feat(csi): add CSI manifests

csi/GET_STARTED.md

@@ -26,7 +26,7 @@ We assume all [prerequisites](#prerequisites) are satisfied at this point.
 
 3. Setup local deployment of *Kserve* using the provided *Kserve quick installation* script
     ```bash
-    curl -s "https://raw.githubusercontent.com/kserve/kserve/release-0.12/hack/quick_install.sh" | bash
+    curl -s "https://raw.githubusercontent.com/kserve/kserve/release-0.14/hack/quick_install.sh" | bash
     ```
 
 4. Install *model registry* in the local cluster
@@ -257,5 +257,5 @@ EOF
     If you do not have DNS, you can still curl with the ingress gateway external IP using the HOST Header.
     ```bash
     SERVICE_HOSTNAME=$(kubectl get inferenceservice iris-model -n kserve-test -o jsonpath='{.status.url}' | cut -d "/" -f 3)
-    curl -v -H "Host: ${SERVICE_HOSTNAME}" -H "Content-Type: application/json" "http://${INGRESS_HOST}:${INGRESS_PORT}/v1/models/iris-v1:predict" -d @/tmp/iris-input.json
+    curl -v -H "Host: ${SERVICE_HOSTNAME}" -H "Content-Type: application/json" "http://${INGRESS_HOST}:${INGRESS_PORT}/v1/models/iris-model:predict" -d @/tmp/iris-input.json
     ```

manifests/kustomize/options/csi/clusterstoragecontainer.yaml

@@ -0,0 +1,20 @@
+apiVersion: "serving.kserve.io/v1alpha1"
+kind: ClusterStorageContainer
+metadata:
+  name: model-registry-storage-initializer-2
+spec:
+  container:
+    name: storage-initializer
+    image: kubeflow/model-registry-storage-initializer:latest
+    env:
+    - name: MODEL_REGISTRY_BASE_URL
+      value: "model-registry-service.kubeflow.svc.cluster.local:8080"
+    resources:
+      requests:
+        memory: 100Mi
+        cpu: 100m
+      limits:
+        memory: 1Gi
+        cpu: "1"
+  supportedUriFormats:
+    - prefix: model-registry://

manifests/kustomize/options/csi/kustomization.yaml

@@ -0,0 +1,6 @@
+apiVersion: kustomize.config.k8s.io/v1beta1
+kind: Kustomization
+namespace: kubeflow
+
+resources:
+- clusterstoragecontainer.yaml