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AWS Deep Learning AMIs

AWS Deep Learning AMIs developer resources

Documentation & forum

Developer guide

Provides a overview of the AWS Deep Learning AMIs, including detailed instructions for selecting the right AMI for your project, setting up the AMI, as well as quick and easy tutorials to get you started. 

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Community forum

Start a discussion with other machine learning practitioners, and post your questions in the AWS Deep Learning AMIs community forum.

10-minute tutorials

In this step-by-step tutorial, you'll learn how to launch an AWS Deep Learning AMI. The AMIs are machine images loaded with deep learning frameworks that make it simple to get started with deep learning in minutes.

Start the tutorial >>

Blogs

Automations

Networking best practices for generative AI on AWS

by Hernán Terrizzano and Marcos Boaglio, 08/12/2024

Networking best practices for generative AI on AWS
Automations

Deploy LLMs in AWS GovCloud (US) Regions using Hugging Face Inference Containers

by John Kitaoka, Ana Gosseen and Joseph Gramstad, 05/09/2024

Deploy LLMs in AWS GovCloud (US) Regions using Hugging Face Inference Containers
Automations

Build high-performance ML models using PyTorch 2.0 on AWS – Part 1

by Kanwaljit Khurmi, Lai Wei and Mike Schneider, 06/06/2023

Build high-performance ML models using PyTorch 2.0 on AWS – Part 1
Automations

Optimized PyTorch 2.0 inference with AWS Graviton processors

by Sunita Nadampalli, 05/03/2023

Optimized PyTorch 2.0 inference with AWS Graviton processors
Automations

Federated Learning on AWS with FedML: Health analytics without sharing sensitive data – Part 2

by Vidya Sagar Ravipati, Chaoyang He, Salman Avestimehr, Divya Bhargavi, Olivia Choudhury, Wajahat Aziz and Ujjwal Ratan, 01/13/2023

Federated Learning on AWS with FedML: Health analytics without sharing sensitive data – Part 2
Automations

Federated Learning on AWS with FedML: Health analytics without sharing sensitive data – Part 1

by Olivia Choudhury, Chaoyang He, Salman Avestimehr, Divya Bhargavi, Vidya Sagar Ravipati, Wajahat Aziz and Ujjwal Ratan, 01/13/2023

Federated Learning on AWS with FedML: Health analytics without sharing sensitive data – Part 1
Automations

Run machine learning inference workloads on AWS Graviton-based instances with Amazon SageMaker

by Zmnako Awrahman, Alan Tan, Sunita Nadampalli, Victor Hugo Jaramillo Velasquez and Johna Liu, 11/14/2022

Run machine learning inference workloads on AWS Graviton-based instances with Amazon SageMaker
Automations

Model hosting patterns in Amazon SageMaker, Part 7: Run ensemble ML models on Amazon SageMaker

by James Park, Vikram Elango and Saurabh Trikande, 10/18/2022

Model hosting patterns in Amazon SageMaker, Part 7: Run ensemble ML models on Amazon SageMaker

Video presentations

Introduction to Deep Learning

Learn about popular deep learning frameworks such as Apache MXNet and TensorFlow, and how to select the right fit for your targeted use cases.

Deep Learning with Apache MXNet and Gluon

Program deep learning models using Gluon, the intuitive, dynamic programming interface  for Apache MXNet.

Enabling Deep Learning in IoT applications with Apache MXNet

Learn how to use deep learning in IoT applications using Apache MXNet

Amazon SageMaker for machine learning

Learn more about Amazon Sagemaker

Amazon SageMaker is a fully-managed service that enables developers and data scientists to quickly and easily build, train, and deploy machine learning models at any scale. Amazon SageMaker removes all the barriers that typically slow down developers who want to use machine learning.

Learn more about Amazon SageMaker

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