Tensor Processing Units (TPUs) I'm very excited that we can finally discuss this in public. Today at Google I/O +Sundar Pichai revealed the TPU (Tensor Processing Unit), a custom ASIC that Google has designed and built specifically for machine learning applications. We've had TPUs deployed in Google datacenters for more than a year, and they are an order of magnitude faster and more power efficient per operation than other computational solutions for the kinds of models we are deploying to improve our products. This computational speed allows us to use larger, more powerful machine learned models, expressed and seemlessly deployed using TensorFlow (tensorflow.org) into our products, and to deliver the excellent results from those models in less time.
TPUs are used on every Google Search to power RankBrain (https://en.wikipedia.org/wiki/RankBrain), they were a key secret ingredient in the recent AlphaGo match against Lee Sedol, they are used for speech and image recognition, and they are powering a growing list of other smart products and features.
+Norm Jouppi and the rest of the team that developed this ASIC did a fabulous job, and it's great to see it discussed in public!
Reno, NV - Bellevue, WA - Reno, NV - Gainesville, Florida - Seattle, WA - Ensenada, Mexico
It's ok, everything breaks eventually.
I'm a developer programs engineer for the Google+ platform.
I program samples that demonstrate Google+ functionality in a variety of scenarios and platforms.
Circle me to get information on how to drive users to your site using Google+ and develop on top of the Google+ platform.
In the past I have created my own social network, file sharing network, web mail system, teleconferencing robots that are remotely controllable, embedded controllers for researchers, distributed systems, and own set of AIs for robots as well as the specific hardware for them. I worked on Windows up through Windows 8, and do much more than just software engineering.
University of Washington Business School
Business, 2006 - 2008
University of Washington
Computers and Software Systems, 1999 - 2003
Distributed and Parallel Systems
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