Intelligence Update
AI cooling optimization: potential versus operational reality
AI technologies, including machine learning (ML), are increasingly being used to optimize data center cooling, delivering reportedly significant, double-digit energy savings. However, these figures are not always directly comparable and may offer little indication of the savings operators can achieve at their own facilities.
The industry's best-known benchmark dates back to 2016, when Google reported a reduction of up to a 40% in cooling energy after applying ML (developed by its DeepMind AI lab) to data center cooling controls. This result helped establish AI-based cooling optimization as a credible energy efficiency opportunity and continues to be referenced nearly a decade later.
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