Red Hat SummitChapter 5. Allocating additional resources to OpenShift AI users
As a cluster administrator, you can allocate additional resources to a cluster to support compute-intensive data science work. This support includes increasing the number of nodes in the cluster and changing the cluster’s allocated machine pool.
Prerequisites
- You have credentials for administering clusters in OpenShift Cluster Manager (https://console.redhat.com/openshift/). For more information about configuring administrative access in OpenShift Cluster Manager, see Configuring access to clusters in OpenShift Cluster Manager.
- If you intend to increase the size of a machine pool by using accelerators, you have enabled GPU support in OpenShift AI. This includes installing the Node Feature Discovery Operator and NVIDIA GPU Operator. For more information, see Installing the Node Feature Discovery Operator and Enabling NVIDIA GPUs.
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You have an AWS or GCP instance with the capacity to create larger container sizes. For compute-intensive operations, your AWS or GCP instance has enough capacity to accommodate the largest container size,
XL.
Procedure
- Log in to OpenShift Cluster Manager (https://console.redhat.com/openshift/).
Click Cluster List.
The Cluster List page opens.
- Click the name of the cluster you want to allocate additional resources to.
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Click Actions
Edit node count. - Select a Machine pool from the list.
- Select the number of nodes assigned to the machine pool from the Node count list.
- Click Apply.
Verification
- The additional resources that you allocated to the cluster appear on the Machine Pools tab.
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