Is x86 Ready to ACE It? The New AI Acceleration Standard

Is x86 ready to ACE it?

I explore how Intel's new ACE extension evolves beyond AMX to accelerate AI workloads using outer products and flexible data types. Unlike Arm's SME, ACE leverages fixed-width vectors for superior handling of quantized model weights and block scaling. This shift aims to make x86 CPUs a more competitive, low-latency alternative to GPUs for machine learning tasks.

"We have historically mostly used inner products because that reduces the amount of state we need to keep in registers, and since that is a precious resource that has been important to optimise for."