In this tutorial we will use aws deep learning containers on an aws deep learning base amazon machine images amis which come pre packaged with necessary dependencies such as nvidia drivers docker and nvidia docker.
Aws docker container tutorial.
I would encourage you to read the aws documentation on single container docker.
You can register one or more amazon ec2 instances also referred to as container instances with your cluster to run tasks on or you can use the serverless infrastructure that fargate provides.
This version of docker is open source and can be used on a variety of platforms including.
Now that you have learned to deploy your docker enabled application to amazon ecs you can progress to the next tutorial where you will learn how to create a docker registry to store your container images.
Docker community edition ce is free for anyone to use.
An amazon ecs cluster is a logical grouping of tasks or services.
We ll be using amazon web services to deploy a static website.
Learn how to break a monolith application into microservices with amazon elastic container service docker and amazon ec2 in 120 minutes.
Amazon ecs uses docker images in task definitions to launch containers on amazon ec2 instances in your clusters.
When your tasks are run on fargate your cluster resources are managed by fargate.
You can run deep learning containers on any ami with these packages.
Want to learn how to break a monolith application into microservices with amazon elastic container service docker and amazon ec2.