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April 5, 2017 05:48 pm GMT
It’s no secret that Google has developed its own custom chips to accelerate its machine learning algorithms. The company first revealed those chips, called Tensor Processing Units (TPUs), at its I/O developer conference back in May 2016, but it never went into all that many details about them, except for saying that they were optimized around the company’s own TensorFlow… Read More
Original Link: http://feedproxy.google.com/~r/Techcrunch/~3/r1hRWBe_Frg/
Google says its custom machine learning chips are often 15-30x faster than GPUs and CPUs
It’s no secret that Google has developed its own custom chips to accelerate its machine learning algorithms. The company first revealed those chips, called Tensor Processing Units (TPUs), at its I/O developer conference back in May 2016, but it never went into all that many details about them, except for saying that they were optimized around the company’s own TensorFlow… Read MoreOriginal Link: http://feedproxy.google.com/~r/Techcrunch/~3/r1hRWBe_Frg/
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