在GCP上运行Tensorflow应用的最佳实践? [英] Best practice to run Tensorflow app on GCP?

问题描述

我希望运行一个使用Tensorflow来运行模拟并将结果输出到csv文件的Python应用.

I wish to run a Python app that uses Tensorflow to run simulations and outputs results to a csv file.

我想在GCP上运行它.我的计划是使用 Tony .

I want to run it on GCP. My plan was to run it in a Dataproc cluster using Tony.

似乎有许多GCP处理ML的方式，例如使用 AI平台，我想知道是否有更容易/更好的方法来实现自己的目标.

It seems there are many GCP ways of doing ML stuff such as using AI Platform, and I wondered if there are easier/better ways of achieving my aim.

推荐答案

我建议使用 GoogleCloud AI平台可实现您的目标，因为如果您不依赖Hadoop生态系统，则无需在Dataproc上使用Tony，并且在您的用例中使用Google Cloud AI平台应该会容易得多.

I would suggest to use Google Cloud AI platform to achieve your goal, because if you do not have dependency on Hadoop ecosystem there no need to use Tony on Dataproc and it should be much easier to use Google Cloud AI platform for your use case.

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