azure.machinelearning.ComputeInstance

Manages a Machine Learning Compute Instance.

Example Usage

using System.Collections.Generic;
using Pulumi;
using Azure = Pulumi.Azure;

return await Deployment.RunAsync(() => 
{
    var current = Azure.Core.GetClientConfig.Invoke();

    var exampleResourceGroup = new Azure.Core.ResourceGroup("exampleResourceGroup", new()
    {
        Location = "west europe",
        Tags = 
        {
            { "stage", "example" },
        },
    });

    var exampleInsights = new Azure.AppInsights.Insights("exampleInsights", new()
    {
        Location = exampleResourceGroup.Location,
        ResourceGroupName = exampleResourceGroup.Name,
        ApplicationType = "web",
    });

    var exampleKeyVault = new Azure.KeyVault.KeyVault("exampleKeyVault", new()
    {
        Location = exampleResourceGroup.Location,
        ResourceGroupName = exampleResourceGroup.Name,
        TenantId = current.Apply(getClientConfigResult => getClientConfigResult.TenantId),
        SkuName = "standard",
        PurgeProtectionEnabled = true,
    });

    var exampleAccount = new Azure.Storage.Account("exampleAccount", new()
    {
        Location = exampleResourceGroup.Location,
        ResourceGroupName = exampleResourceGroup.Name,
        AccountTier = "Standard",
        AccountReplicationType = "LRS",
    });

    var exampleWorkspace = new Azure.MachineLearning.Workspace("exampleWorkspace", new()
    {
        Location = exampleResourceGroup.Location,
        ResourceGroupName = exampleResourceGroup.Name,
        ApplicationInsightsId = exampleInsights.Id,
        KeyVaultId = exampleKeyVault.Id,
        StorageAccountId = exampleAccount.Id,
        Identity = new Azure.MachineLearning.Inputs.WorkspaceIdentityArgs
        {
            Type = "SystemAssigned",
        },
    });

    var exampleVirtualNetwork = new Azure.Network.VirtualNetwork("exampleVirtualNetwork", new()
    {
        AddressSpaces = new[]
        {
            "10.1.0.0/16",
        },
        Location = exampleResourceGroup.Location,
        ResourceGroupName = exampleResourceGroup.Name,
    });

    var exampleSubnet = new Azure.Network.Subnet("exampleSubnet", new()
    {
        ResourceGroupName = exampleResourceGroup.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("exampleComputeInstance", new()
    {
        Location = exampleResourceGroup.Location,
        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 main

import (
	"github.com/pulumi/pulumi-azure/sdk/v5/go/azure/appinsights"
	"github.com/pulumi/pulumi-azure/sdk/v5/go/azure/core"
	"github.com/pulumi/pulumi-azure/sdk/v5/go/azure/keyvault"
	"github.com/pulumi/pulumi-azure/sdk/v5/go/azure/machinelearning"
	"github.com/pulumi/pulumi-azure/sdk/v5/go/azure/network"
	"github.com/pulumi/pulumi-azure/sdk/v5/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, nil, nil)
		if err != nil {
			return err
		}
		exampleResourceGroup, err := core.NewResourceGroup(ctx, "exampleResourceGroup", &core.ResourceGroupArgs{
			Location: pulumi.String("west europe"),
			Tags: pulumi.StringMap{
				"stage": pulumi.String("example"),
			},
		})
		if err != nil {
			return err
		}
		exampleInsights, err := appinsights.NewInsights(ctx, "exampleInsights", &appinsights.InsightsArgs{
			Location:          exampleResourceGroup.Location,
			ResourceGroupName: exampleResourceGroup.Name,
			ApplicationType:   pulumi.String("web"),
		})
		if err != nil {
			return err
		}
		exampleKeyVault, err := keyvault.NewKeyVault(ctx, "exampleKeyVault", &keyvault.KeyVaultArgs{
			Location:               exampleResourceGroup.Location,
			ResourceGroupName:      exampleResourceGroup.Name,
			TenantId:               *pulumi.String(current.TenantId),
			SkuName:                pulumi.String("standard"),
			PurgeProtectionEnabled: pulumi.Bool(true),
		})
		if err != nil {
			return err
		}
		exampleAccount, err := storage.NewAccount(ctx, "exampleAccount", &storage.AccountArgs{
			Location:               exampleResourceGroup.Location,
			ResourceGroupName:      exampleResourceGroup.Name,
			AccountTier:            pulumi.String("Standard"),
			AccountReplicationType: pulumi.String("LRS"),
		})
		if err != nil {
			return err
		}
		exampleWorkspace, err := machinelearning.NewWorkspace(ctx, "exampleWorkspace", &machinelearning.WorkspaceArgs{
			Location:              exampleResourceGroup.Location,
			ResourceGroupName:     exampleResourceGroup.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, "exampleVirtualNetwork", &network.VirtualNetworkArgs{
			AddressSpaces: pulumi.StringArray{
				pulumi.String("10.1.0.0/16"),
			},
			Location:          exampleResourceGroup.Location,
			ResourceGroupName: exampleResourceGroup.Name,
		})
		if err != nil {
			return err
		}
		exampleSubnet, err := network.NewSubnet(ctx, "exampleSubnet", &network.SubnetArgs{
			ResourceGroupName:  exampleResourceGroup.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, "exampleComputeInstance", &machinelearning.ComputeInstanceArgs{
			Location:                   exampleResourceGroup.Location,
			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
	})
}
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 exampleResourceGroup = new ResourceGroup("exampleResourceGroup", ResourceGroupArgs.builder()        
            .location("west europe")
            .tags(Map.of("stage", "example"))
            .build());

        var exampleInsights = new Insights("exampleInsights", InsightsArgs.builder()        
            .location(exampleResourceGroup.location())
            .resourceGroupName(exampleResourceGroup.name())
            .applicationType("web")
            .build());

        var exampleKeyVault = new KeyVault("exampleKeyVault", KeyVaultArgs.builder()        
            .location(exampleResourceGroup.location())
            .resourceGroupName(exampleResourceGroup.name())
            .tenantId(current.applyValue(getClientConfigResult -> getClientConfigResult.tenantId()))
            .skuName("standard")
            .purgeProtectionEnabled(true)
            .build());

        var exampleAccount = new Account("exampleAccount", AccountArgs.builder()        
            .location(exampleResourceGroup.location())
            .resourceGroupName(exampleResourceGroup.name())
            .accountTier("Standard")
            .accountReplicationType("LRS")
            .build());

        var exampleWorkspace = new Workspace("exampleWorkspace", WorkspaceArgs.builder()        
            .location(exampleResourceGroup.location())
            .resourceGroupName(exampleResourceGroup.name())
            .applicationInsightsId(exampleInsights.id())
            .keyVaultId(exampleKeyVault.id())
            .storageAccountId(exampleAccount.id())
            .identity(WorkspaceIdentityArgs.builder()
                .type("SystemAssigned")
                .build())
            .build());

        var exampleVirtualNetwork = new VirtualNetwork("exampleVirtualNetwork", VirtualNetworkArgs.builder()        
            .addressSpaces("10.1.0.0/16")
            .location(exampleResourceGroup.location())
            .resourceGroupName(exampleResourceGroup.name())
            .build());

        var exampleSubnet = new Subnet("exampleSubnet", SubnetArgs.builder()        
            .resourceGroupName(exampleResourceGroup.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()        
            .location(exampleResourceGroup.location())
            .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());

    }
}
import pulumi
import pulumi_azure as azure

current = azure.core.get_client_config()
example_resource_group = azure.core.ResourceGroup("exampleResourceGroup",
    location="west europe",
    tags={
        "stage": "example",
    })
example_insights = azure.appinsights.Insights("exampleInsights",
    location=example_resource_group.location,
    resource_group_name=example_resource_group.name,
    application_type="web")
example_key_vault = azure.keyvault.KeyVault("exampleKeyVault",
    location=example_resource_group.location,
    resource_group_name=example_resource_group.name,
    tenant_id=current.tenant_id,
    sku_name="standard",
    purge_protection_enabled=True)
example_account = azure.storage.Account("exampleAccount",
    location=example_resource_group.location,
    resource_group_name=example_resource_group.name,
    account_tier="Standard",
    account_replication_type="LRS")
example_workspace = azure.machinelearning.Workspace("exampleWorkspace",
    location=example_resource_group.location,
    resource_group_name=example_resource_group.name,
    application_insights_id=example_insights.id,
    key_vault_id=example_key_vault.id,
    storage_account_id=example_account.id,
    identity=azure.machinelearning.WorkspaceIdentityArgs(
        type="SystemAssigned",
    ))
example_virtual_network = azure.network.VirtualNetwork("exampleVirtualNetwork",
    address_spaces=["10.1.0.0/16"],
    location=example_resource_group.location,
    resource_group_name=example_resource_group.name)
example_subnet = azure.network.Subnet("exampleSubnet",
    resource_group_name=example_resource_group.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("exampleComputeInstance",
    location=example_resource_group.location,
    machine_learning_workspace_id=example_workspace.id,
    virtual_machine_size="STANDARD_DS2_V2",
    authorization_type="personal",
    ssh=azure.machinelearning.ComputeInstanceSshArgs(
        public_key=ssh_key,
    ),
    subnet_resource_id=example_subnet.id,
    description="foo",
    tags={
        "foo": "bar",
    })
import * as pulumi from "@pulumi/pulumi";
import * as azure from "@pulumi/azure";

const current = azure.core.getClientConfig({});
const exampleResourceGroup = new azure.core.ResourceGroup("exampleResourceGroup", {
    location: "west europe",
    tags: {
        stage: "example",
    },
});
const exampleInsights = new azure.appinsights.Insights("exampleInsights", {
    location: exampleResourceGroup.location,
    resourceGroupName: exampleResourceGroup.name,
    applicationType: "web",
});
const exampleKeyVault = new azure.keyvault.KeyVault("exampleKeyVault", {
    location: exampleResourceGroup.location,
    resourceGroupName: exampleResourceGroup.name,
    tenantId: current.then(current => current.tenantId),
    skuName: "standard",
    purgeProtectionEnabled: true,
});
const exampleAccount = new azure.storage.Account("exampleAccount", {
    location: exampleResourceGroup.location,
    resourceGroupName: exampleResourceGroup.name,
    accountTier: "Standard",
    accountReplicationType: "LRS",
});
const exampleWorkspace = new azure.machinelearning.Workspace("exampleWorkspace", {
    location: exampleResourceGroup.location,
    resourceGroupName: exampleResourceGroup.name,
    applicationInsightsId: exampleInsights.id,
    keyVaultId: exampleKeyVault.id,
    storageAccountId: exampleAccount.id,
    identity: {
        type: "SystemAssigned",
    },
});
const exampleVirtualNetwork = new azure.network.VirtualNetwork("exampleVirtualNetwork", {
    addressSpaces: ["10.1.0.0/16"],
    location: exampleResourceGroup.location,
    resourceGroupName: exampleResourceGroup.name,
});
const exampleSubnet = new azure.network.Subnet("exampleSubnet", {
    resourceGroupName: exampleResourceGroup.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("exampleComputeInstance", {
    location: exampleResourceGroup.location,
    machineLearningWorkspaceId: exampleWorkspace.id,
    virtualMachineSize: "STANDARD_DS2_V2",
    authorizationType: "personal",
    ssh: {
        publicKey: sshKey,
    },
    subnetResourceId: exampleSubnet.id,
    description: "foo",
    tags: {
        foo: "bar",
    },
});
configuration:
  sshKey:
    type: string
    default: ssh-rsa AAAAB3NzaC1yc2EAAAADAQABAAABAQCqaZoyiz1qbdOQ8xEf6uEu1cCwYowo5FHtsBhqLoDnnp7KUTEBN+L2NxRIfQ781rxV6Iq5jSav6b2Q8z5KiseOlvKA/RF2wqU0UPYqQviQhLmW6THTpmrv/YkUCuzxDpsH7DUDhZcwySLKVVe0Qm3+5N2Ta6UYH3lsDf9R9wTP2K/+vAnflKebuypNlmocIvakFWoZda18FOmsOoIVXQ8HWFNCuw9ZCunMSN62QGamCe3dL5cXlkgHYv7ekJE15IA9aOJcM7e90oeTqo+7HTcWfdu0qQqPWY5ujyMw/llas8tsXY85LFqRnr3gJ02bAscjc477+X+j/gkpFoN1QEmt terraform@demo.tld
resources:
  exampleResourceGroup:
    type: azure:core:ResourceGroup
    properties:
      location: west europe
      tags:
        stage: example
  exampleInsights:
    type: azure:appinsights:Insights
    properties:
      location: ${exampleResourceGroup.location}
      resourceGroupName: ${exampleResourceGroup.name}
      applicationType: web
  exampleKeyVault:
    type: azure:keyvault:KeyVault
    properties:
      location: ${exampleResourceGroup.location}
      resourceGroupName: ${exampleResourceGroup.name}
      tenantId: ${current.tenantId}
      skuName: standard
      purgeProtectionEnabled: true
  exampleAccount:
    type: azure:storage:Account
    properties:
      location: ${exampleResourceGroup.location}
      resourceGroupName: ${exampleResourceGroup.name}
      accountTier: Standard
      accountReplicationType: LRS
  exampleWorkspace:
    type: azure:machinelearning:Workspace
    properties:
      location: ${exampleResourceGroup.location}
      resourceGroupName: ${exampleResourceGroup.name}
      applicationInsightsId: ${exampleInsights.id}
      keyVaultId: ${exampleKeyVault.id}
      storageAccountId: ${exampleAccount.id}
      identity:
        type: SystemAssigned
  exampleVirtualNetwork:
    type: azure:network:VirtualNetwork
    properties:
      addressSpaces:
        - 10.1.0.0/16
      location: ${exampleResourceGroup.location}
      resourceGroupName: ${exampleResourceGroup.name}
  exampleSubnet:
    type: azure:network:Subnet
    properties:
      resourceGroupName: ${exampleResourceGroup.name}
      virtualNetworkName: ${exampleVirtualNetwork.name}
      addressPrefixes:
        - 10.1.0.0/24
  exampleComputeInstance:
    type: azure:machinelearning:ComputeInstance
    properties:
      location: ${exampleResourceGroup.location}
      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

new ComputeInstance(name: string, args: ComputeInstanceArgs, opts?: CustomResourceOptions);
@overload
def ComputeInstance(resource_name: 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,
                    location: Optional[str] = None,
                    machine_learning_workspace_id: Optional[str] = None,
                    name: Optional[str] = None,
                    ssh: Optional[ComputeInstanceSshArgs] = None,
                    subnet_resource_id: Optional[str] = None,
                    tags: Optional[Mapping[str, str]] = None,
                    virtual_machine_size: Optional[str] = None)
@overload
def ComputeInstance(resource_name: str,
                    args: ComputeInstanceArgs,
                    opts: Optional[ResourceOptions] = 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.

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.

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

The ComputeInstance resource accepts the following input properties:

MachineLearningWorkspaceId string

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

VirtualMachineSize string

The Virtual Machine Size. Changing this forces a new Machine Learning Compute Instance to be created.

AssignToUser 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 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 ComputeInstanceIdentityArgs

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

LocalAuthEnabled bool

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

Location string

The Azure Region where the Machine Learning Compute Instance should exist. 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.

Ssh 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 string

Virtual network subnet resource ID the compute nodes belong to. Changing this forces a new Machine Learning Compute Instance to be created.

Tags 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 string

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

VirtualMachineSize string

The Virtual Machine Size. Changing this forces a new Machine Learning Compute Instance to be created.

AssignToUser 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 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 ComputeInstanceIdentityArgs

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

LocalAuthEnabled bool

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

Location string

The Azure Region where the Machine Learning Compute Instance should exist. 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.

Ssh 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 string

Virtual network subnet resource ID the compute nodes belong to. Changing this forces a new Machine Learning Compute Instance to be created.

Tags 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 String

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

virtualMachineSize String

The Virtual Machine Size. Changing this forces a new Machine Learning Compute Instance to be created.

assignToUser 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 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 ComputeInstanceIdentityArgs

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

localAuthEnabled Boolean

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

location String

The Azure Region where the Machine Learning Compute Instance should exist. 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.

ssh 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 String

Virtual network subnet resource ID the compute nodes belong to. Changing this forces a new Machine Learning Compute Instance to be created.

tags 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 string

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

virtualMachineSize string

The Virtual Machine Size. Changing this forces a new Machine Learning Compute Instance to be created.

assignToUser 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 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 ComputeInstanceIdentityArgs

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

localAuthEnabled boolean

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

location string

The Azure Region where the Machine Learning Compute Instance should exist. 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.

ssh 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 string

Virtual network subnet resource ID the compute nodes belong to. Changing this forces a new Machine Learning Compute Instance to be created.

tags {[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 str

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

virtual_machine_size str

The Virtual Machine Size. Changing this forces a new Machine Learning Compute Instance to be created.

assign_to_user 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 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 ComputeInstanceIdentityArgs

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

local_auth_enabled bool

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

location str

The Azure Region where the Machine Learning Compute Instance should exist. 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.

ssh 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 str

Virtual network subnet resource ID the compute nodes belong to. Changing this forces a new Machine Learning Compute Instance to be created.

tags 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 String

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

virtualMachineSize String

The Virtual Machine Size. Changing this forces a new Machine Learning Compute Instance to be created.

assignToUser 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 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 identity block as defined below. Changing this forces a new Machine Learning Compute Instance to be created.

localAuthEnabled Boolean

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

location String

The Azure Region where the Machine Learning Compute Instance should exist. 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.

ssh 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 String

Virtual network subnet resource ID the compute nodes belong to. Changing this forces a new Machine Learning Compute Instance to be created.

tags 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,
        location: Optional[str] = None,
        machine_learning_workspace_id: Optional[str] = None,
        name: Optional[str] = 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)
Resource lookup is not supported in YAML
name
The unique name of the resulting resource.
id
The unique provider ID of the resource to lookup.
state
Any extra arguments used during the lookup.
opts
A bag of options that control this resource's behavior.
resource_name
The unique name of the resulting resource.
id
The unique provider ID of the resource to lookup.
name
The unique name of the resulting resource.
id
The unique provider ID of the resource to lookup.
state
Any extra arguments used during the lookup.
opts
A bag of options that control this resource's behavior.
name
The unique name of the resulting resource.
id
The unique provider ID of the resource to lookup.
state
Any extra arguments used during the lookup.
opts
A bag of options that control this resource's behavior.
name
The unique name of the resulting resource.
id
The unique provider ID of the resource to lookup.
state
Any extra arguments used during the lookup.
opts
A bag of options that control this resource's behavior.
The following state arguments are supported:
AssignToUser 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 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 ComputeInstanceIdentityArgs

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

LocalAuthEnabled bool

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

Location string

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

MachineLearningWorkspaceId string

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.

Ssh 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 string

Virtual network subnet resource ID the compute nodes belong to. Changing this forces a new Machine Learning Compute Instance to be created.

Tags 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 string

The Virtual Machine Size. Changing this forces a new Machine Learning Compute Instance to be created.

AssignToUser 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 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 ComputeInstanceIdentityArgs

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

LocalAuthEnabled bool

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

Location string

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

MachineLearningWorkspaceId string

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.

Ssh 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 string

Virtual network subnet resource ID the compute nodes belong to. Changing this forces a new Machine Learning Compute Instance to be created.

Tags 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 string

The Virtual Machine Size. Changing this forces a new Machine Learning Compute Instance to be created.

assignToUser 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 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 ComputeInstanceIdentityArgs

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

localAuthEnabled Boolean

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

location String

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

machineLearningWorkspaceId String

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.

ssh 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 String

Virtual network subnet resource ID the compute nodes belong to. Changing this forces a new Machine Learning Compute Instance to be created.

tags 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 String

The Virtual Machine Size. Changing this forces a new Machine Learning Compute Instance to be created.

assignToUser 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 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 ComputeInstanceIdentityArgs

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

localAuthEnabled boolean

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

location string

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

machineLearningWorkspaceId string

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.

ssh 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 string

Virtual network subnet resource ID the compute nodes belong to. Changing this forces a new Machine Learning Compute Instance to be created.

tags {[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 string

The Virtual Machine Size. Changing this forces a new Machine Learning Compute Instance to be created.

assign_to_user 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 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 ComputeInstanceIdentityArgs

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

local_auth_enabled bool

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

location str

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

machine_learning_workspace_id str

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.

ssh 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 str

Virtual network subnet resource ID the compute nodes belong to. Changing this forces a new Machine Learning Compute Instance to be created.

tags 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 str

The Virtual Machine Size. Changing this forces a new Machine Learning Compute Instance to be created.

assignToUser 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 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 identity block as defined below. Changing this forces a new Machine Learning Compute Instance to be created.

localAuthEnabled Boolean

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

location String

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

machineLearningWorkspaceId String

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.

ssh 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 String

Virtual network subnet resource ID the compute nodes belong to. Changing this forces a new Machine Learning Compute Instance to be created.

tags 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 String

The Virtual Machine Size. Changing this forces a new Machine Learning Compute Instance to be created.

Supporting Types

ComputeInstanceAssignToUser

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

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.

PrincipalId string

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

TenantId string

User’s AAD Tenant Id.

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.

PrincipalId string

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

TenantId string

User’s AAD Tenant Id.

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.

principalId String

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

tenantId String

User’s AAD Tenant Id.

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.

principalId string

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

tenantId string

User’s AAD Tenant Id.

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.

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

User’s AAD Tenant Id.

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.

principalId String

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

tenantId String

User’s AAD Tenant Id.

ComputeInstanceSsh

PublicKey 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 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 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 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 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 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

Package Details

Repository
Azure Classic pulumi/pulumi-azure
License
Apache-2.0
Notes

This Pulumi package is based on the azurerm Terraform Provider.