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, mo
- Stars
- 245
- Forks
- 40
- Open issues
- 120
- Last push
- today
LLMKube star history
+4 this week
About LLMKube
LLMKube is a free, open-source AI inference tool by defilantech, written mainly in Go. 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, mo. It has 245 GitHub stars and 40 forks, and was last updated today. It's released under the Apache-2.0 license, a standard open-source license. According to the project, it works on macOS.
- License
- Apache-2.0
- Commercial use
- Commercial OK
- Language
- Go
- Stars
- 245
- Last update
- today
- Runs on Mac
- Yes (as stated by the project)
- GPU
- Not stated
- Paid API key
- Not required
- Self-hostable
- Not stated
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LLMKube FAQ
Can I use LLMKube commercially?
Yes. Apache-2.0 is a permissive license: commercial use is allowed as long as you keep the license notice. This is a plain-English summary, not legal advice.
Is LLMKube free?
Yes. LLMKube is open source and free to use. It's released under the Apache-2.0 license, a standard open-source license.
Does LLMKube run on a Mac?
Yes. According to the project, LLMKube works on macOS.
Does LLMKube need a GPU?
The project doesn't state hardware needs. AI models generally run much faster with a GPU.
Is LLMKube still maintained?
Yes. It was last updated today and has 120 open issues on GitHub.
What are alternatives to LLMKube?
Similar free, open-source tools include llama.cpp, vllm, llm-action, kong.
Maintain LLMKube?
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