It is much, much slower than a dedicated GPU or TPU, so it is useful for "edge" inference eg. local speech or image recognition, but not for training new models

It is much, much slower than a dedicated GPU or TPU, so it is useful for "edge" inference eg. local speech or image recognition, but not for training new models. It is using shared memory with the CPU so I don't know how much memory you could eat up while training. In short, you will probably get much better performance using Google Colab to train a deep learning model, than the M1.