I think part of my question is naive: The Raspberry Pi doesn't have certain hardware to make computations like matrix multiplication easy - certainly not as fa

I think part of my question is naive: The Raspberry Pi doesn't have certain hardware to make computations like matrix multiplication easy - certainly not as fast as CUDA cores. However, I'd love it if someone could explain how one would conceptually approach dividing up the computation of a 512x512 image. Or if you had a well-trained model that happened to be 50GB in size, how you could distribute it over several compute cores (GPUs) like database sharding. That is what this post is seeking. We need an AI shepherd :-)