Seems that NVIDIA is way ahead of everyone else in bringing AI to the masses, at home. I read somewhere that it is $3,000.
NVIDIA unveils Project DIGITS: a personal AI supercomputer for the masses
https://www.naturalnews.com/2025-01-09-nvidia-unveils-project-digits-a-personal-ai-supercomputer-for-the-masses.htmlAt the Consumer Electronics Show (CES) in Las Vegas, NVIDIA has taken a bold step toward democratizing artificial intelligence (AI) with the launch of Project DIGITS, a personal AI supercomputer designed to bring cutting-edge AI capabilities to researchers, data scientists, and students worldwide. Powered by the groundbreaking NVIDIA GB10 Grace Blackwell Superchip, Project DIGITS delivers a staggering petaflop of AI computing performance, enabling users to prototype, fine-tune, and run large AI models directly from their desktops. This innovation marks a pivotal moment in AI development, as it places the power of a supercomputer within reach of millions of developers, potentially accelerating the pace of AI innovation across industries.
A petaflop on your deskThe centerpiece of Project DIGITS is the NVIDIA GB10 Superchip, a system-on-a-chip (SoC) built on the Grace Blackwell architecture. The GB10 combines an NVIDIA Blackwell GPU with fifth-generation Tensor Cores and a high-performance NVIDIA Grace CPU, connected via NVLink-C2C chip-to-chip interconnect. This integration delivers up to 1 petaflop of AI performance at FP4 precision, all while operating on standard electrical power.
“AI will be mainstream in every application for every industry. With Project DIGITS, the Grace Blackwell Superchip comes to millions of developers,” said Jensen Huang, founder and CEO of NVIDIA. “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.”
The GB10 Superchip’s power efficiency and performance are further enhanced by its collaboration with MediaTek, a leader in Arm-based SoC designs. Each Project DIGITS unit features 128GB of unified memory and up to 4TB of NVMe storage, enabling developers to run AI models with up to 200 billion parameters. For even larger models, two Project DIGITS systems can be linked via NVIDIA ConnectX networking to handle models with up to 405 billion parameters.
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