So is there suddenly, like, a lot more demand for GPUs with no tensor cores that can't run CUDA?
Because it doesn't sound like AMD has solved either of those problems.
That's because you think that the entire computing world is PCs when they're actually a tiny fraction of what is actually out there. The server/data centre side makes the PC market look like a bad joke in comparison. What, do you think that these supercomputers are being used for
Blender? Man, that's just hilarious!
Unfortunately for nVidia, computers of this scale are used for simulating extremely complex atomic and molecular interactions like protein folding and nuclear chain reactions. WTH is CUDA going to do for that? Literally nothing, as this list of fastest supercomputers in the world shows us.
The top-5 fastest supercomputers in the world are the following:
1) Cray
Frontier (AMD EPYC, Radeon Instinct), USA
2) Fujistu
Fugaku (Fujitsu AFX64 ARM, no dedicated GPU cores), Japan
3) Cray
LUMI (AMD EPYC, Radeon Instinct), Finland
4) Atos
Leonardo (Intel Xeon, nVidia Ampere), Italy
5) IBM
Summit (IBM POWER9, nVidia Tesla), USA
When
El Capitan comes online, three of the top-5 (#1, #2 & #4) supercomputers in the world will be using Radeon GPUs with the fastest supercomputer using nVidia GPUs will be #5.
If CUDA actually made a difference in supercomputers, we wouldn't see Radeons in the fastest and most expensive supercomputers in the world, would we?
So, with almost all of the fastest supercomputers in the world using Radeons, just what "problems" are you referring to?