Amazon SageMaker is a fully-managed service that provides developers and data scientists with the ability to quickly build, train, and deploy machine learning models. The construct in this module allows users to configure model components, including the model inference code as a Docker image and an optional set of separate model data artifacts. Additionally, users can define a single-container model or an inference pipeline composed of multiple containers. The inference code can be stored in the Amazon EC2 Container Registry (Amazon ECR) or a local directory containing a Dockerfile.
