🎉 LLMKube just hit 150 stars — thank you

[Defilan]

We just crossed 150 ⭐ on LLMKube. Thank you to everyone running local LLM inference on Kubernetes with us.

A specific thank-you to the contributors who've shaped the project:

@joryirving · @matiasinsaurralde · @arychj · @Faylixe · @eleboucher · @mircea-pavel-anton · @castorinop · @adebrie

...and to everyone who's filed an issue, opened a PR, tested on their own hardware, or starred to say this matters.

Where we are: one operator, your hardware: NVIDIA (CUDA), Apple Silicon (Metal), and AMD (Vulkan).

What's next: a ROCm tier on top of today's AMD/Vulkan support, agentic coding on local models, and making a heterogeneous fleet trustworthy end to end.

If you're self-hosting LLMs (or want to), jump in: issues, discussions, and PRs all welcome.

[matiasinsaurralde]

Thanks, keep shipping!