NAME

gcloud alpha ai endpoints - manage Vertex AI endpoints

SYNOPSIS

gcloud alpha ai endpoints COMMAND [GCLOUD_WIDE_FLAG ...]

DESCRIPTION

(ALPHA) An endpoint contains one or more deployed models, all of which must have the same interface but may come from different models. An endpoint is to obtain online prediction and explanation from one of its deployed models.

When you communicate with Vertex AI services, you identify a specific endpoint that is deployed in the cloud using a combination of the current project, the region, and the endpoint.

GCLOUD WIDE FLAGS

These flags are available to all commands: --help.

Run $ gcloud help for details.

COMMANDS

COMMAND is one of the following:

create

(ALPHA) Create a new Vertex AI endpoint.

delete

(ALPHA) Delete an existing Vertex AI endpoint.

deploy-model

(ALPHA) Deploy a model to an existing Vertex AI endpoint.

describe

(ALPHA) Describe an existing Vertex AI endpoint.

explain

(ALPHA) Request an online explanation from an Vertex AI endpoint.

list

(ALPHA) List existing Vertex AI endpoints.

predict

(ALPHA) Run Vertex AI online prediction.

raw-predict

(ALPHA) Run Vertex AI online raw prediction.

undeploy-model

(ALPHA) Undeploy a model from an existing Vertex AI endpoint.

update

(ALPHA) Update an existing Vertex AI endpoint.

NOTES

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

$ gcloud beta ai endpoints