Alauda AI

Upgrade Alauda AI

INFO

Upgrade from 1.4 to 1.5

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Install Alauda AI Cluster Components

Please visit Alauda AI Cluster for:

WARNING

Please ignore Creating Alauda AI Cluster Instance since we are upgrading Alauda AI from a previously managed version.

  1. Downloading operator bundle packages for Alauda AI Cluster and KServeless.
  2. Uploading operator bundle packages to the destination cluster.
  3. To upgrade, follow the process described below.

Upgrading

The following procedure describes how to upgrade from Alauda AI 1.4 to 1.5.

Upgrade Alauda AI Essentials

Upgrade Alauda AI Essentials in the Functional Components tab of the global cluster.

In the Administrator view, navigate to Clusters / Cluster in the left navigation, find the global cluster in the right panel, and click the Upgrade button on the Functional Components tab page to trigger the upgrade.

INFO

All components that require upgrading, including Alauda AI Essentials, will be upgraded together and cannot be upgraded individually.

After the upgrade is complete, please confirm that the status of Alauda AI Essentials in the list is Running and the version is v1.5.x.

Upgrading Alauda AI Operators

The procedure for upgrading both operators is nearly identical, with only the target component being different.

StepAlauda AI OperatorAlauda AI Model Serving Operator
1. NavigateLog into the Web Console, then go to Marketplace > OperatorHub in the Administrator view.Log into the Web Console, then go to Marketplace > OperatorHub in the Administrator view.
2. SelectSelect your target cluster.Select your target cluster.
3. ClickClick the Alauda AI card.Click the Alauda AI Model Serving card.
4. ConfirmClick Confirm on the upgrade prompt.Click Confirm on the upgrade prompt.
INFO

Once the new version is uploaded and recognized by the platform, an upgrade prompt will appear at the top of the operator's page.

Verification

Alauda AI

Check the status field from the AmlCluster resource which named default:

kubectl get amlcluster default

Should returns Ready:

NAME      READY   REASON
default   True    Succeeded

Alauda AI Model Serving

Check the status field from the KnativeServing resource which named default-knative-serving:

kubectl get KnativeServing.components.aml.dev default-knative-serving

Should returns InstallSuccessful:

NAME                      DEPLOYED   REASON
default-knative-serving   True       UpgradeSuccessful