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Nvidia’s Project Digits is a ‘personal AI supercomputer’

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Nvidia’s Project Digits is a ‘personal AI supercomputer’

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At CES 2025 in Las Vegas, Nvidia unveiled Project Digits, a “personal AI supercomputer” that provides access to the company’s Grace Blackwell hardware platform in a compact form factor.

“[Project Digits] runs the entire Nvidia AI stack — all of Nvidia software runs on this,” Nvidia CEO Jensen Huang said onstage during a press conference 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, data scientists, and students, Project Digits packs Nvidia’s new GB10 Grace Blackwell Superchip, which delivers up to a petaflop of computing performance for prototyping, fine-tuning, and running AI models.

Nvidia claims a single Project Digits unit can run models up to 200 billion parameters in size. Parameters roughly correspond to a model’s problem-solving skills, and models with more parameters generally perform better than those with fewer parameters.

The GB10, which was developed in partnership with MediaTek, features an Nvidia Blackwell GPU connected to a 20-core Nvidia Grace CPU. Inside the Project Digits enclosure, the chips are hooked up to a 128GB pool of memory and up to 4TB of flash storage.

Nvidia Project Digits
Image Credits:Nvidia

Nvidia says that two Project Digits machines can be linked together to run up to 405-billion-parameter models, if a job calls for it. Project Digits can deliver a standalone experience, as alluded to earlier, or connect to a primary Windows or Mac PC.

But it’s not cheap. Project Digits machines, which run Nvidia’s Linux-based DGX OS, will be available starting in May from “top partners” for $3,000, the company said.

So it won’t be just anyone who can afford a Project Digits unit of their own. Huang thinks that there’s a market, however.

“With Project Digits, the Grace Blackwell Superchip comes to millions of developers,” he said in a statement. “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.”

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