At CES 2025 in Las Vegas, Nvidia unveiled Undertaking Digits, a “personal AI supercomputer” that gives entry to the corporate’s Grace Blackwell {hardware} platform in a compact kind issue.
“[Project Digits] runs the entire Nvidia AI stack — all of Nvidia software runs on this,” Nvidia CEO Jensen Huang stated onstage throughout a press convention on Monday. “It’s a cloud computing platform that sits on your desk … It’s even a workstation, if you like it to be.”
Designed for AI researchers, information scientists, and college students, Undertaking Digits packs Nvidia’s new GB10 Grace Blackwell Superchip, which delivers as much as a petaflop of computing efficiency for prototyping, fine-tuning, and operating AI fashions.
Nvidia claims a single Undertaking Digits unit can run fashions as much as 200 billion parameters in measurement. Parameters roughly correspond to a mannequin’s problem-solving abilities, and fashions with extra parameters usually carry out higher than these with fewer parameters.
The GB10, which was developed in partnership with MediaTek, options an Nvidia Blackwell GPU related to a 20-core Nvidia Grace CPU. Contained in the Undertaking Digits enclosure, the chips are hooked as much as a 128GB pool of reminiscence and as much as 4TB of flash storage.
Nvidia says that two Undertaking Digits machines could be linked collectively to run as much as 405-billion-parameter fashions, if a job requires it. Undertaking Digits can ship a standalone expertise, as alluded to earlier, or hook up with a main Home windows or Mac PC.
However it’s not low cost. Undertaking Digits machines, which run Nvidia’s Linux-based DGX OS, might be out there beginning in Could from “top partners” for $3,000, the corporate stated.
So it gained’t be simply anybody who can afford a Undertaking Digits unit of their very own. Huang thinks that there’s a market, nonetheless.
“With Project Digits, the Grace Blackwell Superchip comes to millions of developers,” he stated in an announcement. “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.”
