gcloud alpha ai endpoints undeploy-model - undeploy a model from an existing Vertex AI endpoint
gcloud alpha ai endpoints undeploy-model (ENDPOINT : --region=REGION) --deployed-model-id=DEPLOYED_MODEL_ID [--traffic-split=[DEPLOYED_MODEL_ID=VALUE,...]] [GCLOUD_WIDE_FLAG ...]
To undeploy a model 456 from an endpoint 123 under project example in region us-central1, run:
$ gcloud alpha ai endpoints undeploy-model 123 --project=example \ --region=us-central1 --deployed-model-id=456
- Endpoint resource - The endpoint to undeploy a model from. The arguments in
this group can be used to specify the attributes of this resource. (NOTE) Some attributes are not given arguments in this group but can be set in other ways. To set the project attribute:
- —
provide the argument endpoint on the command line with a fully specified name;
- —
provide the argument --project on the command line;
- —
set the property core/project.
This must be specified.
- ENDPOINT
ID of the endpoint or fully qualified identifier for the endpoint. To set the name attribute:
provide the argument endpoint on the command line.
This positional argument must be specified if any of the other arguments in this group are specified.
- --region=REGION
Cloud region for the endpoint. To set the region attribute:
provide the argument endpoint on the command line with a fully specified name;
provide the argument --region on the command line;
set the property ai/region;
choose one from the prompted list of available regions.
- --deployed-model-id=DEPLOYED_MODEL_ID
Id of the deployed model.
- --traffic-split=[DEPLOYED_MODEL_ID=VALUE,...]
List of pairs of deployed model id and value to set as traffic split.
These flags are available to all commands: --access-token-file, --account, --billing-project, --configuration, --flags-file, --flatten, --format, --help, --impersonate-service-account, --log-http, --project, --quiet, --trace-token, --user-output-enabled, --verbosity.
Run $ gcloud help for details.
This command is currently in alpha and might change without notice. If this command fails with API permission errors despite specifying the correct project, you might be trying to access an API with an invitation-only early access allowlist. These variants are also available:
$ gcloud ai endpoints undeploy-model
$ gcloud beta ai endpoints undeploy-model