[vomjom]

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.

[J0-nas]

I agree, I just had in mind that Apple just now added/announced support for external GPUs. Besides Image+Video edditing, I though general computing tasks is a use case they had in mind. It's not like Gaming is big on MacOS.

[akhilcacharya]

>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.

Where can I find more documentation on this? I’ve been looking for something exactly like this.