manifests/ollama/values.yaml

@@ -1,35 +1,15 @@
 service:
   type: ClusterIP
 
-# Enable GPU support
-ollama:
-  gpu:
-    enabled: true
-    type: nvidia
-    number: 1
-
 resources:
   requests:
+    cpu: 250m
+    memory: 1Gi
+  limits:
     cpu: 2
     memory: 4Gi
-  limits:
-    cpu: 4
-    memory: 8Gi
-
-# Schedule on GPU worker node
-nodeSelector:
-  kubernetes.io/hostname: k3s-worker-5-gpu
-
-# Tolerate GPU node taint
-tolerations:
-  - key: gpu
-    operator: Exists
-    effect: NoSchedule
-  - key: nvidia.com/gpu
-    operator: Exists
-    effect: NoSchedule
 
 persistentVolume:
   enabled: true
-  size: 50Gi
-  storageClass: local-path
+  size: 30Gi
+  storageClass: nfs-client

manifests/open-webui/values.yaml

@@ -1,17 +1,16 @@
 service:
   type: ClusterIP
 
-# IMPORTANT: disable the embedded Ollama that the chart can deploy
-ollama:
-  enabled: false
+env:
+  - name: OLLAMA_BASE_URL
+    value: http://ollama.ai-stack.svc.cluster.local:11434
 
-# IMPORTANT: set BOTH vars to your existing Ollama service
 extraEnvVars:
   - name: OLLAMA_BASE_URL
     value: http://ollama:11434
   - name: OLLAMA_BASE_URLS
     value: http://ollama:11434
-
+    
 resources:
   requests:
     cpu: 100m
@@ -19,21 +18,3 @@ resources:
   limits:
     cpu: 500m
     memory: 1Gi
-
-persistence:
-  enabled: true
-  storageClass: local-path
-  size: 2Gi
-
-# Schedule on GPU worker node (same as Ollama for low latency)
-nodeSelector:
-  kubernetes.io/hostname: k3s-worker-5-gpu
-
-# Tolerate GPU node taint
-tolerations:
-  - key: gpu
-    operator: Exists
-    effect: NoSchedule
-  - key: nvidia.com/gpu
-    operator: Exists
-    effect: NoSchedule