Google built its own chips to expedite its machine learning algorithms

As Google announced at its I/O developer conference today, the company recently started building its own specialized chips to expedite the machine learning algorithms. These so-called Tensor Processing Units (TPU) are custom-built chips that Google has now been using in its own data centers for almost a year, as Google’s senior VP for its technical infrastructure Urs Holzle noted in a press conference at I/O. Google says it’s getting “an order of magnitude better-optimized performance per watt for machine learning” and argues that this is “roughly equivalent to fast-forwarding technology about seven years into the future.” Google also manages to speed up the machine learning algorithms with the TPUs because it doesn’t need the high-precision of standard CPUs and GPUs. Instead of 32-bit precision, the algorithms happily run with a reduced…


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