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by WatchDog
1241 days ago
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Very very rough estimate, using inference benchmarks, which can't necessarily be extrapolated to training, but if a A100 takes 6.49 seconds to generate an image, and a EPYC 7352 24-core cpu takes 223.19 seconds[0], that's 34 times slower. So you would need at least 2,716,796 hours to train on CPU. A m6a.12xlarge is roughly equivalent to a EPYC 7352 24-core[1], it currently costs
$0.5028 an hour on spot. So that works out to a cost of $1,366,005. [0]: https://lambdalabs.com/blog/inference-benchmark-stable-diffu... [1]: https://browser.geekbench.com/v5/cpu/compare/17529628?baseli... |
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