alt Hacker NewsYou missed the note at the top "GPUs listed in the following table support compute workloads (no display information or graphics)". It doesn't mean that all CDNA or RDNA2 cards are supported. That table is very is very misleading it's for enterprise compute cards only - AMD Instinct and AMD Radeon Pro series. For actual consumer GPUs list is much worse https://rocm.docs.amd.com/projects/radeon-ryzen/en/latest/in... , more or less 9000 and select 7000 series. Not even all of the 7000 series.
I think that speaks to them not understanding at the time the opportunity they were missing out on by not shipping a CUDA-like thing to everyone, including consumer tech. The question is what'll it look like in a few years now that they do understand AI is the biggest part of the GPU industry.
I suspect, given AMDs relative openness vs. nvidia, even consumer-level stuff released today will end up with a longer useful life than current nvidia stuff.
I could be wrong, of course. I've taken the gamble...the last nvidia GPU I bought was a 3070 several years ago. Everything recent has been AMD. It's half the price for nearly competitive performance and VRAM. If that bet turns out wrong, I'll just upgrade a little sooner and still probably end up ahead. But, I think/hope openness will win.
Also, nvidia graphics drivers on Linux are a pain in the ass that I didn't want to keep dealing with. I decided it wasn't worth the hassle, even if they're better on some metrics. I've been able to run everything I've tried on an AMD Strix Halo and an old Radeon Pro V620 (not great, but cheap, compared to other 32GB GPUs and still supported by current ROCm).