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Water usage at AI scale

Data center water consumption is becoming an increasingly important consideration as operators plan for the next generation of AI infrastructure.. However, water use is not an inevitable consequence of larger deployments. Cooling architecture, operating temperatures and heat rejection strategies all play a significant role in determining how efficiently facilities use water and energy..

In this technical whitepaper, Schneider Electric compares four 100 MW data center cooling designs across different climates, examining how liquid cooling and optimized operating temperatures can reduce water consumption while improving energy efficiency.. Read it now to learn how to:.

Evaluate the impact of air and liquid cooling architectures on water consumption, energy efficiency and overall data center performance. Understand how increasing technology cooling system (TCS) supply temperatures can extend free-cooling opportunities and significantly reduce water usage.

Balance water and energy efficiency, cooling capacity and capital expenditure through optimized heat rejection strategies and equipment selection

 

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