Superchip features an NVIDIA Blackwell Ultra GPU with updated Tensor Cores and FP4 precision, connected to an NVIDIA Grace CPU via NVLink-C2C, optimizing system communication and performance.
DGX Station also features the NVIDIA ConnectX-8 SuperNIC, optimized to supercharge hyperscale AI computing workloads. With support for networking at up to 800Gb/s, the ConnectX-8 SuperNIC delivers fast, efficient network connectivity, enabling high-speed connectivity of multiple DGX Stations for larger workloads, and network-accelerated data transfers for AI workloads.
Combining advanced DGX Station capabilities with the NVIDIA CUDA-X AI platform, teams can enhance desktop AI development performance.
Users also gain access to NVIDIA NIM microservices through the NVIDIA AI Enterprise software platform, which provides optimized inference microservices designed for deployment with enterprise support available.
For more information, visit nvidia.com.
