Hardware requirements vary for machine learning and other compute-intensive workloads. Get to know these GPU specs and Nvidia GPU models. Chip manufacturers are producing a steady stream of new GPUs.

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 ...

On stage today at CES, AMD announced the first major updates to its graphics IP since late 2022. That's right folks: RDNA 4 is finally arriving, and true to speculation, it appears to be squarely ...

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 ...

TL;DR: Intel's Xe2 graphics architecture has been integrated into its Lunar Lake Core Ultra 200V mobile chips, and the company is already testing next-gen Xe3 in upcoming Panther Lake chips. Although ...