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Photo by — @federize

Renewable Energy, Google & AI

Making Data Centres Run Efficient

Yesterday I wrote an article about the lack of data on data centres within the new feature Google released to search for datasets. However in this article I had little focus on the great things that Google are doing. I will through this article only skim the surface focusing on the importance of responsible use of hardware.

“The new study shows that while the amount of computing done in data centers increased by about 550 percent between 2010 and 2018, the amount of energy consumed by data centers only grew by six percent during the same time period.”

So if we consider these energy efficiency gains the technology industry is doing rather well to address the issues in regards to renewable energy.

“Starting in 2014, we even began using machine learning to automatically optimize cooling in our data centers.”

They also took several measures deploying:

  • Lighting
  • Cooling controls
  1. The average annual power usage effectiveness for our global fleet of data centers in 2019 hit a new record low of 1.10, compared with the industry average of 1.67 — meaning that Google data centers use about six times less overhead energy for every unit of IT equipment energy.
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Figure 1: Google Data Center PUE measurement boundaries. The average PUE for all Google Data Centers is 1.11, although we could boast a PUE as low as 1.06 when using narrower boundaries.
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PUE data for all large-scale Google Data Centers

Written by

AI Policy and Ethics at www.nora.ai. Student at University of Copenhagen MSc in Social Data Science. All views are my own. twitter.com/AlexMoltzau

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