RHOAI-26067 DSP reqs for FIPS (#803)

Author: aduquett

modules/defining-a-pipeline.adoc

@@ -6,6 +6,11 @@
 [role='_abstract']
 The Kubeflow Pipelines SDK enables you to define end-to-end machine learning and data pipelines. Use the latest Kubeflow Pipelines 2.0 SDK to build your data science pipeline in Python code. After you have built your pipeline, use the SDK to compile it into an Intermediate Representation (IR) YAML file. After defining the pipeline, you can import the YAML file to the {productname-short} dashboard to enable you to configure its execution settings.
 
+[IMPORTANT]
+====
+If you are using {productname-short} on a cluster running in FIPS mode, any custom container images for data science pipelines must be based on UBI 9 or RHEL 9. This ensures compatibility with FIPS-approved pipeline components and prevents errors related to mismatched OpenSSL or GNU C Library (glibc) versions.
+====
+
 ifdef::upstream[]
 You can also use the Elyra JupyterLab extension to create and run data science pipelines within JupyterLab. For more information about the Elyra JupyterLab extension, see link:https://elyra.readthedocs.io/en/stable/getting_started/overview.html[Elyra Documentation].
 endif::[]

modules/installing-the-odh-operator-v2.adoc

@@ -26,6 +26,7 @@ Argo Workflows resources that are created by {productname-short} have the follow
     app.opendatahub.io/data-science-pipelines-operator: 'true'
 ----
 ====
+* If you are using {productname-short} on a cluster running in FIPS mode, any custom container images for data science pipelines must be based on UBI 9 or RHEL 9. This ensures compatibility with FIPS-approved pipeline components and prevents errors related to mismatched OpenSSL or GNU C Library (glibc) versions.
 
 .Procedure
 . Log in to your OpenShift Container Platform as a user with `cluster-admin` privileges. If you are performing a developer installation on link:http://try.openshift.com[try.openshift.com], you can log in as the `kubeadmin` user.