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Google's Tensor Processing Unit
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<blockquote data-quote="harsha45" data-source="post: 20168642" data-attributes="member: 187943"><p>Google unveils a custom chip, which it says advances computing performance by three generations.</p><p></p><p><img src="http://core5.staticworld.net/images/article/2016/05/tpu-2-100661805-large.png" alt="" class="fr-fic fr-dii fr-draggable " style="" /></p><p></p><p><span style="font-size: 18px">Forget the CPU, GPU, and FPGA, Google says its Tensor Processing Unit, or TPU, advances machine learning capability by a factor of three generations.</span></p><p><span style="font-size: 18px"></span></p><p><span style="font-size: 18px">“TPUs deliver an order of magnitude higher performance per watt than all commercially available GPUs and FPGA,” said Google CEO Sundar Pichai during the company’s I/O developer conference on Wednesday.</span></p><p><span style="font-size: 18px"></span></p><p><span style="font-size: 18px">TPUs have been a closely guarded secret of Google, but Pichai said the chips powered the AlphaGo computer that beat Lee Sedol, the world champion in the incredibly complicated game called Go.</span></p><p><span style="font-size: 18px"></span></p><p><span style="font-size: 18px">Pichai didn’t go into details of the Tensor Processing Unit but the company did disclose a little more information in a blog posted on the same day as Pichai’s revelation. </span></p><p><span style="font-size: 18px"></span></p><p><span style="font-size: 18px">“We’ve been running TPUs inside our data centers for more than a year, and have found them to deliver an order of magnitude better-optimized performance per watt for machine learning. This is roughly equivalent to fast-forwarding technology about seven years into the future (three generations of Moore’s Law),” the blog said. “TPU is tailored to machine learning applications, allowing the chip to be more tolerant of reduced computational precision, which means it requires fewer transistors per operation. 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.”</span></p><p><span style="font-size: 18px"></span></p><p><span style="font-size: 18px">The tiny TPU can fit into a hard drive slot within the data center rack and has already been powering RankBrain and Street View, the blog said.</span></p><p></p><p></p><p><a href="http://www.pcworld.com/article/3072256/google-io/googles-tensor-processing-unit-said-to-advance-moores-law-seven-years-into-the-future.html?token=%23tk.PCW_nlt_pcw_tech_html_2016-05-19&idg_eid=86e53fe6080bf8ccdf14d51f6baa1739&utm_source=Sailthru&utm_medium=email&utm_campaign=Top%20Stories%20%40PCWorld%202016-05-19&utm_term=pcw_tech_html" target="_blank">http://www.pcworld.com/article/3072256/google-io/googles-tensor-processing-unit-said-to-advance-moores-law-seven-years-into-the-future.html?token=#tk.PCW_nlt_pcw_tech_html_2016-05-19&idg_eid=86e53fe6080bf8ccdf14d51f6baa1739&utm_source=Sailthru&utm_medium=email&utm_campaign=Top Stories @PCWorld 2016-05-19&utm_term=pcw_tech_html</a></p></blockquote><p></p>
[QUOTE="harsha45, post: 20168642, member: 187943"] Google unveils a custom chip, which it says advances computing performance by three generations. [IMG]http://core5.staticworld.net/images/article/2016/05/tpu-2-100661805-large.png[/IMG] [SIZE="5"]Forget the CPU, GPU, and FPGA, Google says its Tensor Processing Unit, or TPU, advances machine learning capability by a factor of three generations. “TPUs deliver an order of magnitude higher performance per watt than all commercially available GPUs and FPGA,” said Google CEO Sundar Pichai during the company’s I/O developer conference on Wednesday. TPUs have been a closely guarded secret of Google, but Pichai said the chips powered the AlphaGo computer that beat Lee Sedol, the world champion in the incredibly complicated game called Go. Pichai didn’t go into details of the Tensor Processing Unit but the company did disclose a little more information in a blog posted on the same day as Pichai’s revelation. “We’ve been running TPUs inside our data centers for more than a year, and have found them to deliver an order of magnitude better-optimized performance per watt for machine learning. This is roughly equivalent to fast-forwarding technology about seven years into the future (three generations of Moore’s Law),” the blog said. “TPU is tailored to machine learning applications, allowing the chip to be more tolerant of reduced computational precision, which means it requires fewer transistors per operation. 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.” The tiny TPU can fit into a hard drive slot within the data center rack and has already been powering RankBrain and Street View, the blog said.[/SIZE] [url]http://www.pcworld.com/article/3072256/google-io/googles-tensor-processing-unit-said-to-advance-moores-law-seven-years-into-the-future.html?token=%23tk.PCW_nlt_pcw_tech_html_2016-05-19&idg_eid=86e53fe6080bf8ccdf14d51f6baa1739&utm_source=Sailthru&utm_medium=email&utm_campaign=Top%20Stories%20%40PCWorld%202016-05-19&utm_term=pcw_tech_html[/url] [/QUOTE]
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