Jake Roach Social Links Navigation Senior Analyst, CPUs Jake Roach is the Senior CPU Analyst at Tom’s Hardware, writing reviews, news, and features about the latest consumer and workstation processors.
bit_user Since they're now aligning more closely on the x86 ISA, it makes a lot of sense that they should find common cause in code optimization around it. Somehow, I doubt this will extend to their respective GPUs, however. Reply
thestryker bit_user said: Somehow, I doubt this will extend to their respective GPUs, however. If they really wanted to take the fight to nvidia it might make sense to, but I don't think it's very likely either. Reply
bit_user thestryker said: If they really wanted to take the fight to nvidia it might make sense to, but I don't think it's very likely either. Well, the problem with that is that AMD's approach to GPU compute was basically to copy CUDA so closely that you basically just need to search-and-replace the function names. By contrast, Intel's oneAPI is their own unique approach to multi-platform compute. So, the backends would necessarily differ quite considerably, unless AMD somehow decided to support oneAPI (which seems unlikely, in the foreseeable future) or Intel adopted HIP. Therefore, unlike with the CPU backends that should be like 97% identical, there are probably no big wins to be had by AMD and Intel joining forces. At least, so long as their GPU API strategies remain unchanged. Reply
Key considerations
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Reference reading
- https://www.tomshardware.com/pc-components/cpus/SPONSORED_LINK_URL
- https://www.tomshardware.com/pc-components/cpus/amd-and-intel-will-work-together-to-create-a-single-pytorch-code-path-for-ai-inference-on-cpus-amd-zendnn-library-gets-folded-into-intel-onednn-to-make-cpu-ai-simpler#main
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