This is a JAX article, a parallel computation library that's meant to abstract away vendor specific details. Obviously if you want the most performance you need to know specifics of your hardware, but learning the high level of how a GPU vs TPU works seems like useful knowledge regardless.

> abstract away vendor specific details

Sounds good on paper but unfortunately I've had numerous issues with these "abstractors". For example, PyTorch had serious problems on Apple Silicon even though technically it should "just work" by hiding the implementation details.

In reality, what ends up happening is that some features in JAX, PyTorch, etc. are designed with CUDA in mind, and Apple Silicon is an afterthought.