GoogleCloudAiplatformV1PersistentResource
import type { GoogleCloudAiplatformV1PersistentResource } from "https://googleapis.deno.dev/v1/aiplatform:v1.ts";
Represents long-lasting resources that are dedicated to users to runs custom workloads. A PersistentResource can have multiple node pools and each node pool can have its own machine spec.
§Properties
Optional. The display name of the PersistentResource. The name can be up to 128 characters long and can consist of any UTF-8 characters.
Optional. Customer-managed encryption key spec for a PersistentResource. If set, this PersistentResource and all sub-resources of this PersistentResource will be secured by this key.
Output only. Only populated when persistent resource's state is STOPPING
or ERROR
.
Optional. The labels with user-defined metadata to organize PersistentResource. Label keys and values can be no longer than 64 characters (Unicode codepoints), can only contain lowercase letters, numeric characters, underscores and dashes. International characters are allowed. See https://goo.gl/xmQnxf for more information and examples of labels.
Optional. The full name of the Compute Engine
network to peered with
Vertex AI to host the persistent resources. For example,
projects/12345/global/networks/myVPC
.
Format is of the form
projects/{project}/global/networks/{network}
. Where {project} is a
project number, as in 12345
, and {network} is a network name. To specify
this field, you must have already configured VPC Network Peering for
Vertex AI. If
this field is left unspecified, the resources aren't peered with any
network.
Optional. A list of names for the reserved IP ranges under the VPC network that can be used for this persistent resource. If set, we will deploy the persistent resource within the provided IP ranges. Otherwise, the persistent resource is deployed to any IP ranges under the provided VPC network. Example: ['vertex-ai-ip-range'].
Required. The spec of the pools of different resources.
Output only. Runtime information of the Persistent Resource.
Optional. Persistent Resource runtime spec. For example, used for Ray cluster configuration.
Output only. Time when the PersistentResource for the first time entered
the RUNNING
state.