People rarely train ML models on macOS for the reason you mentioned. Most machine learning work happens on Linux, so this should work well there.
TensorFlow supports a standalone server mode where it receives computation graphs and executes them. This is nice because then you can remotely execute on any accelerator (Cloud TPU, multi-worker multi-GPU) from your laptop.
In their demo, they did exactly that with a Cloud TPU: it connected to a TensorFlow server that executed the machine learning training part of the program.
TensorFlow supports a standalone server mode where it receives computation graphs and executes them. This is nice because then you can remotely execute on any accelerator (Cloud TPU, multi-worker multi-GPU) from your laptop.
In their demo, they did exactly that with a Cloud TPU: it connected to a TensorFlow server that executed the machine learning training part of the program.