问题
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
回答1:
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/
回答2:
Cloud ML currently focuses on CPUs. GPUs and TPUs will be available in the future.
回答3:
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.
来源：https://stackoverflow.com/questions/40051506/tpu-custom-chip-available-with-google-cloud-ml