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Yep, I develop several applications that use CUDA. I see AMD/Radeon powered computers for sale and want to buy one, but I am not going to risk not being able to run those applications or having to rewrite them.

If they want me as a customer, and they have not created a viable alternative to CUDA, they need to pursue this.

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Define "viable"?

A backend that runs PyTorch out of the box and is as easy to setup / use as nvidia stack.

Installing PyTorch with the PyTorch website instructions for AMD was pretty painless for me on Linux. I know everybodies experience is different, but install wasn't the issue for me.

For me the issue on AMD was stability in situations when VRAM was getting tight.

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