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Google Boots Up Tensor Processors On Its Cloud

February 12, 2018 Jeffrey Burt

Google laid down its path forward in the machine learning and cloud computing arenas when it first unveiled plans for its tensor processing unit (TPU), an accelerator designed by the hyperscaler to speeding up machine learning workloads that are programmed using its TensorFlow framework.

Almost a year ago, at its Google I/O event, the company rolled out the architectural details of its second-generation TPUs – also called the Cloud TPU – for both neural network training and inference, with the custom ASICs providing up to 180 teraflops of floating point performance and 64 GB of High Bandwidth Memory. …

Under The Hood Of Google’s TPU2 Machine Learning Clusters

May 22, 2017 Paul Teich

As we previously reported, Google unveiled its second-generation TensorFlow Processing Unit (TPU2) at Google I/O last week. Google calls this new generation “Google Cloud TPUs”, but provided very little information about the TPU2 chip and the systems that use it other than to provide a few colorful photos. Pictures do say more than words, so in this article we will dig into the photos and provide our thoughts based the pictures and on the few bits of detail Google did provide.

To start with, it is unlikely that Google will sell TPU-based chips, boards, or servers – TPU2 …

Google Boots Up Tensor Processors On Its Cloud

Under The Hood Of Google’s TPU2 Machine Learning Clusters

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