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Schneider Electric's analysis indicates that raising coolant temperatures in liquid-cooled systems could significantly reduce water usage for AI data centers by up to 50%. This approach addresses a critical constraint for high-density computing environments where traditional cooling methods struggle with efficiency and resource availability. The strategy represents a tangible engineering shift toward sustainable infrastructure essential for scaling large-scale AI deployments.
Source coveringThe Register
What this isA model's reading of the article and related coverage, written for aiqbench. Not the publisher's words.

Schneider says hotter coolant can make AI datacenters less thirsty

The Register1 min read

Modeling suggests liquid-cooled designs can halve water consumption, though the company has skin in the game

Read the full article at The Register

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