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tensorflowgoogle-cloud-mlgoogle-cloud-tpu
Nick
Nick

Reputation: 23

TPU custom chip available with Google Cloud ML

Which type of Hardware is used as part of Google Cloud ML when using TensorFlow? Only CPU or Tensor Processing Unit (custom cards) are also available?

cf this article

Upvotes: 1

Views: 456

Answers (3)

Derek T. Jones
Derek T. Jones

Reputation: 1822

Cloud TPUs are available to the public as of 2018-06-27: https://cloud.google.com/tpu/docs/release-notes

This was announced at Google Next '18:

https://www.blog.google/products/google-cloud/empowering-businesses-and-developers-to-do-more-with-ai/

Upvotes: 0

Andre Holzner
Andre Holzner

Reputation: 18695

At the time of writing (December 2017), GPUs are available, see https://cloud.google.com/ml-engine/docs/training-overview

If you use the gcloud command line utility, you can e.g. add the --scale-tier BASIC_GPU option when submitting jobs to mlengine. This currently gives runs your tensorflow code on a Tesla K80.

There is also a CUSTOM scale tier which allows more complex configurations and gives access to P100 GPUs (see https://cloud.google.com/ml-engine/docs/using-gpus ).

The TPU service is in 'alpha' status according to https://cloud.google.com/tpu/ and one needs to sign up to learn more.

Upvotes: 0

Amir Hormati
Amir Hormati

Reputation: 339

Cloud ML currently focuses on CPUs. GPUs and TPUs will be available in the future.

Upvotes: 2

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