Paid Feature Great hardware is the foundation of any compute platform. But hardware, in and of itself, is never sufficient to create a platform. And in fact, it takes two other important things for ...

AMD launched the latest version of its ROCm AI software stack last week, putting it in a better position to compete with Nvidia for AI hardware customers. Although the performance of AI chips is a key ...

Speeds and feeds are great, but hardware is only as useful as the software that can harness it, and, for AMD, that’s the ROCm software stack. If you’re not familiar, ROCm is to AMD’s Instinct GPU ...

A startup focused on customizing large language models for enterprises reveals its embrace of AMD’s Instinct MI200 GPUs and ROCm platform as the chip designer mounts its largest offensive yet against ...

The upcoming MI300, which will ship Latter this year after NVIDIA’s Grace/Hopper Superchip, certainly has a shot at it. But there remain a lot of unknowns that will determine how well it performs for ...

Graphics processing units (GPUs) are traditionally designed to handle graphics computational tasks, such as image and video processing and rendering, 2D and 3D graphics, vectoring, and more.

Editor's take: In the ever-evolving world of GenAI, important advances are happening across chips, software, models, networking, and systems that combine all these elements. That's what makes it so ...

AMD this week introduced the 7th version of its ROCm (Radeon open compute) open-source software stack for accelerated computing that substantially improves the performance of AI inference on existing ...

Nvidia's RTX Spark is competing in a space that AMD kickstarted over a year ago.

Chip market analyst firm SemiAnalysis in its latest AI inference benchmark testing called out AMD, claiming the Nvidia rival’s inference optimizations were “not as competitive as one would expect” ...