ENG-7635: Updates to clarify Red Hat support

modules/configuring-quota-management-for-distributed-workloads.adoc

@@ -38,13 +38,39 @@ For a complete list of the default notebook images and their preinstalled packag
 endif::[]
 
 * You have sufficient resources. In addition to the base {productname-short} resources, you need 1.6 vCPU and 2 GiB memory to deploy the distributed workloads infrastructure.
+
+ifndef::upstream[]
+* The resources are physically available in the cluster.
++
+[NOTE]
+====
+In {productname-short} {vernum}, {org-name} supports only a single cluster queue per cluster (that is, homogenous clusters), and only empty resource flavors.
+For more information about Kueue resources, see link:{rhoaidocshome}{default-format-url}/working_with_distributed_workloads/overview-of-distributed-workloads_distributed-workloads#overview-of-kueue-resources_distributed-workloads[Overview of Kueue resources].
+====
+endif::[]
+ifdef::upstream[]
 * The resources are physically available in the cluster.
 +
 [NOTE]
 ====
-{productname-short} currently supports only a single cluster queue per cluster (that is, homogenous clusters), and only empty resource flavors.
-For more information about Kueue resources, see the link:https://kueue.sigs.k8s.io/docs/concepts/[Kueue documentation].
+For more information about Kueue resources, see link:{odhdocshome}/working_with_distributed_workloads/#_overview-of-kueue-resources_distributed-workloads[Overview of Kueue resources].
+====
+endif::[]
+
+ifndef::upstream[]
+* If you want to use graphics processing units (GPUs), you have enabled GPU support in {productname-short}.
+See link:{rhoaidocshome}{default-format-url}/managing_resources/managing-cluster-resources_cluster-mgmt#enabling-gpu-support_cluster-mgmt[Enabling GPU support in {productname-short}].
++
+[NOTE]
+====
+In {productname-short} {vernum}, {org-name} supports only NVIDIA GPU accelerators for distributed workloads.
 ====
+endif::[]
+ifdef::upstream[]
+* If you want to use graphics processing units (GPUs), you have enabled GPU support.
+This process includes installing the Node Feature Discovery Operator and the NVIDIA GPU Operator.
+For more information, see https://docs.nvidia.com/datacenter/cloud-native/openshift/latest/index.html[NVIDIA GPU Operator on {org-name} OpenShift Container Platform^] in the NVIDIA documentation.
+endif::[]
 
 
 .Procedure
@@ -106,11 +132,7 @@ You must specify a quota for each resource that the user can request, even if th
 
 * Include the resource name in the `coveredResources` list.
 * Specify the resource `name` and `nominalQuota` in the `flavors.resources` section, even if the `nominalQuota` value is 0.
-+
-[NOTE]
-====
-In this release of {productname-short}, the only accelerators supported for distributed workloads are NVIDIA GPUs.
-====
+
 .. Apply the configuration to create the `cluster-queue` object:
 +
 [source,bash]

modules/configuring-the-distributed-workloads-components.adoc

@@ -32,7 +32,7 @@ endif::[]
 [NOTE]
 ====
 Mutual Transport Layer Security (mTLS) is enabled by default in the CodeFlare component in {productname-short}.
-In the current {productname-short} version, `submissionMode=K8sJobMode` is not supported in the Ray job specification, so the KubeRay Operator cannot create a submitter Kubernetes Job to submit the Ray job.
+{productname-short} {vernum} does not support the `submissionMode=K8sJobMode` setting in the Ray job specification, so the KubeRay Operator cannot create a submitter Kubernetes Job to submit the Ray job.
 Instead, users must configure the Ray job specification to set `submissionMode=HTTPMode` only, so that the KubeRay Operator sends a request to the RayCluster to create a Ray job.
 ====
 * You have access to the data sets and models that the distributed workload uses.
@@ -48,6 +48,11 @@ endif::[]
 ifndef::upstream[]
 * If you want to use graphics processing units (GPUs), you have enabled GPU support in {productname-short}.
 See link:{rhoaidocshome}{default-format-url}/managing_resources/managing-cluster-resources_cluster-mgmt#enabling-gpu-support_cluster-mgmt[Enabling GPU support in {productname-short}].
++
+[NOTE]
+====
+In {productname-short} {vernum}, {org-name} supports only NVIDIA GPU accelerators for distributed workloads.
+====
 endif::[]
 ifdef::upstream[]
 * If you want to use graphics processing units (GPUs), you have enabled GPU support.

modules/overview-of-kueue-resources.adoc

@@ -50,10 +50,14 @@ spec:
 
 ----
 
+
+ifndef::upstream[]
+
 [NOTE]
 ====
-{productname-short} currently supports only a single cluster queue per cluster (that is, homogenous clusters), and only empty resource flavors.
+In {productname-short} {vernum}, {org-name} supports only a single cluster queue per cluster (that is, homogenous clusters), and only empty resource flavors.
 ====
+endif::[]
 
 
 For more information about configuring resource flavors, see link:https://kueue.sigs.k8s.io/docs/concepts/resource_flavor/[Resource Flavor] in the Kueue documentation.

modules/running-distributed-data-science-workloads-disconnected-env.adoc

@@ -19,11 +19,9 @@ To run a distributed data science workload in a disconnected environment, you mu
 
 ifndef::upstream[]
 * You have created a data science project that contains a workbench, and the workbench is running a default notebook image that contains the CodeFlare SDK, for example, the *Standard Data Science* notebook. For information about how to create a project, see link:{rhoaidocshome}/working_on_data_science_projects/working-on-data-science-projects_nb-server#creating-a-data-science-project_nb-server[Creating a data science project].
-For a complete list of the default notebook images and their preinstalled packages, see the table in link:{rhoaidocshome}/working_on_data_science_projects/creating-and-importing-notebooks_notebooks#notebook-images-for-data-scientists_notebooks[Notebook images for data scientists].
 endif::[]
 ifdef::upstream[]
 * You have created a data science project that contains a workbench, and the workbench is running a default notebook image that contains the CodeFlare SDK, for example, the *Standard Data Science* notebook. For information about how to create a project, see link:{odhdocshome}/working-on-data-science-projects/#_using_data_science_projects[Creating a data science project].
-For a complete list of the default notebook images and their preinstalled packages, see the table in link:{odhdocshome}/working-on-data-science-projects/#_using_data_science_projects[Notebook images for data scientists].
 endif::[]
 
 * You have Admin access for the data science project.