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embedding-shapelast Saturday at 9:39 AM1 replyview on HN

What type of company are you talking about here? Granted, nowadays I mostly interact with ML-adjacent companies but almost none would go "Hmm, hard to get nvidia hardware today, lets dump all expertise and knowledge of CUDA et al we have and start using AMD hardware until we can get nvidia", everyone would just wait or rent in the meantime.


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wongarsulast Saturday at 12:09 PM

Inference workloads are usually a lot less picky about the exact hardware than model training. At least in the cases I know of the models are trained on Nvidia hardware, then exported and run on a mix of Nvidia and AMD

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