llm-d
Achieve state of the art inference performance with modern accelerators on Kubernetes observed · 2026-10-21
Health v2 · maintenance only
83/100
- Activity 100
- Release rhythm 88
- Longevity 38
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-10-21. Adoption (stars, forks) is never an input.
- gap_med: 34.0
- age_days: 539
- days_rel: 1
- days_push: 0
- n_releases_24m: 13
Adoption not part of the score
4891 stars · 867 forks observed · 2026-10-21
Summary
No AI-extracted summary yet.
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| llm-d/llm-d | main | 83 |
| llm-d/llm-d-router | backend | 87 |
| llm-d/llm-d-kv-cache | plugin | 87 |
| llm-d/llm-d-benchmark | examples | 83 |
| llm-d/llm-d-autoscaling | infra | 86 |
For agents
Data as of 2026-10-19T08:05:51.212177+00:00 · Report a problem