Llamas don't drink much water. Meta's new AI version is damn thirsty.
. People in the tech industry are excited. Except for maybe Shaolei Ren. are fired up to train these giant new AI models. He took a look at Llama 2 and is worried.
The total water footprint for training Llama 2 is 10.9 million liters, or 2.8 million liters if hydropower is excluded, Ren estimated. . Meta didn't disclose how much water it used to train this AI model. However, the company did disclose power consumption. Ren took that and looked at how efficient Meta data centers are when it comes to using energy and water.
That yielded his estimate, which he said is almost double the water footprint of Meta's previous big AI model, Llama 1, which came out earlier this year. increase this consumption massively"If the power usage increases, everything else like carbon and water footprints will also increase," Ren told Insider. A Meta spokesperson didn't respond to a request for comment on Ren's estimates.
Meta's data centers used just over 5 million cubic meters of water in 2021. That's about 1.33 billion gallons. The company has yet to share 2022 data.
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