NVIDIA’s Project DIGITS: A Petaflop AI Supercomputer for Every Desk

January 8th 2025

Credit: NVIDIA

In Summary:

NVIDIA has announced Project DIGITS, a groundbreaking personal AI supercomputer powered by the new GB10 Grace Blackwell Superchip, designed to bring AI capabilities directly to developers, researchers, and students. The supercomputer can perform at 1 petaflop (1 petaflop is equal to a quadrillion floating-point operations per second) of AI computing power, enabling users to prototype, fine-tune, and run AI models up to 200 billion parameters right from their desktops.

The GB10 Superchip combines NVIDIA’s Blackwell GPU, Grace CPU, and cutting-edge Tensor Cores, offering unprecedented power efficiency and scalability. With up to 128GB of memory and 4TB of storage, Project DIGITS allows users to build and deploy AI applications on a local system, then seamlessly scale to NVIDIA’s cloud or data center infrastructure using the same architecture.

CEO Jensen Huang emphasized the importance of democratizing AI by putting advanced tools in the hands of millions, stating, “AI will be mainstream in every application for every industry.” However, at US$3,000, Project DIGITS will need to prove its accessibility to a broader audience, especially in a market where other players like OpenAI and Google are pushing cloud-first solutions.

With its rich ecosystem of AI software, libraries, and frameworks, Project DIGITS could catalyze innovation. Still, it remains to be seen whether NVIDIA’s hardware-first approach will dominate an industry increasingly favoring distributed cloud solutions.

For Those Who Don’t Know - What is NVIDIA?

NVIDIA is a global leader in graphics processing units (GPUs) and AI computing. Founded in 1993, the company initially revolutionized the gaming industry with its advanced GPUs. Over the years, NVIDIA has expanded its focus to power breakthroughs in artificial intelligence, deep learning, data science, and autonomous systems. Its cutting-edge hardware and software platforms have become integral in fields ranging from AI research to healthcare, automotive, and cloud computing.

Read the full article at: NVIDIA