TPU

This week, Google announced Cloud TPU beta availability on the Google Cloud Platform (GCP), accessible through their Compute Engine infrastructure-as-a-service. Using the second generation of Google’s tensor processing units (TPUs), the standard Cloud TPU configuration remains four custom ASICs and 64 GB of HBM2 on a single board, intended for accelerating TensorFlow-based machine learning workloads. With a leased Google Compute Engine VM, Cloud TPU resources can be used alongside current Google Cloud Platform CPU and GPU offerings. First revealed at Google I/O 2016, the original TPU was a PCIe-based accelerator designed for inference workloads, and for the most part, the TPUv1 was used internally. This past summer, Google announced the inference and training oriented successor, the TPUv2, outlining plans to incorporate it into their cloud...

Hot Chips: Google TPU Performance Analysis Live Blog (3pm PT, 10pm UTC)

Another Hot Chips talk, now talking Google TPU.

30 by Ian Cutress on 8/22/2017

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