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Chapter 7. Resolved issues
The following notable issues are resolved in Red Hat OpenShift AI 2.18. Security updates, bug fixes, and enhancements for Red Hat OpenShift AI 2.18 are released as asynchronous errata. All OpenShift AI errata advisories are published on the Red Hat Customer Portal.
7.1. Issues resolved in Red Hat OpenShift AI 2.18 (March 2025)
RHOAIENG-19711 - Kueue-controller-manager uses old metrics port after upgrade from 2.16.0 to 2.17.0
Previously, after upgrading, the Kueue Operator continued to use the old port (8080) instead of the new port (8443) for metrics. As a result, the OpenShift console Observe > Targets page showed that the status of the Kueue Operator was Down. This issue is now resolved.
RHOAIENG-19261 - The TrustyAI installation might fail due to missing custom resource definitions (CRDs)
Previously, when installing or upgrading OpenShift AI, the TrustyAI installation might have failed due to missing InferenceService and ServingRuntime CRDs. As a result, the Trusty AI controller went into the CrashLoopBackOff state. This issue is now resolved.
RHOAIENG-18933 - Increased workbench image size can delay workbench startup
Previously, as a result of the presence of the kubeflow-training Python SDK in the 2024.2 workbench images, the workbench image size was increased and may have caused a delay when starting the workbench. This issue is now resolved.
RHOAIENG-18884 - Enabling NIM account setup is incomplete
Previously, when you tried to enable the NVIDIA NIM model serving platform, the odh-model-controller deployment started before the NIM account setup was complete. As a result, the NIM account setup was incomplete and the platform was not enabled. This issue is now resolved.
RHOAIENG-18675 - Workbenches component fails after upgrading
Previously, when upgrading to OpenShift AI 2.18, the workbench component did not upgrade correctly. Specifically, BuildConfigs and resources that follow it (for example, RStudio BuildConfigs and ROCm imagestreams) were not updated, which caused the workbench component reconciliation in the DataScienceCluster to fail. This issue is now resolved.
RHOAIENG-15123 (also documented as RHOAIENG-10790 and RHOAIENG-14265) - Pipelines schedule might fail after upgrading
Previously, when you upgraded to OpenShift AI 2.18, any data science pipeline scheduled runs that existed before the upgrade might fail to execute, resulting in an error message in the task pod. This issue is now resolved.
