this post was submitted on 15 Aug 2025
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The University of Rhode Island's AI lab estimates that GPT-5 averages just over 18 Wh per query, so putting all of ChatGPT's reported 2.5 billion requests a day through the model could see energy usage as high as 45 GWh.

A daily energy use of 45 GWh is enormous. A typical modern nuclear power plant produces between 1 and 1.6 GW of electricity per reactor per hour, so data centers running OpenAI's GPT-5 at 18 Wh per query could require the power equivalent of two to three nuclear power reactors, an amount that could be enough to power a small country.

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[–] A_norny_mousse@feddit.org 111 points 1 day ago (15 children)

I don't care how rough the estimate is, LLMs are using insane amounts of power, and the message I'm getting here is that the newest incarnation uses even more.

BTW a lot of it seems to be just inefficient coding as Deepseek has shown.

[–] kautau@lemmy.world 17 points 20 hours ago* (last edited 18 hours ago) (7 children)

And water usage which will also increase as fires increase and people have trouble getting access to clean water

https://techhq.com/news/ai-water-footprint-suggests-that-large-language-models-are-thirsty/

[–] FauxLiving@lemmy.world 7 points 17 hours ago (6 children)

It would only take one regulation to fix that:

Datacenters that use liquid cooling must use closed loop systems.

The reason they dont, and why they setup in the desert, is because water is incredibly cheap and energy to cool a closed loop system is expensive. So they use evaporative open loop systems.

[–] Ilovethebomb@sh.itjust.works 1 points 16 hours ago (1 children)

That increases your energy use though, because evaporative cooling is very energy efficient.

[–] FauxLiving@lemmy.world 6 points 16 hours ago

We can make energy from renewable sources.

Fresh drinking water is finite, especially in the desert.

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