Artificial intelligence helps Google save electricity

One of the main and main items of Google’s spending is electricity. Computing centers of the search giant consume a lot of energy, while constantly heating and releasing heat, so they need to be cooled, and this also leads to energy costs. Otherwise, the servers may fail, and this, too, will fly into a pretty penny. Therefore, in order not to waste electricity in vain, as well as to increase the efficiency of its facilities, the corporation decided to start something with this a couple of years ago, then a new startup DeepMind, working on creating artificial intelligence, which Google bought and bought on occasion, came in handy.

Previously, DeepMind specialists taught artificial intelligence to quickly cut into video games on the Atari console, later developed a program that defeated the world champion in the board game Go, and now the guys, not without participation of their developments, help Google save money. Now, under the wing of Alphabet, the parent company of Google, the project brings certain fruits.

DeepMind created a neural network system and connected it to the data center. Additionally included in the circuit program that can predict the temperature based on previously received data. The system turned out to be rather complicated, it works with a lot of parameters, simultaneously taking into account the speed of rotation of coolers, the efficiency of cooling systems in general, windows and much more.

Artificial intelligence has been used by Google for a long time, it has been “friends” with servers for a couple of years, but the program developed by DeepMind has made it possible to make the work of computing centers even more effective. As representatives of DeepMind say, the cost of electricity required to cool their own servers has decreased by almost 40 percent. The metrics measured on the Google servers are more modest, but also inspire optimism.

The diagram above shows the power consumption before the DeepMind system was started even after it was started. The right part of the diagram shows how the indicators fell after it was turned off again.

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