We recommend using Azure Native.
azure.machinelearning.ComputeInstance
Explore with Pulumi AI
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",
    },
});
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",
    })
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
	})
}
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" },
        },
    });
});
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());
    }
}
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: {}
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 string
- The unique name of the resource.
- args ComputeInstanceArgs
- The arguments to resource properties.
- opts CustomResourceOptions
- Bag of options to control resource's behavior.
- resource_name str
- The unique name of the resource.
- args 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 string
- The unique name of the resource.
- args ComputeInstanceArgs
- The arguments to resource properties.
- opts ResourceOption
- Bag of options to control resource's behavior.
- name string
- The unique name of the resource.
- args ComputeInstanceArgs
- The arguments to resource properties.
- opts CustomResourceOptions
- Bag of options to control resource's behavior.
- name String
- The unique name of the resource.
- args 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" },
    },
});
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"),
	},
})
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());
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",
    })
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",
    },
});
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
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:
- MachineLearning stringWorkspace Id 
- The ID of the Machine Learning Workspace. Changing this forces a new Machine Learning Compute Instance to be created.
- VirtualMachine stringSize 
- The Virtual Machine Size. Changing this forces a new Machine Learning Compute Instance to be created.
- AssignTo ComputeUser Instance Assign To User 
- A assign_to_userblock as defined below. A user explicitly assigned to a personal compute instance. Changing this forces a new Machine Learning Compute Instance to be created.
- string
- The Compute Instance Authorization type. Possible values include: personal. Changing this forces a new Machine Learning Compute Instance to be created.
- Description string
- The description of the Machine Learning Compute Instance. Changing this forces a new Machine Learning Compute Instance to be created.
- Identity
ComputeInstance Identity 
- An identityblock as defined below. Changing this forces a new Machine Learning Compute Instance to be created.
- LocalAuth boolEnabled 
- Whether local authentication methods is enabled. Defaults to true. Changing this forces a new Machine Learning Compute Instance to be created.
- Name 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.
- NodePublic boolIp Enabled 
- Whether the compute instance will have a public ip. To set this to false a subnet_resource_idneeds to be set. Defaults totrue. Changing this forces a new Machine Learning Compute Cluster to be created.
- Ssh
ComputeInstance Ssh 
- A sshblock as defined below. Specifies policy and settings for SSH access. Changing this forces a new Machine Learning Compute Instance to be created.
- SubnetResource stringId 
- Virtual network subnet resource ID the compute nodes belong to. Changing this forces a new Machine Learning Compute Instance to be created.
- 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.
- MachineLearning stringWorkspace Id 
- The ID of the Machine Learning Workspace. Changing this forces a new Machine Learning Compute Instance to be created.
- VirtualMachine stringSize 
- The Virtual Machine Size. Changing this forces a new Machine Learning Compute Instance to be created.
- AssignTo ComputeUser Instance Assign To User Args 
- A assign_to_userblock as defined below. A user explicitly assigned to a personal compute instance. Changing this forces a new Machine Learning Compute Instance to be created.
- string
- The Compute Instance Authorization type. Possible values include: personal. Changing this forces a new Machine Learning Compute Instance to be created.
- Description string
- The description of the Machine Learning Compute Instance. Changing this forces a new Machine Learning Compute Instance to be created.
- Identity
ComputeInstance Identity Args 
- An identityblock as defined below. Changing this forces a new Machine Learning Compute Instance to be created.
- LocalAuth boolEnabled 
- Whether local authentication methods is enabled. Defaults to true. Changing this forces a new Machine Learning Compute Instance to be created.
- Name 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.
- NodePublic boolIp Enabled 
- Whether the compute instance will have a public ip. To set this to false a subnet_resource_idneeds to be set. Defaults totrue. Changing this forces a new Machine Learning Compute Cluster to be created.
- Ssh
ComputeInstance Ssh Args 
- A sshblock as defined below. Specifies policy and settings for SSH access. Changing this forces a new Machine Learning Compute Instance to be created.
- SubnetResource stringId 
- Virtual network subnet resource ID the compute nodes belong to. Changing this forces a new Machine Learning Compute Instance to be created.
- 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.
- machineLearning StringWorkspace Id 
- The ID of the Machine Learning Workspace. Changing this forces a new Machine Learning Compute Instance to be created.
- virtualMachine StringSize 
- The Virtual Machine Size. Changing this forces a new Machine Learning Compute Instance to be created.
- assignTo ComputeUser Instance Assign To User 
- A assign_to_userblock as defined below. A user explicitly assigned to a personal compute instance. Changing this forces a new Machine Learning Compute Instance to be created.
- String
- The Compute Instance Authorization type. Possible values include: personal. Changing this forces a new Machine Learning Compute Instance to be created.
- description String
- The description of the Machine Learning Compute Instance. Changing this forces a new Machine Learning Compute Instance to be created.
- identity
ComputeInstance Identity 
- An identityblock as defined below. Changing this forces a new Machine Learning Compute Instance to be created.
- localAuth BooleanEnabled 
- Whether local authentication methods is enabled. Defaults to true. Changing this forces a new Machine Learning Compute Instance to be created.
- name 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.
- nodePublic BooleanIp Enabled 
- Whether the compute instance will have a public ip. To set this to false a subnet_resource_idneeds to be set. Defaults totrue. Changing this forces a new Machine Learning Compute Cluster to be created.
- ssh
ComputeInstance Ssh 
- A sshblock as defined below. Specifies policy and settings for SSH access. Changing this forces a new Machine Learning Compute Instance to be created.
- subnetResource StringId 
- Virtual network subnet resource ID the compute nodes belong to. Changing this forces a new Machine Learning Compute Instance to be created.
- 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.
- machineLearning stringWorkspace Id 
- The ID of the Machine Learning Workspace. Changing this forces a new Machine Learning Compute Instance to be created.
- virtualMachine stringSize 
- The Virtual Machine Size. Changing this forces a new Machine Learning Compute Instance to be created.
- assignTo ComputeUser Instance Assign To User 
- A assign_to_userblock as defined below. A user explicitly assigned to a personal compute instance. Changing this forces a new Machine Learning Compute Instance to be created.
- string
- The Compute Instance Authorization type. Possible values include: personal. Changing this forces a new Machine Learning Compute Instance to be created.
- description string
- The description of the Machine Learning Compute Instance. Changing this forces a new Machine Learning Compute Instance to be created.
- identity
ComputeInstance Identity 
- An identityblock as defined below. Changing this forces a new Machine Learning Compute Instance to be created.
- localAuth booleanEnabled 
- Whether local authentication methods is enabled. Defaults to true. Changing this forces a new Machine Learning Compute Instance to be created.
- name 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.
- nodePublic booleanIp Enabled 
- Whether the compute instance will have a public ip. To set this to false a subnet_resource_idneeds to be set. Defaults totrue. Changing this forces a new Machine Learning Compute Cluster to be created.
- ssh
ComputeInstance Ssh 
- A sshblock as defined below. Specifies policy and settings for SSH access. Changing this forces a new Machine Learning Compute Instance to be created.
- subnetResource stringId 
- Virtual network subnet resource ID the compute nodes belong to. Changing this forces a new Machine Learning Compute Instance to be created.
- {[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_ strworkspace_ id 
- The ID of the Machine Learning Workspace. Changing this forces a new Machine Learning Compute Instance to be created.
- virtual_machine_ strsize 
- The Virtual Machine Size. Changing this forces a new Machine Learning Compute Instance to be created.
- assign_to_ Computeuser Instance Assign To User Args 
- A assign_to_userblock as defined below. A user explicitly assigned to a personal compute instance. Changing this forces a new Machine Learning Compute Instance to be created.
- str
- The Compute Instance Authorization type. Possible values include: personal. Changing this forces a new Machine Learning Compute Instance to be created.
- description str
- The description of the Machine Learning Compute Instance. Changing this forces a new Machine Learning Compute Instance to be created.
- identity
ComputeInstance Identity Args 
- An identityblock as defined below. Changing this forces a new Machine Learning Compute Instance to be created.
- local_auth_ boolenabled 
- Whether local authentication methods is enabled. Defaults to true. Changing this forces a new Machine Learning Compute Instance to be created.
- name 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_ boolip_ enabled 
- Whether the compute instance will have a public ip. To set this to false a subnet_resource_idneeds to be set. Defaults totrue. Changing this forces a new Machine Learning Compute Cluster to be created.
- ssh
ComputeInstance Ssh Args 
- A sshblock as defined below. Specifies policy and settings for SSH access. Changing this forces a new Machine Learning Compute Instance to be created.
- subnet_resource_ strid 
- Virtual network subnet resource ID the compute nodes belong to. Changing this forces a new Machine Learning Compute Instance to be created.
- 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.
- machineLearning StringWorkspace Id 
- The ID of the Machine Learning Workspace. Changing this forces a new Machine Learning Compute Instance to be created.
- virtualMachine StringSize 
- The Virtual Machine Size. Changing this forces a new Machine Learning Compute Instance to be created.
- assignTo Property MapUser 
- A assign_to_userblock as defined below. A user explicitly assigned to a personal compute instance. Changing this forces a new Machine Learning Compute Instance to be created.
- String
- The Compute Instance Authorization type. Possible values include: personal. Changing this forces a new Machine Learning Compute Instance to be created.
- description String
- The description of the Machine Learning Compute Instance. Changing this forces a new Machine Learning Compute Instance to be created.
- identity Property Map
- An identityblock as defined below. Changing this forces a new Machine Learning Compute Instance to be created.
- localAuth BooleanEnabled 
- Whether local authentication methods is enabled. Defaults to true. Changing this forces a new Machine Learning Compute Instance to be created.
- name 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.
- nodePublic BooleanIp Enabled 
- Whether the compute instance will have a public ip. To set this to false a subnet_resource_idneeds to be set. Defaults totrue. Changing this forces a new Machine Learning Compute Cluster to be created.
- ssh Property Map
- A sshblock as defined below. Specifies policy and settings for SSH access. Changing this forces a new Machine Learning Compute Instance to be created.
- subnetResource StringId 
- Virtual network subnet resource ID the compute nodes belong to. Changing this forces a new Machine Learning Compute Instance to be created.
- 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) -> ComputeInstancefunc 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
- The unique name of the resulting resource.
- id
- The unique provider ID of the resource to lookup.
- state
- Any extra arguments used during the lookup.
- opts
- A bag of options that control this resource's behavior.
- resource_name
- The unique name of the resulting resource.
- id
- The unique provider ID of the resource to lookup.
- name
- The unique name of the resulting resource.
- id
- The unique provider ID of the resource to lookup.
- state
- Any extra arguments used during the lookup.
- opts
- A bag of options that control this resource's behavior.
- name
- The unique name of the resulting resource.
- id
- The unique provider ID of the resource to lookup.
- state
- Any extra arguments used during the lookup.
- opts
- A bag of options that control this resource's behavior.
- name
- The unique name of the resulting resource.
- id
- The unique provider ID of the resource to lookup.
- state
- Any extra arguments used during the lookup.
- opts
- A bag of options that control this resource's behavior.
- AssignTo ComputeUser Instance Assign To User 
- A assign_to_userblock as defined below. A user explicitly assigned to a personal compute instance. Changing this forces a new Machine Learning Compute Instance to be created.
- string
- The Compute Instance Authorization type. Possible values include: personal. Changing this forces a new Machine Learning Compute Instance to be created.
- Description string
- The description of the Machine Learning Compute Instance. Changing this forces a new Machine Learning Compute Instance to be created.
- Identity
ComputeInstance Identity 
- An identityblock as defined below. Changing this forces a new Machine Learning Compute Instance to be created.
- LocalAuth boolEnabled 
- Whether local authentication methods is enabled. Defaults to true. Changing this forces a new Machine Learning Compute Instance to be created.
- MachineLearning stringWorkspace Id 
- The ID of the Machine Learning Workspace. Changing this forces a new Machine Learning Compute Instance to be created.
- Name 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.
- NodePublic boolIp Enabled 
- Whether the compute instance will have a public ip. To set this to false a subnet_resource_idneeds to be set. Defaults totrue. Changing this forces a new Machine Learning Compute Cluster to be created.
- Ssh
ComputeInstance Ssh 
- A sshblock as defined below. Specifies policy and settings for SSH access. Changing this forces a new Machine Learning Compute Instance to be created.
- SubnetResource stringId 
- Virtual network subnet resource ID the compute nodes belong to. Changing this forces a new Machine Learning Compute Instance to be created.
- 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.
- VirtualMachine stringSize 
- The Virtual Machine Size. Changing this forces a new Machine Learning Compute Instance to be created.
- AssignTo ComputeUser Instance Assign To User Args 
- A assign_to_userblock as defined below. A user explicitly assigned to a personal compute instance. Changing this forces a new Machine Learning Compute Instance to be created.
- string
- The Compute Instance Authorization type. Possible values include: personal. Changing this forces a new Machine Learning Compute Instance to be created.
- Description string
- The description of the Machine Learning Compute Instance. Changing this forces a new Machine Learning Compute Instance to be created.
- Identity
ComputeInstance Identity Args 
- An identityblock as defined below. Changing this forces a new Machine Learning Compute Instance to be created.
- LocalAuth boolEnabled 
- Whether local authentication methods is enabled. Defaults to true. Changing this forces a new Machine Learning Compute Instance to be created.
- MachineLearning stringWorkspace Id 
- The ID of the Machine Learning Workspace. Changing this forces a new Machine Learning Compute Instance to be created.
- Name 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.
- NodePublic boolIp Enabled 
- Whether the compute instance will have a public ip. To set this to false a subnet_resource_idneeds to be set. Defaults totrue. Changing this forces a new Machine Learning Compute Cluster to be created.
- Ssh
ComputeInstance Ssh Args 
- A sshblock as defined below. Specifies policy and settings for SSH access. Changing this forces a new Machine Learning Compute Instance to be created.
- SubnetResource stringId 
- Virtual network subnet resource ID the compute nodes belong to. Changing this forces a new Machine Learning Compute Instance to be created.
- 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.
- VirtualMachine stringSize 
- The Virtual Machine Size. Changing this forces a new Machine Learning Compute Instance to be created.
- assignTo ComputeUser Instance Assign To User 
- A assign_to_userblock as defined below. A user explicitly assigned to a personal compute instance. Changing this forces a new Machine Learning Compute Instance to be created.
- String
- The Compute Instance Authorization type. Possible values include: personal. Changing this forces a new Machine Learning Compute Instance to be created.
- description String
- The description of the Machine Learning Compute Instance. Changing this forces a new Machine Learning Compute Instance to be created.
- identity
ComputeInstance Identity 
- An identityblock as defined below. Changing this forces a new Machine Learning Compute Instance to be created.
- localAuth BooleanEnabled 
- Whether local authentication methods is enabled. Defaults to true. Changing this forces a new Machine Learning Compute Instance to be created.
- machineLearning StringWorkspace Id 
- The ID of the Machine Learning Workspace. Changing this forces a new Machine Learning Compute Instance to be created.
- name 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.
- nodePublic BooleanIp Enabled 
- Whether the compute instance will have a public ip. To set this to false a subnet_resource_idneeds to be set. Defaults totrue. Changing this forces a new Machine Learning Compute Cluster to be created.
- ssh
ComputeInstance Ssh 
- A sshblock as defined below. Specifies policy and settings for SSH access. Changing this forces a new Machine Learning Compute Instance to be created.
- subnetResource StringId 
- Virtual network subnet resource ID the compute nodes belong to. Changing this forces a new Machine Learning Compute Instance to be created.
- 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.
- virtualMachine StringSize 
- The Virtual Machine Size. Changing this forces a new Machine Learning Compute Instance to be created.
- assignTo ComputeUser Instance Assign To User 
- A assign_to_userblock as defined below. A user explicitly assigned to a personal compute instance. Changing this forces a new Machine Learning Compute Instance to be created.
- string
- The Compute Instance Authorization type. Possible values include: personal. Changing this forces a new Machine Learning Compute Instance to be created.
- description string
- The description of the Machine Learning Compute Instance. Changing this forces a new Machine Learning Compute Instance to be created.
- identity
ComputeInstance Identity 
- An identityblock as defined below. Changing this forces a new Machine Learning Compute Instance to be created.
- localAuth booleanEnabled 
- Whether local authentication methods is enabled. Defaults to true. Changing this forces a new Machine Learning Compute Instance to be created.
- machineLearning stringWorkspace Id 
- The ID of the Machine Learning Workspace. Changing this forces a new Machine Learning Compute Instance to be created.
- name 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.
- nodePublic booleanIp Enabled 
- Whether the compute instance will have a public ip. To set this to false a subnet_resource_idneeds to be set. Defaults totrue. Changing this forces a new Machine Learning Compute Cluster to be created.
- ssh
ComputeInstance Ssh 
- A sshblock as defined below. Specifies policy and settings for SSH access. Changing this forces a new Machine Learning Compute Instance to be created.
- subnetResource stringId 
- Virtual network subnet resource ID the compute nodes belong to. Changing this forces a new Machine Learning Compute Instance to be created.
- {[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.
- virtualMachine stringSize 
- The Virtual Machine Size. Changing this forces a new Machine Learning Compute Instance to be created.
- assign_to_ Computeuser Instance Assign To User Args 
- A assign_to_userblock as defined below. A user explicitly assigned to a personal compute instance. Changing this forces a new Machine Learning Compute Instance to be created.
- str
- The Compute Instance Authorization type. Possible values include: personal. Changing this forces a new Machine Learning Compute Instance to be created.
- description str
- The description of the Machine Learning Compute Instance. Changing this forces a new Machine Learning Compute Instance to be created.
- identity
ComputeInstance Identity Args 
- An identityblock as defined below. Changing this forces a new Machine Learning Compute Instance to be created.
- local_auth_ boolenabled 
- Whether local authentication methods is enabled. Defaults to true. Changing this forces a new Machine Learning Compute Instance to be created.
- machine_learning_ strworkspace_ id 
- The ID of the Machine Learning Workspace. Changing this forces a new Machine Learning Compute Instance to be created.
- name 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_ boolip_ enabled 
- Whether the compute instance will have a public ip. To set this to false a subnet_resource_idneeds to be set. Defaults totrue. Changing this forces a new Machine Learning Compute Cluster to be created.
- ssh
ComputeInstance Ssh Args 
- A sshblock as defined below. Specifies policy and settings for SSH access. Changing this forces a new Machine Learning Compute Instance to be created.
- subnet_resource_ strid 
- Virtual network subnet resource ID the compute nodes belong to. Changing this forces a new Machine Learning Compute Instance to be created.
- 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_ strsize 
- The Virtual Machine Size. Changing this forces a new Machine Learning Compute Instance to be created.
- assignTo Property MapUser 
- A assign_to_userblock as defined below. A user explicitly assigned to a personal compute instance. Changing this forces a new Machine Learning Compute Instance to be created.
- String
- The Compute Instance Authorization type. Possible values include: personal. Changing this forces a new Machine Learning Compute Instance to be created.
- description String
- The description of the Machine Learning Compute Instance. Changing this forces a new Machine Learning Compute Instance to be created.
- identity Property Map
- An identityblock as defined below. Changing this forces a new Machine Learning Compute Instance to be created.
- localAuth BooleanEnabled 
- Whether local authentication methods is enabled. Defaults to true. Changing this forces a new Machine Learning Compute Instance to be created.
- machineLearning StringWorkspace Id 
- The ID of the Machine Learning Workspace. Changing this forces a new Machine Learning Compute Instance to be created.
- name 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.
- nodePublic BooleanIp Enabled 
- Whether the compute instance will have a public ip. To set this to false a subnet_resource_idneeds to be set. Defaults totrue. Changing this forces a new Machine Learning Compute Cluster to be created.
- ssh Property Map
- A sshblock as defined below. Specifies policy and settings for SSH access. Changing this forces a new Machine Learning Compute Instance to be created.
- subnetResource StringId 
- Virtual network subnet resource ID the compute nodes belong to. Changing this forces a new Machine Learning Compute Instance to be created.
- 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.
- virtualMachine StringSize 
- The Virtual Machine Size. Changing this forces a new Machine Learning Compute Instance to be created.
Supporting Types
ComputeInstanceAssignToUser, ComputeInstanceAssignToUserArgs          
ComputeInstanceIdentity, ComputeInstanceIdentityArgs      
- Type 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 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 - typeis set to- UserAssignedor- 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 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 []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 - typeis set to- UserAssignedor- 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 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 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 - typeis set to- UserAssignedor- 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 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 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 - typeis set to- UserAssignedor- 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 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 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 - typeis set to- UserAssignedor- 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 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 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 - typeis set to- UserAssignedor- 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      
- public_key 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.
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
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 azurermTerraform Provider.