NVIDIA offers personal supercomputers

NVIDIA has introduced the NVIDIA DGX personal AI supercomputers, bringing the power of the Grace Blackwell architecture, previously only available in the data centre, to the desktop.

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, finetune 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 centre infrastructure. Global system builders slated to develop DGX Spark and DGX Station include ASUS, Dell, HP Inc. and Lenovo.

Source: NVIDIA. The DGX Station.

“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 is the world’s smallest AI supercomputer. Powered by a NVIDIA GB10 Grace Blackwell superchip, the DGX Spark is optimised for a desktop form factor. GB10 features a NVIDIA Blackwell GPU with fifth-generation Tensor cores and FP4 support, delivering up to 1,000 trillion operations per second of AI compute.

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 optimise 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 centre infrastructure, with virtually no code changes.

The NVIDIA DGX Station brings data-centre-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 784 GB of coherent memory space to accelerate large-scale training and inferencing workloads. The GB300 desktop superchip features an NVIDIA Blackwell Ultra GPU with latest-generation Tensor cores and FP4 precision, connected to a high-performance NVIDIA Grace CPU via NVLink-C2C.

DGX Station also features the NVIDIA ConnectX-8 SuperNIC, optimised to supercharge hyperscale AI computing workloads. With support for networking at up to 800 Gbps, the ConnectX-8 SuperNIC delivers fast, efficient network connectivity, enabling high-speed connectivity of multiple DGX Stations for even larger workloads, as well as network-accelerated data transfers for AI workloads.

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

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

Details

DGX Spark systems can be reserved at https://www.nvidia.com/en-us/products/workstations/dgx-spark/

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

Hashtag: #GTC2025

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