What if the key to unlocking faster, more efficient machine learning workflows lies not in your algorithms but in the hardware powering them? In the world of GPUs, where raw computational power meets ...

Regular readers will probably know this already, but AMD's RDNA 4 GPUs are quite good at machine learning workloads. The company's FSR 4 AI-powered upscaler delivers excellent results, much closer to ...

As part of its Computex 2025 announcements, AMD has given gamers a sneak peek at the company's major update for its FidelityFX Super Resolution (FSR) technology. Dubbed FSR Redstone, the upcoming ...

AMD has officially announced its next GPU architecture, RDNA 4, today at CES, and while the company didn’t spend much time talking about what this means (more to come later this quarter), during a pre ...

One of the best ways to reduce your vulnerability to data theft or privacy invasions when using large language model artificial intelligence or machine learning, is to run the model locally. Depending ...

A PassMark listing suggests AMD is preparing the Ryzen AI Max+ PRO 495 APU with 192GB of unified LPDDR5X memory, up from 128GB in its predecessor. The enterprise-focused chip, part of the upcoming ...

The AMD-powered El Capitan supercomputer, housed at the Lawrence Livermore National Laboratory (LLNL), is now ranked as the world’s fastest supercomputer. Built by HPE, the supercomputer uses AMD ...