The Vertex AI Pipelines Template Gallerycontains Google-authored pipeline templates and components, which you can use to create pipeline runs or embed in your own pipelines.

Create a pipeline run from the Template Gallery
Use the following instructions to create a pipeline run from a Google-authored template from the Template Gallery. Alternatively, you can create your own custom pipeline template and then create a pipeline run based on it. For more information about creating and using a custom pipeline template, see Create, upload, and use a pipeline template .
Console
Use the following instructions to create a pipeline run from the Template Gallery:
-
In the Google Cloud console, in the Vertex AIsection, go to the Template Gallerytab on the Pipelinespage.
-
Optional: To filter the list of pipeline templates, in the left pane, select the filter criteria. For example, to show only pipeline templates, select Templatesunder Type.
-
On the card corresponding to the template that you want to use, click Create runto open the Create pipeline runpage.
-
In the Run detailssection, do the following:
-
Optional: Modify the default Run namethat uniquely identifies the pipeline run.
-
Optional: To schedule recurring pipeline runs, specify the Run schedule, as follows:
-
Select Recurring.
-
Under Start time, specify when the schedule becomes active.
-
To schedule the first run to occur immediately after schedule creation, select Immediately.
-
To schedule the first run to occur at a specific time and date, select On.
-
-
In the Frequencyfield, specify the frequency to schedule and execute the pipeline runs, using a cron schedule expression based on unix-cron .
-
Under Ends, specify when the schedule ends.
-
To indicate that the schedule creates pipeline runs indefinitely, select Never.
-
To indicate that the schedule ends on a specific date and time, select On, and specify the end date and time for the schedule.
-
-
Optional: To specify that the pipeline run uses a custom service account, a customer-managed encryption key (CMEK), or a peered VPC network, click Advanced options, and then follow these instructions:
-
To specify a service account, select a service account from the Service accountdrop-down list.
If you don't specify a service account, Vertex AI Pipelines runs your pipeline using the default Compute Engine service account.
Learn more about configuring a service account for use with Vertex AI Pipelines .
-
To use a CMEK, select Use a customer-managed encryption key. The Select a customer-managed keydrop-down list appears. In the Select a customer-managed keydrop-down list, select the key that you want to use.
-
To use a peered VPC network in this pipeline run, enter the VPC network name in the Peered VPC networkbox.
-
-
-
Click Continue.
-
-
In the Runtime configurationsection, configure the pipeline run, as follows:
-
Under Cloud storage location, click Browseto select the Cloud Storage bucket for storing the pipeline output artifacts, and then click Select.
-
Optional: To configure the failure policy and the cache for the pipeline run, click Advanced options, and then use the following instructions:
-
Under Failure policy, specify the failure policy for the entire pipeline. Learn more about pipeline failure policies.
-
To configure the pipeline to continue scheduling tasks after one task fails, select Run all steps to completion. This option is selected, by default.
-
To configure the pipeline to fail after one task fails, select Fail this run as soon as one step fails.
-
-
Under Caching configuration, specify the cache configuration for the entire pipeline.
-
To use the task-level cache configuration for task in the pipeline, select Do not override task-level cache configuration.
-
To turn on caching for all the tasks in the pipeline and override any task-level cache configuration, select Enable read from cache for all steps (fastest).
-
To turn off caching for all the tasks in the pipeline and override any task-level cache configuration, select Disable read from cache for all steps (fastest).
-
-
-
Optional: If your pipeline has parameters, under Pipeline parameters, specify your pipeline run parameters.
-
-
To create your pipeline run, click Submit.

