this post was submitted on 31 Aug 2023
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Can't they remove the data from the training set and start over?
Indeed they can, but training a model can take a month or more and cost many millions of dollars, so it's not trivial.
What makes up the cost? Buying CPU cycles and storage? Just curious.
Outside of the costs of hardware, its just power. Running these sorts of computations is getting more efficient, but the sheer amount of computation means that its gonna take a lot of electricity to run.
The GPU cluster. The H100 GPUs are about $40,000 each and you need many.
Interesting. Thanks.
GPU cycles probably, but yeah. That makes up the bulk of the cost. The price of data is assuredly increasing as well, but that's slightly beside the issue.
All of it. At that scale, you're paying for data access, network communication, layers of storage... Basically every single step of computation becomes a meaningful cost