Leading chipmaker NVIDIA unveiled Project DIGITS, a new small supercomputer, at the Consumer Electronics Show (CES) 2025. It is aimed at AI researchers, data scientists, and students across the world. The supercomputer provides access to the GB10 Grace Blackwell Superchip, which Jensen Huang, CEO of NVIDIA, calls a ‘super secret chip’.
The GB10 features a 20-core NVIDIA Blackwell GPU, one of the most powerful AI hardware systems available today. The CPU was built in collaboration with MediaTek.
Project DIGITS features 128 GB of unified memory and offers storage options of up to 4TB. Similar to a typical computer, DIGITS requires only a standard electrical outlet to operate. It operates on a Linux-based NVIDIA DGX operating system.
The supercomputer can also run up to 200 billion parameter LLMs locally, and if you have two of them, NVIDIA says you can link them up to run AI models double the size.
what??
— el.cine (@EHuanglu) January 7, 2025
NVIDIA just dropped Project DIGITS, a $3,000 personal AI supercomputer that’s small enough to look like a Mac Mini but packs 1,000x the power of your average laptop.
Handles AI models with up to 200 BILLION parameters.
This is incredible.. pic.twitter.com/z4JOeFD2JI
DIGITS allows users to deploy AI models on the NVIDIA DGX cloud and leverage all the tools present inside NVIDIA’s AI Enterprise software platform. For instance, you can fine-tune models on the NeMo framework and build agents on NVIDIA Blueprints and NIM microservices.
The higher performance and portability increase the cost. DIGITS will be available in May of this year and will cost a whopping $3000.
“AI will be mainstream in every application for every industry. With Project DIGITS, the Grace Blackwell Superchip comes to millions of developers,” said Huang.
“Placing an AI supercomputer on the desks of every data scientist, AI researcher, and student empowers them to engage and shape the age of AI,” he added.
At first glance, there’s no doubt that Project DIGITS is entering the Mac Mini territory, at least in terms of the form factor. “I must have the NVIDIA Project DIGITS for my home lab. 128GB pooled RAM, 4TB storage, the size of a Mac mini, Running DGX OS, a Linux-based OS. The coming years are going to be wild in the world of AI and robotics,” said Jamie Madden, a machine learning developer on X.
In December of last year, NVIDIA introduced the Jetson Orin Nano Super Developer Kit, a compact generative AI supercomputer now priced at $249, down from $499. According to the company, it offers enhanced performance with 67 INT8 TOPS, marking a 70% improvement over its predecessor, alongside a memory bandwidth of 102GB/s, which is a 50% increase.
