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Setting up AWS EC2 instance with Tensorflow 2.0 -- AMI versus building it yourself?

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I need to setup an AWS EC2 GPU instance with Tensorflow 2.0. All of the docs that I have seen indicate that the current AWS AMI images only support Tensorflow 1.14 or 1.15, but not Tensorflow 2.0. Hence I was wondering what is the best way to get Tensorflow-gpu 2.0 on an AWS instance.

I could create an EC2 GPU instance, install the Nvidia drivers, and then install a docker instance using nvidia-docker and Tensorflow 2.0. Or is it easier to just install an AWS AMI image with Tensorflow 1.14 and then upgrade to Tensorflow 2.0? It is not clear which approach makes more sense.

Any suggestions would be welcome.


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