(Image credit: Getty Images) Most all you hear about "running an AI model" involves a GPU of some sort, but not every AI task is suited to that hardware. Smaller models or single-user latency-sensitive operations can benefit from running on the CPU instead, as it avoids the overhead of shuffling data to and from the GPU. There are also many situations where there is no GPU available to begin with, or it's a meek integrated affair with limited capabilities. Intel and AMD have recently released the full specification for the ACE CPU extensions that make it easier and more power-efficient to run the aforementioned AI tasks on x86 processors. ACE comes in by offering a technical standard that leverages the existing AVX10 registers but adds silicon dedicated to matrix multiplication. This brings multiple benefits, but the key advantages are better power efficiency, easier development and optimization, and leveraging AVX's 512-bit inputs.…