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LLMKube is an open-source, Kubernetes-native platform for self-hosted LLM inference that lets you deploy and scale local LLMs on your own hardware (NVIDIA, Apple Silicon, AMD) using runtimes such as vLLM, llama.cpp, and TGI. It uses Foreman, a Kubernetes operator, to orchestrate coder, verifier, and reviewer agents across your fleet so changes are built, reviewed, and merged within your own infrastructure. It provides a declarative YAML workflow to deploy models with autoscaling, multi-runtime support, GPU offloading, and built-in inference metrics for production-grade hosting.
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Excerpts where LLMKube appeared in the AI's answer

LLMKube: A lighter-weight open-source Kubernetes operator that watches for custom inference service resources

LLMKube is an emerging, highly opinionated, single-purpose operator engineered explicitly to make self-hosted LLM hosting straightforward.