AWS Deep Learning Containers

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Docker Images for Machine Learning - AWS Deep Learning Containers - AWS

AWS Deep Learning Containers are Docker images preinstalled with deep learning frameworks that make it easy to deploy custom machine learning environments.

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At the AWS Summit Santa Clara 2019, we announced AWS Deep Learning Containers (AWS DL Containers), which are Docker images optimized and pre-installed with the latest versions of deep learning frameworks, allowing you to skip the complicated process of building and optimizing your machine learning (ML) environments from scratch.

With AWS DL Containers, you can quickly set up custom ML environments on Kubernetes, Amazon Elastic Container Service for Kubernetes (Amazon EKS), Amazon Elastic Container Service (Amazon ECS), and Amazon EC2. AWS DL Containers support TensorFlow and Apache MXNet, with PyTorch coming soon. The containers are available through Amazon Elastic Container Registry (Amazon ECR) and AWS Marketplace at no cost--you pay only for the resources that you use.

Train a Deep Learning model with AWS Deep Learning Containers on Amazon EC2

In this tutorial, you will train a TensorFlow machine learning model on an Amazon EC2 instance using the AWS Deep Learning Containers.

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