New AWS Deep Learning AMIs with Updated Framework Support: Tensorflow (1.15.2 & 2.1.0), PyTorch 1.4.0, MXNet 1.6.0, and Elastic Inference with Pytorch 1.3.1

Posted on: Mar 9, 2020

The AWS Deep Learning AMIs are available on Ubuntu 18.04, Ubuntu 16.04, Amazon Linux 2, and Amazon Linux with TensorFlow (1.15.2 & 2.1.0), PyTorch 1.4.0, MXNet 1.6.0. The PyTorch EI environment has been updated to 1.3.1.

AWS Deep Learning AMIs also support other interfaces such as 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.