Intel and AMD unveil new x86 standard to make CPUs better at running AI models

Serving tech enthusiasts for over 25 years.

TechSpot means tech analysis and advice you can trust.

First look: The AI hardware discussion has centered on GPUs for so long that CPUs can feel like an afterthought. Intel and AMD are now trying to tilt that balance back, at least a bit, with a new CPU-focused specification. The effort signals that both companies still see room for CPUs to play a bigger role in certain kinds of machine learning workloads.

The specification, called Advanced Compute Extensions, or ACE, lays out a way to handle AI operations more efficiently on x86 processors. It is not aimed at replacing GPUs in large-scale training environments. Instead, the focus is on smaller models, latency-sensitive tasks, and systems where a GPU is either unavailable or not worth the overhead.

That last point matters more than it might seem. Moving data back and forth between a CPU and GPU is not free. For some workloads, especially those that need quick responses or run on limited hardware, that back-and-forth can become a bottleneck. Keeping the work on the CPU avoids that entirely.