< cd ../gallery
[AI & ML]

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.
defilantech
@defilantech
maintainer
★ 185 stars
go to website ↗github
llmkube — preview
LLMKube repository preview
# README
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. Maintained by defilantech on GitHub, where it has earned 185 stars from the community.
It's actively developed around ai, gguf, gpu, and is a solid reference for anyone building with these tools.
# tags
# install
npm install LLMKube
languages
Go98%
last commit4w ago
licenseApache-2.0
more vLLM repos

Ask MadeWithWhat

AI answers may contain mistakes — please double-check important details.