feat: upgrade OpenShift AI layer to RHOAI 3.4 GA - #54
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- Switch subscription channel from fast-3.x to stable-3.x (resolves to 3.4.0) - Bump DataScienceCluster and DSCInitialization CRDs to API v2 - Rename datasciencepipelines component to aipipelines - Add mlflowoperator component (GA in 3.4, default Removed) - Enable modelregistry by default (GA, default-on in fresh 3.4 installs) - Install Red Hat build of Kueue Operator (new Stage 3) with DSC kueue component set to Unmanaged for external integration - Bump NVIDIA GPU Operator channel from v24.9 to v26.3 - Remove obsolete serviceMesh section from DSCInitialization (not needed with RawDeployment mode in RHOAI v3+) - Add openshift_ai_install_kueue toggle for Kueue operator install BREAKING CHANGE: Users overriding datasciencepipelines in openshift_ai_components must rename to aipipelines. Co-authored-by: Cursor <cursoragent@cursor.com>
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Summary
stable-3.xchannel)kueueset toUnmanaged)modelregistryby default (now GA and default-on in fresh 3.4 installs)datasciencepipelinestoaipipelines(upstream rename)mlflowoperatorcomponent (GA in 3.4, default Removed -- requires external DB/S3)Breaking Changes
Users who override
datasciencepipelinesin theiropenshift_ai_componentsvariable must rename the key toaipipelines.Test plan
terraform validatepasses on all 4 environments (commercial-hcp, govcloud-hcp, commercial-classic, govcloud-classic)stable-3.xopenshift-kueue-operatornamespaceopenshift_ai_install_kueue = falsedisables Kueue stageMade with Cursor