Google’s Custom Chip Can Accelerate Machine Learning Jobs

by Sam Dean – May. 19, 2016Comments (0)On the heels of open sourcing TensorFlow, a possibly hugely influential contribution to the field of machine learning, Google recently officially released TensorFlow Serving to the open-source community. TensorFlow Serving is billed as “a high performance, open source serving system for machine learning models, designed for production environments and optimized for TensorFlow.” TensorFlow itself is the actual engine behind several Google tools you may already use, including Google Photos and the speech recognition found in the Google app. Now, Google has delivered another important complement to TensorFlow, which is a custom chip called Tensor Processing Unit, or TPU. At the Google I/O conference this week, CEO Sundar Pichai said the TPU provides an order of magnitude faster performance per watt than existing chips for machine…

Link to Full Article: Google’s Custom Chip Can Accelerate Machine Learning Jobs

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