Changing GPU settings

The Red Hat® OpenShift® NVIDIA GPU Operator uses the operator framework within Kubernetes to automate the management of all NVIDIA software components that are needed to provision GPU.

Complete the steps to install the NVIDIA GPU operator if you plan to install Runtime 22.1 with Python 3.9 for GPU, Runtime 22.2 with Python 3.10 for GPU, or Watson™ Machine Learning Accelerator with your Cloud Pak for Data deployment.
Installation phase
You are not here. Setting up a client workstation
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You are here icon. Preparing your cluster
You are not here. Installing the Cloud Pak for Data platform and services
Who needs to complete this task?
A cluster administrator must complete this task.
When do you need to complete this task?
When you need to install the NVIDIA GPU Operator to manage GPU settings on a cluster that is connected to the internet or in an air-gapped environment.

Procedure

Complete the following steps to install the NVIDIA GPU Operator on a cluster that is connected to the internet to automate the management of all NVIDIA software components that are needed to provision GPU:
  1. Install the Node Feature Discovery Operator.
  2. Install the GPU Operator.

To install the NVIDIA GPU Operator on an air-gapped environment, see Deploy GPU Operators in a disconnected or airgapped environment.