By enabling CUDA applications to run on third-party GPUs from AMD, Intel, and others, this effort could dramatically expand ...

Nvidia became the first stock to hit a $4 trillion market cap. The company continues to be the dominant player in AI ...

That means developers will soon be able to run MLX models directly on NVIDIA GPUs, which is a pretty big deal. Here’s why.

NVIDIA's upcoming China-specific B30 AI GPU has estimated 75% of the performance of H20, with demand for B30 'significant' ...

Nvidia is the dominant player in AI infrastructure, but its size could limit some of its upside. AMD and Broadcom, meanwhile, ...

ZLUDA, an open-source CUDA translation layer, has lived two quite vivid lives with Intel and then AMD GPUs. It was nearly killed in August when AMD asked to take down the code developed using its ...

Nvidia CEO Jensen Huang returns to China for a media briefing amid rising tensions over U.S. export restrictions on high-tech ...

While competitors are racing to close the gap, Nvidia's combination of cutting-edge hardware and indispensable CUDA platform ...

What you’ll learn: Differences between CUDA and ROCm. What are the strengths of each platform? Graphics processing units are traditionally designed to handle graphics computational tasks, such ...