@pulumi/digitalocean
Version:
A Pulumi package for creating and managing DigitalOcean cloud resources.
178 lines • 7.16 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! ***
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Object.defineProperty(exports, "__esModule", { value: true });
exports.DedicatedInference = void 0;
const pulumi = __importStar(require("@pulumi/pulumi"));
const utilities = __importStar(require("./utilities"));
/**
* Provides a DigitalOcean Dedicated Inference resource. This can be used to create,
* modify, and delete dedicated inference endpoints for running GPU-accelerated
* model inference.
*
* ## Example Usage
*
* ```typescript
* import * as pulumi from "@pulumi/pulumi";
* import * as digitalocean from "@pulumi/digitalocean";
*
* const example = new digitalocean.DedicatedInference("example", {
* name: "my-inference-endpoint",
* region: "tor1",
* modelDeployments: [{
* modelSlug: "deepseek-r1-distill-qwen-14b",
* modelProvider: "digitalocean",
* accelerators: [{
* acceleratorSlug: "gpu-h100x1-80gb",
* scale: 1,
* type: "nvidia_h100",
* }],
* }],
* });
* ```
*
* ### With Public Endpoint
*
* ```typescript
* import * as pulumi from "@pulumi/pulumi";
* import * as digitalocean from "@pulumi/digitalocean";
*
* const _public = new digitalocean.DedicatedInference("public", {
* name: "my-public-inference",
* region: "tor1",
* enablePublicEndpoint: true,
* modelDeployments: [{
* modelSlug: "deepseek-r1-distill-qwen-14b",
* modelProvider: "digitalocean",
* accelerators: [{
* acceleratorSlug: "gpu-h100x1-80gb",
* scale: 1,
* type: "nvidia_h100",
* }],
* }],
* });
* ```
*
* ### With VPC
*
* ```typescript
* import * as pulumi from "@pulumi/pulumi";
* import * as digitalocean from "@pulumi/digitalocean";
*
* const _private = new digitalocean.DedicatedInference("private", {
* name: "my-private-inference",
* region: "tor1",
* vpcUuid: example.id,
* modelDeployments: [{
* modelSlug: "deepseek-r1-distill-qwen-14b",
* modelProvider: "digitalocean",
* accelerators: [{
* acceleratorSlug: "gpu-h100x1-80gb",
* scale: 1,
* type: "nvidia_h100",
* }],
* }],
* });
* ```
*
* ## Import
*
* Dedicated inference endpoints can be imported using their `id`, e.g.
*
* ```sh
* $ pulumi import digitalocean:index/dedicatedInference:DedicatedInference example endpoint-id
* ```
*/
class DedicatedInference extends pulumi.CustomResource {
/**
* Get an existing DedicatedInference 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 DedicatedInference(name, state, { ...opts, id: id });
}
/** @internal */
static __pulumiType = 'digitalocean:index/dedicatedInference:DedicatedInference';
/**
* Returns true if the given object is an instance of DedicatedInference. 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'] === DedicatedInference.__pulumiType;
}
constructor(name, argsOrState, opts) {
let resourceInputs = {};
opts = opts || {};
if (opts.id) {
const state = argsOrState;
resourceInputs["createdAt"] = state?.createdAt;
resourceInputs["enablePublicEndpoint"] = state?.enablePublicEndpoint;
resourceInputs["huggingFaceToken"] = state?.huggingFaceToken;
resourceInputs["modelDeployments"] = state?.modelDeployments;
resourceInputs["name"] = state?.name;
resourceInputs["privateEndpointFqdn"] = state?.privateEndpointFqdn;
resourceInputs["publicEndpointFqdn"] = state?.publicEndpointFqdn;
resourceInputs["region"] = state?.region;
resourceInputs["status"] = state?.status;
resourceInputs["updatedAt"] = state?.updatedAt;
resourceInputs["vpcUuid"] = state?.vpcUuid;
}
else {
const args = argsOrState;
if (args?.modelDeployments === undefined && !opts.urn) {
throw new Error("Missing required property 'modelDeployments'");
}
if (args?.region === undefined && !opts.urn) {
throw new Error("Missing required property 'region'");
}
resourceInputs["enablePublicEndpoint"] = args?.enablePublicEndpoint;
resourceInputs["huggingFaceToken"] = args?.huggingFaceToken ? pulumi.secret(args.huggingFaceToken) : undefined;
resourceInputs["modelDeployments"] = args?.modelDeployments;
resourceInputs["name"] = args?.name;
resourceInputs["region"] = args?.region;
resourceInputs["vpcUuid"] = args?.vpcUuid;
resourceInputs["createdAt"] = undefined /*out*/;
resourceInputs["privateEndpointFqdn"] = undefined /*out*/;
resourceInputs["publicEndpointFqdn"] = undefined /*out*/;
resourceInputs["status"] = undefined /*out*/;
resourceInputs["updatedAt"] = undefined /*out*/;
}
opts = pulumi.mergeOptions(utilities.resourceOptsDefaults(), opts);
const secretOpts = { additionalSecretOutputs: ["huggingFaceToken"] };
opts = pulumi.mergeOptions(opts, secretOpts);
super(DedicatedInference.__pulumiType, name, resourceInputs, opts);
}
}
exports.DedicatedInference = DedicatedInference;
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