July 2023

6 July

What's new

AI Units per tenant

We are excited to announce the release of the AI Units per tenant feature. You can now allocate and track AI Units consumption at tenant level as well. In order to benefit from this change, make sure that you redeploy any running skills for the changes occur. If there are any running pipelines, they will still consume AI Units at account level until the changes occur.

Note: By default, each tenant is allocated 0 AI units, and all AI units are consumed from the account pool. To make use of this feature, assign AI units limits to each tenant. The tenant will start consuming AI units from its tenant pool until it reaches 0, and at this point new pipelines and new skill deployments will fail. Existing deployments will continue to run.

Improvements

• The size of the userName and email fields is increased to 256 characters.
• Validation is added for the required fields in the Out of Box labeling template.
• The MLSkill.DeploymentFailed error is no longer triggered when a skill is canceled by the user.

Bug fixes

Fixed an issue where the number of logs in ML Logs was larger than the number of streaming logs for Pipelines.

When can I see these changes?

The date when a change is first announced in the release notes is the date when it first becomes available.If you don't see the change yet, you can expect to see it soon, after we roll out changes to all the regions.

More information