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hsdp 0.65.3 published on Tuesday, Apr 15, 2025 by philips-software
philips-software/terraform-provider-hsdp

hsdp.AiInferenceComputeTarget

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hsdp logo
hsdp 0.65.3 published on Tuesday, Apr 15, 2025 by philips-software
philips-software/terraform-provider-hsdp

    Manages HSDP AI Inference Compute Targets

    Example Usage

    import * as pulumi from "@pulumi/pulumi";
import * as hsdp from "@pulumi/hsdp";

const inferenceConfig = hsdp.getConfig({
    service: "inference",
});
const inferenceAiInferenceServiceInstance = inferenceConfig.then(inferenceConfig => hsdp.getAiInferenceServiceInstance({
    baseUrl: inferenceConfig.url,
    organizationId: _var.inference_tenant_org_id,
}));
const target = new hsdp.AiInferenceComputeTarget("target", {
    endpoint: inferenceAiInferenceServiceInstance.then(inferenceAiInferenceServiceInstance => inferenceAiInferenceServiceInstance.endpoint),
    description: "Tesla v100 GPU based environment with 128MB GPU memory",
    instanceType: "ml.p3.16xlarge",
    storage: 20,
});

    import pulumi
import pulumi_hsdp as hsdp

inference_config = hsdp.get_config(service="inference")
inference_ai_inference_service_instance = hsdp.get_ai_inference_service_instance(base_url=inference_config.url,
    organization_id=var["inference_tenant_org_id"])
target = hsdp.AiInferenceComputeTarget("target",
    endpoint=inference_ai_inference_service_instance.endpoint,
    description="Tesla v100 GPU based environment with 128MB GPU memory",
    instance_type="ml.p3.16xlarge",
    storage=20)

    package main

import (
	"github.com/pulumi/pulumi-terraform-provider/sdks/go/hsdp/hsdp"
	"github.com/pulumi/pulumi/sdk/v3/go/pulumi"
)

func main() {
	pulumi.Run(func(ctx *pulumi.Context) error {
		inferenceConfig, err := hsdp.GetConfig(ctx, &hsdp.GetConfigArgs{
			Service: "inference",
		}, nil)
		if err != nil {
			return err
		}
		inferenceAiInferenceServiceInstance, err := hsdp.GetAiInferenceServiceInstance(ctx, &hsdp.GetAiInferenceServiceInstanceArgs{
			BaseUrl:        inferenceConfig.Url,
			OrganizationId: _var.Inference_tenant_org_id,
		}, nil)
		if err != nil {
			return err
		}
		_, err = hsdp.NewAiInferenceComputeTarget(ctx, "target", &hsdp.AiInferenceComputeTargetArgs{
			Endpoint:     pulumi.String(inferenceAiInferenceServiceInstance.Endpoint),
			Description:  pulumi.String("Tesla v100 GPU based environment with 128MB GPU memory"),
			InstanceType: pulumi.String("ml.p3.16xlarge"),
			Storage:      pulumi.Float64(20),
		})
		if err != nil {
			return err
		}
		return nil
	})
}

    using System.Collections.Generic;
using System.Linq;
using Pulumi;
using Hsdp = Pulumi.Hsdp;

return await Deployment.RunAsync(() => 
{
    var inferenceConfig = Hsdp.GetConfig.Invoke(new()
    {
        Service = "inference",
    });

    var inferenceAiInferenceServiceInstance = Hsdp.GetAiInferenceServiceInstance.Invoke(new()
    {
        BaseUrl = inferenceConfig.Apply(getConfigResult => getConfigResult.Url),
        OrganizationId = @var.Inference_tenant_org_id,
    });

    var target = new Hsdp.AiInferenceComputeTarget("target", new()
    {
        Endpoint = inferenceAiInferenceServiceInstance.Apply(getAiInferenceServiceInstanceResult => getAiInferenceServiceInstanceResult.Endpoint),
        Description = "Tesla v100 GPU based environment with 128MB GPU memory",
        InstanceType = "ml.p3.16xlarge",
        Storage = 20,
    });

});

    package generated_program;

import com.pulumi.Context;
import com.pulumi.Pulumi;
import com.pulumi.core.Output;
import com.pulumi.hsdp.HsdpFunctions;
import com.pulumi.hsdp.inputs.GetConfigArgs;
import com.pulumi.hsdp.inputs.GetAiInferenceServiceInstanceArgs;
import com.pulumi.hsdp.AiInferenceComputeTarget;
import com.pulumi.hsdp.AiInferenceComputeTargetArgs;
import java.util.List;
import java.util.ArrayList;
import java.util.Map;
import java.io.File;
import java.nio.file.Files;
import java.nio.file.Paths;

public class App {
    public static void main(String[] args) {
        Pulumi.run(App::stack);
    }

    public static void stack(Context ctx) {
        final var inferenceConfig = HsdpFunctions.getConfig(GetConfigArgs.builder()
            .service("inference")
            .build());

        final var inferenceAiInferenceServiceInstance = HsdpFunctions.getAiInferenceServiceInstance(GetAiInferenceServiceInstanceArgs.builder()
            .baseUrl(inferenceConfig.applyValue(getConfigResult -> getConfigResult.url()))
            .organizationId(var_.inference_tenant_org_id())
            .build());

        var target = new AiInferenceComputeTarget("target", AiInferenceComputeTargetArgs.builder()
            .endpoint(inferenceAiInferenceServiceInstance.applyValue(getAiInferenceServiceInstanceResult -> getAiInferenceServiceInstanceResult.endpoint()))
            .description("Tesla v100 GPU based environment with 128MB GPU memory")
            .instanceType("ml.p3.16xlarge")
            .storage(20)
            .build());

    }
}

    resources:
  target:
    type: hsdp:AiInferenceComputeTarget
    properties:
      endpoint: ${inferenceAiInferenceServiceInstance.endpoint}
      description: Tesla v100 GPU based environment with 128MB GPU memory
      instanceType: ml.p3.16xlarge
      storage: 20
variables:
  inferenceConfig:
    fn::invoke:
      function: hsdp:getConfig
      arguments:
        service: inference
  inferenceAiInferenceServiceInstance:
    fn::invoke:
      function: hsdp:getAiInferenceServiceInstance
      arguments:
        baseUrl: ${inferenceConfig.url}
        organizationId: ${var.inference_tenant_org_id}

    Attributes reference

    In addition to all arguments above, the following attributes are exported:

    • id - The GUID of the Compute Target
    • reference - The reference of this Compute Target
    • is_factory - Weather this Compute Environment is factory one
    • created - The date this Compute Environment was created
    • created_by - Who created the environment

    Create AiInferenceComputeTarget Resource

    Resources are created with functions called constructors. To learn more about declaring and configuring resources, see Resources.

    Constructor syntax

    new AiInferenceComputeTarget(name: string, args: AiInferenceComputeTargetArgs, opts?: CustomResourceOptions);
    @overload
def AiInferenceComputeTarget(resource_name: str,
                             args: AiInferenceComputeTargetArgs,
                             opts: Optional[ResourceOptions] = None)

@overload
def AiInferenceComputeTarget(resource_name: str,
                             opts: Optional[ResourceOptions] = None,
                             endpoint: Optional[str] = None,
                             instance_type: Optional[str] = None,
                             storage: Optional[float] = None,
                             ai_inference_compute_target_id: Optional[str] = None,
                             description: Optional[str] = None,
                             name: Optional[str] = None)
    func NewAiInferenceComputeTarget(ctx *Context, name string, args AiInferenceComputeTargetArgs, opts ...ResourceOption) (*AiInferenceComputeTarget, error)
    public AiInferenceComputeTarget(string name, AiInferenceComputeTargetArgs args, CustomResourceOptions? opts = null)
    public AiInferenceComputeTarget(String name, AiInferenceComputeTargetArgs args)
public AiInferenceComputeTarget(String name, AiInferenceComputeTargetArgs args, CustomResourceOptions options)

    type: hsdp:AiInferenceComputeTarget
properties: # The arguments to resource properties.
options: # Bag of options to control resource's behavior.

    Parameters

    name string
    The unique name of the resource.
    args AiInferenceComputeTargetArgs
    The arguments to resource properties.
    opts CustomResourceOptions
    Bag of options to control resource's behavior.
    resource_name str
    The unique name of the resource.
    args AiInferenceComputeTargetArgs
    The arguments to resource properties.
    opts ResourceOptions
    Bag of options to control resource's behavior.
    ctx Context
    Context object for the current deployment.
    name string
    The unique name of the resource.
    args AiInferenceComputeTargetArgs
    The arguments to resource properties.
    opts ResourceOption
    Bag of options to control resource's behavior.
    name string
    The unique name of the resource.
    args AiInferenceComputeTargetArgs
    The arguments to resource properties.
    opts CustomResourceOptions
    Bag of options to control resource's behavior.
    name String
    The unique name of the resource.
    args AiInferenceComputeTargetArgs
    The arguments to resource properties.
    options CustomResourceOptions
    Bag of options to control resource's behavior.

    Constructor example

    The following reference example uses placeholder values for all input properties.

    var aiInferenceComputeTargetResource = new Hsdp.AiInferenceComputeTarget("aiInferenceComputeTargetResource", new()
{
    Endpoint = "string",
    InstanceType = "string",
    Storage = 0,
    AiInferenceComputeTargetId = "string",
    Description = "string",
    Name = "string",
});

    example, err := hsdp.NewAiInferenceComputeTarget(ctx, "aiInferenceComputeTargetResource", &hsdp.AiInferenceComputeTargetArgs{
	Endpoint:                   pulumi.String("string"),
	InstanceType:               pulumi.String("string"),
	Storage:                    pulumi.Float64(0),
	AiInferenceComputeTargetId: pulumi.String("string"),
	Description:                pulumi.String("string"),
	Name:                       pulumi.String("string"),
})

    var aiInferenceComputeTargetResource = new AiInferenceComputeTarget("aiInferenceComputeTargetResource", AiInferenceComputeTargetArgs.builder()
    .endpoint("string")
    .instanceType("string")
    .storage(0)
    .aiInferenceComputeTargetId("string")
    .description("string")
    .name("string")
    .build());

    ai_inference_compute_target_resource = hsdp.AiInferenceComputeTarget("aiInferenceComputeTargetResource",
    endpoint="string",
    instance_type="string",
    storage=0,
    ai_inference_compute_target_id="string",
    description="string",
    name="string")

    const aiInferenceComputeTargetResource = new hsdp.AiInferenceComputeTarget("aiInferenceComputeTargetResource", {
    endpoint: "string",
    instanceType: "string",
    storage: 0,
    aiInferenceComputeTargetId: "string",
    description: "string",
    name: "string",
});

    type: hsdp:AiInferenceComputeTarget
properties:
    aiInferenceComputeTargetId: string
    description: string
    endpoint: string
    instanceType: string
    name: string
    storage: 0

    AiInferenceComputeTarget Resource Properties

    To learn more about resource properties and how to use them, see Inputs and Outputs in the Architecture and Concepts docs.

    Inputs

    In Python, inputs that are objects can be passed either as argument classes or as dictionary literals.

    The AiInferenceComputeTarget resource accepts the following input properties:

    Endpoint string
    The AI Inference instance endpoint
    InstanceType string
    The instance type to use. Available instance types for Inference, see Sagemaker pricing
    Storage double
    Additional storage to allocate (in GB). Default: 1
    AiInferenceComputeTargetId string
    Description string
    Description of the Compute Target
    Name string
    The name of Compute Environment
    Endpoint string
    The AI Inference instance endpoint
    InstanceType string
    The instance type to use. Available instance types for Inference, see Sagemaker pricing
    Storage float64
    Additional storage to allocate (in GB). Default: 1
    AiInferenceComputeTargetId string
    Description string
    Description of the Compute Target
    Name string
    The name of Compute Environment
    endpoint String
    The AI Inference instance endpoint
    instanceType String
    The instance type to use. Available instance types for Inference, see Sagemaker pricing
    storage Double
    Additional storage to allocate (in GB). Default: 1
    aiInferenceComputeTargetId String
    description String
    Description of the Compute Target
    name String
    The name of Compute Environment
    endpoint string
    The AI Inference instance endpoint
    instanceType string
    The instance type to use. Available instance types for Inference, see Sagemaker pricing
    storage number
    Additional storage to allocate (in GB). Default: 1
    aiInferenceComputeTargetId string
    description string
    Description of the Compute Target
    name string
    The name of Compute Environment
    endpoint str
    The AI Inference instance endpoint
    instance_type str
    The instance type to use. Available instance types for Inference, see Sagemaker pricing
    storage float
    Additional storage to allocate (in GB). Default: 1
    ai_inference_compute_target_id str
    description str
    Description of the Compute Target
    name str
    The name of Compute Environment
    endpoint String
    The AI Inference instance endpoint
    instanceType String
    The instance type to use. Available instance types for Inference, see Sagemaker pricing
    storage Number
    Additional storage to allocate (in GB). Default: 1
    aiInferenceComputeTargetId String
    description String
    Description of the Compute Target
    name String
    The name of Compute Environment

    Outputs

    All input properties are implicitly available as output properties. Additionally, the AiInferenceComputeTarget resource produces the following output properties:

    Created string
    CreatedBy string
    Id string
    The provider-assigned unique ID for this managed resource.
    IsFactory bool
    Reference string
    Created string
    CreatedBy string
    Id string
    The provider-assigned unique ID for this managed resource.
    IsFactory bool
    Reference string
    created String
    createdBy String
    id String
    The provider-assigned unique ID for this managed resource.
    isFactory Boolean
    reference String
    created string
    createdBy string
    id string
    The provider-assigned unique ID for this managed resource.
    isFactory boolean
    reference string
    created str
    created_by str
    id str
    The provider-assigned unique ID for this managed resource.
    is_factory bool
    reference str
    created String
    createdBy String
    id String
    The provider-assigned unique ID for this managed resource.
    isFactory Boolean
    reference String

    Look up Existing AiInferenceComputeTarget Resource

    Get an existing AiInferenceComputeTarget resource’s state with the given name, ID, and optional extra properties used to qualify the lookup.

    public static get(name: string, id: Input<ID>, state?: AiInferenceComputeTargetState, opts?: CustomResourceOptions): AiInferenceComputeTarget
    @staticmethod
def get(resource_name: str,
        id: str,
        opts: Optional[ResourceOptions] = None,
        ai_inference_compute_target_id: Optional[str] = None,
        created: Optional[str] = None,
        created_by: Optional[str] = None,
        description: Optional[str] = None,
        endpoint: Optional[str] = None,
        instance_type: Optional[str] = None,
        is_factory: Optional[bool] = None,
        name: Optional[str] = None,
        reference: Optional[str] = None,
        storage: Optional[float] = None) -> AiInferenceComputeTarget
    func GetAiInferenceComputeTarget(ctx *Context, name string, id IDInput, state *AiInferenceComputeTargetState, opts ...ResourceOption) (*AiInferenceComputeTarget, error)
    public static AiInferenceComputeTarget Get(string name, Input<string> id, AiInferenceComputeTargetState? state, CustomResourceOptions? opts = null)
    public static AiInferenceComputeTarget get(String name, Output<String> id, AiInferenceComputeTargetState state, CustomResourceOptions options)
    resources:  _:    type: hsdp:AiInferenceComputeTarget    get:      id: ${id}
    name
    The unique name of the resulting resource.
    id
    The unique provider ID of the resource to lookup.
    state
    Any extra arguments used during the lookup.
    opts
    A bag of options that control this resource's behavior.
    resource_name
    The unique name of the resulting resource.
    id
    The unique provider ID of the resource to lookup.
    name
    The unique name of the resulting resource.
    id
    The unique provider ID of the resource to lookup.
    state
    Any extra arguments used during the lookup.
    opts
    A bag of options that control this resource's behavior.
    name
    The unique name of the resulting resource.
    id
    The unique provider ID of the resource to lookup.
    state
    Any extra arguments used during the lookup.
    opts
    A bag of options that control this resource's behavior.
    name
    The unique name of the resulting resource.
    id
    The unique provider ID of the resource to lookup.
    state
    Any extra arguments used during the lookup.
    opts
    A bag of options that control this resource's behavior.
    The following state arguments are supported:
    AiInferenceComputeTargetId string
    Created string
    CreatedBy string
    Description string
    Description of the Compute Target
    Endpoint string
    The AI Inference instance endpoint
    InstanceType string
    The instance type to use. Available instance types for Inference, see Sagemaker pricing
    IsFactory bool
    Name string
    The name of Compute Environment
    Reference string
    Storage double
    Additional storage to allocate (in GB). Default: 1
    AiInferenceComputeTargetId string
    Created string
    CreatedBy string
    Description string
    Description of the Compute Target
    Endpoint string
    The AI Inference instance endpoint
    InstanceType string
    The instance type to use. Available instance types for Inference, see Sagemaker pricing
    IsFactory bool
    Name string
    The name of Compute Environment
    Reference string
    Storage float64
    Additional storage to allocate (in GB). Default: 1
    aiInferenceComputeTargetId String
    created String
    createdBy String
    description String
    Description of the Compute Target
    endpoint String
    The AI Inference instance endpoint
    instanceType String
    The instance type to use. Available instance types for Inference, see Sagemaker pricing
    isFactory Boolean
    name String
    The name of Compute Environment
    reference String
    storage Double
    Additional storage to allocate (in GB). Default: 1
    aiInferenceComputeTargetId string
    created string
    createdBy string
    description string
    Description of the Compute Target
    endpoint string
    The AI Inference instance endpoint
    instanceType string
    The instance type to use. Available instance types for Inference, see Sagemaker pricing
    isFactory boolean
    name string
    The name of Compute Environment
    reference string
    storage number
    Additional storage to allocate (in GB). Default: 1
    ai_inference_compute_target_id str
    created str
    created_by str
    description str
    Description of the Compute Target
    endpoint str
    The AI Inference instance endpoint
    instance_type str
    The instance type to use. Available instance types for Inference, see Sagemaker pricing
    is_factory bool
    name str
    The name of Compute Environment
    reference str
    storage float
    Additional storage to allocate (in GB). Default: 1
    aiInferenceComputeTargetId String
    created String
    createdBy String
    description String
    Description of the Compute Target
    endpoint String
    The AI Inference instance endpoint
    instanceType String
    The instance type to use. Available instance types for Inference, see Sagemaker pricing
    isFactory Boolean
    name String
    The name of Compute Environment
    reference String
    storage Number
    Additional storage to allocate (in GB). Default: 1

    Import

    $ pulumi import hsdp:index/aiInferenceComputeTarget:AiInferenceComputeTarget An existing Compute Environment can be imported using `hsdp_ai_inference_compute_target`, e.g.

    bash

    $ pulumi import hsdp:index/aiInferenceComputeTarget:AiInferenceComputeTarget target a-guid

    To learn more about importing existing cloud resources, see Importing resources.

    Package Details

    Repository
    hsdp philips-software/terraform-provider-hsdp
    License
    Notes
    This Pulumi package is based on the hsdp Terraform Provider.
    hsdp logo
    hsdp 0.65.3 published on Tuesday, Apr 15, 2025 by philips-software
    philips-software/terraform-provider-hsdp