Technology

Amazon's Data Centers Use 7x Less Water

Amazon's data centers are over 7x more water-efficient than the industry average, utilizing free air cooling and reclaimed water.

Daniel Singer

By Daniel Singer, Editor, StartupHub.ai

2 min read

Abstract visualization of water flowing through data center cooling systems.
Innovative cooling solutions drive Amazon's water efficiency.Credit: Amazon News
Visual TL;DR
Industry Water UseDriver
From the article 2 mentionsThe tech giant's operations now use just 0.12 liters of water per kilowatt-hour, a stark contrast to the industry average of 0.84 L/kWh, according to their sustainability report.
Amazon's Water EfficiencyOutcome
data centers use 0.12 liters per kilowatt-hour, 7x less
From the article 4 mentionsAmazon is significantly outperforming the industry in water efficiency for its data centers, reporting a 52% improvement since 2021.
Dual-Cooling StrategyCore
combines free air cooling with evaporative cooling methods
From the article 2 mentionsThis enhanced efficiency is largely due to a dual-cooling strategy.
Improved EfficiencyEffect
From the article 2 mentionsAmazon is significantly outperforming the industry in water efficiency for its data centers, reporting a 52% improvement since 2021.
Free Air CoolingContext
From the article 2 mentionsFor approximately 90% of the year, data centers utilize "free air cooling," drawing in ambient air to cool servers without water consumption, akin to opening windows on a cool day.
Evaporative CoolingContext
sprays water to cool air when ambient air is too warm
From the article 2 mentionsDuring the hottest periods, when outside air is too warm and humid, Amazon employs evaporative cooling.

Amazon is significantly outperforming the industry in water efficiency for its data centers, reporting a 52% improvement since 2021. The tech giant's operations now use just 0.12 liters of water per kilowatt-hour, a stark contrast to the industry average of 0.84 L/kWh, according to their sustainability report.

This enhanced efficiency is largely due to a dual-cooling strategy. For approximately 90% of the year, data centers utilize "free air cooling," drawing in ambient air to cool servers without water consumption, akin to opening windows on a cool day. This approach is becoming increasingly sophisticated, with some exploring advanced methods like those discussed in Claude's Corner: Inviscid AI, Real-Time CFD for Data Centers Is Suddenly Plausible.

During the hottest periods, when outside air is too warm and humid, Amazon employs evaporative cooling. This process involves spraying water onto an absorbent medium, where evaporation cools the air by 5 to 10 degrees. This method is preferred over traditional chillers, which consume significantly more electricity during peak demand times, as detailed in discussions around Microsoft Confronts AI Infrastructure Backlash with New Data Center Pledges and Microsoft's Azure AI superfactory.

Amazon is also raising the operating temperature thresholds for its servers, enabling them to tolerate more heat and further reducing water usage. This strategy has proven effective, with failure rates remaining constant even at higher temperatures.

The company is pushing towards a goal of being water positive by 2030, meaning it will replenish more water than it consumes. In 2025, Amazon returned approximately 3 gallons for every 4 it used, and has committed to over 50 water projects expected to return more than 5.8 billion gallons annually.

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Furthermore, Amazon leads in using reclaimed water, wastewater from treatment plants, across its facilities. They currently operate 26 buildings using 100% reclaimed water, with plans for 130 more globally, aiding communities in developing their own reclaimed water programs.

These initiatives underscore a broader trend in data center sustainability efforts as demand for computing power, particularly for AI, continues to skyrocket.

Mentioned in this story

Markets

MicrosoftNASDAQ:MSFT
AmazonNASDAQ:AMZN

Sources

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TopicsSustainabilityAmazonData CentersCloud ComputingWater ManagementAWS

Daniel Singer

Written by

Daniel Singer

Editor, StartupHub.ai

Daniel Singer is the editor of StartupHub.ai, a technology expert and thought leader on AI and its applications across sectors, from fintech and healthcare to developer tooling and consumer software. He writes and tests the tools covered here thoroughly and regularly, and built StartupHub.ai to give founders, operators and buyers a clearer read on what they are actually being sold.

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