Jesse A. Green / notebook

NousResearch/DisTrO

DisTrO (Distributed Training Over-the-Internet) is a family of architecture-agnostic and network-agnostic distributed optimizers that reduce inter-GPU communication during neural network training by four to five orders of magnitude.

Generated May 2026 from NousResearch/DisTrO at 24f1062

AI-generated documentation. The library is checked by sampling (three repositories so far); this guide was not individually reviewed. Verify against the project before relying on it.

Guides

Source and caveats

Built from the public repository github.com/NousResearch/DisTrO at commit 24f1062. Upstream may have moved on since.

Unofficial; not affiliated with or reviewed by the project. How the guides were made, and how they were checked: guide library.