Nvidia announces the DGX Spark mini AI supercomputer and DGX Station desktop for developers at GTC.
Nvidia has revealed its new DGX Spark and DGX Station “personal AI supercomputers” at today’s GTC conference, which are both powered by the company’s Grace Blackwell platform and designed for users to work on large AI models with or without a connection to a datacenter; the Spark is going up for preorder today.
The DGX Spark is the new name for Nvidia’s $3,000 Mac Mini-sized “world’s smallest AI supercomputer” that was announced with the name “Digits” at CES earlier this year. Its larger, just-announced DGX Station counterpart, currently with no price tag, is aimed at “AI developers, researchers, data scientists and students to prototype, fine-tune and inference large models on desktops.” The Spark is powered by Nvidia’s GB10 Blackwell Superchip, featuring a GPU with fifth-generation Tensor Cores and FP4 support. The GB10 is optimized for the Spark’s smaller desktop form factor. However, it can still deliver “up to 1,000 trillion operations per second of AI compute for fine-tuning and inference with the latest AI reasoning models, including the NVIDIA Cosmos Reason world foundation model and NVIDIA GR00T N1 robot foundation model.” Spark features 128GB of unified memory, and up to 4TB of NVMe SSD storage. Meanwhile, the DGX Station, with its larger size, accommodates Nvidia’s just-announced, more powerful GB300 Blackwell Ultra desktop super chip that “provides 20 petaflops of AI performance and 784GB of unified system memory.” Nvidia also said OEM partners will make versions of the DGX computers. Asus, Dell, HP, Boxx, Lambda, and Supermicro will build their own DGX Stations, which will be available later this year. Meanwhile, the DGX Spark will have versions made by Asus, Dell, HP, and Lenovo. You can reserve one today on Nvidia’s website, with deliveries expected this summer. Nvidia isn’t the only company building GPUs with lots of unified memory that can be used for local LLMs. Rival AMD has the Ryzen AI Max+ “Strix Halo,” and HP is putting the 128GB version into a laptop, while Framework has put it into a $2,000 desktop. Both let the GPU access up to 96GB of VRAM.
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