k8s/apps/llm-serving/kustomization.yaml

apiVersion: kustomize.config.k8s.io/v1beta1
kind: Kustomization
namespace: llm-serving
resources:
  - namespace.yaml
  - storageclass.yaml
  - pvc-models.yaml
  - inferenceservice-reasoning.yaml
  - inferenceservice-ornith.yaml
  - inferenceservice-verifier.yaml
  - inferenceservice-embeddings.yaml
  - inferenceservice-reranker.yaml
  - networkpolicy.yaml
feat(gpu): serve 6 models on worker-1 via KServe — vLLM v0.11.0 (bitsandbytes) + Ollama + TEI, plus RuntimeClass/privileged-PSA prereqs and a local-NVMe StorageClass, working around Volta sm_70 limits 2026-08-13 07:02:53 -07:00			`apiVersion: kustomize.config.k8s.io/v1beta1`
			`kind: Kustomization`
			`namespace: llm-serving`
			`resources:`
			`- namespace.yaml`
			`- storageclass.yaml`
			`- pvc-models.yaml`
			`- inferenceservice-reasoning.yaml`
			`- inferenceservice-ornith.yaml`
			`- inferenceservice-verifier.yaml`
			`- inferenceservice-embeddings.yaml`
			`- inferenceservice-reranker.yaml`
			`- networkpolicy.yaml`