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Right. I think the question though is why isn't somebody fixing this situation? There's money sitting on the table for them when they figure it out and get their act together.



> I think the question though is why isn't somebody fixing this situation?

They are. Its called "Use ROCm". Tensorflow support, PyTorch support, etc. etc.

Yeah, its limited to Linux, its limited to a few cards. But within those restrictions, ROCm does work.


As far as I know, AMD doesn't have an incentive to improve this limited offering because they don't have chips with a good enough cost-to-compute ratio to get people to buy them if they did get Rocm/hip/etc working.


Frontier and El Capitan will be the first Exascale processors on the planet (now that Project Aurora has slipped schedule).

Both with AMD MI100 providing the bulk of their compute. Frontier seems like it was given development boards of MI100, because AMD is talking about how they already ported some code over to the MI100 and tested it.


You're on HN so you're probably aware of the costs and difficulty involved in staffing an organization large enough to tackle these issues in an effective time frame.

Nvidia has quite a head start. You're not just talking about some simple driver support either. You're talking about runtime compilation/JIT(to target various flavors of HW), tooling support, library optimizations, API stability and maintenance... AMD can catch up, but unless they come up with a new approach it's going to take a long time and a lot of smart people to do so.


> AMD can catch up, but unless they come up with a new approach it's going to take a long time and a lot of smart people to do so.

I think they will. AMD has the challenger mindset. They rose from the ashes and now actually compete with Intel and they can tackle NVIDIA as well.




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