LambdaLabsML / distributed-training-guide

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

Date Created 2024-07-31 (3 months ago)

Commits 230 (last one 18 hours ago)

Stargazers 287 (3 this week)

Watchers 7 (0 this week)

Forks 19

License mit

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RepositoryStats indexes 584,353 repositories, of these LambdaLabsML/distributed-training-guide is ranked #137,477 (76th percentile) for total stargazers, and #269,279 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #23,716/116,326.

LambdaLabsML/distributed-training-guide is also tagged with popular topics, for these it's ranked: pytorch (#1,972/5948), gpu (#334/900), cuda (#234/635)

Other Information

LambdaLabsML/distributed-training-guide has 2 open pull requests on Github, 3 pull requests have been merged over the lifetime of the repository.

Github issues are enabled, there are 5 open issues and 34 closed issues.

All Topics

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

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

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updated: 2024-11-20 @ 05:42pm, id: 836331773 / R_kgDOMdlo_Q