Rank #810 · on radar since 2026-07-03
ai-infra-projects
Hands-on AI infrastructure projects for DevOps, SRE, and platform engineers. Learn MLOps, LLMOps, and GPU-on-Kubernetes by building real systems — model serving with vLLM, ML pipelines, GPU autoscaling, and production inference platforms.
Visit homepage ↗aiopsvllmdevopsmodel-serving+8
Momentum
42.2
24h–7d–
Why it's ranked
Every score decomposes into published factors — the same math for every tool, paid or not. Read the methodology →
| Velocity (weighted, cohort-normalized) | 0.438 |
| Signal decay | 0.995 |
| Corroboration | 1.000 |
| Quality gate | 1.000 |
Raw signals (30 days)
github · forks0 latest · 2 snapshots
github · stars3 latest · 2 snapshots