NVIDIA says AI data centers can cut water use with warmer liquid cooling
The chipmaker is trying to reframe the water backlash as a cooling-architecture problem, not a hard limit on AI buildout.
By Ryan Merket · Published
Primary source: X
Why it matters
NVIDIA is trying to turn one of AI infrastructure's biggest permitting risks into a hardware-sales argument: newer GPU systems may use less water, but they also enable more buildout.
NVIDIA used a Monday post on X to push back on the claim that AI data centers are becoming an unmanageable water burden, pointing to a Manhattan Institute argument that data centers account for roughly 0.2 percent of U.S. freshwater consumption and to a new generation of liquid-cooled AI systems that can run warmer than earlier infrastructure.
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