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[-] darkevilmac@lemmy.zip 43 points 4 months ago

I skimmed the article, but it seems to be assuming that Google's LLM is using the same architecture as everyone else. I'm pretty sure Google uses their TPU chips instead of a regular GPU like everyone else. Those are generally pretty energy efficient.

That and they don't seem to be considering how much data is just being cached for questions that are the same. And a lot of Google searches are going to be identical just because of the search suggestions funneling people into the same form of a question.

[-] kromem@lemmy.world 16 points 4 months ago

Exactly. The difference between a cached response and a live one even for non-AI queries is an OOM difference.

At this point, a lot of people just care about the 'feel' of anti-AI articles even if the substance is BS though.

And then people just feed whatever gets clicks and shares.

[-] quick@thelemmy.club 0 points 4 months ago

Googles tpu can't handle llm's lol. What do you mean "exactly"?

[-] kromem@lemmy.world 4 points 4 months ago

In fact, Gemini was trained on, and is served, using TPUs.

Google said its TPUs allow Gemini to run “significantly faster” than earlier, less-capable models.

Did you think Google's only TPUs are the ones in the Pixel phones, and didn't know that they have server TPUs?

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this post was submitted on 06 Jul 2024
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