Account quotas for Autopilot

SageMaker provides prebuilt Docker images that include deep learning framework libraries and other dependencies needed for training and inference. For a complete list of the available pre-built Docker images, see Deep Learning Containers Images .

Use Amazon SageMaker built-in algorithms.

The Amazon SageMaker Python SDK PyTorch estimators and models and the Amazon SageMaker open-source PyTorch container support using the PyTorch machine learning framework for training and deploying models in SageMaker.

How to get started with R on Amazon SageMaker. Example R notebooks and developer guides are included.

The Amazon SageMaker Python SDK Scikit-learn estimators and models and the Amazon SageMaker open-source Scikit-learn container support using the Scikit-learn machine learning framework for training and deploying models in SageMaker.

With AWS Marketplace, you can browse and search for hundreds of machine learning algorithms and models in a broad range of categories, such as computer vision, natural language processing, speech recognition, text, data, voice, image, video analysis, fraud detection, predictive analysis,

Use storage optimized instances to deliver high performance for storage-bound applications.

Provide the best performance for your Amazon EBS volumes by using Amazon EBS–optimized instances.

Use compute optimized instances to deliver high performance for compute-bound applications.