The AWS Deep Learning AMIs equip machine learning practitioners and researchers with the infrastructure and tools to accelerate deep learning in the cloud at any scale. You can quickly launch Amazon EC2 instances on Amazon Linux or Ubuntu, preinstalled with popular deep learning frameworks. Examples include Apache MXNet and Gluon, TensorFlow, the Microsoft Cognitive Toolkit (CNTK), Caffe, Caffe2, Theano, Torch and Keras. You can use these frameworks to train sophisticated, custom AI models; experiment with new algorithms; or to learn new skills and techniques.

Whether you need Amazon EC2 GPU or CPU instances, there is no additional charge for the Deep Learning AMIs. You only pay for the AWS resources needed to store and run your applications.

Developer Guide

Helps you launch and use the Deep Learning AMI (DLAMI). This guide covers several use cases that are common for deep learning for both training and inference. Learn how to choose the right AMI and the type of instances for your purpose.