pytorch/gloo
Collective communications library with various primitives for multi-machine training. observed · 2026-08-28
Health v2 · maintenance only
76/100
- Activity 98
- Release rhythm 35
- Longevity 100
Flags: no_releases no_license
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 3499
- days_rel: n/a
- days_push: 12
- n_releases_24m: 0
Adoption not part of the score
1447 stars · 363 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
Gloo is a C++ collective communications library providing primitives like barrier, broadcast, and allreduce for multi-machine machine learning training. It abstracts transport over IP or InfiniBand (with GPUDirect support) and integrates with PyTorch's distributed package.
Use cases
- run distributed training across multiple machines
- perform allreduce synchronization between training workers
- broadcast tensors to cluster nodes
- accelerate GPU-to-GPU transfers with InfiniBand and GPUDirect
- use torch.distributed backend on CPU-only clusters
- coordinate rendezvous between machines via Redis or MPI
When to choose
- you need a CPU-friendly distributed backend for PyTorch
- your cluster uses IP or InfiniBand transports
- you need collective algorithms like allreduce or broadcast in C++
When to avoid
- you need cutting-edge GPU collectives (prefer NCCL)
- you need active development of new features (Gloo is maintenance-only)
- you are on Windows or macOS (Gloo targets Linux)
Facets
library · maturity maintenance
machine-learning gpu-computing networking machine-learning microservices deep-learning cpp collective-communications distributed-training allreduce infiniband nccl pytorch linux gpu
3 sources
- readme: https://github.com/pytorch/gloo · fetched 2026-08-28 · b0191b2a846a
- homepage: https://pytorch.org/docs/stable/distributed.html · fetched 2026-08-29 · 01dea697ee0b
- site_page: https://docs.pytorch.org/docs/2.13/distributed.html · fetched 2026-08-29 · 4fe6c00b4529
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| pytorch/gloo | main | 76 |
For agents
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem