The following page outlines the most significant aspects of using Docker containers with Amazon SageMaker AI.
Docker is a program that performs operating system-level virtualization for
installing, distributing, and managing software. It packages applications and their
dependencies into virtual containers that provide isolation, portability, and security. With
Docker, you can ship code faster, standardize application operations,
seamlessly move code, and economize by improving resource utilization. For more general
information about Docker, see Docker overview
SageMaker AI Functions
SageMaker AI uses Docker containers in the backend to manage training and inference processes. SageMaker AI abstracts away from this process, so it happens automatically when an estimator is used. While you don't need to use Docker containers explicitly with SageMaker AI for most use cases, you can use Docker containers to extend and customize SageMaker AI functionality.
Containers with Amazon SageMaker Studio Classic
Studio Classic runs from a Docker container and uses it to manage functionality. As a result, you must create your Docker container following the steps in Bring your own SageMaker image.
