defilantech/LLMKube
Kubernetes operator for self-hosted LLM inference across a heterogeneous GPU fleet: NVIDIA CUDA, AMD Vulkan, and Apple Silicon Metal. Runtimes: llama.cpp, vLLM, TGI, mlx-server. Multi-GPU sharding, model caching, OpenAI-compatible endpoints. Apache-2.0, run across homelab and on-prem fleets, actively developed.
196
Stars
30
Forks
46.8
Radar Score
Rising
Momentum
Scoring Breakdown
Impact38.5
Velocity49.7
Health56.0
Growth Metrics
7-Day Stars
+0
30-Day Stars
+0
Acceleration
x
Language
Go
Why it ranks
Steady growth — consistently collecting stars and contributors.
Local AI · local runnerTop 47% globally
Popular Alternatives & Competitors
Top projects in the same category (Local AI) — compare side by side.
🛡️ Enterprise Readiness & Commercial Safety
Organic Growth
93%
High Confidence
License
Permissive (Commercial Friendly)
Safe for commercial use, modification, and distribution.
Health Grade
A
Based on maintenance, issue response, and release cadence.
Radar Score
46.8
Composite of Impact, Velocity, and Health.
Disclaimer: This is an automated heuristic assessment based on public GitHub signals. Always perform your own security audit, dependency review, and legal compliance check before production deployment.
Share & Embed
Display live Radar metrics in your documentation, website, or social profiles.