AI data centers are adopting new cooling technologies that reduce local water usage but increase overall water consumption at power plants supplying electricity. This development involves major operators like Nvidia, Microsoft, Amazon Web Services, and Meta, who are implementing closed-loop or air-cooling systems. While these systems reduce on-site water usage, they necessitate increased electricity consumption, thereby transferring the water demand burden to thermoelectric power plants. The Lawrence Berkeley National Laboratory has highlighted this trade-off, estimating significant indirect water usage through electricity generation compared to direct data center consumption. Key Takeaways The shift to new cooling technologies in AI data centers appears to reduce local water usage while increasing demand for electricity, impacting overall water consumption. Observers suggest this could lead to discussions about potential regulations, particularly in water-stressed areas like Texas. Market pricing for a Texas data center moratorium by December 2027 indicates increased interest, with a notable rise from 16% to 20% YES over the past day. What to Watch The developments around AI data ...
AI data centers’ new cooling tech shifts water burden to power plants
13 hours ago
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