Upgrading Runtime 22.2 on Python 3.10 with GPU from Version 4.6.x to a later 4.6 refresh

A project administrator can upgrade Runtime 22.2 on Python 3.10 with GPU from one Cloud Pak for Data Version 4.6 refresh to a later 4.6 refresh.

What permissions do you need to complete this task?

The permissions that you need depend on which tasks you must complete:

To upgrade Runtime 22.2 on Python 3.10 with GPU, you must be an administrator of the project where Runtime 22.2 on Python 3.10 with GPU is installed. This project is identified by the ${PROJECT_CPD_INSTANCE} environment variable.

When do you need to complete this task?: If you didn't upgrade Runtime 22.2 on Python 3.10 with GPU when you upgraded the platform, you can complete this task to upgrade your existing Runtime 22.2 on Python 3.10 with GPU installation.
If you want to upgrade all of the Cloud Pak for Data components at the same time, follow the process in Upgrading the platform and services instead.

Important: All of the Cloud Pak for Data components in a deployment must be installed at the same release.

Information you need to complete this task

Review the following information before you upgrade Runtime 22.2 on Python 3.10 with GPU:

Environment variables

The commands in this task use environment variables so that you can run the commands exactly as written.

If you don't have the script that defines the environment variables, see Setting up installation environment variables.
To use the environment variables from the script, you must source the environment variables before you run the commands in this task, for example:
```
source ./cpd_vars.sh
```

Installation location: Runtime 22.2 on Python 3.10 with GPU is installed in the same project (namespace) as the Cloud Pak for Data control plane. This project is identified by the ${PROJECT_CPD_INSTANCE} environment variable.

Storage requirements: You don't need to specify storage when you upgrade Runtime 22.2 on Python 3.10 with GPU.

Before you begin

This task assumes that the following prerequisites are met:

Prerequisite	Where to find more information
The cluster meets the minimum requirements for Runtime 22.2 on Python 3.10 with GPU.	If this task is not complete, see System requirements.
The workstation from which you will run the upgrade is set up as a client workstation and the `cpd-cli` has the latest version of the `olm-utils-play` image.	If this task is not complete, see Updating client workstations.
The Cloud Pak for Data control plane is upgraded.	If this task is not complete, see Upgrading the platform and services.
For environments that use a private container registry, such as air-gapped environments, the Runtime 22.2 on Python 3.10 with GPU software images are mirrored to the private container registry.	If this task is not complete, see Mirroring images to a private container registry.

Prerequisite services

Before you upgrade Runtime 22.2 on Python 3.10 with GPU, ensure that the following services are upgraded and running:

Procedure

Complete the following tasks to upgrade Runtime 22.2 on Python 3.10 with GPU:

Logging in to the cluster
Upgrading the service
Validating the upgrade
What to do next

Logging in to the cluster

To run cpd-cli manage commands, you must log in to the cluster.

Run the cpd-cli manage login-to-ocp command to log in to the cluster as a user with sufficient permissions to complete this task. For example:
```
cpd-cli manage login-to-ocp \
--username=${OCP_USERNAME} \
--password=${OCP_PASSWORD} \
--server=${OCP_URL}
```
Tip: The login-to-ocp command takes the same input as the oc login command. Run oc login --help for details.

Upgrading the service

Who needs to complete this task?: You must be an administrator of the project where Runtime 22.2 on Python 3.10 with GPU is installed.

When do you need to complete this task?: Complete this task for each instance of Runtime 22.2 on Python 3.10 with GPU that is associated with an instance of Cloud Pak for Data Version 4.6.

To upgrade the service:

Update the custom resource for Runtime 22.2 on Python 3.10 with GPU

cpd-cli manage apply-cr \
--components=ws_runtimes \
--release=${VERSION} \
--cpd_instance_ns=${PROJECT_CPD_INSTANCE} \
--extra-vars="cr_name=ibm-cpd-ws-runtime-222-pygpu" \
--license_acceptance=true \
--upgrade=true

Validating the upgrade

You can optionally run the cpd-cli manage get-cr-status command if you want to confirm that the custom resource status is Completed:

cpd-cli manage get-cr-status \
--cpd_instance_ns=${PROJECT_CPD_INSTANCE} \
--components=ws_runtimes

What to do next

If you are using custom runtime images in Watson Studio, you must create and register these images again after you have upgraded Cloud Pak for Data to rebase the image with the latest Cloud Pak for Data runtime image. See Building custom images.

The service is ready to use. For details, see Notebook environments.