awsome-distributed-training

Collection of best practices, reference architectures, model training examples and utilities to train large models on AWS.

aws

View on GitHub

407 Stars

183 Forks

407 Watchers

Shell Language

mit-0 License

100 SrcLog Score

Cost to Build

$855.0K

Market Value

$3.96M

How is this calculated?

Growth over time

3 data points · 2025-09-15 → 2026-04-20

Stars Forks Watchers

💬

How do you feel about this project?

Ask AI about awsome-distributed-training

Question copied to clipboard

What is the awslabs/awsome-distributed-training GitHub project? Description: "Collection of best practices, reference architectures, model training examples and utilities to train large models on AWS. ". Written in Shell. Explain what it does, its main use cases, key features, and who would benefit from using it.

Question is copied to clipboard — paste it after the AI opens.

How to clone awsome-distributed-training

Clone via HTTPS

git clone https://github.com/awslabs/awsome-distributed-training.git

Clone via SSH

[email protected]:awslabs/awsome-distributed-training.git

Download ZIP

Download master.zip

Found an issue?

Report bugs or request features on the awsome-distributed-training issue tracker:

Open GitHub Issues

Similar to awsome-distributed-training

serverless data-science-ipython-notebooks localstack apex aws-cli awesome-aws up chalice aws-sdk-js aws-sdk-go aws-shell awless dev-setup saws boto3 kubespray serverless-application-model caprover amplify-js awesome-kubernetes practicalnode aws-sam-cli go-cloud claudia security_monkey aws-sdk-ruby aws-sdk-java ice empire docker-curriculum