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this post was submitted on 25 Mar 2024
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All the talk about how much computing power and electricity AI uses, and then Google and Bing just run it for every (most? many? some?) search.
Isn't it the training of the models which is the most energy intensive? whereas generating some text in answer to a question is probably not super intensive. Caveat: I know nothing
Yes training is the most expensive but it's still an additional trillion or so floating point operations per generated token of output. That's not nothing computationally.
Just consider how long it takes GPT4 to answer a question. Anywhere from a few seconds to a minute in my experience. There's at least one A100 at probably 400w going full throttle that whole time, plus all the supporting hardware.