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521 points hd4 | 1 comments | 20 Oct 25 12:31 UTC | HN request time: 0.204s | source

Paper: https://dl.acm.org/doi/10.1145/3731569.3764815

1. throwaway48476 ◴[20 Oct 25 14:31 UTC] No.45644327[source]▶

Its easy enough for a a well resourced entity to take a pre trained model and deploy it on new hardware to save on the NVDA tax. It's far less likely for research and model training to happen outside the mature NVDA ecosystem.

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Alibaba Cloud says it cut Nvidia AI GPU use by 82% with new pooling system