NVIDIA Enters The AI PC Realm With DGX Spark & DGX Station Desktops: 72 Core Grace CPU, Blackwell GPUs, Up To 784 GB Memory

NVIDIA officially makes the desktop entrance with DGX Spark & DGX Station AI PCs with Grace CPUs & Blackwell GPUs.

NVIDIA DGX Spark & DGX Station AI PCs Feature A Desktop-Feel With Enterprise-Grade Hardware: Grace CPU & Blackwell GPUs With Tons of Memory

Press Release: DGX Spark, formerly Project DIGITS, and DGX Station, a new high-performance NVIDIA Grace Blackwell desktop supercomputer powered by the NVIDIA Blackwell Ultra platform, enables 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.

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 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.

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.

[Editors Note] NVIDIA's CEO, Jensen Huang, showcased a motherboard which will be featured in the DGX Spark/Station systems. This board comes with a single Blackwell SXM board with the same two dies and 8 HBM3e sites.

The board is currently using a B200 GPU but will also come with upgraded B300 designs. There's also a large 72-core Grace CPU alongside pools of LPDDR5x memory. Three M.2 slots can be seen equipped with NVMe SSDs and the NVLINK switch is also featured on the top of the board. Other IO include three PCIe x16 Gen5 slots and some insane power delivery, including three 16-pin connectors (12V-2x6), a single EPS 8-pin and a 24-Pin ATX power plug.

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 massive 784GB 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, delivering best-in-class 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 extremely fast, efficient network connectivity, enabling high-speed connectivity of multiple DGX Stations for even larger workloads, and network-accelerated data transfers for AI workloads.

Availability

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

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