Nvidia’s Project Digits is a ‘personal AI supercomputer’
Consumer Electronics Show in Las Vegas, Nvidia unveiled Project Digits, a device it's calling a 'personal AI supercomputer.'
A Nvidia AI Supercomputer Could Be Yours for Just $3,000
Nvidia, the undisputed leader in the rapidly-growing AI hardware market, has announced a “personal AI supercomputer” intended to be used by researchers and data scientists looking to run large AI models on their own personal computers. The new product, named Project DIGITS, will cost $3,000 and be released this May.
Nvidia’s $3,000 ‘Personal AI Supercomputer’ Will Let You Ditch the Data Center
Nvidia CEO Jensen Huang also announced new AI tools for creating autonomous agents during a keynote address at CES.
Nvidia’s $3,000 Project Digits puts a 1-Petaflop AI on your desk
Nvidia announced a new $3,000 PC-sized AI supercomputer for researchers and enterprises that can run ChatGPT locally. It is scheduled for release in May.
Nvidia unveils $3,000 desktop AI computer for home researchers
At CES on Monday, Nvidia CEO Jensen Huang described the new system as "a cloud computing platform that sits on your desk." The company also designed Project DIGITS as a bridge between desktop development and cloud deployment.
Nvidia announces $3,000 personal AI supercomputer called Digits
Nvidia offers a range of similar devices in the same accessibility style — in December, it announced a $249 version of its Jetson computer for AI applications, targeting hobbyists and startups, called the Jetson Orin Nano Super (it handles models up to 8 billion parameters ).
Nvidia's Digits is a tiny AI supercomputer for your desk
But what's inside makes it pretty special. Digits is powered by Nvidia's new GB10 Grace Blackwell Superchip, which delivers up to 1 petaflop of AI performance, and Nvidia teamed up with MediaTek to make the chip more energy-efficient, meaning that running it requires the kind of power you get from a standard power outlet.
Nvidia Announces $3,000 AI Supercomputer for Your Desk
This silicon features a Blackwell GPU connected via NVLink-C2C to an Nvidia Grace CPU. The latter features 20 power-efficient Arm cores for general computing. One of the things that sets AI accelerators apart from gaming GPUs is the memory,
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