Not Just for Google: ML-Assisted Data Center Cooling You Can Do Today

Not only is this blunt-force approach extremely inefficient, it doesn't guarantee that none of the IT equipment will overheat. "You encounter hot spots even in an over-cooled data center," Rajat Gosh, CEO of AdeptDC, a startup whose software use machine learning to manage data center infrastructure, told Data Center Knowledge in an interview. One of the hardest problems to solve in data center cooling is pressure distribution, he said, and machine learning can be especially effective at solving it. Earlier this year, Joe Kava, the man in charge of data centers for Alphabet's Google, revealed to us that the company had been using machine learning algorithms to automatically tune its data center cooling systems, which enabled cooling energy savings of up to 30 percent. Google has considered turning the technology into a solution it can offer to other companies managing industrial facilities, and it may that sometime in the future, but you don't need to wait.