TensorFlow

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...

AMD Announces Wider EPYC Availability and ROCm 1.7 with TensorFlow Support

Earlier this year AMD announced its return to the high-end server market with a series of new EPYC processors. Inside is AMD’s new Zen core, up to 32 of...

20 by Ian Cutress on 11/13/2017

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