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.
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Per-day rates divide a measured star count by the days it covers: the interval between two snapshots for Rising fastest, the age of the repository for New and fast. They are not fixed 24-hour changes, and stars show interest, not quality.