The Deep Learning CloudFormation template is also updated with the latest AMI IDs and lets you customize and provision a distributed deep learning cluster on CPU or GPU instances. This template does the heavy lifting of configuring MXNet or Tensorflow on master and worker instances properly so users can focus their time and effort on their deep learning problem. This updated configuration also provisions and configures an Amazon Elastic File System so results, logs and data can be shared across cluster instances.

Visit the AWS Marketplace to get started with the AWS Deep Learning AMI v1.4_Jun2017 for Ubuntu and the AWS Deep Learning AMI v2.2_Jun2017 for Amazon Linux. The updated CloudFormation template and a walkthrough are available at the Deep Learning AWS Labs GitHub page.