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Removed kustomization config as it is redundant
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deployment/README.md

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@@ -4,12 +4,6 @@ This guide provides instructions for deploying the MaaS Platform infrastructure
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## Prerequisites
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- **OpenShift** (4.19+) with OpenDataHub (ODH) or Red Hat OpenShift AI (RHOAI) installed
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- Note: Kubernetes support is experimental and requires additional configuration
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- **kubectl** configured to access your cluster
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- **kustomize** (5.7+) - older versions have critical bugs
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- **jq** for JSON processing
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- **oc** CLI for OpenShift clusters
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- **ODH/RHOAI requirements**:
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- KServe enabled in DataScienceCluster
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- Service Mesh installed (automatically installed with ODH/RHOAI)

deployment/samples/models/kserve-service-account.yaml

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deployment/samples/models/kustomization.yaml

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deployment/samples/models/qwen3/kserve-service-account.yaml

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# KServe ServiceAccount for the llm namespace
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#
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# This ServiceAccount is required for InferenceService resources to function properly.
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# While KServe controller manages its own service accounts in the kserve namespace,
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# it does NOT automatically create service accounts in user namespaces.
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#
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# This ServiceAccount:
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# - Must be created before deploying InferenceService resources
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# - Binds to the kserve-manager-role for necessary permissions
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# - Is referenced by all InferenceService specs in this namespace
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#
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apiVersion: v1
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kind: ServiceAccount
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metadata:

deployment/samples/models/simulator/kserve-service-account.yaml

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# KServe ServiceAccount for the llm namespace
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#
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# This ServiceAccount is required for InferenceService resources to function properly.
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# While KServe controller manages its own service accounts in the kserve namespace,
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# it does NOT automatically create service accounts in user namespaces.
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#
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# This ServiceAccount:
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# - Must be created before deploying InferenceService resources
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# - Binds to the kserve-manager-role for necessary permissions
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# - Is referenced by all InferenceService specs in this namespace
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#
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apiVersion: v1
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kind: ServiceAccount
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metadata:

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