How to Train Large Models on Many GPUs?

This page summarizes the projects mentioned and recommended in the original post on news.ycombinator.com

Our great sponsors
  • WorkOS - The modern identity platform for B2B SaaS
  • InfluxDB - Power Real-Time Data Analytics at Scale
  • SaaSHub - Software Alternatives and Reviews
  • DeepSpeed

    DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

    DeepSpeed [1] is amazing tool to enable the different kind of parallelisms and optimizations on your model. I would definitely not recommend reimplementing everything yourself.

    Probably FairScale [2] too, but never tried it myself.

    [1]: https://github.com/microsoft/DeepSpeed

    [2]: https://github.com/facebookresearch/fairscale

  • fairscale

    PyTorch extensions for high performance and large scale training.

    DeepSpeed [1] is amazing tool to enable the different kind of parallelisms and optimizations on your model. I would definitely not recommend reimplementing everything yourself.

    Probably FairScale [2] too, but never tried it myself.

    [1]: https://github.com/microsoft/DeepSpeed

    [2]: https://github.com/facebookresearch/fairscale

  • WorkOS

    The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

Suggest a related project

Related posts