Machine learning optimizes Google data centers' PUE
Did you know that Google has been calculating its data centers’ PUE data every five minutes for over five years, including 19 different variables such as cooling tower speed, processing water temperature, pump speed, outside air temperature, humidity, etc? The Internet search giant has by now reportedly compiled "hundreds of millions" of data points to analyze and put to use in making its data center energy operations better. GigaOM's Katie Fehrenbacher has the story of how "neural networks are the latest way Google is slashing energy consumption from its data centers" and how "only a [sophisticated] computer model could crunch all the data Google has collected on its data center energy consumption."
Full story:Google is harnessing machine learning to cut data center energy(gigaom.com)
See also: Google's data center building boom thunders on
About the Author
Matt Vincent
Senior Editor
Matt Vincent is a B2B technology journalist, editor and content producer with over 15 years of experience, specializing in the full range of media content production and management, as well as SEO and social media engagement best practices, for both Cabling Installation & Maintenance magazine and its website CablingInstall.com. He currently provides trade show, company, executive and field technology trend coverage for the ICT structured cabling, telecommunications networking, data center, IP physical security, and professional AV vertical market segments. Email: [email protected]
Voices of the Industry
