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Build cloud applications and infrastructure by combining the safety and reliability of infrastructure as code with the power of the Kotlin programming language.
@file:Suppress("NAME_SHADOWING", "DEPRECATION")
package com.pulumi.azure.machinelearning.kotlin
import com.pulumi.azure.machinelearning.kotlin.outputs.InferenceClusterIdentity
import com.pulumi.azure.machinelearning.kotlin.outputs.InferenceClusterSsl
import com.pulumi.core.Output
import com.pulumi.kotlin.KotlinCustomResource
import com.pulumi.kotlin.PulumiTagMarker
import com.pulumi.kotlin.ResourceMapper
import com.pulumi.kotlin.options.CustomResourceOptions
import com.pulumi.kotlin.options.CustomResourceOptionsBuilder
import com.pulumi.resources.Resource
import kotlin.Boolean
import kotlin.String
import kotlin.Suppress
import kotlin.Unit
import kotlin.collections.Map
import com.pulumi.azure.machinelearning.kotlin.outputs.InferenceClusterIdentity.Companion.toKotlin as inferenceClusterIdentityToKotlin
import com.pulumi.azure.machinelearning.kotlin.outputs.InferenceClusterSsl.Companion.toKotlin as inferenceClusterSslToKotlin
/**
* Builder for [InferenceCluster].
*/
@PulumiTagMarker
public class InferenceClusterResourceBuilder internal constructor() {
public var name: String? = null
public var args: InferenceClusterArgs = InferenceClusterArgs()
public var opts: CustomResourceOptions = CustomResourceOptions()
/**
* @param name The _unique_ name of the resulting resource.
*/
public fun name(`value`: String) {
this.name = value
}
/**
* @param block The arguments to use to populate this resource's properties.
*/
public suspend fun args(block: suspend InferenceClusterArgsBuilder.() -> Unit) {
val builder = InferenceClusterArgsBuilder()
block(builder)
this.args = builder.build()
}
/**
* @param block A bag of options that control this resource's behavior.
*/
public suspend fun opts(block: suspend CustomResourceOptionsBuilder.() -> Unit) {
this.opts = com.pulumi.kotlin.options.CustomResourceOptions.opts(block)
}
internal fun build(): InferenceCluster {
val builtJavaResource =
com.pulumi.azure.machinelearning.InferenceCluster(
this.name,
this.args.toJava(),
this.opts.toJava(),
)
return InferenceCluster(builtJavaResource)
}
}
/**
* Manages a Machine Learning Inference Cluster.
* > **NOTE:** The Machine Learning Inference Cluster resource is used to attach an existing AKS cluster to the Machine Learning Workspace, it doesn't create the AKS cluster itself. Therefore it can only be created and deleted, not updated. Any change to the configuration will recreate the resource.
* ## Example Usage
*
* ```typescript
* 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 exampleKubernetesCluster = new azure.containerservice.KubernetesCluster("example", {
* name: "example-aks",
* location: example.location,
* resourceGroupName: example.name,
* dnsPrefixPrivateCluster: "prefix",
* defaultNodePool: {
* name: "default",
* nodeCount: 3,
* vmSize: "Standard_D3_v2",
* vnetSubnetId: exampleSubnet.id,
* },
* identity: {
* type: "SystemAssigned",
* },
* });
* const exampleInferenceCluster = new azure.machinelearning.InferenceCluster("example", {
* name: "example",
* location: example.location,
* clusterPurpose: "FastProd",
* kubernetesClusterId: exampleKubernetesCluster.id,
* description: "This is an example cluster used with Terraform",
* machineLearningWorkspaceId: exampleWorkspace.id,
* tags: {
* stage: "example",
* },
* });
* ```
* ```python
* 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=azure.machinelearning.WorkspaceIdentityArgs(
* 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"])
* example_kubernetes_cluster = azure.containerservice.KubernetesCluster("example",
* name="example-aks",
* location=example.location,
* resource_group_name=example.name,
* dns_prefix_private_cluster="prefix",
* default_node_pool=azure.containerservice.KubernetesClusterDefaultNodePoolArgs(
* name="default",
* node_count=3,
* vm_size="Standard_D3_v2",
* vnet_subnet_id=example_subnet.id,
* ),
* identity=azure.containerservice.KubernetesClusterIdentityArgs(
* type="SystemAssigned",
* ))
* example_inference_cluster = azure.machinelearning.InferenceCluster("example",
* name="example",
* location=example.location,
* cluster_purpose="FastProd",
* kubernetes_cluster_id=example_kubernetes_cluster.id,
* description="This is an example cluster used with Terraform",
* machine_learning_workspace_id=example_workspace.id,
* tags={
* "stage": "example",
* })
* ```
* ```csharp
* 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 exampleKubernetesCluster = new Azure.ContainerService.KubernetesCluster("example", new()
* {
* Name = "example-aks",
* Location = example.Location,
* ResourceGroupName = example.Name,
* DnsPrefixPrivateCluster = "prefix",
* DefaultNodePool = new Azure.ContainerService.Inputs.KubernetesClusterDefaultNodePoolArgs
* {
* Name = "default",
* NodeCount = 3,
* VmSize = "Standard_D3_v2",
* VnetSubnetId = exampleSubnet.Id,
* },
* Identity = new Azure.ContainerService.Inputs.KubernetesClusterIdentityArgs
* {
* Type = "SystemAssigned",
* },
* });
* var exampleInferenceCluster = new Azure.MachineLearning.InferenceCluster("example", new()
* {
* Name = "example",
* Location = example.Location,
* ClusterPurpose = "FastProd",
* KubernetesClusterId = exampleKubernetesCluster.Id,
* Description = "This is an example cluster used with Terraform",
* MachineLearningWorkspaceId = exampleWorkspace.Id,
* Tags =
* {
* { "stage", "example" },
* },
* });
* });
* ```
* ```go
* package main
* import (
* "github.com/pulumi/pulumi-azure/sdk/v5/go/azure/appinsights"
* "github.com/pulumi/pulumi-azure/sdk/v5/go/azure/containerservice"
* "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"
* )
* 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
* }
* exampleKubernetesCluster, err := containerservice.NewKubernetesCluster(ctx, "example", &containerservice.KubernetesClusterArgs{
* Name: pulumi.String("example-aks"),
* Location: example.Location,
* ResourceGroupName: example.Name,
* DnsPrefixPrivateCluster: pulumi.String("prefix"),
* DefaultNodePool: &containerservice.KubernetesClusterDefaultNodePoolArgs{
* Name: pulumi.String("default"),
* NodeCount: pulumi.Int(3),
* VmSize: pulumi.String("Standard_D3_v2"),
* VnetSubnetId: exampleSubnet.ID(),
* },
* Identity: &containerservice.KubernetesClusterIdentityArgs{
* Type: pulumi.String("SystemAssigned"),
* },
* })
* if err != nil {
* return err
* }
* _, err = machinelearning.NewInferenceCluster(ctx, "example", &machinelearning.InferenceClusterArgs{
* Name: pulumi.String("example"),
* Location: example.Location,
* ClusterPurpose: pulumi.String("FastProd"),
* KubernetesClusterId: exampleKubernetesCluster.ID(),
* Description: pulumi.String("This is an example cluster used with Terraform"),
* MachineLearningWorkspaceId: exampleWorkspace.ID(),
* Tags: pulumi.StringMap{
* "stage": pulumi.String("example"),
* },
* })
* if err != nil {
* return err
* }
* return nil
* })
* }
* ```
* ```java
* 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.containerservice.KubernetesCluster;
* import com.pulumi.azure.containerservice.KubernetesClusterArgs;
* import com.pulumi.azure.containerservice.inputs.KubernetesClusterDefaultNodePoolArgs;
* import com.pulumi.azure.containerservice.inputs.KubernetesClusterIdentityArgs;
* import com.pulumi.azure.machinelearning.InferenceCluster;
* import com.pulumi.azure.machinelearning.InferenceClusterArgs;
* 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 exampleKubernetesCluster = new KubernetesCluster("exampleKubernetesCluster", KubernetesClusterArgs.builder()
* .name("example-aks")
* .location(example.location())
* .resourceGroupName(example.name())
* .dnsPrefixPrivateCluster("prefix")
* .defaultNodePool(KubernetesClusterDefaultNodePoolArgs.builder()
* .name("default")
* .nodeCount(3)
* .vmSize("Standard_D3_v2")
* .vnetSubnetId(exampleSubnet.id())
* .build())
* .identity(KubernetesClusterIdentityArgs.builder()
* .type("SystemAssigned")
* .build())
* .build());
* var exampleInferenceCluster = new InferenceCluster("exampleInferenceCluster", InferenceClusterArgs.builder()
* .name("example")
* .location(example.location())
* .clusterPurpose("FastProd")
* .kubernetesClusterId(exampleKubernetesCluster.id())
* .description("This is an example cluster used with Terraform")
* .machineLearningWorkspaceId(exampleWorkspace.id())
* .tags(Map.of("stage", "example"))
* .build());
* }
* }
* ```
* ```yaml
* 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
* exampleKubernetesCluster:
* type: azure:containerservice:KubernetesCluster
* name: example
* properties:
* name: example-aks
* location: ${example.location}
* resourceGroupName: ${example.name}
* dnsPrefixPrivateCluster: prefix
* defaultNodePool:
* name: default
* nodeCount: 3
* vmSize: Standard_D3_v2
* vnetSubnetId: ${exampleSubnet.id}
* identity:
* type: SystemAssigned
* exampleInferenceCluster:
* type: azure:machinelearning:InferenceCluster
* name: example
* properties:
* name: example
* location: ${example.location}
* clusterPurpose: FastProd
* kubernetesClusterId: ${exampleKubernetesCluster.id}
* description: This is an example cluster used with Terraform
* machineLearningWorkspaceId: ${exampleWorkspace.id}
* tags:
* stage: example
* variables:
* current:
* fn::invoke:
* Function: azure:core:getClientConfig
* Arguments: {}
* ```
*
* ## Import
* Machine Learning Inference Clusters can be imported using the `resource id`, e.g.
* ```sh
* $ pulumi import azure:machinelearning/inferenceCluster:InferenceCluster example /subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/resGroup1/providers/Microsoft.MachineLearningServices/workspaces/workspace1/computes/cluster1
* ```
*/
public class InferenceCluster internal constructor(
override val javaResource: com.pulumi.azure.machinelearning.InferenceCluster,
) : KotlinCustomResource(javaResource, InferenceClusterMapper) {
/**
* The purpose of the Inference Cluster. Options are `DevTest`, `DenseProd` and `FastProd`. If used for Development or Testing, use `DevTest` here. Default purpose is `FastProd`, which is recommended for production workloads. Changing this forces a new Machine Learning Inference Cluster to be created.
* > **NOTE:** When creating or attaching a cluster, if the cluster will be used for production (`cluster_purpose = "FastProd"`), then it must contain at least 12 virtual CPUs. The number of virtual CPUs can be calculated by multiplying the number of nodes in the cluster by the number of cores provided by the VM size selected. For example, if you use a VM size of "Standard_D3_v2", which has 4 virtual cores, then you should select 3 or greater as the number of nodes.
*/
public val clusterPurpose: Output?
get() = javaResource.clusterPurpose().applyValue({ args0 ->
args0.map({ args0 ->
args0
}).orElse(null)
})
/**
* The description of the Machine Learning Inference Cluster. Changing this forces a new Machine Learning Inference Cluster to be created.
*/
public val description: Output?
get() = javaResource.description().applyValue({ args0 ->
args0.map({ args0 ->
args0
}).orElse(null)
})
/**
* An `identity` block as defined below. Changing this forces a new Machine Learning Inference Cluster to be created.
*/
public val identity: Output?
get() = javaResource.identity().applyValue({ args0 ->
args0.map({ args0 ->
args0.let({ args0 ->
inferenceClusterIdentityToKotlin(args0)
})
}).orElse(null)
})
/**
* The ID of the Kubernetes Cluster. Changing this forces a new Machine Learning Inference Cluster to be created.
*/
public val kubernetesClusterId: Output
get() = javaResource.kubernetesClusterId().applyValue({ args0 -> args0 })
/**
* The Azure Region where the Machine Learning Inference Cluster should exist. Changing this forces a new Machine Learning Inference Cluster to be created.
*/
public val location: Output
get() = javaResource.location().applyValue({ args0 -> args0 })
/**
* The ID of the Machine Learning Workspace. Changing this forces a new Machine Learning Inference Cluster to be created.
*/
public val machineLearningWorkspaceId: Output
get() = javaResource.machineLearningWorkspaceId().applyValue({ args0 -> args0 })
/**
* The name which should be used for this Machine Learning Inference Cluster. Changing this forces a new Machine Learning Inference Cluster to be created.
*/
public val name: Output
get() = javaResource.name().applyValue({ args0 -> args0 })
/**
* A `ssl` block as defined below. Changing this forces a new Machine Learning Inference Cluster to be created.
*/
public val ssl: Output?
get() = javaResource.ssl().applyValue({ args0 ->
args0.map({ args0 ->
args0.let({ args0 ->
inferenceClusterSslToKotlin(args0)
})
}).orElse(null)
})
/**
* A mapping of tags which should be assigned to the Machine Learning Inference Cluster. Changing this forces a new Machine Learning Inference Cluster to be created.
*/
public val tags: Output>?
get() = javaResource.tags().applyValue({ args0 ->
args0.map({ args0 ->
args0.map({ args0 ->
args0.key.to(args0.value)
}).toMap()
}).orElse(null)
})
}
public object InferenceClusterMapper : ResourceMapper {
override fun supportsMappingOfType(javaResource: Resource): Boolean =
com.pulumi.azure.machinelearning.InferenceCluster::class == javaResource::class
override fun map(javaResource: Resource): InferenceCluster = InferenceCluster(
javaResource as
com.pulumi.azure.machinelearning.InferenceCluster,
)
}
/**
* @see [InferenceCluster].
* @param name The _unique_ name of the resulting resource.
* @param block Builder for [InferenceCluster].
*/
public suspend fun inferenceCluster(
name: String,
block: suspend InferenceClusterResourceBuilder.() -> Unit,
): InferenceCluster {
val builder = InferenceClusterResourceBuilder()
builder.name(name)
block(builder)
return builder.build()
}
/**
* @see [InferenceCluster].
* @param name The _unique_ name of the resulting resource.
*/
public fun inferenceCluster(name: String): InferenceCluster {
val builder = InferenceClusterResourceBuilder()
builder.name(name)
return builder.build()
}
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