We recommend using Azure Native.
azure.machinelearning.ComputeCluster
Explore with Pulumi AI
Manages a Machine Learning Compute Cluster. NOTE: At this point in time the resource cannot be updated (not supported by the backend Azure Go SDK). Therefore it can only be created and deleted, not updated. At the moment, there is also no possibility to specify ssh User Account Credentials to ssh into the compute cluster.
Example Usage
import * as pulumi from "@pulumi/pulumi";
import * as azure from "@pulumi/azure";
const current = azure.core.getClientConfig({});
const example = new azure.core.ResourceGroup("example", {
name: "example-rg",
location: "west europe",
tags: {
stage: "example",
},
});
const exampleInsights = new azure.appinsights.Insights("example", {
name: "example-ai",
location: example.location,
resourceGroupName: example.name,
applicationType: "web",
});
const exampleKeyVault = new azure.keyvault.KeyVault("example", {
name: "example-kv",
location: example.location,
resourceGroupName: example.name,
tenantId: current.then(current => current.tenantId),
skuName: "standard",
purgeProtectionEnabled: true,
});
const exampleAccount = new azure.storage.Account("example", {
name: "examplesa",
location: example.location,
resourceGroupName: example.name,
accountTier: "Standard",
accountReplicationType: "LRS",
});
const exampleWorkspace = new azure.machinelearning.Workspace("example", {
name: "example-mlw",
location: example.location,
resourceGroupName: example.name,
applicationInsightsId: exampleInsights.id,
keyVaultId: exampleKeyVault.id,
storageAccountId: exampleAccount.id,
identity: {
type: "SystemAssigned",
},
});
const exampleVirtualNetwork = new azure.network.VirtualNetwork("example", {
name: "example-vnet",
addressSpaces: ["10.1.0.0/16"],
location: example.location,
resourceGroupName: example.name,
});
const exampleSubnet = new azure.network.Subnet("example", {
name: "example-subnet",
resourceGroupName: example.name,
virtualNetworkName: exampleVirtualNetwork.name,
addressPrefixes: ["10.1.0.0/24"],
});
const test = new azure.machinelearning.ComputeCluster("test", {
name: "example",
location: example.location,
vmPriority: "LowPriority",
vmSize: "Standard_DS2_v2",
machineLearningWorkspaceId: exampleWorkspace.id,
subnetResourceId: exampleSubnet.id,
scaleSettings: {
minNodeCount: 0,
maxNodeCount: 1,
scaleDownNodesAfterIdleDuration: "PT30S",
},
identity: {
type: "SystemAssigned",
},
});
import pulumi
import pulumi_azure as azure
current = azure.core.get_client_config()
example = azure.core.ResourceGroup("example",
name="example-rg",
location="west europe",
tags={
"stage": "example",
})
example_insights = azure.appinsights.Insights("example",
name="example-ai",
location=example.location,
resource_group_name=example.name,
application_type="web")
example_key_vault = azure.keyvault.KeyVault("example",
name="example-kv",
location=example.location,
resource_group_name=example.name,
tenant_id=current.tenant_id,
sku_name="standard",
purge_protection_enabled=True)
example_account = azure.storage.Account("example",
name="examplesa",
location=example.location,
resource_group_name=example.name,
account_tier="Standard",
account_replication_type="LRS")
example_workspace = azure.machinelearning.Workspace("example",
name="example-mlw",
location=example.location,
resource_group_name=example.name,
application_insights_id=example_insights.id,
key_vault_id=example_key_vault.id,
storage_account_id=example_account.id,
identity={
"type": "SystemAssigned",
})
example_virtual_network = azure.network.VirtualNetwork("example",
name="example-vnet",
address_spaces=["10.1.0.0/16"],
location=example.location,
resource_group_name=example.name)
example_subnet = azure.network.Subnet("example",
name="example-subnet",
resource_group_name=example.name,
virtual_network_name=example_virtual_network.name,
address_prefixes=["10.1.0.0/24"])
test = azure.machinelearning.ComputeCluster("test",
name="example",
location=example.location,
vm_priority="LowPriority",
vm_size="Standard_DS2_v2",
machine_learning_workspace_id=example_workspace.id,
subnet_resource_id=example_subnet.id,
scale_settings={
"min_node_count": 0,
"max_node_count": 1,
"scale_down_nodes_after_idle_duration": "PT30S",
},
identity={
"type": "SystemAssigned",
})
package main
import (
"github.com/pulumi/pulumi-azure/sdk/v6/go/azure/appinsights"
"github.com/pulumi/pulumi-azure/sdk/v6/go/azure/core"
"github.com/pulumi/pulumi-azure/sdk/v6/go/azure/keyvault"
"github.com/pulumi/pulumi-azure/sdk/v6/go/azure/machinelearning"
"github.com/pulumi/pulumi-azure/sdk/v6/go/azure/network"
"github.com/pulumi/pulumi-azure/sdk/v6/go/azure/storage"
"github.com/pulumi/pulumi/sdk/v3/go/pulumi"
)
func main() {
pulumi.Run(func(ctx *pulumi.Context) error {
current, err := core.GetClientConfig(ctx, nil, nil)
if err != nil {
return err
}
example, err := core.NewResourceGroup(ctx, "example", &core.ResourceGroupArgs{
Name: pulumi.String("example-rg"),
Location: pulumi.String("west europe"),
Tags: pulumi.StringMap{
"stage": pulumi.String("example"),
},
})
if err != nil {
return err
}
exampleInsights, err := appinsights.NewInsights(ctx, "example", &appinsights.InsightsArgs{
Name: pulumi.String("example-ai"),
Location: example.Location,
ResourceGroupName: example.Name,
ApplicationType: pulumi.String("web"),
})
if err != nil {
return err
}
exampleKeyVault, err := keyvault.NewKeyVault(ctx, "example", &keyvault.KeyVaultArgs{
Name: pulumi.String("example-kv"),
Location: example.Location,
ResourceGroupName: example.Name,
TenantId: pulumi.String(current.TenantId),
SkuName: pulumi.String("standard"),
PurgeProtectionEnabled: pulumi.Bool(true),
})
if err != nil {
return err
}
exampleAccount, err := storage.NewAccount(ctx, "example", &storage.AccountArgs{
Name: pulumi.String("examplesa"),
Location: example.Location,
ResourceGroupName: example.Name,
AccountTier: pulumi.String("Standard"),
AccountReplicationType: pulumi.String("LRS"),
})
if err != nil {
return err
}
exampleWorkspace, err := machinelearning.NewWorkspace(ctx, "example", &machinelearning.WorkspaceArgs{
Name: pulumi.String("example-mlw"),
Location: example.Location,
ResourceGroupName: example.Name,
ApplicationInsightsId: exampleInsights.ID(),
KeyVaultId: exampleKeyVault.ID(),
StorageAccountId: exampleAccount.ID(),
Identity: &machinelearning.WorkspaceIdentityArgs{
Type: pulumi.String("SystemAssigned"),
},
})
if err != nil {
return err
}
exampleVirtualNetwork, err := network.NewVirtualNetwork(ctx, "example", &network.VirtualNetworkArgs{
Name: pulumi.String("example-vnet"),
AddressSpaces: pulumi.StringArray{
pulumi.String("10.1.0.0/16"),
},
Location: example.Location,
ResourceGroupName: example.Name,
})
if err != nil {
return err
}
exampleSubnet, err := network.NewSubnet(ctx, "example", &network.SubnetArgs{
Name: pulumi.String("example-subnet"),
ResourceGroupName: example.Name,
VirtualNetworkName: exampleVirtualNetwork.Name,
AddressPrefixes: pulumi.StringArray{
pulumi.String("10.1.0.0/24"),
},
})
if err != nil {
return err
}
_, err = machinelearning.NewComputeCluster(ctx, "test", &machinelearning.ComputeClusterArgs{
Name: pulumi.String("example"),
Location: example.Location,
VmPriority: pulumi.String("LowPriority"),
VmSize: pulumi.String("Standard_DS2_v2"),
MachineLearningWorkspaceId: exampleWorkspace.ID(),
SubnetResourceId: exampleSubnet.ID(),
ScaleSettings: &machinelearning.ComputeClusterScaleSettingsArgs{
MinNodeCount: pulumi.Int(0),
MaxNodeCount: pulumi.Int(1),
ScaleDownNodesAfterIdleDuration: pulumi.String("PT30S"),
},
Identity: &machinelearning.ComputeClusterIdentityArgs{
Type: pulumi.String("SystemAssigned"),
},
})
if err != nil {
return err
}
return nil
})
}
using System.Collections.Generic;
using System.Linq;
using Pulumi;
using Azure = Pulumi.Azure;
return await Deployment.RunAsync(() =>
{
var current = Azure.Core.GetClientConfig.Invoke();
var example = new Azure.Core.ResourceGroup("example", new()
{
Name = "example-rg",
Location = "west europe",
Tags =
{
{ "stage", "example" },
},
});
var exampleInsights = new Azure.AppInsights.Insights("example", new()
{
Name = "example-ai",
Location = example.Location,
ResourceGroupName = example.Name,
ApplicationType = "web",
});
var exampleKeyVault = new Azure.KeyVault.KeyVault("example", new()
{
Name = "example-kv",
Location = example.Location,
ResourceGroupName = example.Name,
TenantId = current.Apply(getClientConfigResult => getClientConfigResult.TenantId),
SkuName = "standard",
PurgeProtectionEnabled = true,
});
var exampleAccount = new Azure.Storage.Account("example", new()
{
Name = "examplesa",
Location = example.Location,
ResourceGroupName = example.Name,
AccountTier = "Standard",
AccountReplicationType = "LRS",
});
var exampleWorkspace = new Azure.MachineLearning.Workspace("example", new()
{
Name = "example-mlw",
Location = example.Location,
ResourceGroupName = example.Name,
ApplicationInsightsId = exampleInsights.Id,
KeyVaultId = exampleKeyVault.Id,
StorageAccountId = exampleAccount.Id,
Identity = new Azure.MachineLearning.Inputs.WorkspaceIdentityArgs
{
Type = "SystemAssigned",
},
});
var exampleVirtualNetwork = new Azure.Network.VirtualNetwork("example", new()
{
Name = "example-vnet",
AddressSpaces = new[]
{
"10.1.0.0/16",
},
Location = example.Location,
ResourceGroupName = example.Name,
});
var exampleSubnet = new Azure.Network.Subnet("example", new()
{
Name = "example-subnet",
ResourceGroupName = example.Name,
VirtualNetworkName = exampleVirtualNetwork.Name,
AddressPrefixes = new[]
{
"10.1.0.0/24",
},
});
var test = new Azure.MachineLearning.ComputeCluster("test", new()
{
Name = "example",
Location = example.Location,
VmPriority = "LowPriority",
VmSize = "Standard_DS2_v2",
MachineLearningWorkspaceId = exampleWorkspace.Id,
SubnetResourceId = exampleSubnet.Id,
ScaleSettings = new Azure.MachineLearning.Inputs.ComputeClusterScaleSettingsArgs
{
MinNodeCount = 0,
MaxNodeCount = 1,
ScaleDownNodesAfterIdleDuration = "PT30S",
},
Identity = new Azure.MachineLearning.Inputs.ComputeClusterIdentityArgs
{
Type = "SystemAssigned",
},
});
});
package generated_program;
import com.pulumi.Context;
import com.pulumi.Pulumi;
import com.pulumi.core.Output;
import com.pulumi.azure.core.CoreFunctions;
import com.pulumi.azure.core.ResourceGroup;
import com.pulumi.azure.core.ResourceGroupArgs;
import com.pulumi.azure.appinsights.Insights;
import com.pulumi.azure.appinsights.InsightsArgs;
import com.pulumi.azure.keyvault.KeyVault;
import com.pulumi.azure.keyvault.KeyVaultArgs;
import com.pulumi.azure.storage.Account;
import com.pulumi.azure.storage.AccountArgs;
import com.pulumi.azure.machinelearning.Workspace;
import com.pulumi.azure.machinelearning.WorkspaceArgs;
import com.pulumi.azure.machinelearning.inputs.WorkspaceIdentityArgs;
import com.pulumi.azure.network.VirtualNetwork;
import com.pulumi.azure.network.VirtualNetworkArgs;
import com.pulumi.azure.network.Subnet;
import com.pulumi.azure.network.SubnetArgs;
import com.pulumi.azure.machinelearning.ComputeCluster;
import com.pulumi.azure.machinelearning.ComputeClusterArgs;
import com.pulumi.azure.machinelearning.inputs.ComputeClusterScaleSettingsArgs;
import com.pulumi.azure.machinelearning.inputs.ComputeClusterIdentityArgs;
import java.util.List;
import java.util.ArrayList;
import java.util.Map;
import java.io.File;
import java.nio.file.Files;
import java.nio.file.Paths;
public class App {
public static void main(String[] args) {
Pulumi.run(App::stack);
}
public static void stack(Context ctx) {
final var current = CoreFunctions.getClientConfig();
var example = new ResourceGroup("example", ResourceGroupArgs.builder()
.name("example-rg")
.location("west europe")
.tags(Map.of("stage", "example"))
.build());
var exampleInsights = new Insights("exampleInsights", InsightsArgs.builder()
.name("example-ai")
.location(example.location())
.resourceGroupName(example.name())
.applicationType("web")
.build());
var exampleKeyVault = new KeyVault("exampleKeyVault", KeyVaultArgs.builder()
.name("example-kv")
.location(example.location())
.resourceGroupName(example.name())
.tenantId(current.applyValue(getClientConfigResult -> getClientConfigResult.tenantId()))
.skuName("standard")
.purgeProtectionEnabled(true)
.build());
var exampleAccount = new Account("exampleAccount", AccountArgs.builder()
.name("examplesa")
.location(example.location())
.resourceGroupName(example.name())
.accountTier("Standard")
.accountReplicationType("LRS")
.build());
var exampleWorkspace = new Workspace("exampleWorkspace", WorkspaceArgs.builder()
.name("example-mlw")
.location(example.location())
.resourceGroupName(example.name())
.applicationInsightsId(exampleInsights.id())
.keyVaultId(exampleKeyVault.id())
.storageAccountId(exampleAccount.id())
.identity(WorkspaceIdentityArgs.builder()
.type("SystemAssigned")
.build())
.build());
var exampleVirtualNetwork = new VirtualNetwork("exampleVirtualNetwork", VirtualNetworkArgs.builder()
.name("example-vnet")
.addressSpaces("10.1.0.0/16")
.location(example.location())
.resourceGroupName(example.name())
.build());
var exampleSubnet = new Subnet("exampleSubnet", SubnetArgs.builder()
.name("example-subnet")
.resourceGroupName(example.name())
.virtualNetworkName(exampleVirtualNetwork.name())
.addressPrefixes("10.1.0.0/24")
.build());
var test = new ComputeCluster("test", ComputeClusterArgs.builder()
.name("example")
.location(example.location())
.vmPriority("LowPriority")
.vmSize("Standard_DS2_v2")
.machineLearningWorkspaceId(exampleWorkspace.id())
.subnetResourceId(exampleSubnet.id())
.scaleSettings(ComputeClusterScaleSettingsArgs.builder()
.minNodeCount(0)
.maxNodeCount(1)
.scaleDownNodesAfterIdleDuration("PT30S")
.build())
.identity(ComputeClusterIdentityArgs.builder()
.type("SystemAssigned")
.build())
.build());
}
}
resources:
example:
type: azure:core:ResourceGroup
properties:
name: example-rg
location: west europe
tags:
stage: example
exampleInsights:
type: azure:appinsights:Insights
name: example
properties:
name: example-ai
location: ${example.location}
resourceGroupName: ${example.name}
applicationType: web
exampleKeyVault:
type: azure:keyvault:KeyVault
name: example
properties:
name: example-kv
location: ${example.location}
resourceGroupName: ${example.name}
tenantId: ${current.tenantId}
skuName: standard
purgeProtectionEnabled: true
exampleAccount:
type: azure:storage:Account
name: example
properties:
name: examplesa
location: ${example.location}
resourceGroupName: ${example.name}
accountTier: Standard
accountReplicationType: LRS
exampleWorkspace:
type: azure:machinelearning:Workspace
name: example
properties:
name: example-mlw
location: ${example.location}
resourceGroupName: ${example.name}
applicationInsightsId: ${exampleInsights.id}
keyVaultId: ${exampleKeyVault.id}
storageAccountId: ${exampleAccount.id}
identity:
type: SystemAssigned
exampleVirtualNetwork:
type: azure:network:VirtualNetwork
name: example
properties:
name: example-vnet
addressSpaces:
- 10.1.0.0/16
location: ${example.location}
resourceGroupName: ${example.name}
exampleSubnet:
type: azure:network:Subnet
name: example
properties:
name: example-subnet
resourceGroupName: ${example.name}
virtualNetworkName: ${exampleVirtualNetwork.name}
addressPrefixes:
- 10.1.0.0/24
test:
type: azure:machinelearning:ComputeCluster
properties:
name: example
location: ${example.location}
vmPriority: LowPriority
vmSize: Standard_DS2_v2
machineLearningWorkspaceId: ${exampleWorkspace.id}
subnetResourceId: ${exampleSubnet.id}
scaleSettings:
minNodeCount: 0
maxNodeCount: 1
scaleDownNodesAfterIdleDuration: PT30S
identity:
type: SystemAssigned
variables:
current:
fn::invoke:
Function: azure:core:getClientConfig
Arguments: {}
Create ComputeCluster Resource
Resources are created with functions called constructors. To learn more about declaring and configuring resources, see Resources.
Constructor syntax
new ComputeCluster(name: string, args: ComputeClusterArgs, opts?: CustomResourceOptions);
@overload
def ComputeCluster(resource_name: str,
args: ComputeClusterArgs,
opts: Optional[ResourceOptions] = None)
@overload
def ComputeCluster(resource_name: str,
opts: Optional[ResourceOptions] = None,
machine_learning_workspace_id: Optional[str] = None,
vm_size: Optional[str] = None,
vm_priority: Optional[str] = None,
scale_settings: Optional[ComputeClusterScaleSettingsArgs] = None,
node_public_ip_enabled: Optional[bool] = None,
name: Optional[str] = None,
description: Optional[str] = None,
location: Optional[str] = None,
ssh: Optional[ComputeClusterSshArgs] = None,
ssh_public_access_enabled: Optional[bool] = None,
subnet_resource_id: Optional[str] = None,
tags: Optional[Mapping[str, str]] = None,
local_auth_enabled: Optional[bool] = None,
identity: Optional[ComputeClusterIdentityArgs] = None)
func NewComputeCluster(ctx *Context, name string, args ComputeClusterArgs, opts ...ResourceOption) (*ComputeCluster, error)
public ComputeCluster(string name, ComputeClusterArgs args, CustomResourceOptions? opts = null)
public ComputeCluster(String name, ComputeClusterArgs args)
public ComputeCluster(String name, ComputeClusterArgs args, CustomResourceOptions options)
type: azure:machinelearning:ComputeCluster
properties: # The arguments to resource properties.
options: # Bag of options to control resource's behavior.
Parameters
- name string
- The unique name of the resource.
- args ComputeClusterArgs
- 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 ComputeClusterArgs
- 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 ComputeClusterArgs
- The arguments to resource properties.
- opts ResourceOption
- Bag of options to control resource's behavior.
- name string
- The unique name of the resource.
- args ComputeClusterArgs
- The arguments to resource properties.
- opts CustomResourceOptions
- Bag of options to control resource's behavior.
- name String
- The unique name of the resource.
- args ComputeClusterArgs
- The arguments to resource properties.
- options CustomResourceOptions
- Bag of options to control resource's behavior.
Constructor example
The following reference example uses placeholder values for all input properties.
var computeClusterResource = new Azure.MachineLearning.ComputeCluster("computeClusterResource", new()
{
MachineLearningWorkspaceId = "string",
VmSize = "string",
VmPriority = "string",
ScaleSettings = new Azure.MachineLearning.Inputs.ComputeClusterScaleSettingsArgs
{
MaxNodeCount = 0,
MinNodeCount = 0,
ScaleDownNodesAfterIdleDuration = "string",
},
NodePublicIpEnabled = false,
Name = "string",
Description = "string",
Location = "string",
Ssh = new Azure.MachineLearning.Inputs.ComputeClusterSshArgs
{
AdminUsername = "string",
AdminPassword = "string",
KeyValue = "string",
},
SshPublicAccessEnabled = false,
SubnetResourceId = "string",
Tags =
{
{ "string", "string" },
},
LocalAuthEnabled = false,
Identity = new Azure.MachineLearning.Inputs.ComputeClusterIdentityArgs
{
Type = "string",
IdentityIds = new[]
{
"string",
},
PrincipalId = "string",
TenantId = "string",
},
});
example, err := machinelearning.NewComputeCluster(ctx, "computeClusterResource", &machinelearning.ComputeClusterArgs{
MachineLearningWorkspaceId: pulumi.String("string"),
VmSize: pulumi.String("string"),
VmPriority: pulumi.String("string"),
ScaleSettings: &machinelearning.ComputeClusterScaleSettingsArgs{
MaxNodeCount: pulumi.Int(0),
MinNodeCount: pulumi.Int(0),
ScaleDownNodesAfterIdleDuration: pulumi.String("string"),
},
NodePublicIpEnabled: pulumi.Bool(false),
Name: pulumi.String("string"),
Description: pulumi.String("string"),
Location: pulumi.String("string"),
Ssh: &machinelearning.ComputeClusterSshArgs{
AdminUsername: pulumi.String("string"),
AdminPassword: pulumi.String("string"),
KeyValue: pulumi.String("string"),
},
SshPublicAccessEnabled: pulumi.Bool(false),
SubnetResourceId: pulumi.String("string"),
Tags: pulumi.StringMap{
"string": pulumi.String("string"),
},
LocalAuthEnabled: pulumi.Bool(false),
Identity: &machinelearning.ComputeClusterIdentityArgs{
Type: pulumi.String("string"),
IdentityIds: pulumi.StringArray{
pulumi.String("string"),
},
PrincipalId: pulumi.String("string"),
TenantId: pulumi.String("string"),
},
})
var computeClusterResource = new ComputeCluster("computeClusterResource", ComputeClusterArgs.builder()
.machineLearningWorkspaceId("string")
.vmSize("string")
.vmPriority("string")
.scaleSettings(ComputeClusterScaleSettingsArgs.builder()
.maxNodeCount(0)
.minNodeCount(0)
.scaleDownNodesAfterIdleDuration("string")
.build())
.nodePublicIpEnabled(false)
.name("string")
.description("string")
.location("string")
.ssh(ComputeClusterSshArgs.builder()
.adminUsername("string")
.adminPassword("string")
.keyValue("string")
.build())
.sshPublicAccessEnabled(false)
.subnetResourceId("string")
.tags(Map.of("string", "string"))
.localAuthEnabled(false)
.identity(ComputeClusterIdentityArgs.builder()
.type("string")
.identityIds("string")
.principalId("string")
.tenantId("string")
.build())
.build());
compute_cluster_resource = azure.machinelearning.ComputeCluster("computeClusterResource",
machine_learning_workspace_id="string",
vm_size="string",
vm_priority="string",
scale_settings={
"maxNodeCount": 0,
"minNodeCount": 0,
"scaleDownNodesAfterIdleDuration": "string",
},
node_public_ip_enabled=False,
name="string",
description="string",
location="string",
ssh={
"adminUsername": "string",
"adminPassword": "string",
"keyValue": "string",
},
ssh_public_access_enabled=False,
subnet_resource_id="string",
tags={
"string": "string",
},
local_auth_enabled=False,
identity={
"type": "string",
"identityIds": ["string"],
"principalId": "string",
"tenantId": "string",
})
const computeClusterResource = new azure.machinelearning.ComputeCluster("computeClusterResource", {
machineLearningWorkspaceId: "string",
vmSize: "string",
vmPriority: "string",
scaleSettings: {
maxNodeCount: 0,
minNodeCount: 0,
scaleDownNodesAfterIdleDuration: "string",
},
nodePublicIpEnabled: false,
name: "string",
description: "string",
location: "string",
ssh: {
adminUsername: "string",
adminPassword: "string",
keyValue: "string",
},
sshPublicAccessEnabled: false,
subnetResourceId: "string",
tags: {
string: "string",
},
localAuthEnabled: false,
identity: {
type: "string",
identityIds: ["string"],
principalId: "string",
tenantId: "string",
},
});
type: azure:machinelearning:ComputeCluster
properties:
description: string
identity:
identityIds:
- string
principalId: string
tenantId: string
type: string
localAuthEnabled: false
location: string
machineLearningWorkspaceId: string
name: string
nodePublicIpEnabled: false
scaleSettings:
maxNodeCount: 0
minNodeCount: 0
scaleDownNodesAfterIdleDuration: string
ssh:
adminPassword: string
adminUsername: string
keyValue: string
sshPublicAccessEnabled: false
subnetResourceId: string
tags:
string: string
vmPriority: string
vmSize: string
ComputeCluster 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 ComputeCluster 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 Cluster to be created.
- Scale
Settings ComputeCluster Scale Settings - A
scale_settings
block as defined below. Changing this forces a new Machine Learning Compute Cluster to be created. - Vm
Priority string - The priority of the VM. Changing this forces a new Machine Learning Compute Cluster to be created. Accepted values are
Dedicated
andLowPriority
. - Vm
Size string - The size of the VM. Changing this forces a new Machine Learning Compute Cluster to be created.
- Description string
- The description of the Machine Learning compute. Changing this forces a new Machine Learning Compute Cluster to be created.
- Identity
Compute
Cluster Identity - An
identity
block as defined below. - Local
Auth boolEnabled - Whether local authentication methods is enabled. Defaults to
true
. Changing this forces a new Machine Learning Compute Cluster to be created. - Location string
- The Azure Region where the Machine Learning Compute Cluster should exist. Changing this forces a new Machine Learning Compute Cluster to be created.
- Name string
- The name which should be used for this Machine Learning Compute Cluster. Changing this forces a new Machine Learning Compute Cluster to be created.
- Node
Public boolIp Enabled - Whether the compute cluster 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
Cluster Ssh - Credentials for an administrator user account that will be created on each compute node. A
ssh
block as defined below. Changing this forces a new Machine Learning Compute Cluster to be created. - Ssh
Public boolAccess Enabled - A boolean value indicating whether enable the public SSH port. Defaults to
false
. Changing this forces a new Machine Learning Compute Cluster to be created. - Subnet
Resource stringId - The ID of the Subnet that the Compute Cluster should reside in. Changing this forces a new Machine Learning Compute Cluster to be created.
- Dictionary<string, string>
- A mapping of tags which should be assigned to the Machine Learning Compute Cluster. Changing this forces a new Machine Learning Compute Cluster to be created.
- Machine
Learning stringWorkspace Id - The ID of the Machine Learning Workspace. Changing this forces a new Machine Learning Compute Cluster to be created.
- Scale
Settings ComputeCluster Scale Settings Args - A
scale_settings
block as defined below. Changing this forces a new Machine Learning Compute Cluster to be created. - Vm
Priority string - The priority of the VM. Changing this forces a new Machine Learning Compute Cluster to be created. Accepted values are
Dedicated
andLowPriority
. - Vm
Size string - The size of the VM. Changing this forces a new Machine Learning Compute Cluster to be created.
- Description string
- The description of the Machine Learning compute. Changing this forces a new Machine Learning Compute Cluster to be created.
- Identity
Compute
Cluster Identity Args - An
identity
block as defined below. - Local
Auth boolEnabled - Whether local authentication methods is enabled. Defaults to
true
. Changing this forces a new Machine Learning Compute Cluster to be created. - Location string
- The Azure Region where the Machine Learning Compute Cluster should exist. Changing this forces a new Machine Learning Compute Cluster to be created.
- Name string
- The name which should be used for this Machine Learning Compute Cluster. Changing this forces a new Machine Learning Compute Cluster to be created.
- Node
Public boolIp Enabled - Whether the compute cluster 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
Cluster Ssh Args - Credentials for an administrator user account that will be created on each compute node. A
ssh
block as defined below. Changing this forces a new Machine Learning Compute Cluster to be created. - Ssh
Public boolAccess Enabled - A boolean value indicating whether enable the public SSH port. Defaults to
false
. Changing this forces a new Machine Learning Compute Cluster to be created. - Subnet
Resource stringId - The ID of the Subnet that the Compute Cluster should reside in. Changing this forces a new Machine Learning Compute Cluster to be created.
- map[string]string
- A mapping of tags which should be assigned to the Machine Learning Compute Cluster. Changing this forces a new Machine Learning Compute Cluster to be created.
- machine
Learning StringWorkspace Id - The ID of the Machine Learning Workspace. Changing this forces a new Machine Learning Compute Cluster to be created.
- scale
Settings ComputeCluster Scale Settings - A
scale_settings
block as defined below. Changing this forces a new Machine Learning Compute Cluster to be created. - vm
Priority String - The priority of the VM. Changing this forces a new Machine Learning Compute Cluster to be created. Accepted values are
Dedicated
andLowPriority
. - vm
Size String - The size of the VM. Changing this forces a new Machine Learning Compute Cluster to be created.
- description String
- The description of the Machine Learning compute. Changing this forces a new Machine Learning Compute Cluster to be created.
- identity
Compute
Cluster Identity - An
identity
block as defined below. - local
Auth BooleanEnabled - Whether local authentication methods is enabled. Defaults to
true
. Changing this forces a new Machine Learning Compute Cluster to be created. - location String
- The Azure Region where the Machine Learning Compute Cluster should exist. Changing this forces a new Machine Learning Compute Cluster to be created.
- name String
- The name which should be used for this Machine Learning Compute Cluster. Changing this forces a new Machine Learning Compute Cluster to be created.
- node
Public BooleanIp Enabled - Whether the compute cluster 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
Cluster Ssh - Credentials for an administrator user account that will be created on each compute node. A
ssh
block as defined below. Changing this forces a new Machine Learning Compute Cluster to be created. - ssh
Public BooleanAccess Enabled - A boolean value indicating whether enable the public SSH port. Defaults to
false
. Changing this forces a new Machine Learning Compute Cluster to be created. - subnet
Resource StringId - The ID of the Subnet that the Compute Cluster should reside in. Changing this forces a new Machine Learning Compute Cluster to be created.
- Map<String,String>
- A mapping of tags which should be assigned to the Machine Learning Compute Cluster. Changing this forces a new Machine Learning Compute Cluster to be created.
- machine
Learning stringWorkspace Id - The ID of the Machine Learning Workspace. Changing this forces a new Machine Learning Compute Cluster to be created.
- scale
Settings ComputeCluster Scale Settings - A
scale_settings
block as defined below. Changing this forces a new Machine Learning Compute Cluster to be created. - vm
Priority string - The priority of the VM. Changing this forces a new Machine Learning Compute Cluster to be created. Accepted values are
Dedicated
andLowPriority
. - vm
Size string - The size of the VM. Changing this forces a new Machine Learning Compute Cluster to be created.
- description string
- The description of the Machine Learning compute. Changing this forces a new Machine Learning Compute Cluster to be created.
- identity
Compute
Cluster Identity - An
identity
block as defined below. - local
Auth booleanEnabled - Whether local authentication methods is enabled. Defaults to
true
. Changing this forces a new Machine Learning Compute Cluster to be created. - location string
- The Azure Region where the Machine Learning Compute Cluster should exist. Changing this forces a new Machine Learning Compute Cluster to be created.
- name string
- The name which should be used for this Machine Learning Compute Cluster. Changing this forces a new Machine Learning Compute Cluster to be created.
- node
Public booleanIp Enabled - Whether the compute cluster 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
Cluster Ssh - Credentials for an administrator user account that will be created on each compute node. A
ssh
block as defined below. Changing this forces a new Machine Learning Compute Cluster to be created. - ssh
Public booleanAccess Enabled - A boolean value indicating whether enable the public SSH port. Defaults to
false
. Changing this forces a new Machine Learning Compute Cluster to be created. - subnet
Resource stringId - The ID of the Subnet that the Compute Cluster should reside in. Changing this forces a new Machine Learning Compute Cluster to be created.
- {[key: string]: string}
- A mapping of tags which should be assigned to the Machine Learning Compute Cluster. Changing this forces a new Machine Learning Compute Cluster to be created.
- machine_
learning_ strworkspace_ id - The ID of the Machine Learning Workspace. Changing this forces a new Machine Learning Compute Cluster to be created.
- scale_
settings ComputeCluster Scale Settings Args - A
scale_settings
block as defined below. Changing this forces a new Machine Learning Compute Cluster to be created. - vm_
priority str - The priority of the VM. Changing this forces a new Machine Learning Compute Cluster to be created. Accepted values are
Dedicated
andLowPriority
. - vm_
size str - The size of the VM. Changing this forces a new Machine Learning Compute Cluster to be created.
- description str
- The description of the Machine Learning compute. Changing this forces a new Machine Learning Compute Cluster to be created.
- identity
Compute
Cluster Identity Args - An
identity
block as defined below. - local_
auth_ boolenabled - Whether local authentication methods is enabled. Defaults to
true
. Changing this forces a new Machine Learning Compute Cluster to be created. - location str
- The Azure Region where the Machine Learning Compute Cluster should exist. Changing this forces a new Machine Learning Compute Cluster to be created.
- name str
- The name which should be used for this Machine Learning Compute Cluster. Changing this forces a new Machine Learning Compute Cluster to be created.
- node_
public_ boolip_ enabled - Whether the compute cluster 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
Cluster Ssh Args - Credentials for an administrator user account that will be created on each compute node. A
ssh
block as defined below. Changing this forces a new Machine Learning Compute Cluster to be created. - ssh_
public_ boolaccess_ enabled - A boolean value indicating whether enable the public SSH port. Defaults to
false
. Changing this forces a new Machine Learning Compute Cluster to be created. - subnet_
resource_ strid - The ID of the Subnet that the Compute Cluster should reside in. Changing this forces a new Machine Learning Compute Cluster to be created.
- Mapping[str, str]
- A mapping of tags which should be assigned to the Machine Learning Compute Cluster. Changing this forces a new Machine Learning Compute Cluster to be created.
- machine
Learning StringWorkspace Id - The ID of the Machine Learning Workspace. Changing this forces a new Machine Learning Compute Cluster to be created.
- scale
Settings Property Map - A
scale_settings
block as defined below. Changing this forces a new Machine Learning Compute Cluster to be created. - vm
Priority String - The priority of the VM. Changing this forces a new Machine Learning Compute Cluster to be created. Accepted values are
Dedicated
andLowPriority
. - vm
Size String - The size of the VM. Changing this forces a new Machine Learning Compute Cluster to be created.
- description String
- The description of the Machine Learning compute. Changing this forces a new Machine Learning Compute Cluster to be created.
- identity Property Map
- An
identity
block as defined below. - local
Auth BooleanEnabled - Whether local authentication methods is enabled. Defaults to
true
. Changing this forces a new Machine Learning Compute Cluster to be created. - location String
- The Azure Region where the Machine Learning Compute Cluster should exist. Changing this forces a new Machine Learning Compute Cluster to be created.
- name String
- The name which should be used for this Machine Learning Compute Cluster. Changing this forces a new Machine Learning Compute Cluster to be created.
- node
Public BooleanIp Enabled - Whether the compute cluster 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
- Credentials for an administrator user account that will be created on each compute node. A
ssh
block as defined below. Changing this forces a new Machine Learning Compute Cluster to be created. - ssh
Public BooleanAccess Enabled - A boolean value indicating whether enable the public SSH port. Defaults to
false
. Changing this forces a new Machine Learning Compute Cluster to be created. - subnet
Resource StringId - The ID of the Subnet that the Compute Cluster should reside in. Changing this forces a new Machine Learning Compute Cluster to be created.
- Map<String>
- A mapping of tags which should be assigned to the Machine Learning Compute Cluster. Changing this forces a new Machine Learning Compute Cluster to be created.
Outputs
All input properties are implicitly available as output properties. Additionally, the ComputeCluster 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 ComputeCluster Resource
Get an existing ComputeCluster 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?: ComputeClusterState, opts?: CustomResourceOptions): ComputeCluster
@staticmethod
def get(resource_name: str,
id: str,
opts: Optional[ResourceOptions] = None,
description: Optional[str] = None,
identity: Optional[ComputeClusterIdentityArgs] = 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,
scale_settings: Optional[ComputeClusterScaleSettingsArgs] = None,
ssh: Optional[ComputeClusterSshArgs] = None,
ssh_public_access_enabled: Optional[bool] = None,
subnet_resource_id: Optional[str] = None,
tags: Optional[Mapping[str, str]] = None,
vm_priority: Optional[str] = None,
vm_size: Optional[str] = None) -> ComputeCluster
func GetComputeCluster(ctx *Context, name string, id IDInput, state *ComputeClusterState, opts ...ResourceOption) (*ComputeCluster, error)
public static ComputeCluster Get(string name, Input<string> id, ComputeClusterState? state, CustomResourceOptions? opts = null)
public static ComputeCluster get(String name, Output<String> id, ComputeClusterState 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.
- Description string
- The description of the Machine Learning compute. Changing this forces a new Machine Learning Compute Cluster to be created.
- Identity
Compute
Cluster Identity - An
identity
block as defined below. - Local
Auth boolEnabled - Whether local authentication methods is enabled. Defaults to
true
. Changing this forces a new Machine Learning Compute Cluster to be created. - Location string
- The Azure Region where the Machine Learning Compute Cluster should exist. Changing this forces a new Machine Learning Compute Cluster to be created.
- Machine
Learning stringWorkspace Id - The ID of the Machine Learning Workspace. Changing this forces a new Machine Learning Compute Cluster to be created.
- Name string
- The name which should be used for this Machine Learning Compute Cluster. Changing this forces a new Machine Learning Compute Cluster to be created.
- Node
Public boolIp Enabled - Whether the compute cluster 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. - Scale
Settings ComputeCluster Scale Settings - A
scale_settings
block as defined below. Changing this forces a new Machine Learning Compute Cluster to be created. - Ssh
Compute
Cluster Ssh - Credentials for an administrator user account that will be created on each compute node. A
ssh
block as defined below. Changing this forces a new Machine Learning Compute Cluster to be created. - Ssh
Public boolAccess Enabled - A boolean value indicating whether enable the public SSH port. Defaults to
false
. Changing this forces a new Machine Learning Compute Cluster to be created. - Subnet
Resource stringId - The ID of the Subnet that the Compute Cluster should reside in. Changing this forces a new Machine Learning Compute Cluster to be created.
- Dictionary<string, string>
- A mapping of tags which should be assigned to the Machine Learning Compute Cluster. Changing this forces a new Machine Learning Compute Cluster to be created.
- Vm
Priority string - The priority of the VM. Changing this forces a new Machine Learning Compute Cluster to be created. Accepted values are
Dedicated
andLowPriority
. - Vm
Size string - The size of the VM. Changing this forces a new Machine Learning Compute Cluster to be created.
- Description string
- The description of the Machine Learning compute. Changing this forces a new Machine Learning Compute Cluster to be created.
- Identity
Compute
Cluster Identity Args - An
identity
block as defined below. - Local
Auth boolEnabled - Whether local authentication methods is enabled. Defaults to
true
. Changing this forces a new Machine Learning Compute Cluster to be created. - Location string
- The Azure Region where the Machine Learning Compute Cluster should exist. Changing this forces a new Machine Learning Compute Cluster to be created.
- Machine
Learning stringWorkspace Id - The ID of the Machine Learning Workspace. Changing this forces a new Machine Learning Compute Cluster to be created.
- Name string
- The name which should be used for this Machine Learning Compute Cluster. Changing this forces a new Machine Learning Compute Cluster to be created.
- Node
Public boolIp Enabled - Whether the compute cluster 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. - Scale
Settings ComputeCluster Scale Settings Args - A
scale_settings
block as defined below. Changing this forces a new Machine Learning Compute Cluster to be created. - Ssh
Compute
Cluster Ssh Args - Credentials for an administrator user account that will be created on each compute node. A
ssh
block as defined below. Changing this forces a new Machine Learning Compute Cluster to be created. - Ssh
Public boolAccess Enabled - A boolean value indicating whether enable the public SSH port. Defaults to
false
. Changing this forces a new Machine Learning Compute Cluster to be created. - Subnet
Resource stringId - The ID of the Subnet that the Compute Cluster should reside in. Changing this forces a new Machine Learning Compute Cluster to be created.
- map[string]string
- A mapping of tags which should be assigned to the Machine Learning Compute Cluster. Changing this forces a new Machine Learning Compute Cluster to be created.
- Vm
Priority string - The priority of the VM. Changing this forces a new Machine Learning Compute Cluster to be created. Accepted values are
Dedicated
andLowPriority
. - Vm
Size string - The size of the VM. Changing this forces a new Machine Learning Compute Cluster to be created.
- description String
- The description of the Machine Learning compute. Changing this forces a new Machine Learning Compute Cluster to be created.
- identity
Compute
Cluster Identity - An
identity
block as defined below. - local
Auth BooleanEnabled - Whether local authentication methods is enabled. Defaults to
true
. Changing this forces a new Machine Learning Compute Cluster to be created. - location String
- The Azure Region where the Machine Learning Compute Cluster should exist. Changing this forces a new Machine Learning Compute Cluster to be created.
- machine
Learning StringWorkspace Id - The ID of the Machine Learning Workspace. Changing this forces a new Machine Learning Compute Cluster to be created.
- name String
- The name which should be used for this Machine Learning Compute Cluster. Changing this forces a new Machine Learning Compute Cluster to be created.
- node
Public BooleanIp Enabled - Whether the compute cluster 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. - scale
Settings ComputeCluster Scale Settings - A
scale_settings
block as defined below. Changing this forces a new Machine Learning Compute Cluster to be created. - ssh
Compute
Cluster Ssh - Credentials for an administrator user account that will be created on each compute node. A
ssh
block as defined below. Changing this forces a new Machine Learning Compute Cluster to be created. - ssh
Public BooleanAccess Enabled - A boolean value indicating whether enable the public SSH port. Defaults to
false
. Changing this forces a new Machine Learning Compute Cluster to be created. - subnet
Resource StringId - The ID of the Subnet that the Compute Cluster should reside in. Changing this forces a new Machine Learning Compute Cluster to be created.
- Map<String,String>
- A mapping of tags which should be assigned to the Machine Learning Compute Cluster. Changing this forces a new Machine Learning Compute Cluster to be created.
- vm
Priority String - The priority of the VM. Changing this forces a new Machine Learning Compute Cluster to be created. Accepted values are
Dedicated
andLowPriority
. - vm
Size String - The size of the VM. Changing this forces a new Machine Learning Compute Cluster to be created.
- description string
- The description of the Machine Learning compute. Changing this forces a new Machine Learning Compute Cluster to be created.
- identity
Compute
Cluster Identity - An
identity
block as defined below. - local
Auth booleanEnabled - Whether local authentication methods is enabled. Defaults to
true
. Changing this forces a new Machine Learning Compute Cluster to be created. - location string
- The Azure Region where the Machine Learning Compute Cluster should exist. Changing this forces a new Machine Learning Compute Cluster to be created.
- machine
Learning stringWorkspace Id - The ID of the Machine Learning Workspace. Changing this forces a new Machine Learning Compute Cluster to be created.
- name string
- The name which should be used for this Machine Learning Compute Cluster. Changing this forces a new Machine Learning Compute Cluster to be created.
- node
Public booleanIp Enabled - Whether the compute cluster 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. - scale
Settings ComputeCluster Scale Settings - A
scale_settings
block as defined below. Changing this forces a new Machine Learning Compute Cluster to be created. - ssh
Compute
Cluster Ssh - Credentials for an administrator user account that will be created on each compute node. A
ssh
block as defined below. Changing this forces a new Machine Learning Compute Cluster to be created. - ssh
Public booleanAccess Enabled - A boolean value indicating whether enable the public SSH port. Defaults to
false
. Changing this forces a new Machine Learning Compute Cluster to be created. - subnet
Resource stringId - The ID of the Subnet that the Compute Cluster should reside in. Changing this forces a new Machine Learning Compute Cluster to be created.
- {[key: string]: string}
- A mapping of tags which should be assigned to the Machine Learning Compute Cluster. Changing this forces a new Machine Learning Compute Cluster to be created.
- vm
Priority string - The priority of the VM. Changing this forces a new Machine Learning Compute Cluster to be created. Accepted values are
Dedicated
andLowPriority
. - vm
Size string - The size of the VM. Changing this forces a new Machine Learning Compute Cluster to be created.
- description str
- The description of the Machine Learning compute. Changing this forces a new Machine Learning Compute Cluster to be created.
- identity
Compute
Cluster Identity Args - An
identity
block as defined below. - local_
auth_ boolenabled - Whether local authentication methods is enabled. Defaults to
true
. Changing this forces a new Machine Learning Compute Cluster to be created. - location str
- The Azure Region where the Machine Learning Compute Cluster should exist. Changing this forces a new Machine Learning Compute Cluster to be created.
- machine_
learning_ strworkspace_ id - The ID of the Machine Learning Workspace. Changing this forces a new Machine Learning Compute Cluster to be created.
- name str
- The name which should be used for this Machine Learning Compute Cluster. Changing this forces a new Machine Learning Compute Cluster to be created.
- node_
public_ boolip_ enabled - Whether the compute cluster 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. - scale_
settings ComputeCluster Scale Settings Args - A
scale_settings
block as defined below. Changing this forces a new Machine Learning Compute Cluster to be created. - ssh
Compute
Cluster Ssh Args - Credentials for an administrator user account that will be created on each compute node. A
ssh
block as defined below. Changing this forces a new Machine Learning Compute Cluster to be created. - ssh_
public_ boolaccess_ enabled - A boolean value indicating whether enable the public SSH port. Defaults to
false
. Changing this forces a new Machine Learning Compute Cluster to be created. - subnet_
resource_ strid - The ID of the Subnet that the Compute Cluster should reside in. Changing this forces a new Machine Learning Compute Cluster to be created.
- Mapping[str, str]
- A mapping of tags which should be assigned to the Machine Learning Compute Cluster. Changing this forces a new Machine Learning Compute Cluster to be created.
- vm_
priority str - The priority of the VM. Changing this forces a new Machine Learning Compute Cluster to be created. Accepted values are
Dedicated
andLowPriority
. - vm_
size str - The size of the VM. Changing this forces a new Machine Learning Compute Cluster to be created.
- description String
- The description of the Machine Learning compute. Changing this forces a new Machine Learning Compute Cluster to be created.
- identity Property Map
- An
identity
block as defined below. - local
Auth BooleanEnabled - Whether local authentication methods is enabled. Defaults to
true
. Changing this forces a new Machine Learning Compute Cluster to be created. - location String
- The Azure Region where the Machine Learning Compute Cluster should exist. Changing this forces a new Machine Learning Compute Cluster to be created.
- machine
Learning StringWorkspace Id - The ID of the Machine Learning Workspace. Changing this forces a new Machine Learning Compute Cluster to be created.
- name String
- The name which should be used for this Machine Learning Compute Cluster. Changing this forces a new Machine Learning Compute Cluster to be created.
- node
Public BooleanIp Enabled - Whether the compute cluster 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. - scale
Settings Property Map - A
scale_settings
block as defined below. Changing this forces a new Machine Learning Compute Cluster to be created. - ssh Property Map
- Credentials for an administrator user account that will be created on each compute node. A
ssh
block as defined below. Changing this forces a new Machine Learning Compute Cluster to be created. - ssh
Public BooleanAccess Enabled - A boolean value indicating whether enable the public SSH port. Defaults to
false
. Changing this forces a new Machine Learning Compute Cluster to be created. - subnet
Resource StringId - The ID of the Subnet that the Compute Cluster should reside in. Changing this forces a new Machine Learning Compute Cluster to be created.
- Map<String>
- A mapping of tags which should be assigned to the Machine Learning Compute Cluster. Changing this forces a new Machine Learning Compute Cluster to be created.
- vm
Priority String - The priority of the VM. Changing this forces a new Machine Learning Compute Cluster to be created. Accepted values are
Dedicated
andLowPriority
. - vm
Size String - The size of the VM. Changing this forces a new Machine Learning Compute Cluster to be created.
Supporting Types
ComputeClusterIdentity, ComputeClusterIdentityArgs
- Type string
- Specifies the type of Managed Service Identity that should be configured on this Machine Learning Compute Cluster. 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 Cluster. 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 Cluster.
- Tenant
Id string - The Tenant ID for the Service Principal associated with the Managed Service Identity of this Machine Learning Compute Cluster.
- Type string
- Specifies the type of Managed Service Identity that should be configured on this Machine Learning Compute Cluster. 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 Cluster. 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 Cluster.
- Tenant
Id string - The Tenant ID for the Service Principal associated with the Managed Service Identity of this Machine Learning Compute Cluster.
- type String
- Specifies the type of Managed Service Identity that should be configured on this Machine Learning Compute Cluster. 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 Cluster. 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 Cluster.
- tenant
Id String - The Tenant ID for the Service Principal associated with the Managed Service Identity of this Machine Learning Compute Cluster.
- type string
- Specifies the type of Managed Service Identity that should be configured on this Machine Learning Compute Cluster. 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 Cluster. 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 Cluster.
- tenant
Id string - The Tenant ID for the Service Principal associated with the Managed Service Identity of this Machine Learning Compute Cluster.
- type str
- Specifies the type of Managed Service Identity that should be configured on this Machine Learning Compute Cluster. 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 Cluster. 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 Cluster.
- tenant_
id str - The Tenant ID for the Service Principal associated with the Managed Service Identity of this Machine Learning Compute Cluster.
- type String
- Specifies the type of Managed Service Identity that should be configured on this Machine Learning Compute Cluster. 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 Cluster. 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 Cluster.
- tenant
Id String - The Tenant ID for the Service Principal associated with the Managed Service Identity of this Machine Learning Compute Cluster.
ComputeClusterScaleSettings, ComputeClusterScaleSettingsArgs
- Max
Node intCount - Maximum node count. Changing this forces a new Machine Learning Compute Cluster to be created.
- Min
Node intCount - Minimal node count. Changing this forces a new Machine Learning Compute Cluster to be created.
- Scale
Down stringNodes After Idle Duration - Node Idle Time Before Scale Down: defines the time until the compute is shutdown when it has gone into Idle state. Is defined according to W3C XML schema standard for duration. Changing this forces a new Machine Learning Compute Cluster to be created.
- Max
Node intCount - Maximum node count. Changing this forces a new Machine Learning Compute Cluster to be created.
- Min
Node intCount - Minimal node count. Changing this forces a new Machine Learning Compute Cluster to be created.
- Scale
Down stringNodes After Idle Duration - Node Idle Time Before Scale Down: defines the time until the compute is shutdown when it has gone into Idle state. Is defined according to W3C XML schema standard for duration. Changing this forces a new Machine Learning Compute Cluster to be created.
- max
Node IntegerCount - Maximum node count. Changing this forces a new Machine Learning Compute Cluster to be created.
- min
Node IntegerCount - Minimal node count. Changing this forces a new Machine Learning Compute Cluster to be created.
- scale
Down StringNodes After Idle Duration - Node Idle Time Before Scale Down: defines the time until the compute is shutdown when it has gone into Idle state. Is defined according to W3C XML schema standard for duration. Changing this forces a new Machine Learning Compute Cluster to be created.
- max
Node numberCount - Maximum node count. Changing this forces a new Machine Learning Compute Cluster to be created.
- min
Node numberCount - Minimal node count. Changing this forces a new Machine Learning Compute Cluster to be created.
- scale
Down stringNodes After Idle Duration - Node Idle Time Before Scale Down: defines the time until the compute is shutdown when it has gone into Idle state. Is defined according to W3C XML schema standard for duration. Changing this forces a new Machine Learning Compute Cluster to be created.
- max_
node_ intcount - Maximum node count. Changing this forces a new Machine Learning Compute Cluster to be created.
- min_
node_ intcount - Minimal node count. Changing this forces a new Machine Learning Compute Cluster to be created.
- scale_
down_ strnodes_ after_ idle_ duration - Node Idle Time Before Scale Down: defines the time until the compute is shutdown when it has gone into Idle state. Is defined according to W3C XML schema standard for duration. Changing this forces a new Machine Learning Compute Cluster to be created.
- max
Node NumberCount - Maximum node count. Changing this forces a new Machine Learning Compute Cluster to be created.
- min
Node NumberCount - Minimal node count. Changing this forces a new Machine Learning Compute Cluster to be created.
- scale
Down StringNodes After Idle Duration - Node Idle Time Before Scale Down: defines the time until the compute is shutdown when it has gone into Idle state. Is defined according to W3C XML schema standard for duration. Changing this forces a new Machine Learning Compute Cluster to be created.
ComputeClusterSsh, ComputeClusterSshArgs
- Admin
Username string - Name of the administrator user account which can be used to SSH to nodes. Changing this forces a new Machine Learning Compute Cluster to be created.
- Admin
Password string - Password of the administrator user account. Changing this forces a new Machine Learning Compute Cluster to be created.
- Key
Value string SSH public key of the administrator user account. Changing this forces a new Machine Learning Compute Cluster to be created.
NOTE: At least one of
admin_password
andkey_value
shoud be specified.
- Admin
Username string - Name of the administrator user account which can be used to SSH to nodes. Changing this forces a new Machine Learning Compute Cluster to be created.
- Admin
Password string - Password of the administrator user account. Changing this forces a new Machine Learning Compute Cluster to be created.
- Key
Value string SSH public key of the administrator user account. Changing this forces a new Machine Learning Compute Cluster to be created.
NOTE: At least one of
admin_password
andkey_value
shoud be specified.
- admin
Username String - Name of the administrator user account which can be used to SSH to nodes. Changing this forces a new Machine Learning Compute Cluster to be created.
- admin
Password String - Password of the administrator user account. Changing this forces a new Machine Learning Compute Cluster to be created.
- key
Value String SSH public key of the administrator user account. Changing this forces a new Machine Learning Compute Cluster to be created.
NOTE: At least one of
admin_password
andkey_value
shoud be specified.
- admin
Username string - Name of the administrator user account which can be used to SSH to nodes. Changing this forces a new Machine Learning Compute Cluster to be created.
- admin
Password string - Password of the administrator user account. Changing this forces a new Machine Learning Compute Cluster to be created.
- key
Value string SSH public key of the administrator user account. Changing this forces a new Machine Learning Compute Cluster to be created.
NOTE: At least one of
admin_password
andkey_value
shoud be specified.
- admin_
username str - Name of the administrator user account which can be used to SSH to nodes. Changing this forces a new Machine Learning Compute Cluster to be created.
- admin_
password str - Password of the administrator user account. Changing this forces a new Machine Learning Compute Cluster to be created.
- key_
value str SSH public key of the administrator user account. Changing this forces a new Machine Learning Compute Cluster to be created.
NOTE: At least one of
admin_password
andkey_value
shoud be specified.
- admin
Username String - Name of the administrator user account which can be used to SSH to nodes. Changing this forces a new Machine Learning Compute Cluster to be created.
- admin
Password String - Password of the administrator user account. Changing this forces a new Machine Learning Compute Cluster to be created.
- key
Value String SSH public key of the administrator user account. Changing this forces a new Machine Learning Compute Cluster to be created.
NOTE: At least one of
admin_password
andkey_value
shoud be specified.
Import
Machine Learning Compute Clusters can be imported using the resource id
, e.g.
$ pulumi import azure:machinelearning/computeCluster:ComputeCluster example /subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/resGroup1/providers/Microsoft.MachineLearningServices/workspaces/workspace1/computes/cluster1
To learn more about importing existing cloud resources, see Importing resources.
Package Details
- Repository
- Azure Classic pulumi/pulumi-azure
- License
- Apache-2.0
- Notes
- This Pulumi package is based on the
azurerm
Terraform Provider.