awsome-distributed-training

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

aws

View on GitHub

337 Stars

141 Forks

337 Watchers

Shell Language

mit-0 License

Cost to Build

$7.31M

Market Value

$24.49M

How is this calculated?

Growth over time

1 data points · 2025-09-15 → 2025-09-15

Stars Forks Watchers

💬

How do you feel about this project?

Ask AI about awsome-distributed-training

Question copied to clipboard

What is the aws-samples/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/aws-samples/awsome-distributed-training.git

Clone via SSH

[email protected]:aws-samples/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

data-science-ipython-notebooks saws aws-doc-sdk-examples sensu-plugins-aws apex retinal up dev-setup zentral lambda-packs learning-tools amazon-sagemaker-examples awesome-aws chalice serverless-application-model aws-sam-cli aws-mobile-react-native-starter serverless-express cloud-custodian serverless-chrome streamalert MoonMail aws-serverless-workshops aws-lambda-go-shim dawson-cli aws-lambda-go binaryalert lambda-packages aws-mobile-react-sample stopstalk-deployment