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  5. ComputeInstance

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Azure v6.22.0 published on Tuesday, Apr 1, 2025 by Pulumi
pulumi/pulumi-azure

azure.machinelearning.ComputeInstance

Explore with Pulumi AI

We recommend using Azure Native.

Azure v6.22.0 published on Tuesday, Apr 1, 2025 by Pulumi
pulumi/pulumi-azure

Manages a Machine Learning Compute Instance.

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 config = new pulumi.Config();
const sshKey = config.get("sshKey") || "ssh-rsa AAAAB3NzaC1yc2EAAAADAQABAAABAQCqaZoyiz1qbdOQ8xEf6uEu1cCwYowo5FHtsBhqLoDnnp7KUTEBN+L2NxRIfQ781rxV6Iq5jSav6b2Q8z5KiseOlvKA/RF2wqU0UPYqQviQhLmW6THTpmrv/YkUCuzxDpsH7DUDhZcwySLKVVe0Qm3+5N2Ta6UYH3lsDf9R9wTP2K/+vAnflKebuypNlmocIvakFWoZda18FOmsOoIVXQ8HWFNCuw9ZCunMSN62QGamCe3dL5cXlkgHYv7ekJE15IA9aOJcM7e90oeTqo+7HTcWfdu0qQqPWY5ujyMw/llas8tsXY85LFqRnr3gJ02bAscjc477+X+j/gkpFoN1QEmt terraform@demo.tld";
const exampleComputeInstance = new azure.machinelearning.ComputeInstance("example", {
    name: "example",
    machineLearningWorkspaceId: exampleWorkspace.id,
    virtualMachineSize: "STANDARD_DS2_V2",
    authorizationType: "personal",
    ssh: {
        publicKey: sshKey,
    },
    subnetResourceId: exampleSubnet.id,
    description: "foo",
    tags: {
        foo: "bar",
    },
});
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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"])
config = pulumi.Config()
ssh_key = config.get("sshKey")
if ssh_key is None:
    ssh_key = "ssh-rsa AAAAB3NzaC1yc2EAAAADAQABAAABAQCqaZoyiz1qbdOQ8xEf6uEu1cCwYowo5FHtsBhqLoDnnp7KUTEBN+L2NxRIfQ781rxV6Iq5jSav6b2Q8z5KiseOlvKA/RF2wqU0UPYqQviQhLmW6THTpmrv/YkUCuzxDpsH7DUDhZcwySLKVVe0Qm3+5N2Ta6UYH3lsDf9R9wTP2K/+vAnflKebuypNlmocIvakFWoZda18FOmsOoIVXQ8HWFNCuw9ZCunMSN62QGamCe3dL5cXlkgHYv7ekJE15IA9aOJcM7e90oeTqo+7HTcWfdu0qQqPWY5ujyMw/llas8tsXY85LFqRnr3gJ02bAscjc477+X+j/gkpFoN1QEmt terraform@demo.tld"
example_compute_instance = azure.machinelearning.ComputeInstance("example",
    name="example",
    machine_learning_workspace_id=example_workspace.id,
    virtual_machine_size="STANDARD_DS2_V2",
    authorization_type="personal",
    ssh={
        "public_key": ssh_key,
    },
    subnet_resource_id=example_subnet.id,
    description="foo",
    tags={
        "foo": "bar",
    })
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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"
	"github.com/pulumi/pulumi/sdk/v3/go/pulumi/config"
)

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
		}
		cfg := config.New(ctx, "")
		sshKey := "ssh-rsa AAAAB3NzaC1yc2EAAAADAQABAAABAQCqaZoyiz1qbdOQ8xEf6uEu1cCwYowo5FHtsBhqLoDnnp7KUTEBN+L2NxRIfQ781rxV6Iq5jSav6b2Q8z5KiseOlvKA/RF2wqU0UPYqQviQhLmW6THTpmrv/YkUCuzxDpsH7DUDhZcwySLKVVe0Qm3+5N2Ta6UYH3lsDf9R9wTP2K/+vAnflKebuypNlmocIvakFWoZda18FOmsOoIVXQ8HWFNCuw9ZCunMSN62QGamCe3dL5cXlkgHYv7ekJE15IA9aOJcM7e90oeTqo+7HTcWfdu0qQqPWY5ujyMw/llas8tsXY85LFqRnr3gJ02bAscjc477+X+j/gkpFoN1QEmt terraform@demo.tld"
		if param := cfg.Get("sshKey"); param != "" {
			sshKey = param
		}
		_, err = machinelearning.NewComputeInstance(ctx, "example", &machinelearning.ComputeInstanceArgs{
			Name:                       pulumi.String("example"),
			MachineLearningWorkspaceId: exampleWorkspace.ID(),
			VirtualMachineSize:         pulumi.String("STANDARD_DS2_V2"),
			AuthorizationType:          pulumi.String("personal"),
			Ssh: &machinelearning.ComputeInstanceSshArgs{
				PublicKey: pulumi.String(sshKey),
			},
			SubnetResourceId: exampleSubnet.ID(),
			Description:      pulumi.String("foo"),
			Tags: pulumi.StringMap{
				"foo": pulumi.String("bar"),
			},
		})
		if err != nil {
			return err
		}
		return nil
	})
}
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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 config = new Config();
    var sshKey = config.Get("sshKey") ?? "ssh-rsa AAAAB3NzaC1yc2EAAAADAQABAAABAQCqaZoyiz1qbdOQ8xEf6uEu1cCwYowo5FHtsBhqLoDnnp7KUTEBN+L2NxRIfQ781rxV6Iq5jSav6b2Q8z5KiseOlvKA/RF2wqU0UPYqQviQhLmW6THTpmrv/YkUCuzxDpsH7DUDhZcwySLKVVe0Qm3+5N2Ta6UYH3lsDf9R9wTP2K/+vAnflKebuypNlmocIvakFWoZda18FOmsOoIVXQ8HWFNCuw9ZCunMSN62QGamCe3dL5cXlkgHYv7ekJE15IA9aOJcM7e90oeTqo+7HTcWfdu0qQqPWY5ujyMw/llas8tsXY85LFqRnr3gJ02bAscjc477+X+j/gkpFoN1QEmt terraform@demo.tld";
    var exampleComputeInstance = new Azure.MachineLearning.ComputeInstance("example", new()
    {
        Name = "example",
        MachineLearningWorkspaceId = exampleWorkspace.Id,
        VirtualMachineSize = "STANDARD_DS2_V2",
        AuthorizationType = "personal",
        Ssh = new Azure.MachineLearning.Inputs.ComputeInstanceSshArgs
        {
            PublicKey = sshKey,
        },
        SubnetResourceId = exampleSubnet.Id,
        Description = "foo",
        Tags = 
        {
            { "foo", "bar" },
        },
    });

});
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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.ComputeInstance;
import com.pulumi.azure.machinelearning.ComputeInstanceArgs;
import com.pulumi.azure.machinelearning.inputs.ComputeInstanceSshArgs;
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 config = ctx.config();
        final var current = CoreFunctions.getClientConfig();

        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.applyValue(getClientConfigResult -> getClientConfigResult.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());

        final var sshKey = config.get("sshKey").orElse("ssh-rsa AAAAB3NzaC1yc2EAAAADAQABAAABAQCqaZoyiz1qbdOQ8xEf6uEu1cCwYowo5FHtsBhqLoDnnp7KUTEBN+L2NxRIfQ781rxV6Iq5jSav6b2Q8z5KiseOlvKA/RF2wqU0UPYqQviQhLmW6THTpmrv/YkUCuzxDpsH7DUDhZcwySLKVVe0Qm3+5N2Ta6UYH3lsDf9R9wTP2K/+vAnflKebuypNlmocIvakFWoZda18FOmsOoIVXQ8HWFNCuw9ZCunMSN62QGamCe3dL5cXlkgHYv7ekJE15IA9aOJcM7e90oeTqo+7HTcWfdu0qQqPWY5ujyMw/llas8tsXY85LFqRnr3gJ02bAscjc477+X+j/gkpFoN1QEmt terraform@demo.tld");
        var exampleComputeInstance = new ComputeInstance("exampleComputeInstance", ComputeInstanceArgs.builder()
            .name("example")
            .machineLearningWorkspaceId(exampleWorkspace.id())
            .virtualMachineSize("STANDARD_DS2_V2")
            .authorizationType("personal")
            .ssh(ComputeInstanceSshArgs.builder()
                .publicKey(sshKey)
                .build())
            .subnetResourceId(exampleSubnet.id())
            .description("foo")
            .tags(Map.of("foo", "bar"))
            .build());

    }
}
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configuration:
  sshKey:
    type: string
    default: ssh-rsa AAAAB3NzaC1yc2EAAAADAQABAAABAQCqaZoyiz1qbdOQ8xEf6uEu1cCwYowo5FHtsBhqLoDnnp7KUTEBN+L2NxRIfQ781rxV6Iq5jSav6b2Q8z5KiseOlvKA/RF2wqU0UPYqQviQhLmW6THTpmrv/YkUCuzxDpsH7DUDhZcwySLKVVe0Qm3+5N2Ta6UYH3lsDf9R9wTP2K/+vAnflKebuypNlmocIvakFWoZda18FOmsOoIVXQ8HWFNCuw9ZCunMSN62QGamCe3dL5cXlkgHYv7ekJE15IA9aOJcM7e90oeTqo+7HTcWfdu0qQqPWY5ujyMw/llas8tsXY85LFqRnr3gJ02bAscjc477+X+j/gkpFoN1QEmt terraform@demo.tld
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
  exampleComputeInstance:
    type: azure:machinelearning:ComputeInstance
    name: example
    properties:
      name: example
      machineLearningWorkspaceId: ${exampleWorkspace.id}
      virtualMachineSize: STANDARD_DS2_V2
      authorizationType: personal
      ssh:
        publicKey: ${sshKey}
      subnetResourceId: ${exampleSubnet.id}
      description: foo
      tags:
        foo: bar
variables:
  current:
    fn::invoke:
      function: azure:core:getClientConfig
      arguments: {}
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Create ComputeInstance Resource

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

Constructor syntax

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

@overload
def ComputeInstance(resource_name: str,
                    opts: Optional[ResourceOptions] = None,
                    machine_learning_workspace_id: Optional[str] = None,
                    virtual_machine_size: Optional[str] = None,
                    assign_to_user: Optional[ComputeInstanceAssignToUserArgs] = None,
                    authorization_type: Optional[str] = None,
                    description: Optional[str] = None,
                    identity: Optional[ComputeInstanceIdentityArgs] = None,
                    local_auth_enabled: Optional[bool] = None,
                    name: Optional[str] = None,
                    node_public_ip_enabled: Optional[bool] = None,
                    ssh: Optional[ComputeInstanceSshArgs] = None,
                    subnet_resource_id: Optional[str] = None,
                    tags: Optional[Mapping[str, str]] = None)
func NewComputeInstance(ctx *Context, name string, args ComputeInstanceArgs, opts ...ResourceOption) (*ComputeInstance, error)
public ComputeInstance(string name, ComputeInstanceArgs args, CustomResourceOptions? opts = null)
public ComputeInstance(String name, ComputeInstanceArgs args)
public ComputeInstance(String name, ComputeInstanceArgs args, CustomResourceOptions options)

type: azure:machinelearning:ComputeInstance
properties: # The arguments to resource properties.
options: # Bag of options to control resource's behavior.

Parameters

name This property is required. string
The unique name of the resource.
args This property is required. ComputeInstanceArgs
The arguments to resource properties.
opts CustomResourceOptions
Bag of options to control resource's behavior.
resource_name This property is required. str
The unique name of the resource.
args This property is required. ComputeInstanceArgs
The arguments to resource properties.
opts ResourceOptions
Bag of options to control resource's behavior.
ctx Context
Context object for the current deployment.
name This property is required. string
The unique name of the resource.
args This property is required. ComputeInstanceArgs
The arguments to resource properties.
opts ResourceOption
Bag of options to control resource's behavior.
name This property is required. string
The unique name of the resource.
args This property is required. ComputeInstanceArgs
The arguments to resource properties.
opts CustomResourceOptions
Bag of options to control resource's behavior.
name This property is required. String
The unique name of the resource.
args This property is required. ComputeInstanceArgs
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 computeInstanceResource = new Azure.MachineLearning.ComputeInstance("computeInstanceResource", new()
{
    MachineLearningWorkspaceId = "string",
    VirtualMachineSize = "string",
    AssignToUser = new Azure.MachineLearning.Inputs.ComputeInstanceAssignToUserArgs
    {
        ObjectId = "string",
        TenantId = "string",
    },
    AuthorizationType = "string",
    Description = "string",
    Identity = new Azure.MachineLearning.Inputs.ComputeInstanceIdentityArgs
    {
        Type = "string",
        IdentityIds = new[]
        {
            "string",
        },
        PrincipalId = "string",
        TenantId = "string",
    },
    LocalAuthEnabled = false,
    Name = "string",
    NodePublicIpEnabled = false,
    Ssh = new Azure.MachineLearning.Inputs.ComputeInstanceSshArgs
    {
        PublicKey = "string",
        Port = 0,
        Username = "string",
    },
    SubnetResourceId = "string",
    Tags = 
    {
        { "string", "string" },
    },
});
Copy
example, err := machinelearning.NewComputeInstance(ctx, "computeInstanceResource", &machinelearning.ComputeInstanceArgs{
	MachineLearningWorkspaceId: pulumi.String("string"),
	VirtualMachineSize:         pulumi.String("string"),
	AssignToUser: &machinelearning.ComputeInstanceAssignToUserArgs{
		ObjectId: pulumi.String("string"),
		TenantId: pulumi.String("string"),
	},
	AuthorizationType: pulumi.String("string"),
	Description:       pulumi.String("string"),
	Identity: &machinelearning.ComputeInstanceIdentityArgs{
		Type: pulumi.String("string"),
		IdentityIds: pulumi.StringArray{
			pulumi.String("string"),
		},
		PrincipalId: pulumi.String("string"),
		TenantId:    pulumi.String("string"),
	},
	LocalAuthEnabled:    pulumi.Bool(false),
	Name:                pulumi.String("string"),
	NodePublicIpEnabled: pulumi.Bool(false),
	Ssh: &machinelearning.ComputeInstanceSshArgs{
		PublicKey: pulumi.String("string"),
		Port:      pulumi.Int(0),
		Username:  pulumi.String("string"),
	},
	SubnetResourceId: pulumi.String("string"),
	Tags: pulumi.StringMap{
		"string": pulumi.String("string"),
	},
})
Copy
var computeInstanceResource = new ComputeInstance("computeInstanceResource", ComputeInstanceArgs.builder()
    .machineLearningWorkspaceId("string")
    .virtualMachineSize("string")
    .assignToUser(ComputeInstanceAssignToUserArgs.builder()
        .objectId("string")
        .tenantId("string")
        .build())
    .authorizationType("string")
    .description("string")
    .identity(ComputeInstanceIdentityArgs.builder()
        .type("string")
        .identityIds("string")
        .principalId("string")
        .tenantId("string")
        .build())
    .localAuthEnabled(false)
    .name("string")
    .nodePublicIpEnabled(false)
    .ssh(ComputeInstanceSshArgs.builder()
        .publicKey("string")
        .port(0)
        .username("string")
        .build())
    .subnetResourceId("string")
    .tags(Map.of("string", "string"))
    .build());
Copy
compute_instance_resource = azure.machinelearning.ComputeInstance("computeInstanceResource",
    machine_learning_workspace_id="string",
    virtual_machine_size="string",
    assign_to_user={
        "object_id": "string",
        "tenant_id": "string",
    },
    authorization_type="string",
    description="string",
    identity={
        "type": "string",
        "identity_ids": ["string"],
        "principal_id": "string",
        "tenant_id": "string",
    },
    local_auth_enabled=False,
    name="string",
    node_public_ip_enabled=False,
    ssh={
        "public_key": "string",
        "port": 0,
        "username": "string",
    },
    subnet_resource_id="string",
    tags={
        "string": "string",
    })
Copy
const computeInstanceResource = new azure.machinelearning.ComputeInstance("computeInstanceResource", {
    machineLearningWorkspaceId: "string",
    virtualMachineSize: "string",
    assignToUser: {
        objectId: "string",
        tenantId: "string",
    },
    authorizationType: "string",
    description: "string",
    identity: {
        type: "string",
        identityIds: ["string"],
        principalId: "string",
        tenantId: "string",
    },
    localAuthEnabled: false,
    name: "string",
    nodePublicIpEnabled: false,
    ssh: {
        publicKey: "string",
        port: 0,
        username: "string",
    },
    subnetResourceId: "string",
    tags: {
        string: "string",
    },
});
Copy
type: azure:machinelearning:ComputeInstance
properties:
    assignToUser:
        objectId: string
        tenantId: string
    authorizationType: string
    description: string
    identity:
        identityIds:
            - string
        principalId: string
        tenantId: string
        type: string
    localAuthEnabled: false
    machineLearningWorkspaceId: string
    name: string
    nodePublicIpEnabled: false
    ssh:
        port: 0
        publicKey: string
        username: string
    subnetResourceId: string
    tags:
        string: string
    virtualMachineSize: string
Copy

ComputeInstance 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 ComputeInstance resource accepts the following input properties:

MachineLearningWorkspaceId
This property is required.
Changes to this property will trigger replacement.
string
The ID of the Machine Learning Workspace. Changing this forces a new Machine Learning Compute Instance to be created.
VirtualMachineSize
This property is required.
Changes to this property will trigger replacement.
string
The Virtual Machine Size. Changing this forces a new Machine Learning Compute Instance to be created.
AssignToUser Changes to this property will trigger replacement. ComputeInstanceAssignToUser
A assign_to_user block as defined below. A user explicitly assigned to a personal compute instance. Changing this forces a new Machine Learning Compute Instance to be created.
AuthorizationType Changes to this property will trigger replacement. string
The Compute Instance Authorization type. Possible values include: personal. Changing this forces a new Machine Learning Compute Instance to be created.
Description Changes to this property will trigger replacement. string
The description of the Machine Learning Compute Instance. Changing this forces a new Machine Learning Compute Instance to be created.
Identity Changes to this property will trigger replacement. ComputeInstanceIdentity
An identity block as defined below. Changing this forces a new Machine Learning Compute Instance to be created.
LocalAuthEnabled Changes to this property will trigger replacement. bool
Whether local authentication methods is enabled. Defaults to true. Changing this forces a new Machine Learning Compute Instance to be created.
Name Changes to this property will trigger replacement. string
The name which should be used for this Machine Learning Compute Instance. Changing this forces a new Machine Learning Compute Instance to be created.
NodePublicIpEnabled Changes to this property will trigger replacement. bool
Whether the compute instance will have a public ip. To set this to false a subnet_resource_id needs to be set. Defaults to true. Changing this forces a new Machine Learning Compute Cluster to be created.
Ssh Changes to this property will trigger replacement. ComputeInstanceSsh
A ssh block as defined below. Specifies policy and settings for SSH access. Changing this forces a new Machine Learning Compute Instance to be created.
SubnetResourceId Changes to this property will trigger replacement. string
Virtual network subnet resource ID the compute nodes belong to. Changing this forces a new Machine Learning Compute Instance to be created.
Tags Changes to this property will trigger replacement. Dictionary<string, string>
A mapping of tags which should be assigned to the Machine Learning Compute Instance. Changing this forces a new Machine Learning Compute Instance to be created.
MachineLearningWorkspaceId
This property is required.
Changes to this property will trigger replacement.
string
The ID of the Machine Learning Workspace. Changing this forces a new Machine Learning Compute Instance to be created.
VirtualMachineSize
This property is required.
Changes to this property will trigger replacement.
string
The Virtual Machine Size. Changing this forces a new Machine Learning Compute Instance to be created.
AssignToUser Changes to this property will trigger replacement. ComputeInstanceAssignToUserArgs
A assign_to_user block as defined below. A user explicitly assigned to a personal compute instance. Changing this forces a new Machine Learning Compute Instance to be created.
AuthorizationType Changes to this property will trigger replacement. string
The Compute Instance Authorization type. Possible values include: personal. Changing this forces a new Machine Learning Compute Instance to be created.
Description Changes to this property will trigger replacement. string
The description of the Machine Learning Compute Instance. Changing this forces a new Machine Learning Compute Instance to be created.
Identity Changes to this property will trigger replacement. ComputeInstanceIdentityArgs
An identity block as defined below. Changing this forces a new Machine Learning Compute Instance to be created.
LocalAuthEnabled Changes to this property will trigger replacement. bool
Whether local authentication methods is enabled. Defaults to true. Changing this forces a new Machine Learning Compute Instance to be created.
Name Changes to this property will trigger replacement. string
The name which should be used for this Machine Learning Compute Instance. Changing this forces a new Machine Learning Compute Instance to be created.
NodePublicIpEnabled Changes to this property will trigger replacement. bool
Whether the compute instance will have a public ip. To set this to false a subnet_resource_id needs to be set. Defaults to true. Changing this forces a new Machine Learning Compute Cluster to be created.
Ssh Changes to this property will trigger replacement. ComputeInstanceSshArgs
A ssh block as defined below. Specifies policy and settings for SSH access. Changing this forces a new Machine Learning Compute Instance to be created.
SubnetResourceId Changes to this property will trigger replacement. string
Virtual network subnet resource ID the compute nodes belong to. Changing this forces a new Machine Learning Compute Instance to be created.
Tags Changes to this property will trigger replacement. map[string]string
A mapping of tags which should be assigned to the Machine Learning Compute Instance. Changing this forces a new Machine Learning Compute Instance to be created.
machineLearningWorkspaceId
This property is required.
Changes to this property will trigger replacement.
String
The ID of the Machine Learning Workspace. Changing this forces a new Machine Learning Compute Instance to be created.
virtualMachineSize
This property is required.
Changes to this property will trigger replacement.
String
The Virtual Machine Size. Changing this forces a new Machine Learning Compute Instance to be created.
assignToUser Changes to this property will trigger replacement. ComputeInstanceAssignToUser
A assign_to_user block as defined below. A user explicitly assigned to a personal compute instance. Changing this forces a new Machine Learning Compute Instance to be created.
authorizationType Changes to this property will trigger replacement. String
The Compute Instance Authorization type. Possible values include: personal. Changing this forces a new Machine Learning Compute Instance to be created.
description Changes to this property will trigger replacement. String
The description of the Machine Learning Compute Instance. Changing this forces a new Machine Learning Compute Instance to be created.
identity Changes to this property will trigger replacement. ComputeInstanceIdentity
An identity block as defined below. Changing this forces a new Machine Learning Compute Instance to be created.
localAuthEnabled Changes to this property will trigger replacement. Boolean
Whether local authentication methods is enabled. Defaults to true. Changing this forces a new Machine Learning Compute Instance to be created.
name Changes to this property will trigger replacement. String
The name which should be used for this Machine Learning Compute Instance. Changing this forces a new Machine Learning Compute Instance to be created.
nodePublicIpEnabled Changes to this property will trigger replacement. Boolean
Whether the compute instance will have a public ip. To set this to false a subnet_resource_id needs to be set. Defaults to true. Changing this forces a new Machine Learning Compute Cluster to be created.
ssh Changes to this property will trigger replacement. ComputeInstanceSsh
A ssh block as defined below. Specifies policy and settings for SSH access. Changing this forces a new Machine Learning Compute Instance to be created.
subnetResourceId Changes to this property will trigger replacement. String
Virtual network subnet resource ID the compute nodes belong to. Changing this forces a new Machine Learning Compute Instance to be created.
tags Changes to this property will trigger replacement. Map<String,String>
A mapping of tags which should be assigned to the Machine Learning Compute Instance. Changing this forces a new Machine Learning Compute Instance to be created.
machineLearningWorkspaceId
This property is required.
Changes to this property will trigger replacement.
string
The ID of the Machine Learning Workspace. Changing this forces a new Machine Learning Compute Instance to be created.
virtualMachineSize
This property is required.
Changes to this property will trigger replacement.
string
The Virtual Machine Size. Changing this forces a new Machine Learning Compute Instance to be created.
assignToUser Changes to this property will trigger replacement. ComputeInstanceAssignToUser
A assign_to_user block as defined below. A user explicitly assigned to a personal compute instance. Changing this forces a new Machine Learning Compute Instance to be created.
authorizationType Changes to this property will trigger replacement. string
The Compute Instance Authorization type. Possible values include: personal. Changing this forces a new Machine Learning Compute Instance to be created.
description Changes to this property will trigger replacement. string
The description of the Machine Learning Compute Instance. Changing this forces a new Machine Learning Compute Instance to be created.
identity Changes to this property will trigger replacement. ComputeInstanceIdentity
An identity block as defined below. Changing this forces a new Machine Learning Compute Instance to be created.
localAuthEnabled Changes to this property will trigger replacement. boolean
Whether local authentication methods is enabled. Defaults to true. Changing this forces a new Machine Learning Compute Instance to be created.
name Changes to this property will trigger replacement. string
The name which should be used for this Machine Learning Compute Instance. Changing this forces a new Machine Learning Compute Instance to be created.
nodePublicIpEnabled Changes to this property will trigger replacement. boolean
Whether the compute instance will have a public ip. To set this to false a subnet_resource_id needs to be set. Defaults to true. Changing this forces a new Machine Learning Compute Cluster to be created.
ssh Changes to this property will trigger replacement. ComputeInstanceSsh
A ssh block as defined below. Specifies policy and settings for SSH access. Changing this forces a new Machine Learning Compute Instance to be created.
subnetResourceId Changes to this property will trigger replacement. string
Virtual network subnet resource ID the compute nodes belong to. Changing this forces a new Machine Learning Compute Instance to be created.
tags Changes to this property will trigger replacement. {[key: string]: string}
A mapping of tags which should be assigned to the Machine Learning Compute Instance. Changing this forces a new Machine Learning Compute Instance to be created.
machine_learning_workspace_id
This property is required.
Changes to this property will trigger replacement.
str
The ID of the Machine Learning Workspace. Changing this forces a new Machine Learning Compute Instance to be created.
virtual_machine_size
This property is required.
Changes to this property will trigger replacement.
str
The Virtual Machine Size. Changing this forces a new Machine Learning Compute Instance to be created.
assign_to_user Changes to this property will trigger replacement. ComputeInstanceAssignToUserArgs
A assign_to_user block as defined below. A user explicitly assigned to a personal compute instance. Changing this forces a new Machine Learning Compute Instance to be created.
authorization_type Changes to this property will trigger replacement. str
The Compute Instance Authorization type. Possible values include: personal. Changing this forces a new Machine Learning Compute Instance to be created.
description Changes to this property will trigger replacement. str
The description of the Machine Learning Compute Instance. Changing this forces a new Machine Learning Compute Instance to be created.
identity Changes to this property will trigger replacement. ComputeInstanceIdentityArgs
An identity block as defined below. Changing this forces a new Machine Learning Compute Instance to be created.
local_auth_enabled Changes to this property will trigger replacement. bool
Whether local authentication methods is enabled. Defaults to true. Changing this forces a new Machine Learning Compute Instance to be created.
name Changes to this property will trigger replacement. str
The name which should be used for this Machine Learning Compute Instance. Changing this forces a new Machine Learning Compute Instance to be created.
node_public_ip_enabled Changes to this property will trigger replacement. bool
Whether the compute instance will have a public ip. To set this to false a subnet_resource_id needs to be set. Defaults to true. Changing this forces a new Machine Learning Compute Cluster to be created.
ssh Changes to this property will trigger replacement. ComputeInstanceSshArgs
A ssh block as defined below. Specifies policy and settings for SSH access. Changing this forces a new Machine Learning Compute Instance to be created.
subnet_resource_id Changes to this property will trigger replacement. str
Virtual network subnet resource ID the compute nodes belong to. Changing this forces a new Machine Learning Compute Instance to be created.
tags Changes to this property will trigger replacement. Mapping[str, str]
A mapping of tags which should be assigned to the Machine Learning Compute Instance. Changing this forces a new Machine Learning Compute Instance to be created.
machineLearningWorkspaceId
This property is required.
Changes to this property will trigger replacement.
String
The ID of the Machine Learning Workspace. Changing this forces a new Machine Learning Compute Instance to be created.
virtualMachineSize
This property is required.
Changes to this property will trigger replacement.
String
The Virtual Machine Size. Changing this forces a new Machine Learning Compute Instance to be created.
assignToUser Changes to this property will trigger replacement. Property Map
A assign_to_user block as defined below. A user explicitly assigned to a personal compute instance. Changing this forces a new Machine Learning Compute Instance to be created.
authorizationType Changes to this property will trigger replacement. String
The Compute Instance Authorization type. Possible values include: personal. Changing this forces a new Machine Learning Compute Instance to be created.
description Changes to this property will trigger replacement. String
The description of the Machine Learning Compute Instance. Changing this forces a new Machine Learning Compute Instance to be created.
identity Changes to this property will trigger replacement. Property Map
An identity block as defined below. Changing this forces a new Machine Learning Compute Instance to be created.
localAuthEnabled Changes to this property will trigger replacement. Boolean
Whether local authentication methods is enabled. Defaults to true. Changing this forces a new Machine Learning Compute Instance to be created.
name Changes to this property will trigger replacement. String
The name which should be used for this Machine Learning Compute Instance. Changing this forces a new Machine Learning Compute Instance to be created.
nodePublicIpEnabled Changes to this property will trigger replacement. Boolean
Whether the compute instance will have a public ip. To set this to false a subnet_resource_id needs to be set. Defaults to true. Changing this forces a new Machine Learning Compute Cluster to be created.
ssh Changes to this property will trigger replacement. Property Map
A ssh block as defined below. Specifies policy and settings for SSH access. Changing this forces a new Machine Learning Compute Instance to be created.
subnetResourceId Changes to this property will trigger replacement. String
Virtual network subnet resource ID the compute nodes belong to. Changing this forces a new Machine Learning Compute Instance to be created.
tags Changes to this property will trigger replacement. Map<String>
A mapping of tags which should be assigned to the Machine Learning Compute Instance. Changing this forces a new Machine Learning Compute Instance to be created.

Outputs

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

Id string
The provider-assigned unique ID for this managed resource.
Id string
The provider-assigned unique ID for this managed resource.
id String
The provider-assigned unique ID for this managed resource.
id string
The provider-assigned unique ID for this managed resource.
id str
The provider-assigned unique ID for this managed resource.
id String
The provider-assigned unique ID for this managed resource.

Look up Existing ComputeInstance Resource

Get an existing ComputeInstance 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?: ComputeInstanceState, opts?: CustomResourceOptions): ComputeInstance
@staticmethod
def get(resource_name: str,
        id: str,
        opts: Optional[ResourceOptions] = None,
        assign_to_user: Optional[ComputeInstanceAssignToUserArgs] = None,
        authorization_type: Optional[str] = None,
        description: Optional[str] = None,
        identity: Optional[ComputeInstanceIdentityArgs] = None,
        local_auth_enabled: Optional[bool] = None,
        machine_learning_workspace_id: Optional[str] = None,
        name: Optional[str] = None,
        node_public_ip_enabled: Optional[bool] = None,
        ssh: Optional[ComputeInstanceSshArgs] = None,
        subnet_resource_id: Optional[str] = None,
        tags: Optional[Mapping[str, str]] = None,
        virtual_machine_size: Optional[str] = None) -> ComputeInstance
func GetComputeInstance(ctx *Context, name string, id IDInput, state *ComputeInstanceState, opts ...ResourceOption) (*ComputeInstance, error)
public static ComputeInstance Get(string name, Input<string> id, ComputeInstanceState? state, CustomResourceOptions? opts = null)
public static ComputeInstance get(String name, Output<String> id, ComputeInstanceState state, CustomResourceOptions options)
resources:  _:    type: azure:machinelearning:ComputeInstance    get:      id: ${id}
name This property is required.
The unique name of the resulting resource.
id This property is required.
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 This property is required.
The unique name of the resulting resource.
id This property is required.
The unique provider ID of the resource to lookup.
name This property is required.
The unique name of the resulting resource.
id This property is required.
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 This property is required.
The unique name of the resulting resource.
id This property is required.
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 This property is required.
The unique name of the resulting resource.
id This property is required.
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:
AssignToUser Changes to this property will trigger replacement. ComputeInstanceAssignToUser
A assign_to_user block as defined below. A user explicitly assigned to a personal compute instance. Changing this forces a new Machine Learning Compute Instance to be created.
AuthorizationType Changes to this property will trigger replacement. string
The Compute Instance Authorization type. Possible values include: personal. Changing this forces a new Machine Learning Compute Instance to be created.
Description Changes to this property will trigger replacement. string
The description of the Machine Learning Compute Instance. Changing this forces a new Machine Learning Compute Instance to be created.
Identity Changes to this property will trigger replacement. ComputeInstanceIdentity
An identity block as defined below. Changing this forces a new Machine Learning Compute Instance to be created.
LocalAuthEnabled Changes to this property will trigger replacement. bool
Whether local authentication methods is enabled. Defaults to true. Changing this forces a new Machine Learning Compute Instance to be created.
MachineLearningWorkspaceId Changes to this property will trigger replacement. string
The ID of the Machine Learning Workspace. Changing this forces a new Machine Learning Compute Instance to be created.
Name Changes to this property will trigger replacement. string
The name which should be used for this Machine Learning Compute Instance. Changing this forces a new Machine Learning Compute Instance to be created.
NodePublicIpEnabled Changes to this property will trigger replacement. bool
Whether the compute instance will have a public ip. To set this to false a subnet_resource_id needs to be set. Defaults to true. Changing this forces a new Machine Learning Compute Cluster to be created.
Ssh Changes to this property will trigger replacement. ComputeInstanceSsh
A ssh block as defined below. Specifies policy and settings for SSH access. Changing this forces a new Machine Learning Compute Instance to be created.
SubnetResourceId Changes to this property will trigger replacement. string
Virtual network subnet resource ID the compute nodes belong to. Changing this forces a new Machine Learning Compute Instance to be created.
Tags Changes to this property will trigger replacement. Dictionary<string, string>
A mapping of tags which should be assigned to the Machine Learning Compute Instance. Changing this forces a new Machine Learning Compute Instance to be created.
VirtualMachineSize Changes to this property will trigger replacement. string
The Virtual Machine Size. Changing this forces a new Machine Learning Compute Instance to be created.
AssignToUser Changes to this property will trigger replacement. ComputeInstanceAssignToUserArgs
A assign_to_user block as defined below. A user explicitly assigned to a personal compute instance. Changing this forces a new Machine Learning Compute Instance to be created.
AuthorizationType Changes to this property will trigger replacement. string
The Compute Instance Authorization type. Possible values include: personal. Changing this forces a new Machine Learning Compute Instance to be created.
Description Changes to this property will trigger replacement. string
The description of the Machine Learning Compute Instance. Changing this forces a new Machine Learning Compute Instance to be created.
Identity Changes to this property will trigger replacement. ComputeInstanceIdentityArgs
An identity block as defined below. Changing this forces a new Machine Learning Compute Instance to be created.
LocalAuthEnabled Changes to this property will trigger replacement. bool
Whether local authentication methods is enabled. Defaults to true. Changing this forces a new Machine Learning Compute Instance to be created.
MachineLearningWorkspaceId Changes to this property will trigger replacement. string
The ID of the Machine Learning Workspace. Changing this forces a new Machine Learning Compute Instance to be created.
Name Changes to this property will trigger replacement. string
The name which should be used for this Machine Learning Compute Instance. Changing this forces a new Machine Learning Compute Instance to be created.
NodePublicIpEnabled Changes to this property will trigger replacement. bool
Whether the compute instance will have a public ip. To set this to false a subnet_resource_id needs to be set. Defaults to true. Changing this forces a new Machine Learning Compute Cluster to be created.
Ssh Changes to this property will trigger replacement. ComputeInstanceSshArgs
A ssh block as defined below. Specifies policy and settings for SSH access. Changing this forces a new Machine Learning Compute Instance to be created.
SubnetResourceId Changes to this property will trigger replacement. string
Virtual network subnet resource ID the compute nodes belong to. Changing this forces a new Machine Learning Compute Instance to be created.
Tags Changes to this property will trigger replacement. map[string]string
A mapping of tags which should be assigned to the Machine Learning Compute Instance. Changing this forces a new Machine Learning Compute Instance to be created.
VirtualMachineSize Changes to this property will trigger replacement. string
The Virtual Machine Size. Changing this forces a new Machine Learning Compute Instance to be created.
assignToUser Changes to this property will trigger replacement. ComputeInstanceAssignToUser
A assign_to_user block as defined below. A user explicitly assigned to a personal compute instance. Changing this forces a new Machine Learning Compute Instance to be created.
authorizationType Changes to this property will trigger replacement. String
The Compute Instance Authorization type. Possible values include: personal. Changing this forces a new Machine Learning Compute Instance to be created.
description Changes to this property will trigger replacement. String
The description of the Machine Learning Compute Instance. Changing this forces a new Machine Learning Compute Instance to be created.
identity Changes to this property will trigger replacement. ComputeInstanceIdentity
An identity block as defined below. Changing this forces a new Machine Learning Compute Instance to be created.
localAuthEnabled Changes to this property will trigger replacement. Boolean
Whether local authentication methods is enabled. Defaults to true. Changing this forces a new Machine Learning Compute Instance to be created.
machineLearningWorkspaceId Changes to this property will trigger replacement. String
The ID of the Machine Learning Workspace. Changing this forces a new Machine Learning Compute Instance to be created.
name Changes to this property will trigger replacement. String
The name which should be used for this Machine Learning Compute Instance. Changing this forces a new Machine Learning Compute Instance to be created.
nodePublicIpEnabled Changes to this property will trigger replacement. Boolean
Whether the compute instance will have a public ip. To set this to false a subnet_resource_id needs to be set. Defaults to true. Changing this forces a new Machine Learning Compute Cluster to be created.
ssh Changes to this property will trigger replacement. ComputeInstanceSsh
A ssh block as defined below. Specifies policy and settings for SSH access. Changing this forces a new Machine Learning Compute Instance to be created.
subnetResourceId Changes to this property will trigger replacement. String
Virtual network subnet resource ID the compute nodes belong to. Changing this forces a new Machine Learning Compute Instance to be created.
tags Changes to this property will trigger replacement. Map<String,String>
A mapping of tags which should be assigned to the Machine Learning Compute Instance. Changing this forces a new Machine Learning Compute Instance to be created.
virtualMachineSize Changes to this property will trigger replacement. String
The Virtual Machine Size. Changing this forces a new Machine Learning Compute Instance to be created.
assignToUser Changes to this property will trigger replacement. ComputeInstanceAssignToUser
A assign_to_user block as defined below. A user explicitly assigned to a personal compute instance. Changing this forces a new Machine Learning Compute Instance to be created.
authorizationType Changes to this property will trigger replacement. string
The Compute Instance Authorization type. Possible values include: personal. Changing this forces a new Machine Learning Compute Instance to be created.
description Changes to this property will trigger replacement. string
The description of the Machine Learning Compute Instance. Changing this forces a new Machine Learning Compute Instance to be created.
identity Changes to this property will trigger replacement. ComputeInstanceIdentity
An identity block as defined below. Changing this forces a new Machine Learning Compute Instance to be created.
localAuthEnabled Changes to this property will trigger replacement. boolean
Whether local authentication methods is enabled. Defaults to true. Changing this forces a new Machine Learning Compute Instance to be created.
machineLearningWorkspaceId Changes to this property will trigger replacement. string
The ID of the Machine Learning Workspace. Changing this forces a new Machine Learning Compute Instance to be created.
name Changes to this property will trigger replacement. string
The name which should be used for this Machine Learning Compute Instance. Changing this forces a new Machine Learning Compute Instance to be created.
nodePublicIpEnabled Changes to this property will trigger replacement. boolean
Whether the compute instance will have a public ip. To set this to false a subnet_resource_id needs to be set. Defaults to true. Changing this forces a new Machine Learning Compute Cluster to be created.
ssh Changes to this property will trigger replacement. ComputeInstanceSsh
A ssh block as defined below. Specifies policy and settings for SSH access. Changing this forces a new Machine Learning Compute Instance to be created.
subnetResourceId Changes to this property will trigger replacement. string
Virtual network subnet resource ID the compute nodes belong to. Changing this forces a new Machine Learning Compute Instance to be created.
tags Changes to this property will trigger replacement. {[key: string]: string}
A mapping of tags which should be assigned to the Machine Learning Compute Instance. Changing this forces a new Machine Learning Compute Instance to be created.
virtualMachineSize Changes to this property will trigger replacement. string
The Virtual Machine Size. Changing this forces a new Machine Learning Compute Instance to be created.
assign_to_user Changes to this property will trigger replacement. ComputeInstanceAssignToUserArgs
A assign_to_user block as defined below. A user explicitly assigned to a personal compute instance. Changing this forces a new Machine Learning Compute Instance to be created.
authorization_type Changes to this property will trigger replacement. str
The Compute Instance Authorization type. Possible values include: personal. Changing this forces a new Machine Learning Compute Instance to be created.
description Changes to this property will trigger replacement. str
The description of the Machine Learning Compute Instance. Changing this forces a new Machine Learning Compute Instance to be created.
identity Changes to this property will trigger replacement. ComputeInstanceIdentityArgs
An identity block as defined below. Changing this forces a new Machine Learning Compute Instance to be created.
local_auth_enabled Changes to this property will trigger replacement. bool
Whether local authentication methods is enabled. Defaults to true. Changing this forces a new Machine Learning Compute Instance to be created.
machine_learning_workspace_id Changes to this property will trigger replacement. str
The ID of the Machine Learning Workspace. Changing this forces a new Machine Learning Compute Instance to be created.
name Changes to this property will trigger replacement. str
The name which should be used for this Machine Learning Compute Instance. Changing this forces a new Machine Learning Compute Instance to be created.
node_public_ip_enabled Changes to this property will trigger replacement. bool
Whether the compute instance will have a public ip. To set this to false a subnet_resource_id needs to be set. Defaults to true. Changing this forces a new Machine Learning Compute Cluster to be created.
ssh Changes to this property will trigger replacement. ComputeInstanceSshArgs
A ssh block as defined below. Specifies policy and settings for SSH access. Changing this forces a new Machine Learning Compute Instance to be created.
subnet_resource_id Changes to this property will trigger replacement. str
Virtual network subnet resource ID the compute nodes belong to. Changing this forces a new Machine Learning Compute Instance to be created.
tags Changes to this property will trigger replacement. Mapping[str, str]
A mapping of tags which should be assigned to the Machine Learning Compute Instance. Changing this forces a new Machine Learning Compute Instance to be created.
virtual_machine_size Changes to this property will trigger replacement. str
The Virtual Machine Size. Changing this forces a new Machine Learning Compute Instance to be created.
assignToUser Changes to this property will trigger replacement. Property Map
A assign_to_user block as defined below. A user explicitly assigned to a personal compute instance. Changing this forces a new Machine Learning Compute Instance to be created.
authorizationType Changes to this property will trigger replacement. String
The Compute Instance Authorization type. Possible values include: personal. Changing this forces a new Machine Learning Compute Instance to be created.
description Changes to this property will trigger replacement. String
The description of the Machine Learning Compute Instance. Changing this forces a new Machine Learning Compute Instance to be created.
identity Changes to this property will trigger replacement. Property Map
An identity block as defined below. Changing this forces a new Machine Learning Compute Instance to be created.
localAuthEnabled Changes to this property will trigger replacement. Boolean
Whether local authentication methods is enabled. Defaults to true. Changing this forces a new Machine Learning Compute Instance to be created.
machineLearningWorkspaceId Changes to this property will trigger replacement. String
The ID of the Machine Learning Workspace. Changing this forces a new Machine Learning Compute Instance to be created.
name Changes to this property will trigger replacement. String
The name which should be used for this Machine Learning Compute Instance. Changing this forces a new Machine Learning Compute Instance to be created.
nodePublicIpEnabled Changes to this property will trigger replacement. Boolean
Whether the compute instance will have a public ip. To set this to false a subnet_resource_id needs to be set. Defaults to true. Changing this forces a new Machine Learning Compute Cluster to be created.
ssh Changes to this property will trigger replacement. Property Map
A ssh block as defined below. Specifies policy and settings for SSH access. Changing this forces a new Machine Learning Compute Instance to be created.
subnetResourceId Changes to this property will trigger replacement. String
Virtual network subnet resource ID the compute nodes belong to. Changing this forces a new Machine Learning Compute Instance to be created.
tags Changes to this property will trigger replacement. Map<String>
A mapping of tags which should be assigned to the Machine Learning Compute Instance. Changing this forces a new Machine Learning Compute Instance to be created.
virtualMachineSize Changes to this property will trigger replacement. String
The Virtual Machine Size. Changing this forces a new Machine Learning Compute Instance to be created.

Supporting Types

ComputeInstanceAssignToUser
, ComputeInstanceAssignToUserArgs

ObjectId string
User’s AAD Object Id.
TenantId string
User’s AAD Tenant Id.
ObjectId string
User’s AAD Object Id.
TenantId string
User’s AAD Tenant Id.
objectId String
User’s AAD Object Id.
tenantId String
User’s AAD Tenant Id.
objectId string
User’s AAD Object Id.
tenantId string
User’s AAD Tenant Id.
object_id str
User’s AAD Object Id.
tenant_id str
User’s AAD Tenant Id.
objectId String
User’s AAD Object Id.
tenantId String
User’s AAD Tenant Id.

ComputeInstanceIdentity
, ComputeInstanceIdentityArgs

Type
This property is required.
Changes to this property will trigger replacement.
string
Specifies the type of Managed Service Identity that should be configured on this Machine Learning Compute Instance. Possible values are SystemAssigned, UserAssigned, SystemAssigned, UserAssigned (to enable both). Changing this forces a new resource to be created.
IdentityIds Changes to this property will trigger replacement. List<string>

Specifies a list of User Assigned Managed Identity IDs to be assigned to this Machine Learning Compute Instance. Changing this forces a new resource to be created.

NOTE: This is required when type is set to UserAssigned or SystemAssigned, UserAssigned.

PrincipalId string
The Principal ID for the Service Principal associated with the Managed Service Identity of this Machine Learning Compute Instance.
TenantId string
The Tenant ID for the Service Principal associated with the Managed Service Identity of this Machine Learning Compute Instance.
Type
This property is required.
Changes to this property will trigger replacement.
string
Specifies the type of Managed Service Identity that should be configured on this Machine Learning Compute Instance. Possible values are SystemAssigned, UserAssigned, SystemAssigned, UserAssigned (to enable both). Changing this forces a new resource to be created.
IdentityIds Changes to this property will trigger replacement. []string

Specifies a list of User Assigned Managed Identity IDs to be assigned to this Machine Learning Compute Instance. Changing this forces a new resource to be created.

NOTE: This is required when type is set to UserAssigned or SystemAssigned, UserAssigned.

PrincipalId string
The Principal ID for the Service Principal associated with the Managed Service Identity of this Machine Learning Compute Instance.
TenantId string
The Tenant ID for the Service Principal associated with the Managed Service Identity of this Machine Learning Compute Instance.
type
This property is required.
Changes to this property will trigger replacement.
String
Specifies the type of Managed Service Identity that should be configured on this Machine Learning Compute Instance. Possible values are SystemAssigned, UserAssigned, SystemAssigned, UserAssigned (to enable both). Changing this forces a new resource to be created.
identityIds Changes to this property will trigger replacement. List<String>

Specifies a list of User Assigned Managed Identity IDs to be assigned to this Machine Learning Compute Instance. Changing this forces a new resource to be created.

NOTE: This is required when type is set to UserAssigned or SystemAssigned, UserAssigned.

principalId String
The Principal ID for the Service Principal associated with the Managed Service Identity of this Machine Learning Compute Instance.
tenantId String
The Tenant ID for the Service Principal associated with the Managed Service Identity of this Machine Learning Compute Instance.
type
This property is required.
Changes to this property will trigger replacement.
string
Specifies the type of Managed Service Identity that should be configured on this Machine Learning Compute Instance. Possible values are SystemAssigned, UserAssigned, SystemAssigned, UserAssigned (to enable both). Changing this forces a new resource to be created.
identityIds Changes to this property will trigger replacement. string[]

Specifies a list of User Assigned Managed Identity IDs to be assigned to this Machine Learning Compute Instance. Changing this forces a new resource to be created.

NOTE: This is required when type is set to UserAssigned or SystemAssigned, UserAssigned.

principalId string
The Principal ID for the Service Principal associated with the Managed Service Identity of this Machine Learning Compute Instance.
tenantId string
The Tenant ID for the Service Principal associated with the Managed Service Identity of this Machine Learning Compute Instance.
type
This property is required.
Changes to this property will trigger replacement.
str
Specifies the type of Managed Service Identity that should be configured on this Machine Learning Compute Instance. Possible values are SystemAssigned, UserAssigned, SystemAssigned, UserAssigned (to enable both). Changing this forces a new resource to be created.
identity_ids Changes to this property will trigger replacement. Sequence[str]

Specifies a list of User Assigned Managed Identity IDs to be assigned to this Machine Learning Compute Instance. Changing this forces a new resource to be created.

NOTE: This is required when type is set to UserAssigned or SystemAssigned, UserAssigned.

principal_id str
The Principal ID for the Service Principal associated with the Managed Service Identity of this Machine Learning Compute Instance.
tenant_id str
The Tenant ID for the Service Principal associated with the Managed Service Identity of this Machine Learning Compute Instance.
type
This property is required.
Changes to this property will trigger replacement.
String
Specifies the type of Managed Service Identity that should be configured on this Machine Learning Compute Instance. Possible values are SystemAssigned, UserAssigned, SystemAssigned, UserAssigned (to enable both). Changing this forces a new resource to be created.
identityIds Changes to this property will trigger replacement. List<String>

Specifies a list of User Assigned Managed Identity IDs to be assigned to this Machine Learning Compute Instance. Changing this forces a new resource to be created.

NOTE: This is required when type is set to UserAssigned or SystemAssigned, UserAssigned.

principalId String
The Principal ID for the Service Principal associated with the Managed Service Identity of this Machine Learning Compute Instance.
tenantId String
The Tenant ID for the Service Principal associated with the Managed Service Identity of this Machine Learning Compute Instance.

ComputeInstanceSsh
, ComputeInstanceSshArgs

PublicKey This property is required. string
Specifies the SSH rsa public key file as a string. Use "ssh-keygen -t rsa -b 2048" to generate your SSH key pairs.
Port int
Describes the port for connecting through SSH.
Username string
The admin username of this Machine Learning Compute Instance.
PublicKey This property is required. string
Specifies the SSH rsa public key file as a string. Use "ssh-keygen -t rsa -b 2048" to generate your SSH key pairs.
Port int
Describes the port for connecting through SSH.
Username string
The admin username of this Machine Learning Compute Instance.
publicKey This property is required. String
Specifies the SSH rsa public key file as a string. Use "ssh-keygen -t rsa -b 2048" to generate your SSH key pairs.
port Integer
Describes the port for connecting through SSH.
username String
The admin username of this Machine Learning Compute Instance.
publicKey This property is required. string
Specifies the SSH rsa public key file as a string. Use "ssh-keygen -t rsa -b 2048" to generate your SSH key pairs.
port number
Describes the port for connecting through SSH.
username string
The admin username of this Machine Learning Compute Instance.
public_key This property is required. str
Specifies the SSH rsa public key file as a string. Use "ssh-keygen -t rsa -b 2048" to generate your SSH key pairs.
port int
Describes the port for connecting through SSH.
username str
The admin username of this Machine Learning Compute Instance.
publicKey This property is required. String
Specifies the SSH rsa public key file as a string. Use "ssh-keygen -t rsa -b 2048" to generate your SSH key pairs.
port Number
Describes the port for connecting through SSH.
username String
The admin username of this Machine Learning Compute Instance.

Import

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

$ pulumi import azure:machinelearning/computeInstance:ComputeInstance example /subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/resGroup1/providers/Microsoft.MachineLearningServices/workspaces/workspace1/computes/compute1
Copy

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

Package Details

Repository
Azure Classic pulumi/pulumi-azure
License
Apache-2.0
Notes
This Pulumi package is based on the azurerm Terraform Provider.

We recommend using Azure Native.

Azure v6.22.0 published on Tuesday, Apr 1, 2025 by Pulumi
pulumi/pulumi-azure