Nvidia’s new A100 data center GPU ... which is why the company created its line of DGX deep learning systems. “All of that technology was inspired by the idea that you have to think about ...

OK, maybe you wouldn't pay three grand for a Project DIGITS PC. But what about a $1,000 Blackwell PC from Acer, Asus, or ...

Project Digits will be almost Top 500-fast and is powered by Nvidia's band's new GB10 Grace Blackwell Superchip. With the ...

NVIDIA has unveiled Project DIGITS the 'World's Smallest AI Supercomputer' powered by the GB10 Grace Blackwell Superchip.

Nvidia announced the "world's smallest AI supercomputer" at CES with Project Digits, a 1 PFLOPS machine to handle the entire ...

Uber Technologies has partnered with NVIDIA to boost AI-driven autonomous vehicle development. The collaboration integrates ...

Project DIGITS includes 128GB of unified memory and up to 4TB of NVMe storage, making it capable of handling AI models with ...

Look Ma! No server! With DIGITS, researchers can prototype, fine-tune and test models on a local workstation running Linux-based NVIDIA DGX OS, and then deploy them on NVIDIA DGX Cloud ...

With the Grace Blackwell architecture, enterprises and researchers can prototype, fine-tune and test models on local Project Digits systems running Linux-based Nvidia DGX OS, and then deploy them ...

The other two are Nvidia DGX systems for training AI models and software stacks, and the Nvidia Omniverse platform running on Nvidia OVX systems for testing and validating self-driving systems in ...

In terms of computing power, it should be in no way inferior to previous DGX systems, which have to be plugged into server cabinets in data centers: Nvidia promises that AI models with 200 billion ...

Project DIGITS allows developers to prototype AI models locally on Linux-based systems running NVIDIA DGX OS and scale seamlessly to cloud or data centre environments via NVIDIA DGX Cloud™.