AWS Deep Learning AMIs also support other popular deep learning frameworks and interfaces such as TensorFlow, Keras, Chainer, and Gluon — pre-installed and fully-configured for you to start developing your deep learning models in minutes while taking advantage of the computation power and flexibility of Amazon EC2 instances. When you activate a Conda environment, the Deep Learning AMIs automatically deploy higher-performance builds of frameworks, optimized for the EC2 instance of your choice. For a complete list of frameworks and versions supported by the AWS Deep Learning AMI, see release notes.
Get started quickly with the AWS Deep Learning AMIs using the getting-started guides and beginner to advanced level tutorials in our developer guide. You can also subscribe to our discussion forum to get launch announcements and post your questions.
https://aws.amazon.com/about-aws/whats-new/2019/10/new-aws-deep-learning-amis-with-ubuntu-18-04-elastic-fabric-adapter-efa-support-pytorch-1-2-and-mxnet-1-5-0/