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

ComputeCluster

class ComputeCluster : KotlinCustomResource

Manages a Machine Learning Compute Cluster.

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: ["10.1.0.0/16"],
    location: example.location,
    resourceGroupName: example.name,
});
const exampleSubnet = new azure.network.Subnet("example", {
    name: "example-subnet",
    resourceGroupName: example.name,
    virtualNetworkName: exampleVirtualNetwork.name,
    addressPrefixes: ["10.1.0.0/24"],
});
const test = new azure.machinelearning.ComputeCluster("test", {
    name: "example",
    location: example.location,
    vmPriority: "LowPriority",
    vmSize: "Standard_DS2_v2",
    machineLearningWorkspaceId: exampleWorkspace.id,
    subnetResourceId: exampleSubnet.id,
    scaleSettings: {
        minNodeCount: 0,
        maxNodeCount: 1,
        scaleDownNodesAfterIdleDuration: "PT30S",
    },
    identity: {
        type: "SystemAssigned",
    },
});
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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=["10.1.0.0/16"],
    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=["10.1.0.0/24"])
test = azure.machinelearning.ComputeCluster("test",
    name="example",
    location=example.location,
    vm_priority="LowPriority",
    vm_size="Standard_DS2_v2",
    machine_learning_workspace_id=example_workspace.id,
    subnet_resource_id=example_subnet.id,
    scale_settings={
        "min_node_count": 0,
        "max_node_count": 1,
        "scale_down_nodes_after_idle_duration": "PT30S",
    },
    identity={
        "type": "SystemAssigned",
    })
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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 test = new Azure.MachineLearning.ComputeCluster("test", new()
    {
        Name = "example",
        Location = example.Location,
        VmPriority = "LowPriority",
        VmSize = "Standard_DS2_v2",
        MachineLearningWorkspaceId = exampleWorkspace.Id,
        SubnetResourceId = exampleSubnet.Id,
        ScaleSettings = new Azure.MachineLearning.Inputs.ComputeClusterScaleSettingsArgs
        {
            MinNodeCount = 0,
            MaxNodeCount = 1,
            ScaleDownNodesAfterIdleDuration = "PT30S",
        },
        Identity = new Azure.MachineLearning.Inputs.ComputeClusterIdentityArgs
        {
            Type = "SystemAssigned",
        },
    });
});
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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/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
		}
		_, err = machinelearning.NewComputeCluster(ctx, "test", &machinelearning.ComputeClusterArgs{
			Name:                       pulumi.String("example"),
			Location:                   example.Location,
			VmPriority:                 pulumi.String("LowPriority"),
			VmSize:                     pulumi.String("Standard_DS2_v2"),
			MachineLearningWorkspaceId: exampleWorkspace.ID(),
			SubnetResourceId:           exampleSubnet.ID(),
			ScaleSettings: &machinelearning.ComputeClusterScaleSettingsArgs{
				MinNodeCount:                    pulumi.Int(0),
				MaxNodeCount:                    pulumi.Int(1),
				ScaleDownNodesAfterIdleDuration: pulumi.String("PT30S"),
			},
			Identity: &machinelearning.ComputeClusterIdentityArgs{
				Type: pulumi.String("SystemAssigned"),
			},
		})
		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.machinelearning.ComputeCluster;
import com.pulumi.azure.machinelearning.ComputeClusterArgs;
import com.pulumi.azure.machinelearning.inputs.ComputeClusterScaleSettingsArgs;
import com.pulumi.azure.machinelearning.inputs.ComputeClusterIdentityArgs;
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 test = new ComputeCluster("test", ComputeClusterArgs.builder()
            .name("example")
            .location(example.location())
            .vmPriority("LowPriority")
            .vmSize("Standard_DS2_v2")
            .machineLearningWorkspaceId(exampleWorkspace.id())
            .subnetResourceId(exampleSubnet.id())
            .scaleSettings(ComputeClusterScaleSettingsArgs.builder()
                .minNodeCount(0)
                .maxNodeCount(1)
                .scaleDownNodesAfterIdleDuration("PT30S")
                .build())
            .identity(ComputeClusterIdentityArgs.builder()
                .type("SystemAssigned")
                .build())
            .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
  test:
    type: azure:machinelearning:ComputeCluster
    properties:
      name: example
      location: ${example.location}
      vmPriority: LowPriority
      vmSize: Standard_DS2_v2
      machineLearningWorkspaceId: ${exampleWorkspace.id}
      subnetResourceId: ${exampleSubnet.id}
      scaleSettings:
        minNodeCount: 0
        maxNodeCount: 1
        scaleDownNodesAfterIdleDuration: PT30S
      identity:
        type: SystemAssigned
variables:
  current:
    fn::invoke:
      function: azure:core:getClientConfig
      arguments: {}
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API Providers

This resource uses the following Azure API Providers:

  • Microsoft.MachineLearningServices: 2024-04-01

Import

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

$ pulumi import azure:machinelearning/computeCluster:ComputeCluster example /subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/resGroup1/providers/Microsoft.MachineLearningServices/workspaces/workspace1/computes/cluster1
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Properties

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val description: Output<String>?

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

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val id: Output<String>
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val identity: Output<ComputeClusterIdentity>?

An identity block as defined below.

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val localAuthEnabled: Output<Boolean>?

Whether local authentication methods is enabled. Defaults to true. Changing this forces a new Machine Learning Compute Cluster to be created.

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val location: Output<String>

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

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val machineLearningWorkspaceId: Output<String>

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

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val name: Output<String>

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

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val nodePublicIpEnabled: Output<Boolean>?

Whether the compute cluster will have a public ip. Defaults to true. Changing this forces a new Machine Learning Compute Cluster to be created.

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val pulumiChildResources: Set<KotlinResource>
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val scaleSettings: Output<ComputeClusterScaleSettings>

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

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val ssh: Output<ComputeClusterSsh>?

Credentials for an administrator user account that will be created on each compute node. A ssh block as defined below. Changing this forces a new Machine Learning Compute Cluster to be created.

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val sshPublicAccessEnabled: Output<Boolean>?

A boolean value indicating whether enable the public SSH port. Defaults to false. Changing this forces a new Machine Learning Compute Cluster to be created.

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val subnetResourceId: Output<String>

The ID of the Subnet that the Compute Cluster should reside in. Changing this forces a new Machine Learning Compute Cluster to be created.

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

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

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val urn: Output<String>
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val vmPriority: Output<String>

The priority of the VM. Changing this forces a new Machine Learning Compute Cluster to be created. Accepted values are Dedicated and LowPriority.

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val vmSize: Output<String>

The size of the VM. Changing this forces a new Machine Learning Compute Cluster to be created.