This relationship took a twist this week when the company revealed that it has indeed been making its very own long-rumoured chips, designed specifically for machine learning.
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Because of this, we can squeeze more operations per second into the silicon, use more sophisticated and powerful machine learning models and apply these models more quickly, so users get more intelligent results more rapidly.
TPUs have been tested already in Google applications such as RankBrain, which is used to improve the relevancy of search results.
But perhaps the highest profile case of Google s stealthy use of the chips is in its recent AlphaGo Chinese board game win against Go world champion Lee Sedol.
Building TPUs into our infrastructure stack will allow us to bring the power of Google to developers across software like TensorFlow and Cloud Machine Learning with advanced acceleration capabilities.
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