[D] Is there any market for SIMD-based autodiff for ARM processors intended for optimization?

I was wondering. I know most ARM processors are used in embedded devices which are not at all used for optimization tasks. However, Aarch64 architecture is being applied to more and more multi-purpose machines. Apple M1 for example. Plus they are oft used for clustering.

Certainly, Aarch64's SIMD cannot do the same thing that some odd-400-bit a gazillion parallel jigaflops of Nvidia GPUs achive. But I was thinking, with careful encoding of the floats, or just using vector floats of …

apple architecture arm arm processors autodiff clustering devices embedded embedded devices encoding example gpus machinelearning machines nvidia nvidia gpus optimization processors thinking vector