AWS Deep Learning Containers Alternatives (January 2026)

AWS Deep Learning AMIs provides ML practitioners with curated, secure frameworks, dependencies, and tools to accelerate and scale deep learning in the cloud.

Build, train, and deploy machine learning (ML) models for any use case with fully managed infrastructure, tools, and workflows.

Amazon Elastic Container Registry (ECR) is a fully managed Docker container registry that makes it easy to store, share, and deploy container images.

Prepackaged and optimized deep learning containers for developing, testing, and deploying AI applications on TensorFlow, PyTorch, and scikit learn.

AWS Batch allows developers, scientists, and engineers to efficiently process hundreds of thousands of batch and machine learning computing jobs on AWS.

Amazon Personalize is an ML service that helps developers quickly build and deploy a custom recommendation engine with real-time personalization and user segmentation.

AWS App Runner helps you deploy and scale from your source code or container image to a secure web application on AWS.

Amazon DevOps Guru is a machine learning service designed to detect abnormal operating patterns so you can identify issues before they impact your customers.

Learn about AWS Inferentia an ML chip presented by AWS.