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Thanks much for this in-depth explanation. I've been struggling with this for a while as I am low on the learning curve with a lot of ML stuff (partly due to headaches with finding a GPU that was affordable and properly supported in order to develop elementary competence). I think I'm just going to get an eGPU with a recent & decent CUDA card rather than waiting for a utopia of interoperability and backwards compatibility.

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Google Colab gives you $free GPU (usually a 16Gb T4) preloaded with frameworks, ready to run. Later, you might be tempted by the Pro(+) version, but there's plenty of scope to move up the learning curve before spending any money.

I should check that out. Jetbrains just integrated remote management for code and notebooks into their IDEs and this seems like the perfect way to test. Thanks for the tip!

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