AWS consistently releases similar products after GCP... but they are much more well-thought-out, as AWS has to support them indefinitely...
AWS consistently releases similar products after GCP... but they are much more well-thought-out, as AWS has to support them indefinitely...
[0]: https://cloud.google.com/vision/automl/docs/export-edge#expo... [1]: https://www.sparkfun.com/categories/tags/tensorflow
More here: https://cloud.google.com/ml-engine/docs/scikit/custom-pipeli... https://cloud.google.com/ml-engine/docs/algorithms/xgboost-s... https://cloud.google.com/ml-engine/docs/tensorflow/getting-s...
Creating custom notebook containers is now also supported with AI Platform: https://cloud.google.com/ai-platform/notebooks/docs/custom-c...
Disclaimer: I work for Google.
I get the trope, you want upvotes, it's an easy joke, and you can say it without real affliction at this point, but can we instead discuss the technical merit at hand — in this case AWS?
In this specific case, as noted by several other comments, you can also export GCP models.