Given that experience, think about what state the alternatives must be in!

It’s pretty bad. just when you think you can order AMD chips since there is no shortage, and use a translation layer and have a cheap AI datacenter, it turns out AMD is fumbling the ball at every step of the way

It’s interesting. They have had plenty of time and resources available to mount solid competition. Why haven’t they? Is it a talent hiring problems or some more fundamental problem with their engineering processes? The writing has been on the wall for gpgpu for more than 10 years. Definitely enough time to catch up.

Its a commitment problem IMO. NVidia stuck with CUDA for a long time before it started paying them what it cost. AMD and Intel have both launched and killed initiatives a couple times each, but abandon them within a few years because adoption didn't happen overnight.

If you need people to abandon an ecosystem thats been developed steadily over nearly 20 years for your shiny new thing in order to keep it around, you'll never compete.

To be fair, Cuda has improved a lot since 2014 or so. I messed up my Linux box multiple times trying to install Cuda but the last time it was just apt install and maybe setting ld library and it all just worked.

Have you tried Vulkan Compute or OpenCL? I recommend evaluating this relatively, vice compared to an ideal.