Nvidia’s $20 billion strategic licensing deal with Groq represents one of the first clear moves in a four-front fight over ...

Thinking of switching from MacBook? RTX 5070 laptops deliver faster creative performance, powerful AI features and next-level gaming – built for demanding workflows.

TL;DR: NVIDIA CUDA 13.1 introduces the largest update in two decades, featuring CUDA Tile programming to simplify AI development on Blackwell GPUs. By abstracting tensor core operations and automating ...

Calling it the largest advancement since the NVIDIA CUDA platform was inroduced in 2006, NVIDIA has launched CUDA 13.1 with CUDA Tile, which the company said introduces a virtual instruction set for ...

This paper will be presented in IEEE CVPR 2020. We recently released a brand new background matting project: better quality and REAL-TIME performance (30fps at 4K and 60fps at FHD)! You can now use ...

In our view, the Intel–Nvidia pact further accentuates Nvidia Corp.’s dominant market position and represents a milestone in the transition to the next era of computing. Just as Intel Corp. had a lock ...

The CUDA toolkit is now packaged with Rocky Linux, SUSE Linux, and Ubuntu. This will make life easier for AI developers on these Linux distros. It will also speed up AI development and deployments on ...

NVIDIA made headlines recently with its collaboration with Quantum Circuits, Inc., integrating CUDA-Q into Aqumen software and advancing hybrid quantum computing workflows. Over the last quarter, ...

NVIDIA has revealed the GB300 Blackwell Ultra, a massive step forward in its AI accelerator lineup. This chip builds on the already powerful GB200 but increases compute resources, memory size, and ...

A project is trying to cut the cost of making machine learning applications for Nvidia hardware, by developing on an Apple Silicon Mac and exporting it to CUDA. Machine learning is costly to enter, in ...

Why it matters: Nvidia introduced CUDA in 2006 as a proprietary API and software layer that eventually became the key to unlocking the immense parallel computing power of GPUs. CUDA plays a major role ...

CUDA enables faster AI processing by allowing simultaneous calculations, giving Nvidia a market lead. Nvidia's CUDA platform is the foundation of many GPU-accelerated applications, attracting ...