New AWS Deep Learning Containers with Tensorflow 1.15, PyTorch 1.3.1, and MXNet 1.6.0-rc0
The AWS Deep Learning Containers are available today with the latest framework versions of Tensorflow 1.15, PyTorch 1.3.1, and MXNet 1.6.0-rc0. You can launch the new versions of Deep Learning Container on Amazon Sagemaker, Amazon Elastic Kubernetes Service (Amazon EKS), self-managed Kubernetes on Amazon EC2, and Amazon Elastic Container Service (Amazon ECS). For a complete list of frameworks and versions supported by the AWS Deep Learning Containers, see release notes.
More details can be found in marketplace, and a list of available containers can be found in our documentation. Get started quickly with the AWS Deep Learning Containers 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.