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Serverless Machine Learning with Tensorflow on Google Cloud Platform
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Disclaimer: I am notoriously anti google and have tons of reasons to post these links. We push on hybrid cloud/on prem deep learning with our own deep learning framework that competes with the commerical sides of tensorflow, mxnet,..
Even their docs: https://cloud.google.com/tpu/
Marketing content/training: https://www.coursera.org/learn/serverless-machine-learning-g...
vs (1 link I found with googling) for AWS: https://aws.amazon.com/tensorflow/
If we push the amazon equivalent though, run this: site:amazon.com aws mxnet
Every cloud vendor has their own framework. Microsoft has CNTK on azure as well.
Google doesn't want a repeat of what happened with map reduce and hadoop: https://www.quora.com/What-is-the-relationship-between-MapRe...
That being said, as a user: Just take it. You benefit from vendors competing. Google would love to pay you to use their tools.