Nvidia says AI's water challenge is largely solved
tech
According to Axios, Nvidia's Chief Sustainability Officer Josh Parker claims the company's next-generation AI infrastructure can largely solve data center water consumption challenges. The breakthrough: a liquid cooling system that operates at one hundred thirteen degrees Fahrenheit—hot enough to reduce or eliminate the need for additional chilling equipment that typically uses significant water and energy. The announcement comes as Google and Amazon defend their own data center water practices amid growing environmental concerns. Nvidia's approach uses a recirculated liquid mixture similar to automotive antifreeze, and Microsoft's data center engineering chief said such systems could eliminate mechanical chillers in most climates most of the time. But there's a catch. The technology will take years to spread industry-wide, and Nvidia hasn't disclosed costs. More broadly, even if data center cooling becomes more efficient, the electricity needed to power AI infrastructure still requires substantial water depending on the power source. So while Nvidia's chips might drink less, the industry's thirst for AI keeps growing.
Source: https://www.axios.com/2026/06/22/nvidia-data-center-water...
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