GKRootWire
Cloud & Sysadmin Microsoft Confirms Preview Update Wipes Out Desktop SettingsAI Nvidia to Acquire Hugging Face for $12.9 BillionDev Tools A Deep Dive Into Intrusive Linked ListsGadgets DJI's Romo 2 Robovac Adds Local-Only Mode After Privacy ScareAI Nvidia Reportedly Moves to Acquire Hugging FaceAI Anthropic Launches Claude Tools for AI Shopping AgentsCloud & Sysadmin Microsoft Confirms Preview Update Wipes Out Desktop SettingsAI Nvidia to Acquire Hugging Face for $12.9 BillionDev Tools A Deep Dive Into Intrusive Linked ListsGadgets DJI's Romo 2 Robovac Adds Local-Only Mode After Privacy ScareAI Nvidia Reportedly Moves to Acquire Hugging FaceAI Anthropic Launches Claude Tools for AI Shopping Agents
Cloud & Sysadmin

The Weird Science of Cooling Data Centers With Urine

A viral joke about recycling pee to cool AI data centers turns out to have some real engineering logic behind it.

Former NFL player Jason Kelce recently joked that data centers should be cooled with human urine instead of scarce drinking water. Turns out the idea isn't pure comedy. Urine is mostly water, and with treatment, could theoretically be repurposed for cooling systems that currently draw millions of gallons of potable water daily.

Data centers, especially those powering AI workloads, need constant cooling to keep servers from overheating. Many facilities use evaporative cooling systems that consume large volumes of fresh water, sparking concern in drought-prone regions. Researchers and wastewater engineers have pointed out that treated greywater or even urine-derived water could serve as an alternative source, provided treatment costs and public perception can be managed.

No major data center operator has publicly committed to pee-powered cooling, but the underlying concept — using non-potable, recycled water sources — is already gaining traction industry-wide.

Why it matters: AI's rapid growth is straining local water supplies near data centers, making alternative cooling sources a real infrastructure issue, not just a punchline. Expect more scrutiny of water usage disclosures as hyperscalers face pressure to justify resource-heavy AI expansion.

Sources: TechCrunch