Nvidia Digits represents a significant leap forward in AI technology. By combining powerful hardware, a comprehensive software stack and a compact, power-efficient design, Digits brings the capabilities of an AI supercomputer to the desktop.

Consumer Electronics Show in Las Vegas, Nvidia unveiled Project Digits, a device it's calling a 'personal AI supercomputer.'

One of the biggest announcements in Nvidia CEO Jensen Huang’s CES keynote was the small “Project Digits” AI supercomputer, and if you want to get an idea of just how tiny the $3,000 machine is in real life, we snapped a couple photos of the device under glass today at the show.

NVIDIA’s new Project Digits mini supercomputer is designed for developers, researchers, students, and data scientists who need to run AI models and will be small enough to fit in a bag.

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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.

Tech giant NVIDIA announced Project DIGITS, the world’s smallest AI supercomputer, on Monday, January 6. It’s a personal device that allows AI researchers, data scientists, and students to

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.

Project Digits will be almost Top 500-fast and is powered by Nvidia's band's new GB10 Grace Blackwell Superchip. With the Nvidia AI software stack preinstalled and 128GB of memory, developers can prototype, fine-tune, and infer large AI models of up to 200B parameters locally and then seamlessly deploy to the data center or cloud.

Project DIGITS main purpose seems to be as a desktop showcase for the GB10 AI superchip. Each machine will includje 128GB of unified, coherent memory and 4TB of storage. Users can even link two together to run 405 billion parameter models, previously only the reserve of the big AI labs.

Nvidia founder and CEO Jensen Huang had an extensive CES 2025 address, detailing everything from Nvidia’s next set of GPUs, its plans for embracing the next era of robotics and automotive innovation,