pulumi-azure-kotlin/com.pulumi.azure.machinelearning.kotlin/InferenceClusterArgs

InferenceClusterArgs

data class InferenceClusterArgs(val clusterPurpose: Output<String>? = null, val description: Output<String>? = null, val identity: Output<InferenceClusterIdentityArgs>? = null, val kubernetesClusterId: Output<String>? = null, val location: Output<String>? = null, val machineLearningWorkspaceId: Output<String>? = null, val name: Output<String>? = null, val ssl: Output<InferenceClusterSslArgs>? = null, val tags: Output<Map<String, String>>? = null) : ConvertibleToJava<InferenceClusterArgs>

Manages a Machine Learning Inference Cluster.

Note: The Machine Learning Inference Cluster resource is used to attach an existing AKS cluster to the Machine Learning Workspace, it doesn't create the AKS cluster itself. Therefore it can only be created and deleted, not updated. Any change to the configuration will recreate the resource.

Example Usage

import * as pulumi from "@pulumi/pulumi";
import * as azure from "@pulumi/azure";
const current = azure.core.getClientConfig({});
const example = new azure.core.ResourceGroup("example", {
    name: "example-rg",
    location: "west europe",
    tags: {
        stage: "example",
    },
});
const exampleInsights = new azure.appinsights.Insights("example", {
    name: "example-ai",
    location: example.location,
    resourceGroupName: example.name,
    applicationType: "web",
});
const exampleKeyVault = new azure.keyvault.KeyVault("example", {
    name: "example-kv",
    location: example.location,
    resourceGroupName: example.name,
    tenantId: current.then(current => current.tenantId),
    skuName: "standard",
    purgeProtectionEnabled: true,
});
const exampleAccount = new azure.storage.Account("example", {
    name: "examplesa",
    location: example.location,
    resourceGroupName: example.name,
    accountTier: "Standard",
    accountReplicationType: "LRS",
});
const exampleWorkspace = new azure.machinelearning.Workspace("example", {
    name: "example-mlw",
    location: example.location,
    resourceGroupName: example.name,
    applicationInsightsId: exampleInsights.id,
    keyVaultId: exampleKeyVault.id,
    storageAccountId: exampleAccount.id,
    identity: {
        type: "SystemAssigned",
    },
});
const exampleVirtualNetwork = new azure.network.VirtualNetwork("example", {
    name: "example-vnet",
    addressSpaces: ["10&#46;1&#46;0&#46;0/16"],
    location: example.location,
    resourceGroupName: example.name,
});
const exampleSubnet = new azure.network.Subnet("example", {
    name: "example-subnet",
    resourceGroupName: example.name,
    virtualNetworkName: exampleVirtualNetwork.name,
    addressPrefixes: ["10&#46;1&#46;0&#46;0/24"],
});
const exampleKubernetesCluster = new azure.containerservice.KubernetesCluster("example", {
    name: "example-aks",
    location: example.location,
    resourceGroupName: example.name,
    dnsPrefixPrivateCluster: "prefix",
    defaultNodePool: {
        name: "default",
        nodeCount: 3,
        vmSize: "Standard_D3_v2",
        vnetSubnetId: exampleSubnet.id,
    },
    identity: {
        type: "SystemAssigned",
    },
});
const exampleInferenceCluster = new azure.machinelearning.InferenceCluster("example", {
    name: "example",
    location: example.location,
    clusterPurpose: "FastProd",
    kubernetesClusterId: exampleKubernetesCluster.id,
    description: "This is an example cluster used with Terraform",
    machineLearningWorkspaceId: exampleWorkspace.id,
    tags: {
        stage: "example",
    },
});
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import pulumi
import pulumi_azure as azure
current = azure.core.get_client_config()
example = azure.core.ResourceGroup("example",
    name="example-rg",
    location="west europe",
    tags={
        "stage": "example",
    })
example_insights = azure.appinsights.Insights("example",
    name="example-ai",
    location=example.location,
    resource_group_name=example.name,
    application_type="web")
example_key_vault = azure.keyvault.KeyVault("example",
    name="example-kv",
    location=example.location,
    resource_group_name=example.name,
    tenant_id=current.tenant_id,
    sku_name="standard",
    purge_protection_enabled=True)
example_account = azure.storage.Account("example",
    name="examplesa",
    location=example.location,
    resource_group_name=example.name,
    account_tier="Standard",
    account_replication_type="LRS")
example_workspace = azure.machinelearning.Workspace("example",
    name="example-mlw",
    location=example.location,
    resource_group_name=example.name,
    application_insights_id=example_insights.id,
    key_vault_id=example_key_vault.id,
    storage_account_id=example_account.id,
    identity={
        "type": "SystemAssigned",
    })
example_virtual_network = azure.network.VirtualNetwork("example",
    name="example-vnet",
    address_spaces=["10&#46;1&#46;0&#46;0/16"],
    location=example.location,
    resource_group_name=example.name)
example_subnet = azure.network.Subnet("example",
    name="example-subnet",
    resource_group_name=example.name,
    virtual_network_name=example_virtual_network.name,
    address_prefixes=["10&#46;1&#46;0&#46;0/24"])
example_kubernetes_cluster = azure.containerservice.KubernetesCluster("example",
    name="example-aks",
    location=example.location,
    resource_group_name=example.name,
    dns_prefix_private_cluster="prefix",
    default_node_pool={
        "name": "default",
        "node_count": 3,
        "vm_size": "Standard_D3_v2",
        "vnet_subnet_id": example_subnet.id,
    },
    identity={
        "type": "SystemAssigned",
    })
example_inference_cluster = azure.machinelearning.InferenceCluster("example",
    name="example",
    location=example.location,
    cluster_purpose="FastProd",
    kubernetes_cluster_id=example_kubernetes_cluster.id,
    description="This is an example cluster used with Terraform",
    machine_learning_workspace_id=example_workspace.id,
    tags={
        "stage": "example",
    })
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using System.Collections.Generic;
using System.Linq;
using Pulumi;
using Azure = Pulumi.Azure;
return await Deployment.RunAsync(() =>
{
    var current = Azure.Core.GetClientConfig.Invoke();
    var example = new Azure.Core.ResourceGroup("example", new()
    {
        Name = "example-rg",
        Location = "west europe",
        Tags =
        {
            { "stage", "example" },
        },
    });
    var exampleInsights = new Azure.AppInsights.Insights("example", new()
    {
        Name = "example-ai",
        Location = example.Location,
        ResourceGroupName = example.Name,
        ApplicationType = "web",
    });
    var exampleKeyVault = new Azure.KeyVault.KeyVault("example", new()
    {
        Name = "example-kv",
        Location = example.Location,
        ResourceGroupName = example.Name,
        TenantId = current.Apply(getClientConfigResult => getClientConfigResult.TenantId),
        SkuName = "standard",
        PurgeProtectionEnabled = true,
    });
    var exampleAccount = new Azure.Storage.Account("example", new()
    {
        Name = "examplesa",
        Location = example.Location,
        ResourceGroupName = example.Name,
        AccountTier = "Standard",
        AccountReplicationType = "LRS",
    });
    var exampleWorkspace = new Azure.MachineLearning.Workspace("example", new()
    {
        Name = "example-mlw",
        Location = example.Location,
        ResourceGroupName = example.Name,
        ApplicationInsightsId = exampleInsights.Id,
        KeyVaultId = exampleKeyVault.Id,
        StorageAccountId = exampleAccount.Id,
        Identity = new Azure.MachineLearning.Inputs.WorkspaceIdentityArgs
        {
            Type = "SystemAssigned",
        },
    });
    var exampleVirtualNetwork = new Azure.Network.VirtualNetwork("example", new()
    {
        Name = "example-vnet",
        AddressSpaces = new[]
        {
            "10.1.0.0/16",
        },
        Location = example.Location,
        ResourceGroupName = example.Name,
    });
    var exampleSubnet = new Azure.Network.Subnet("example", new()
    {
        Name = "example-subnet",
        ResourceGroupName = example.Name,
        VirtualNetworkName = exampleVirtualNetwork.Name,
        AddressPrefixes = new[]
        {
            "10.1.0.0/24",
        },
    });
    var exampleKubernetesCluster = new Azure.ContainerService.KubernetesCluster("example", new()
    {
        Name = "example-aks",
        Location = example.Location,
        ResourceGroupName = example.Name,
        DnsPrefixPrivateCluster = "prefix",
        DefaultNodePool = new Azure.ContainerService.Inputs.KubernetesClusterDefaultNodePoolArgs
        {
            Name = "default",
            NodeCount = 3,
            VmSize = "Standard_D3_v2",
            VnetSubnetId = exampleSubnet.Id,
        },
        Identity = new Azure.ContainerService.Inputs.KubernetesClusterIdentityArgs
        {
            Type = "SystemAssigned",
        },
    });
    var exampleInferenceCluster = new Azure.MachineLearning.InferenceCluster("example", new()
    {
        Name = "example",
        Location = example.Location,
        ClusterPurpose = "FastProd",
        KubernetesClusterId = exampleKubernetesCluster.Id,
        Description = "This is an example cluster used with Terraform",
        MachineLearningWorkspaceId = exampleWorkspace.Id,
        Tags =
        {
            { "stage", "example" },
        },
    });
});
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package main
import (
	"github.com/pulumi/pulumi-azure/sdk/v6/go/azure/appinsights"
	"github.com/pulumi/pulumi-azure/sdk/v6/go/azure/containerservice"
	"github.com/pulumi/pulumi-azure/sdk/v6/go/azure/core"
	"github.com/pulumi/pulumi-azure/sdk/v6/go/azure/keyvault"
	"github.com/pulumi/pulumi-azure/sdk/v6/go/azure/machinelearning"
	"github.com/pulumi/pulumi-azure/sdk/v6/go/azure/network"
	"github.com/pulumi/pulumi-azure/sdk/v6/go/azure/storage"
	"github.com/pulumi/pulumi/sdk/v3/go/pulumi"
)
func main() {
	pulumi.Run(func(ctx *pulumi.Context) error {
		current, err := core.GetClientConfig(ctx, map[string]interface{}{}, nil)
		if err != nil {
			return err
		}
		example, err := core.NewResourceGroup(ctx, "example", &core.ResourceGroupArgs{
			Name:     pulumi.String("example-rg"),
			Location: pulumi.String("west europe"),
			Tags: pulumi.StringMap{
				"stage": pulumi.String("example"),
			},
		})
		if err != nil {
			return err
		}
		exampleInsights, err := appinsights.NewInsights(ctx, "example", &appinsights.InsightsArgs{
			Name:              pulumi.String("example-ai"),
			Location:          example.Location,
			ResourceGroupName: example.Name,
			ApplicationType:   pulumi.String("web"),
		})
		if err != nil {
			return err
		}
		exampleKeyVault, err := keyvault.NewKeyVault(ctx, "example", &keyvault.KeyVaultArgs{
			Name:                   pulumi.String("example-kv"),
			Location:               example.Location,
			ResourceGroupName:      example.Name,
			TenantId:               pulumi.String(current.TenantId),
			SkuName:                pulumi.String("standard"),
			PurgeProtectionEnabled: pulumi.Bool(true),
		})
		if err != nil {
			return err
		}
		exampleAccount, err := storage.NewAccount(ctx, "example", &storage.AccountArgs{
			Name:                   pulumi.String("examplesa"),
			Location:               example.Location,
			ResourceGroupName:      example.Name,
			AccountTier:            pulumi.String("Standard"),
			AccountReplicationType: pulumi.String("LRS"),
		})
		if err != nil {
			return err
		}
		exampleWorkspace, err := machinelearning.NewWorkspace(ctx, "example", &machinelearning.WorkspaceArgs{
			Name:                  pulumi.String("example-mlw"),
			Location:              example.Location,
			ResourceGroupName:     example.Name,
			ApplicationInsightsId: exampleInsights.ID(),
			KeyVaultId:            exampleKeyVault.ID(),
			StorageAccountId:      exampleAccount.ID(),
			Identity: &machinelearning.WorkspaceIdentityArgs{
				Type: pulumi.String("SystemAssigned"),
			},
		})
		if err != nil {
			return err
		}
		exampleVirtualNetwork, err := network.NewVirtualNetwork(ctx, "example", &network.VirtualNetworkArgs{
			Name: pulumi.String("example-vnet"),
			AddressSpaces: pulumi.StringArray{
				pulumi.String("10.1.0.0/16"),
			},
			Location:          example.Location,
			ResourceGroupName: example.Name,
		})
		if err != nil {
			return err
		}
		exampleSubnet, err := network.NewSubnet(ctx, "example", &network.SubnetArgs{
			Name:               pulumi.String("example-subnet"),
			ResourceGroupName:  example.Name,
			VirtualNetworkName: exampleVirtualNetwork.Name,
			AddressPrefixes: pulumi.StringArray{
				pulumi.String("10.1.0.0/24"),
			},
		})
		if err != nil {
			return err
		}
		exampleKubernetesCluster, err := containerservice.NewKubernetesCluster(ctx, "example", &containerservice.KubernetesClusterArgs{
			Name:                    pulumi.String("example-aks"),
			Location:                example.Location,
			ResourceGroupName:       example.Name,
			DnsPrefixPrivateCluster: pulumi.String("prefix"),
			DefaultNodePool: &containerservice.KubernetesClusterDefaultNodePoolArgs{
				Name:         pulumi.String("default"),
				NodeCount:    pulumi.Int(3),
				VmSize:       pulumi.String("Standard_D3_v2"),
				VnetSubnetId: exampleSubnet.ID(),
			},
			Identity: &containerservice.KubernetesClusterIdentityArgs{
				Type: pulumi.String("SystemAssigned"),
			},
		})
		if err != nil {
			return err
		}
		_, err = machinelearning.NewInferenceCluster(ctx, "example", &machinelearning.InferenceClusterArgs{
			Name:                       pulumi.String("example"),
			Location:                   example.Location,
			ClusterPurpose:             pulumi.String("FastProd"),
			KubernetesClusterId:        exampleKubernetesCluster.ID(),
			Description:                pulumi.String("This is an example cluster used with Terraform"),
			MachineLearningWorkspaceId: exampleWorkspace.ID(),
			Tags: pulumi.StringMap{
				"stage": pulumi.String("example"),
			},
		})
		if err != nil {
			return err
		}
		return nil
	})
}
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package generated_program;
import com.pulumi.Context;
import com.pulumi.Pulumi;
import com.pulumi.core.Output;
import com.pulumi.azure.core.CoreFunctions;
import com.pulumi.azure.core.ResourceGroup;
import com.pulumi.azure.core.ResourceGroupArgs;
import com.pulumi.azure.appinsights.Insights;
import com.pulumi.azure.appinsights.InsightsArgs;
import com.pulumi.azure.keyvault.KeyVault;
import com.pulumi.azure.keyvault.KeyVaultArgs;
import com.pulumi.azure.storage.Account;
import com.pulumi.azure.storage.AccountArgs;
import com.pulumi.azure.machinelearning.Workspace;
import com.pulumi.azure.machinelearning.WorkspaceArgs;
import com.pulumi.azure.machinelearning.inputs.WorkspaceIdentityArgs;
import com.pulumi.azure.network.VirtualNetwork;
import com.pulumi.azure.network.VirtualNetworkArgs;
import com.pulumi.azure.network.Subnet;
import com.pulumi.azure.network.SubnetArgs;
import com.pulumi.azure.containerservice.KubernetesCluster;
import com.pulumi.azure.containerservice.KubernetesClusterArgs;
import com.pulumi.azure.containerservice.inputs.KubernetesClusterDefaultNodePoolArgs;
import com.pulumi.azure.containerservice.inputs.KubernetesClusterIdentityArgs;
import com.pulumi.azure.machinelearning.InferenceCluster;
import com.pulumi.azure.machinelearning.InferenceClusterArgs;
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 current = CoreFunctions.getClientConfig(%!v(PANIC=Format method: runtime error: invalid memory address or nil pointer dereference);
        var example = new ResourceGroup("example", ResourceGroupArgs.builder()
            .name("example-rg")
            .location("west europe")
            .tags(Map.of("stage", "example"))
            .build());
        var exampleInsights = new Insights("exampleInsights", InsightsArgs.builder()
            .name("example-ai")
            .location(example.location())
            .resourceGroupName(example.name())
            .applicationType("web")
            .build());
        var exampleKeyVault = new KeyVault("exampleKeyVault", KeyVaultArgs.builder()
            .name("example-kv")
            .location(example.location())
            .resourceGroupName(example.name())
            .tenantId(current.tenantId())
            .skuName("standard")
            .purgeProtectionEnabled(true)
            .build());
        var exampleAccount = new Account("exampleAccount", AccountArgs.builder()
            .name("examplesa")
            .location(example.location())
            .resourceGroupName(example.name())
            .accountTier("Standard")
            .accountReplicationType("LRS")
            .build());
        var exampleWorkspace = new Workspace("exampleWorkspace", WorkspaceArgs.builder()
            .name("example-mlw")
            .location(example.location())
            .resourceGroupName(example.name())
            .applicationInsightsId(exampleInsights.id())
            .keyVaultId(exampleKeyVault.id())
            .storageAccountId(exampleAccount.id())
            .identity(WorkspaceIdentityArgs.builder()
                .type("SystemAssigned")
                .build())
            .build());
        var exampleVirtualNetwork = new VirtualNetwork("exampleVirtualNetwork", VirtualNetworkArgs.builder()
            .name("example-vnet")
            .addressSpaces("10.1.0.0/16")
            .location(example.location())
            .resourceGroupName(example.name())
            .build());
        var exampleSubnet = new Subnet("exampleSubnet", SubnetArgs.builder()
            .name("example-subnet")
            .resourceGroupName(example.name())
            .virtualNetworkName(exampleVirtualNetwork.name())
            .addressPrefixes("10.1.0.0/24")
            .build());
        var exampleKubernetesCluster = new KubernetesCluster("exampleKubernetesCluster", KubernetesClusterArgs.builder()
            .name("example-aks")
            .location(example.location())
            .resourceGroupName(example.name())
            .dnsPrefixPrivateCluster("prefix")
            .defaultNodePool(KubernetesClusterDefaultNodePoolArgs.builder()
                .name("default")
                .nodeCount(3)
                .vmSize("Standard_D3_v2")
                .vnetSubnetId(exampleSubnet.id())
                .build())
            .identity(KubernetesClusterIdentityArgs.builder()
                .type("SystemAssigned")
                .build())
            .build());
        var exampleInferenceCluster = new InferenceCluster("exampleInferenceCluster", InferenceClusterArgs.builder()
            .name("example")
            .location(example.location())
            .clusterPurpose("FastProd")
            .kubernetesClusterId(exampleKubernetesCluster.id())
            .description("This is an example cluster used with Terraform")
            .machineLearningWorkspaceId(exampleWorkspace.id())
            .tags(Map.of("stage", "example"))
            .build());
    }
}
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resources:
  example:
    type: azure:core:ResourceGroup
    properties:
      name: example-rg
      location: west europe
      tags:
        stage: example
  exampleInsights:
    type: azure:appinsights:Insights
    name: example
    properties:
      name: example-ai
      location: ${example.location}
      resourceGroupName: ${example.name}
      applicationType: web
  exampleKeyVault:
    type: azure:keyvault:KeyVault
    name: example
    properties:
      name: example-kv
      location: ${example.location}
      resourceGroupName: ${example.name}
      tenantId: ${current.tenantId}
      skuName: standard
      purgeProtectionEnabled: true
  exampleAccount:
    type: azure:storage:Account
    name: example
    properties:
      name: examplesa
      location: ${example.location}
      resourceGroupName: ${example.name}
      accountTier: Standard
      accountReplicationType: LRS
  exampleWorkspace:
    type: azure:machinelearning:Workspace
    name: example
    properties:
      name: example-mlw
      location: ${example.location}
      resourceGroupName: ${example.name}
      applicationInsightsId: ${exampleInsights.id}
      keyVaultId: ${exampleKeyVault.id}
      storageAccountId: ${exampleAccount.id}
      identity:
        type: SystemAssigned
  exampleVirtualNetwork:
    type: azure:network:VirtualNetwork
    name: example
    properties:
      name: example-vnet
      addressSpaces:
        - 10.1.0.0/16
      location: ${example.location}
      resourceGroupName: ${example.name}
  exampleSubnet:
    type: azure:network:Subnet
    name: example
    properties:
      name: example-subnet
      resourceGroupName: ${example.name}
      virtualNetworkName: ${exampleVirtualNetwork.name}
      addressPrefixes:
        - 10.1.0.0/24
  exampleKubernetesCluster:
    type: azure:containerservice:KubernetesCluster
    name: example
    properties:
      name: example-aks
      location: ${example.location}
      resourceGroupName: ${example.name}
      dnsPrefixPrivateCluster: prefix
      defaultNodePool:
        name: default
        nodeCount: 3
        vmSize: Standard_D3_v2
        vnetSubnetId: ${exampleSubnet.id}
      identity:
        type: SystemAssigned
  exampleInferenceCluster:
    type: azure:machinelearning:InferenceCluster
    name: example
    properties:
      name: example
      location: ${example.location}
      clusterPurpose: FastProd
      kubernetesClusterId: ${exampleKubernetesCluster.id}
      description: This is an example cluster used with Terraform
      machineLearningWorkspaceId: ${exampleWorkspace.id}
      tags:
        stage: example
variables:
  current:
    fn::invoke:
      function: azure:core:getClientConfig
      arguments: {}
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API Providers

This resource uses the following Azure API Providers:

  • Microsoft.ContainerService: 2024-09-01

  • Microsoft.MachineLearningServices: 2024-04-01

Import

Machine Learning Inference Clusters can be imported using the resource id, e.g.

$ pulumi import azure:machinelearning/inferenceCluster:InferenceCluster example /subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/resGroup1/providers/Microsoft.MachineLearningServices/workspaces/workspace1/computes/cluster1
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Constructors

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constructor(clusterPurpose: Output<String>? = null, description: Output<String>? = null, identity: Output<InferenceClusterIdentityArgs>? = null, kubernetesClusterId: Output<String>? = null, location: Output<String>? = null, machineLearningWorkspaceId: Output<String>? = null, name: Output<String>? = null, ssl: Output<InferenceClusterSslArgs>? = null, tags: Output<Map<String, String>>? = null)

Properties

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val clusterPurpose: Output<String>? = null

The purpose of the Inference Cluster. Options are DevTest, DenseProd and FastProd. If used for Development or Testing, use DevTest here. Default purpose is FastProd, which is recommended for production workloads. Changing this forces a new Machine Learning Inference Cluster to be created.

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val description: Output<String>? = null

The description of the Machine Learning Inference Cluster. Changing this forces a new Machine Learning Inference Cluster to be created.

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val identity: Output<InferenceClusterIdentityArgs>? = null

An identity block as defined below. Changing this forces a new Machine Learning Inference Cluster to be created.

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val kubernetesClusterId: Output<String>? = null

The ID of the Kubernetes Cluster. Changing this forces a new Machine Learning Inference Cluster to be created.

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val location: Output<String>? = null

The Azure Region where the Machine Learning Inference Cluster should exist. Changing this forces a new Machine Learning Inference Cluster to be created.

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val machineLearningWorkspaceId: Output<String>? = null

The ID of the Machine Learning Workspace. Changing this forces a new Machine Learning Inference Cluster to be created.

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val name: Output<String>? = null

The name which should be used for this Machine Learning Inference Cluster. Changing this forces a new Machine Learning Inference Cluster to be created.

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val ssl: Output<InferenceClusterSslArgs>? = null

A ssl block as defined below. Changing this forces a new Machine Learning Inference Cluster to be created.

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val tags: Output<Map<String, String>>? = null

A mapping of tags which should be assigned to the Machine Learning Inference Cluster. Changing this forces a new Machine Learning Inference Cluster to be created.

Functions

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open override fun toJava(): InferenceClusterArgs