We recommend using Azure Native.
azure.machinelearning.ComputeInstance
Explore with Pulumi AI
Manages a Machine Learning Compute Instance.
Example Usage
using System.Collections.Generic;
using System.Linq;
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,
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)
@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:
- Machine
Learning stringWorkspace Id The ID of the Machine Learning Workspace. Changing this forces a new Machine Learning Compute Instance to be created.
- Virtual
Machine stringSize The Virtual Machine Size. Changing this forces a new Machine Learning Compute Instance to be created.
- Assign
To ComputeUser Instance Assign To User 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.- 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
Compute
Instance Identity An
identity
block 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.- 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.
- Node
Public boolIp Enabled Whether the compute instance will have a public ip. To set this to false a
subnet_resource_id
needs to be set. Defaults totrue
. Changing this forces a new Machine Learning Compute Cluster to be created.- Ssh
Compute
Instance Ssh 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 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.
- Machine
Learning stringWorkspace Id The ID of the Machine Learning Workspace. Changing this forces a new Machine Learning Compute Instance to be created.
- Virtual
Machine 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_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.- 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
Compute
Instance Identity Args An
identity
block 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.- 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.
- Node
Public boolIp Enabled Whether the compute instance will have a public ip. To set this to false a
subnet_resource_id
needs to be set. Defaults totrue
. Changing this forces a new Machine Learning Compute Cluster to be created.- Ssh
Compute
Instance Ssh Args 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 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.
- machine
Learning StringWorkspace Id The ID of the Machine Learning Workspace. Changing this forces a new Machine Learning Compute Instance to be created.
- virtual
Machine StringSize The Virtual Machine Size. Changing this forces a new Machine Learning Compute Instance to be created.
- assign
To ComputeUser Instance Assign To User 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.- 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
Compute
Instance Identity An
identity
block as defined below. Changing this forces a new Machine Learning Compute Instance to be created.- local
Auth BooleanEnabled 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.
- node
Public BooleanIp Enabled Whether the compute instance will have a public ip. To set this to false a
subnet_resource_id
needs to be set. Defaults totrue
. Changing this forces a new Machine Learning Compute Cluster to be created.- ssh
Compute
Instance Ssh 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 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.
- machine
Learning stringWorkspace Id The ID of the Machine Learning Workspace. Changing this forces a new Machine Learning Compute Instance to be created.
- virtual
Machine stringSize The Virtual Machine Size. Changing this forces a new Machine Learning Compute Instance to be created.
- assign
To ComputeUser Instance Assign To User 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.- 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
Compute
Instance Identity An
identity
block as defined below. Changing this forces a new Machine Learning Compute Instance to be created.- local
Auth booleanEnabled 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.
- node
Public booleanIp Enabled Whether the compute instance will have a public ip. To set this to false a
subnet_resource_id
needs to be set. Defaults totrue
. Changing this forces a new Machine Learning Compute Cluster to be created.- ssh
Compute
Instance Ssh 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 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_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.- 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
Compute
Instance Identity Args An
identity
block 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.- 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.
- node_
public_ boolip_ enabled Whether the compute instance will have a public ip. To set this to false a
subnet_resource_id
needs to be set. Defaults totrue
. Changing this forces a new Machine Learning Compute Cluster to be created.- ssh
Compute
Instance Ssh Args 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_ 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.
- machine
Learning StringWorkspace Id The ID of the Machine Learning Workspace. Changing this forces a new Machine Learning Compute Instance to be created.
- virtual
Machine StringSize The Virtual Machine Size. Changing this forces a new Machine Learning Compute Instance to be created.
- assign
To Property MapUser 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.- 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.- local
Auth BooleanEnabled 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.
- node
Public BooleanIp Enabled Whether the compute instance will have a public ip. To set this to false a
subnet_resource_id
needs to be set. Defaults totrue
. Changing this forces a new Machine Learning Compute Cluster 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.- subnet
Resource 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,
location: Optional[str] = None,
machine_learning_workspace_id: Optional[str] = None,
name: Optional[str] = None,
node_public_ip_enabled: Optional[bool] = None,
ssh: Optional[ComputeInstanceSshArgs] = None,
subnet_resource_id: Optional[str] = None,
tags: Optional[Mapping[str, str]] = None,
virtual_machine_size: Optional[str] = None) -> ComputeInstance
func GetComputeInstance(ctx *Context, name string, id IDInput, state *ComputeInstanceState, opts ...ResourceOption) (*ComputeInstance, error)
public static ComputeInstance Get(string name, Input<string> id, ComputeInstanceState? state, CustomResourceOptions? opts = null)
public static ComputeInstance get(String name, Output<String> id, ComputeInstanceState state, CustomResourceOptions options)
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.
- Assign
To ComputeUser Instance Assign To User 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.- 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
Compute
Instance Identity An
identity
block 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.- 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.
- Machine
Learning 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.
- Node
Public boolIp Enabled Whether the compute instance will have a public ip. To set this to false a
subnet_resource_id
needs to be set. Defaults totrue
. Changing this forces a new Machine Learning Compute Cluster to be created.- Ssh
Compute
Instance Ssh 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 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.
- Virtual
Machine 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_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.- 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
Compute
Instance Identity Args An
identity
block 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.- 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.
- Machine
Learning 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.
- Node
Public boolIp Enabled Whether the compute instance will have a public ip. To set this to false a
subnet_resource_id
needs to be set. Defaults totrue
. Changing this forces a new Machine Learning Compute Cluster to be created.- Ssh
Compute
Instance Ssh Args 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 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.
- Virtual
Machine stringSize The Virtual Machine Size. Changing this forces a new Machine Learning Compute Instance to be created.
- assign
To ComputeUser Instance Assign To User 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.- 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
Compute
Instance Identity An
identity
block as defined below. Changing this forces a new Machine Learning Compute Instance to be created.- local
Auth BooleanEnabled 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.
- machine
Learning 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.
- node
Public BooleanIp Enabled Whether the compute instance will have a public ip. To set this to false a
subnet_resource_id
needs to be set. Defaults totrue
. Changing this forces a new Machine Learning Compute Cluster to be created.- ssh
Compute
Instance Ssh 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 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.
- virtual
Machine StringSize The Virtual Machine Size. Changing this forces a new Machine Learning Compute Instance to be created.
- assign
To ComputeUser Instance Assign To User 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.- 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
Compute
Instance Identity An
identity
block as defined below. Changing this forces a new Machine Learning Compute Instance to be created.- local
Auth booleanEnabled 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.
- machine
Learning 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.
- node
Public booleanIp Enabled Whether the compute instance will have a public ip. To set this to false a
subnet_resource_id
needs to be set. Defaults totrue
. Changing this forces a new Machine Learning Compute Cluster to be created.- ssh
Compute
Instance Ssh 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 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.
- virtual
Machine 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_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.- 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
Compute
Instance Identity Args An
identity
block 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.- 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_ 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_id
needs to be set. Defaults totrue
. Changing this forces a new Machine Learning Compute Cluster to be created.- ssh
Compute
Instance Ssh Args 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_ 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.
- assign
To Property MapUser 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.- 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.- local
Auth BooleanEnabled 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.
- machine
Learning 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.
- node
Public BooleanIp Enabled Whether the compute instance will have a public ip. To set this to false a
subnet_resource_id
needs to be set. Defaults totrue
. Changing this forces a new Machine Learning Compute Cluster 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.- subnet
Resource 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.
- virtual
Machine 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.- Identity
Ids List<string> Specifies a list of User Assigned Managed Identity IDs to be assigned to this Machine Learning Compute Instance. Changing this forces a new resource to be created.
NOTE: This is required when
type
is set toUserAssigned
orSystemAssigned, UserAssigned
.- Principal
Id string The Principal ID for the Service Principal associated with the Managed Service Identity of this Machine Learning Compute Instance.
- Tenant
Id 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.- Identity
Ids []string Specifies a list of User Assigned Managed Identity IDs to be assigned to this Machine Learning Compute Instance. Changing this forces a new resource to be created.
NOTE: This is required when
type
is set toUserAssigned
orSystemAssigned, UserAssigned
.- Principal
Id string The Principal ID for the Service Principal associated with the Managed Service Identity of this Machine Learning Compute Instance.
- Tenant
Id 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.- identity
Ids List<String> Specifies a list of User Assigned Managed Identity IDs to be assigned to this Machine Learning Compute Instance. Changing this forces a new resource to be created.
NOTE: This is required when
type
is set toUserAssigned
orSystemAssigned, UserAssigned
.- principal
Id String The Principal ID for the Service Principal associated with the Managed Service Identity of this Machine Learning Compute Instance.
- tenant
Id 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.- identity
Ids string[] Specifies a list of User Assigned Managed Identity IDs to be assigned to this Machine Learning Compute Instance. Changing this forces a new resource to be created.
NOTE: This is required when
type
is set toUserAssigned
orSystemAssigned, UserAssigned
.- principal
Id string The Principal ID for the Service Principal associated with the Managed Service Identity of this Machine Learning Compute Instance.
- tenant
Id 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.
NOTE: This is required when
type
is set toUserAssigned
orSystemAssigned, 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 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.- identity
Ids List<String> Specifies a list of User Assigned Managed Identity IDs to be assigned to this Machine Learning Compute Instance. Changing this forces a new resource to be created.
NOTE: This is required when
type
is set toUserAssigned
orSystemAssigned, UserAssigned
.- principal
Id String The Principal ID for the Service Principal associated with the Managed Service Identity of this Machine Learning Compute Instance.
- tenant
Id String User’s AAD Tenant Id.
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
Package Details
- Repository
- Azure Classic pulumi/pulumi-azure
- License
- Apache-2.0
- Notes
This Pulumi package is based on the
azurerm
Terraform Provider.