LambdaLabsML / distributed-training-guide

Best practices & guides on how to write distributed pytorch training code

Date Created 2024-07-31 (5 months ago)

Commits 238 (last one 14 days ago)

Stargazers 322 (3 this week)

Watchers 7 (0 this week)

Forks 22

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RepositoryStats indexes 598,436 repositories, of these LambdaLabsML/distributed-training-guide is ranked #128,363 (79th percentile) for total stargazers, and #272,132 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #22,061/120,139.

LambdaLabsML/distributed-training-guide is also tagged with popular topics, for these it's ranked: pytorch (#1,871/6033), gpu (#315/919), cuda (#228/654)

Other Information

LambdaLabsML/distributed-training-guide has 1 open pull request on Github, 3 pull requests have been merged over the lifetime of the repository.

Github issues are enabled, there are 3 open issues and 37 closed issues.

All Topics

gpu mpi cuda fsdp nccl slurm cluster pytorch sharding deepspeed kuberentes lambdalabs gpu-cluster distributed-training

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238 commits on the default branch (main) since jan '22

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updated: 2024-12-30 @ 04:09am, id: 836331773 / R_kgDOMdlo_Q