Industry News June 3, 2026 Perfect Water Valve Team

Data Center Water Usage: How Hyperscalers Are Cutting Cooling Water Costs

Data-center water use varies by cooling design, climate, and operations. Facility-specific billing and operating data are the appropriate basis for an assessment.

✓ Facility-specific assessment
✓ Facility-specific billing review
✓ Billing data review
✓ Assumptions Documented
✓ Improves WUE Score
Site data
Assessment basis
Projected
Potential outcome
Varies
By facility

Why Data Centers Are High-Priority for Water Efficiency

Data centers use water primarily for cooling — evaporative cooling towers, chilled water systems, and increasingly direct liquid cooling for high-density AI compute. A hyperscale facility can use 1–5 million gallons per day. As AI workloads drive compute density higher, cooling water demand is growing faster than the facilities themselves. At the same time, regulatory pressure, ESG reporting requirements, and water scarcity concerns are making water usage a board-level issue for major operators.

The Amazon YYZ3 and YYZ4 Results

Amazon YYZ3 and YYZ4 are fulfillment centres in Brampton, Ontario, not data centers, so they are not presented here as data-center proof. A data-center evaluation should use the facility's own billing history, cooling design, operating profile, and agreed measurement approach.

For the full verified data with five charts, visit the Amazon YYZ3 & YYZ4 case study.

WUE and Regulatory Pressure

Water Usage Effectiveness (WUE) is an emerging metric for data center sustainability reporting, calculated as annual site water usage divided by annual IT equipment energy usage. Several U.S. states — including California, Colorado, and Virginia — are implementing or actively considering regulations that require data centers to report and reduce water consumption.

Smart Valve™ may be evaluated as one option for metered water use. It does not guarantee a WUE score, ESG outcome, or regulatory result. For context, see the WUE page and the Data Centers industry overview.

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We discuss facility-specific billing data, operating requirements, and assumptions with data-center teams. Reporting methods are agreed for each project.

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