Compute Cluster
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
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 exampleResourceGroup = new ResourceGroup("exampleResourceGroup", ResourceGroupArgs.builder()
.location("west europe")
.tags(Map.of("stage", "example"))
.build());
var exampleInsights = new Insights("exampleInsights", InsightsArgs.builder()
.location(exampleResourceGroup.location())
.resourceGroupName(exampleResourceGroup.name())
.applicationType("web")
.build());
var exampleKeyVault = new KeyVault("exampleKeyVault", KeyVaultArgs.builder()
.location(exampleResourceGroup.location())
.resourceGroupName(exampleResourceGroup.name())
.tenantId(current.applyValue(getClientConfigResult -> getClientConfigResult.tenantId()))
.skuName("standard")
.purgeProtectionEnabled(true)
.build());
var exampleAccount = new Account("exampleAccount", AccountArgs.builder()
.location(exampleResourceGroup.location())
.resourceGroupName(exampleResourceGroup.name())
.accountTier("Standard")
.accountReplicationType("LRS")
.build());
var exampleWorkspace = new Workspace("exampleWorkspace", WorkspaceArgs.builder()
.location(exampleResourceGroup.location())
.resourceGroupName(exampleResourceGroup.name())
.applicationInsightsId(exampleInsights.id())
.keyVaultId(exampleKeyVault.id())
.storageAccountId(exampleAccount.id())
.identity(WorkspaceIdentityArgs.builder()
.type("SystemAssigned")
.build())
.build());
var exampleVirtualNetwork = new VirtualNetwork("exampleVirtualNetwork", VirtualNetworkArgs.builder()
.addressSpaces("10.1.0.0/16")
.location(exampleResourceGroup.location())
.resourceGroupName(exampleResourceGroup.name())
.build());
var exampleSubnet = new Subnet("exampleSubnet", SubnetArgs.builder()
.resourceGroupName(exampleResourceGroup.name())
.virtualNetworkName(exampleVirtualNetwork.name())
.addressPrefixes("10.1.0.0/24")
.build());
var test = new ComputeCluster("test", ComputeClusterArgs.builder()
.location(exampleResourceGroup.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());
}
}
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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
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