@pulumi/gcp
Version:
A Pulumi package for creating and managing Google Cloud Platform resources.
122 lines • 4.79 kB
JavaScript
;
// *** WARNING: this file was generated by pulumi-language-nodejs. ***
// *** Do not edit by hand unless you're certain you know what you are doing! ***
Object.defineProperty(exports, "__esModule", { value: true });
exports.AiDeploymentResourcePool = void 0;
const pulumi = require("@pulumi/pulumi");
const utilities = require("../utilities");
/**
* 'DeploymentResourcePool can be shared by multiple deployed models,
* whose underlying specification consists of dedicated resources.'
*
* To get more information about DeploymentResourcePool, see:
*
* * [API documentation](https://cloud.google.com/vertex-ai/docs/reference/rest/v1/projects.locations.deploymentResourcePools)
*
* ## Example Usage
*
* ### Vertex Ai Deployment Resource Pool
*
* ```typescript
* import * as pulumi from "@pulumi/pulumi";
* import * as gcp from "@pulumi/gcp";
*
* const deploymentResourcePool = new gcp.vertex.AiDeploymentResourcePool("deployment_resource_pool", {
* region: "us-central1",
* name: "example-deployment-resource-pool",
* dedicatedResources: {
* machineSpec: {
* machineType: "n1-standard-4",
* acceleratorType: "NVIDIA_TESLA_P4",
* acceleratorCount: 1,
* },
* minReplicaCount: 1,
* maxReplicaCount: 2,
* autoscalingMetricSpecs: [{
* metricName: "aiplatform.googleapis.com/prediction/online/accelerator/duty_cycle",
* target: 60,
* }],
* },
* });
* ```
*
* ## Import
*
* DeploymentResourcePool can be imported using any of these accepted formats:
*
* * `projects/{{project}}/locations/{{region}}/deploymentResourcePools/{{name}}`
*
* * `{{project}}/{{region}}/{{name}}`
*
* * `{{region}}/{{name}}`
*
* * `{{name}}`
*
* When using the `pulumi import` command, DeploymentResourcePool can be imported using one of the formats above. For example:
*
* ```sh
* $ pulumi import gcp:vertex/aiDeploymentResourcePool:AiDeploymentResourcePool default projects/{{project}}/locations/{{region}}/deploymentResourcePools/{{name}}
* ```
*
* ```sh
* $ pulumi import gcp:vertex/aiDeploymentResourcePool:AiDeploymentResourcePool default {{project}}/{{region}}/{{name}}
* ```
*
* ```sh
* $ pulumi import gcp:vertex/aiDeploymentResourcePool:AiDeploymentResourcePool default {{region}}/{{name}}
* ```
*
* ```sh
* $ pulumi import gcp:vertex/aiDeploymentResourcePool:AiDeploymentResourcePool default {{name}}
* ```
*/
class AiDeploymentResourcePool extends pulumi.CustomResource {
/**
* Get an existing AiDeploymentResourcePool resource's state with the given name, ID, and optional extra
* properties used to qualify the lookup.
*
* @param name The _unique_ name of the resulting resource.
* @param id The _unique_ provider ID of the resource to lookup.
* @param state Any extra arguments used during the lookup.
* @param opts Optional settings to control the behavior of the CustomResource.
*/
static get(name, id, state, opts) {
return new AiDeploymentResourcePool(name, state, { ...opts, id: id });
}
/**
* Returns true if the given object is an instance of AiDeploymentResourcePool. This is designed to work even
* when multiple copies of the Pulumi SDK have been loaded into the same process.
*/
static isInstance(obj) {
if (obj === undefined || obj === null) {
return false;
}
return obj['__pulumiType'] === AiDeploymentResourcePool.__pulumiType;
}
constructor(name, argsOrState, opts) {
let resourceInputs = {};
opts = opts || {};
if (opts.id) {
const state = argsOrState;
resourceInputs["createTime"] = state?.createTime;
resourceInputs["dedicatedResources"] = state?.dedicatedResources;
resourceInputs["name"] = state?.name;
resourceInputs["project"] = state?.project;
resourceInputs["region"] = state?.region;
}
else {
const args = argsOrState;
resourceInputs["dedicatedResources"] = args?.dedicatedResources;
resourceInputs["name"] = args?.name;
resourceInputs["project"] = args?.project;
resourceInputs["region"] = args?.region;
resourceInputs["createTime"] = undefined /*out*/;
}
opts = pulumi.mergeOptions(utilities.resourceOptsDefaults(), opts);
super(AiDeploymentResourcePool.__pulumiType, name, resourceInputs, opts);
}
}
exports.AiDeploymentResourcePool = AiDeploymentResourcePool;
/** @internal */
AiDeploymentResourcePool.__pulumiType = 'gcp:vertex/aiDeploymentResourcePool:AiDeploymentResourcePool';
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