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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.

QuantumFlow - Distributed LLM inference scheduling framework with multi-backend support (vLLM, TGI, SGLang), adaptive scheduling strategies, and cluster management.