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If you run it on your own hardware then you know exactly how much energy it's using. Some of the models can even run on the average computer, but the quality is not great.
The problem we have right now is where everyone is trying to use generative AI for everything, all the time, even for basic takes such as googling for a fact, simple math that could be done on a calculator, etc. They're also often using the latest and greatest AI models, which are powerful and spend a lot of processing power each time. In order to run the servers to respond to all that, companies use a large amount of power, and then use water to cool the servers. That's the water usage from what I understand.
So if you use a simpler / more efficient model, and only use it for tasks where it's better than conventional tools, you'll be doing much better power usage wise.
Thanks! ๐
BTW, are the Chinese way ahead of the US in this like they are with renewables and electric cars? They'll probably figure out a way to have AI use significantly less power before "we" can.
They kinda did with Deepseek out of necessity to circumvent the import restrictions on AI chips. But this model is very pro-China (it has lots of censorship built in)