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AWS Deep Learning Containers Documentation

AWS Deep Learning Containers (Deep Learning Containers) are a set of Docker images for training and serving models in TensorFlow, TensorFlow 2, PyTorch, and MXNet. Deep Learning Containers provide optimized environments with TensorFlow and MXNet, Nvidia CUDA (for GPU instances), and Intel MKL (for CPU instances) libraries and are available in the Amazon Elastic Container Registry (Amazon ECR).

  1. Developer Guide

    Walks through how to set up AWS Deep Learning Containers and integrate them with other services. Describes the common use cases and provides tutorials to get you working with Deep Learning Containers.
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