What is LLMKube v0.6.0?

Kubernetes operator for deploying any LLM inference engine—vLLM, TGI, llama.cpp, generics—with auto GPU scheduling and HPA.

How do I deploy vLLM with LLMKube?

YAML InferenceService with runtime: vllm, image, vllmConfig (maxModelLen etc.), kubectl apply. Probes and args auto-generated.

Does LLMKube support multi-GPU inference?

Yes, via custom GPU layer splits and tensor-parallel-size for vLLM.

🤖 Large Language Models

LLMKube Ditches llama.cpp Lock-In: vLLM, TGI, and Wildcards Now Live on K8s

LLMKube was the llama.cpp Kubernetes whisperer. Now? It's wide open for vLLM, TGI, even voice AI oddballs. Finally, one operator rules them all—or does it?

theAIcatchup Apr 08, 2026 3 min read

LLMKube dashboard showing vLLM and PersonaPlex deployments on Kubernetes cluster

⚡ Key Takeaways

LLMKube v0.6.0 adds pluggable RuntimeBackend for vLLM, TGI, PersonaPlex, generics—no more manual Deployments. 𝕏
Unified HPA metrics per runtime; autoscaling just works without tweaks. 𝕏
Pragmatic OSS evolution mirrors Kubernetes CRI—expect runtime contributor boom. 𝕏

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theAIcatchup

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#Kubernetes LLM #Kubernetes LLM deployment #Kubernetes inference #LLMKube #inference engines #llama.cpp #vLLM Kubernetes #vLLM on K8s #vllm

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Originally reported by dev.to

⚡ Key Takeaways

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