NVIDIA DGX Spark may look like a mini PC, but under the hood, it’s a powerful AI supercomputer based on the NVIDIA GB10 20-core Armv9 SoC with Blackwell architecture delivering up to 1,000 TOPS (FP4) of AI performance, and high memory bandwidth (273 GB/s) with 128 GB 256-bit LPDDR5x.
The GB10 SoC is equipped with ten Cortex-X925 cores, ten Cortex-X725 cores, a Blackwell GPU, 5th Gen Tensor cores, and 4th Gen RT cores. The system also features a 1 TB or 4TB SSD, an HDMI 2.1a video output port, 10GbE and WiFi 7 networking, and four USB4 ports.
NVIDIA DGX Spark specifications:
- SoC – NVIDIA GB10
- CPU – 20-core Armv9 processor with 10x Cortex-X925 cores and 10x Cortex-A725 cores
- Architecture – NVIDIA Grace Blackwell
- GPU – Blackwell Architecture
- CUDA Cores – Blackwell Generation
- 5th Gen Tensor cores
- 4th Gen RT (Ray Tracing) cores
- Tensor Performance – 1000 AI TOPS (FP4)
- VPU – 1x NVENC, 1x NVDEC
- System Memory – 128 GB 256-bit LPDDR5x with 273 GB/s memory bandwidth
- Storage – 1 TB or 4 TB NVMe M2 SSD with self-encryption
- Display – HDMI 2.1a port
- Audio – HDMI multichannel audio output
- Networking
- 10GbE RJ45 port via ConnectX-7 Smart NIC
- WiFi 7 and Bluetooth 5.3
- USB – 4x USB4 Type-C ports
- Power Consumption – 170 Watts
- Dimensions – 150 x 150 x 50.5 mm
- Weight – 1.2 kg
Bandwidth is critical for AI workloads, and NVIDIA futher highlights 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.
The DGX Spark runs NVIDIA DGX OS based on Ubuntu 22.04 and the company says the system supports the NVIDIA Cosmos Reason world foundation model and NVIDIA GR00T N1 robot foundation model. The NVIDIA AI platform includes tools, frameworks, libraries, and pre-trained models to allow developers to prototype, fine-tune, and inference the latest generation of reasoning AI models from DeepSeek, Meta, Google, and others with up to 200 billion parameters locally. But you can work on even larger models, as the NVIDIA Connect-X Networking can connect two NVIDIA DGX Spark systems to work with AI models up to 405 billion parameters.
Developers can reserve a DGX Spark in the US, UK, France, Italy, Germany, and Spain through partners such as ASUS, Dell, or HP. Price should be around $3,000 to $4,000 and the system will become available in May. More details can be found on the product page and the announcement which also includes the much larger DGX Station that looks like a desktop PC and delivers “data-center-level performance”.
Jean-Luc started CNX Software in 2010 as a part-time endeavor, before quitting his job as a software engineering manager, and starting to write daily news, and reviews full time later in 2011.
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