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This is the latest version of Azure Native. Use the Azure Native v1 docs if using the v1 version of this package.
Azure Native v2.39.0 published on Monday, Apr 29, 2024 by Pulumi
pulumi/pulumi-azure-native

azure-native.machinelearningservices.InferencePool

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This is the latest version of Azure Native. Use the Azure Native v1 docs if using the v1 version of this package.
Azure Native v2.39.0 published on Monday, Apr 29, 2024 by Pulumi
pulumi/pulumi-azure-native

    Azure REST API version: 2023-08-01-preview.

    Other available API versions: 2024-01-01-preview, 2024-04-01-preview.

    Import

    An existing resource can be imported using its type token, name, and identifier, e.g.

    $ pulumi import azure-native:machinelearningservices:InferencePool string /subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/inferencePools/{inferencePoolName}

    Create InferencePool Resource

    Resources are created with functions called constructors. To learn more about declaring and configuring resources, see Resources.

    Constructor syntax

    new InferencePool(name: string, args: InferencePoolArgs, opts?: CustomResourceOptions);
    @overload
def InferencePool(resource_name: str,
                  args: InferencePoolInitArgs,
                  opts: Optional[ResourceOptions] = None)

@overload
def InferencePool(resource_name: str,
                  opts: Optional[ResourceOptions] = None,
                  inference_pool_properties: Optional[InferencePoolArgs] = None,
                  resource_group_name: Optional[str] = None,
                  workspace_name: Optional[str] = None,
                  identity: Optional[ManagedServiceIdentityArgs] = None,
                  inference_pool_name: Optional[str] = None,
                  kind: Optional[str] = None,
                  location: Optional[str] = None,
                  sku: Optional[SkuArgs] = None,
                  tags: Optional[Mapping[str, str]] = None)
    func NewInferencePool(ctx *Context, name string, args InferencePoolArgs, opts ...ResourceOption) (*InferencePool, error)
    public InferencePool(string name, InferencePoolArgs args, CustomResourceOptions? opts = null)
    public InferencePool(String name, InferencePoolArgs args)
public InferencePool(String name, InferencePoolArgs args, CustomResourceOptions options)

    type: azure-native:machinelearningservices:InferencePool
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 InferencePoolArgs
    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 InferencePoolInitArgs
    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 InferencePoolArgs
    The arguments to resource properties.
    opts ResourceOption
    Bag of options to control resource's behavior.
    name string
    The unique name of the resource.
    args InferencePoolArgs
    The arguments to resource properties.
    opts CustomResourceOptions
    Bag of options to control resource's behavior.
    name String
    The unique name of the resource.
    args InferencePoolArgs
    The arguments to resource properties.
    options CustomResourceOptions
    Bag of options to control resource's behavior.

    Example

    The following reference example uses placeholder values for all input properties.

    var inferencePoolResource = new AzureNative.MachineLearningServices.InferencePool("inferencePoolResource", new()
{
    InferencePoolProperties = new AzureNative.MachineLearningServices.Inputs.InferencePoolArgs
    {
        NodeSkuType = "string",
        CodeConfiguration = new AzureNative.MachineLearningServices.Inputs.CodeConfigurationArgs
        {
            ScoringScript = "string",
            CodeId = "string",
        },
        Description = "string",
        EnvironmentConfiguration = new AzureNative.MachineLearningServices.Inputs.PoolEnvironmentConfigurationArgs
        {
            EnvironmentId = "string",
            EnvironmentVariables = 
            {
                { "string", "string" },
            },
            LivenessProbe = new AzureNative.MachineLearningServices.Inputs.ProbeSettingsArgs
            {
                FailureThreshold = 0,
                InitialDelay = "string",
                Period = "string",
                SuccessThreshold = 0,
                Timeout = "string",
            },
            ReadinessProbe = new AzureNative.MachineLearningServices.Inputs.ProbeSettingsArgs
            {
                FailureThreshold = 0,
                InitialDelay = "string",
                Period = "string",
                SuccessThreshold = 0,
                Timeout = "string",
            },
            StartupProbe = new AzureNative.MachineLearningServices.Inputs.ProbeSettingsArgs
            {
                FailureThreshold = 0,
                InitialDelay = "string",
                Period = "string",
                SuccessThreshold = 0,
                Timeout = "string",
            },
        },
        ModelConfiguration = new AzureNative.MachineLearningServices.Inputs.PoolModelConfigurationArgs
        {
            ModelId = "string",
        },
        Properties = 
        {
            { "string", "string" },
        },
        RequestConfiguration = new AzureNative.MachineLearningServices.Inputs.RequestConfigurationArgs
        {
            MaxConcurrentRequestsPerInstance = 0,
            RequestTimeout = "string",
        },
    },
    ResourceGroupName = "string",
    WorkspaceName = "string",
    Identity = new AzureNative.MachineLearningServices.Inputs.ManagedServiceIdentityArgs
    {
        Type = "string",
        UserAssignedIdentities = new[]
        {
            "string",
        },
    },
    InferencePoolName = "string",
    Kind = "string",
    Location = "string",
    Sku = new AzureNative.MachineLearningServices.Inputs.SkuArgs
    {
        Name = "string",
        Capacity = 0,
        Family = "string",
        Size = "string",
        Tier = AzureNative.MachineLearningServices.SkuTier.Free,
    },
    Tags = 
    {
        { "string", "string" },
    },
});

    example, err := machinelearningservices.NewInferencePool(ctx, "inferencePoolResource", &machinelearningservices.InferencePoolArgs{
InferencePoolProperties: &machinelearningservices.InferencePoolTypeArgs{
NodeSkuType: pulumi.String("string"),
CodeConfiguration: &machinelearningservices.CodeConfigurationArgs{
ScoringScript: pulumi.String("string"),
CodeId: pulumi.String("string"),
},
Description: pulumi.String("string"),
EnvironmentConfiguration: &machinelearningservices.PoolEnvironmentConfigurationArgs{
EnvironmentId: pulumi.String("string"),
EnvironmentVariables: pulumi.StringMap{
"string": pulumi.String("string"),
},
LivenessProbe: &machinelearningservices.ProbeSettingsArgs{
FailureThreshold: pulumi.Int(0),
InitialDelay: pulumi.String("string"),
Period: pulumi.String("string"),
SuccessThreshold: pulumi.Int(0),
Timeout: pulumi.String("string"),
},
ReadinessProbe: &machinelearningservices.ProbeSettingsArgs{
FailureThreshold: pulumi.Int(0),
InitialDelay: pulumi.String("string"),
Period: pulumi.String("string"),
SuccessThreshold: pulumi.Int(0),
Timeout: pulumi.String("string"),
},
StartupProbe: &machinelearningservices.ProbeSettingsArgs{
FailureThreshold: pulumi.Int(0),
InitialDelay: pulumi.String("string"),
Period: pulumi.String("string"),
SuccessThreshold: pulumi.Int(0),
Timeout: pulumi.String("string"),
},
},
ModelConfiguration: &machinelearningservices.PoolModelConfigurationArgs{
ModelId: pulumi.String("string"),
},
Properties: pulumi.StringMap{
"string": pulumi.String("string"),
},
RequestConfiguration: &machinelearningservices.RequestConfigurationArgs{
MaxConcurrentRequestsPerInstance: pulumi.Int(0),
RequestTimeout: pulumi.String("string"),
},
},
ResourceGroupName: pulumi.String("string"),
WorkspaceName: pulumi.String("string"),
Identity: &machinelearningservices.ManagedServiceIdentityArgs{
Type: pulumi.String("string"),
UserAssignedIdentities: pulumi.StringArray{
pulumi.String("string"),
},
},
InferencePoolName: pulumi.String("string"),
Kind: pulumi.String("string"),
Location: pulumi.String("string"),
Sku: &machinelearningservices.SkuArgs{
Name: pulumi.String("string"),
Capacity: pulumi.Int(0),
Family: pulumi.String("string"),
Size: pulumi.String("string"),
Tier: machinelearningservices.SkuTierFree,
},
Tags: pulumi.StringMap{
"string": pulumi.String("string"),
},
})

    var inferencePoolResource = new InferencePool("inferencePoolResource", InferencePoolArgs.builder()        
    .inferencePoolProperties(InferencePoolArgs.builder()
        .nodeSkuType("string")
        .codeConfiguration(CodeConfigurationArgs.builder()
            .scoringScript("string")
            .codeId("string")
            .build())
        .description("string")
        .environmentConfiguration(PoolEnvironmentConfigurationArgs.builder()
            .environmentId("string")
            .environmentVariables(Map.of("string", "string"))
            .livenessProbe(ProbeSettingsArgs.builder()
                .failureThreshold(0)
                .initialDelay("string")
                .period("string")
                .successThreshold(0)
                .timeout("string")
                .build())
            .readinessProbe(ProbeSettingsArgs.builder()
                .failureThreshold(0)
                .initialDelay("string")
                .period("string")
                .successThreshold(0)
                .timeout("string")
                .build())
            .startupProbe(ProbeSettingsArgs.builder()
                .failureThreshold(0)
                .initialDelay("string")
                .period("string")
                .successThreshold(0)
                .timeout("string")
                .build())
            .build())
        .modelConfiguration(PoolModelConfigurationArgs.builder()
            .modelId("string")
            .build())
        .properties(Map.of("string", "string"))
        .requestConfiguration(RequestConfigurationArgs.builder()
            .maxConcurrentRequestsPerInstance(0)
            .requestTimeout("string")
            .build())
        .build())
    .resourceGroupName("string")
    .workspaceName("string")
    .identity(ManagedServiceIdentityArgs.builder()
        .type("string")
        .userAssignedIdentities("string")
        .build())
    .inferencePoolName("string")
    .kind("string")
    .location("string")
    .sku(SkuArgs.builder()
        .name("string")
        .capacity(0)
        .family("string")
        .size("string")
        .tier("Free")
        .build())
    .tags(Map.of("string", "string"))
    .build());

    inference_pool_resource = azure_native.machinelearningservices.InferencePool("inferencePoolResource",
    inference_pool_properties=azure_native.machinelearningservices.InferencePoolArgs(
        node_sku_type="string",
        code_configuration=azure_native.machinelearningservices.CodeConfigurationArgs(
            scoring_script="string",
            code_id="string",
        ),
        description="string",
        environment_configuration=azure_native.machinelearningservices.PoolEnvironmentConfigurationArgs(
            environment_id="string",
            environment_variables={
                "string": "string",
            },
            liveness_probe=azure_native.machinelearningservices.ProbeSettingsArgs(
                failure_threshold=0,
                initial_delay="string",
                period="string",
                success_threshold=0,
                timeout="string",
            ),
            readiness_probe=azure_native.machinelearningservices.ProbeSettingsArgs(
                failure_threshold=0,
                initial_delay="string",
                period="string",
                success_threshold=0,
                timeout="string",
            ),
            startup_probe=azure_native.machinelearningservices.ProbeSettingsArgs(
                failure_threshold=0,
                initial_delay="string",
                period="string",
                success_threshold=0,
                timeout="string",
            ),
        ),
        model_configuration=azure_native.machinelearningservices.PoolModelConfigurationArgs(
            model_id="string",
        ),
        properties={
            "string": "string",
        },
        request_configuration=azure_native.machinelearningservices.RequestConfigurationArgs(
            max_concurrent_requests_per_instance=0,
            request_timeout="string",
        ),
    ),
    resource_group_name="string",
    workspace_name="string",
    identity=azure_native.machinelearningservices.ManagedServiceIdentityArgs(
        type="string",
        user_assigned_identities=["string"],
    ),
    inference_pool_name="string",
    kind="string",
    location="string",
    sku=azure_native.machinelearningservices.SkuArgs(
        name="string",
        capacity=0,
        family="string",
        size="string",
        tier=azure_native.machinelearningservices.SkuTier.FREE,
    ),
    tags={
        "string": "string",
    })

    const inferencePoolResource = new azure_native.machinelearningservices.InferencePool("inferencePoolResource", {
    inferencePoolProperties: {
        nodeSkuType: "string",
        codeConfiguration: {
            scoringScript: "string",
            codeId: "string",
        },
        description: "string",
        environmentConfiguration: {
            environmentId: "string",
            environmentVariables: {
                string: "string",
            },
            livenessProbe: {
                failureThreshold: 0,
                initialDelay: "string",
                period: "string",
                successThreshold: 0,
                timeout: "string",
            },
            readinessProbe: {
                failureThreshold: 0,
                initialDelay: "string",
                period: "string",
                successThreshold: 0,
                timeout: "string",
            },
            startupProbe: {
                failureThreshold: 0,
                initialDelay: "string",
                period: "string",
                successThreshold: 0,
                timeout: "string",
            },
        },
        modelConfiguration: {
            modelId: "string",
        },
        properties: {
            string: "string",
        },
        requestConfiguration: {
            maxConcurrentRequestsPerInstance: 0,
            requestTimeout: "string",
        },
    },
    resourceGroupName: "string",
    workspaceName: "string",
    identity: {
        type: "string",
        userAssignedIdentities: ["string"],
    },
    inferencePoolName: "string",
    kind: "string",
    location: "string",
    sku: {
        name: "string",
        capacity: 0,
        family: "string",
        size: "string",
        tier: azure_native.machinelearningservices.SkuTier.Free,
    },
    tags: {
        string: "string",
    },
});

    type: azure-native:machinelearningservices:InferencePool
properties:
    identity:
        type: string
        userAssignedIdentities:
            - string
    inferencePoolName: string
    inferencePoolProperties:
        codeConfiguration:
            codeId: string
            scoringScript: string
        description: string
        environmentConfiguration:
            environmentId: string
            environmentVariables:
                string: string
            livenessProbe:
                failureThreshold: 0
                initialDelay: string
                period: string
                successThreshold: 0
                timeout: string
            readinessProbe:
                failureThreshold: 0
                initialDelay: string
                period: string
                successThreshold: 0
                timeout: string
            startupProbe:
                failureThreshold: 0
                initialDelay: string
                period: string
                successThreshold: 0
                timeout: string
        modelConfiguration:
            modelId: string
        nodeSkuType: string
        properties:
            string: string
        requestConfiguration:
            maxConcurrentRequestsPerInstance: 0
            requestTimeout: string
    kind: string
    location: string
    resourceGroupName: string
    sku:
        capacity: 0
        family: string
        name: string
        size: string
        tier: Free
    tags:
        string: string
    workspaceName: string

    InferencePool 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 InferencePool resource accepts the following input properties:

    InferencePoolProperties Pulumi.AzureNative.MachineLearningServices.Inputs.InferencePool
    [Required] Additional attributes of the entity.
    ResourceGroupName string
    The name of the resource group. The name is case insensitive.
    WorkspaceName string
    Name of Azure Machine Learning workspace.
    Identity Pulumi.AzureNative.MachineLearningServices.Inputs.ManagedServiceIdentity
    Managed service identity (system assigned and/or user assigned identities)
    InferencePoolName string
    Name of InferencePool
    Kind string
    Metadata used by portal/tooling/etc to render different UX experiences for resources of the same type.
    Location string
    The geo-location where the resource lives
    Sku Pulumi.AzureNative.MachineLearningServices.Inputs.Sku
    Sku details required for ARM contract for Autoscaling.
    Tags Dictionary<string, string>
    Resource tags.
    InferencePoolProperties InferencePoolTypeArgs
    [Required] Additional attributes of the entity.
    ResourceGroupName string
    The name of the resource group. The name is case insensitive.
    WorkspaceName string
    Name of Azure Machine Learning workspace.
    Identity ManagedServiceIdentityArgs
    Managed service identity (system assigned and/or user assigned identities)
    InferencePoolName string
    Name of InferencePool
    Kind string
    Metadata used by portal/tooling/etc to render different UX experiences for resources of the same type.
    Location string
    The geo-location where the resource lives
    Sku SkuArgs
    Sku details required for ARM contract for Autoscaling.
    Tags map[string]string
    Resource tags.
    inferencePoolProperties InferencePool
    [Required] Additional attributes of the entity.
    resourceGroupName String
    The name of the resource group. The name is case insensitive.
    workspaceName String
    Name of Azure Machine Learning workspace.
    identity ManagedServiceIdentity
    Managed service identity (system assigned and/or user assigned identities)
    inferencePoolName String
    Name of InferencePool
    kind String
    Metadata used by portal/tooling/etc to render different UX experiences for resources of the same type.
    location String
    The geo-location where the resource lives
    sku Sku
    Sku details required for ARM contract for Autoscaling.
    tags Map<String,String>
    Resource tags.
    inferencePoolProperties InferencePool
    [Required] Additional attributes of the entity.
    resourceGroupName string
    The name of the resource group. The name is case insensitive.
    workspaceName string
    Name of Azure Machine Learning workspace.
    identity ManagedServiceIdentity
    Managed service identity (system assigned and/or user assigned identities)
    inferencePoolName string
    Name of InferencePool
    kind string
    Metadata used by portal/tooling/etc to render different UX experiences for resources of the same type.
    location string
    The geo-location where the resource lives
    sku Sku
    Sku details required for ARM contract for Autoscaling.
    tags {[key: string]: string}
    Resource tags.
    inference_pool_properties InferencePoolArgs
    [Required] Additional attributes of the entity.
    resource_group_name str
    The name of the resource group. The name is case insensitive.
    workspace_name str
    Name of Azure Machine Learning workspace.
    identity ManagedServiceIdentityArgs
    Managed service identity (system assigned and/or user assigned identities)
    inference_pool_name str
    Name of InferencePool
    kind str
    Metadata used by portal/tooling/etc to render different UX experiences for resources of the same type.
    location str
    The geo-location where the resource lives
    sku SkuArgs
    Sku details required for ARM contract for Autoscaling.
    tags Mapping[str, str]
    Resource tags.
    inferencePoolProperties Property Map
    [Required] Additional attributes of the entity.
    resourceGroupName String
    The name of the resource group. The name is case insensitive.
    workspaceName String
    Name of Azure Machine Learning workspace.
    identity Property Map
    Managed service identity (system assigned and/or user assigned identities)
    inferencePoolName String
    Name of InferencePool
    kind String
    Metadata used by portal/tooling/etc to render different UX experiences for resources of the same type.
    location String
    The geo-location where the resource lives
    sku Property Map
    Sku details required for ARM contract for Autoscaling.
    tags Map<String>
    Resource tags.

    Outputs

    All input properties are implicitly available as output properties. Additionally, the InferencePool resource produces the following output properties:

    Id string
    The provider-assigned unique ID for this managed resource.
    Name string
    The name of the resource
    SystemData Pulumi.AzureNative.MachineLearningServices.Outputs.SystemDataResponse
    Azure Resource Manager metadata containing createdBy and modifiedBy information.
    Type string
    The type of the resource. E.g. "Microsoft.Compute/virtualMachines" or "Microsoft.Storage/storageAccounts"
    Id string
    The provider-assigned unique ID for this managed resource.
    Name string
    The name of the resource
    SystemData SystemDataResponse
    Azure Resource Manager metadata containing createdBy and modifiedBy information.
    Type string
    The type of the resource. E.g. "Microsoft.Compute/virtualMachines" or "Microsoft.Storage/storageAccounts"
    id String
    The provider-assigned unique ID for this managed resource.
    name String
    The name of the resource
    systemData SystemDataResponse
    Azure Resource Manager metadata containing createdBy and modifiedBy information.
    type String
    The type of the resource. E.g. "Microsoft.Compute/virtualMachines" or "Microsoft.Storage/storageAccounts"
    id string
    The provider-assigned unique ID for this managed resource.
    name string
    The name of the resource
    systemData SystemDataResponse
    Azure Resource Manager metadata containing createdBy and modifiedBy information.
    type string
    The type of the resource. E.g. "Microsoft.Compute/virtualMachines" or "Microsoft.Storage/storageAccounts"
    id str
    The provider-assigned unique ID for this managed resource.
    name str
    The name of the resource
    system_data SystemDataResponse
    Azure Resource Manager metadata containing createdBy and modifiedBy information.
    type str
    The type of the resource. E.g. "Microsoft.Compute/virtualMachines" or "Microsoft.Storage/storageAccounts"
    id String
    The provider-assigned unique ID for this managed resource.
    name String
    The name of the resource
    systemData Property Map
    Azure Resource Manager metadata containing createdBy and modifiedBy information.
    type String
    The type of the resource. E.g. "Microsoft.Compute/virtualMachines" or "Microsoft.Storage/storageAccounts"

    Supporting Types

    CodeConfiguration, CodeConfigurationArgs

    ScoringScript string
    [Required] The script to execute on startup. eg. "score.py"
    CodeId string
    ARM resource ID of the code asset.
    ScoringScript string
    [Required] The script to execute on startup. eg. "score.py"
    CodeId string
    ARM resource ID of the code asset.
    scoringScript String
    [Required] The script to execute on startup. eg. "score.py"
    codeId String
    ARM resource ID of the code asset.
    scoringScript string
    [Required] The script to execute on startup. eg. "score.py"
    codeId string
    ARM resource ID of the code asset.
    scoring_script str
    [Required] The script to execute on startup. eg. "score.py"
    code_id str
    ARM resource ID of the code asset.
    scoringScript String
    [Required] The script to execute on startup. eg. "score.py"
    codeId String
    ARM resource ID of the code asset.

    CodeConfigurationResponse, CodeConfigurationResponseArgs

    ScoringScript string
    [Required] The script to execute on startup. eg. "score.py"
    CodeId string
    ARM resource ID of the code asset.
    ScoringScript string
    [Required] The script to execute on startup. eg. "score.py"
    CodeId string
    ARM resource ID of the code asset.
    scoringScript String
    [Required] The script to execute on startup. eg. "score.py"
    codeId String
    ARM resource ID of the code asset.
    scoringScript string
    [Required] The script to execute on startup. eg. "score.py"
    codeId string
    ARM resource ID of the code asset.
    scoring_script str
    [Required] The script to execute on startup. eg. "score.py"
    code_id str
    ARM resource ID of the code asset.
    scoringScript String
    [Required] The script to execute on startup. eg. "score.py"
    codeId String
    ARM resource ID of the code asset.

    InferencePool, InferencePoolArgs

    NodeSkuType string
    [Required] Compute instance type.
    CodeConfiguration Pulumi.AzureNative.MachineLearningServices.Inputs.CodeConfiguration
    Code configuration for the inference pool.
    Description string
    Description of the resource.
    EnvironmentConfiguration Pulumi.AzureNative.MachineLearningServices.Inputs.PoolEnvironmentConfiguration
    EnvironmentConfiguration for the inference pool.
    ModelConfiguration Pulumi.AzureNative.MachineLearningServices.Inputs.PoolModelConfiguration
    ModelConfiguration for the inference pool.
    Properties Dictionary<string, string>
    Property dictionary. Properties can be added, but not removed or altered.
    RequestConfiguration Pulumi.AzureNative.MachineLearningServices.Inputs.RequestConfiguration
    Request configuration for the inference pool.
    NodeSkuType string
    [Required] Compute instance type.
    CodeConfiguration CodeConfiguration
    Code configuration for the inference pool.
    Description string
    Description of the resource.
    EnvironmentConfiguration PoolEnvironmentConfiguration
    EnvironmentConfiguration for the inference pool.
    ModelConfiguration PoolModelConfiguration
    ModelConfiguration for the inference pool.
    Properties map[string]string
    Property dictionary. Properties can be added, but not removed or altered.
    RequestConfiguration RequestConfiguration
    Request configuration for the inference pool.
    nodeSkuType String
    [Required] Compute instance type.
    codeConfiguration CodeConfiguration
    Code configuration for the inference pool.
    description String
    Description of the resource.
    environmentConfiguration PoolEnvironmentConfiguration
    EnvironmentConfiguration for the inference pool.
    modelConfiguration PoolModelConfiguration
    ModelConfiguration for the inference pool.
    properties Map<String,String>
    Property dictionary. Properties can be added, but not removed or altered.
    requestConfiguration RequestConfiguration
    Request configuration for the inference pool.
    nodeSkuType string
    [Required] Compute instance type.
    codeConfiguration CodeConfiguration
    Code configuration for the inference pool.
    description string
    Description of the resource.
    environmentConfiguration PoolEnvironmentConfiguration
    EnvironmentConfiguration for the inference pool.
    modelConfiguration PoolModelConfiguration
    ModelConfiguration for the inference pool.
    properties {[key: string]: string}
    Property dictionary. Properties can be added, but not removed or altered.
    requestConfiguration RequestConfiguration
    Request configuration for the inference pool.
    node_sku_type str
    [Required] Compute instance type.
    code_configuration CodeConfiguration
    Code configuration for the inference pool.
    description str
    Description of the resource.
    environment_configuration PoolEnvironmentConfiguration
    EnvironmentConfiguration for the inference pool.
    model_configuration PoolModelConfiguration
    ModelConfiguration for the inference pool.
    properties Mapping[str, str]
    Property dictionary. Properties can be added, but not removed or altered.
    request_configuration RequestConfiguration
    Request configuration for the inference pool.
    nodeSkuType String
    [Required] Compute instance type.
    codeConfiguration Property Map
    Code configuration for the inference pool.
    description String
    Description of the resource.
    environmentConfiguration Property Map
    EnvironmentConfiguration for the inference pool.
    modelConfiguration Property Map
    ModelConfiguration for the inference pool.
    properties Map<String>
    Property dictionary. Properties can be added, but not removed or altered.
    requestConfiguration Property Map
    Request configuration for the inference pool.

    InferencePoolResponse, InferencePoolResponseArgs

    NodeSkuType string
    [Required] Compute instance type.
    ProvisioningState string
    Provisioning state for the pool.
    CodeConfiguration Pulumi.AzureNative.MachineLearningServices.Inputs.CodeConfigurationResponse
    Code configuration for the inference pool.
    Description string
    Description of the resource.
    EnvironmentConfiguration Pulumi.AzureNative.MachineLearningServices.Inputs.PoolEnvironmentConfigurationResponse
    EnvironmentConfiguration for the inference pool.
    ModelConfiguration Pulumi.AzureNative.MachineLearningServices.Inputs.PoolModelConfigurationResponse
    ModelConfiguration for the inference pool.
    Properties Dictionary<string, string>
    Property dictionary. Properties can be added, but not removed or altered.
    RequestConfiguration Pulumi.AzureNative.MachineLearningServices.Inputs.RequestConfigurationResponse
    Request configuration for the inference pool.
    NodeSkuType string
    [Required] Compute instance type.
    ProvisioningState string
    Provisioning state for the pool.
    CodeConfiguration CodeConfigurationResponse
    Code configuration for the inference pool.
    Description string
    Description of the resource.
    EnvironmentConfiguration PoolEnvironmentConfigurationResponse
    EnvironmentConfiguration for the inference pool.
    ModelConfiguration PoolModelConfigurationResponse
    ModelConfiguration for the inference pool.
    Properties map[string]string
    Property dictionary. Properties can be added, but not removed or altered.
    RequestConfiguration RequestConfigurationResponse
    Request configuration for the inference pool.
    nodeSkuType String
    [Required] Compute instance type.
    provisioningState String
    Provisioning state for the pool.
    codeConfiguration CodeConfigurationResponse
    Code configuration for the inference pool.
    description String
    Description of the resource.
    environmentConfiguration PoolEnvironmentConfigurationResponse
    EnvironmentConfiguration for the inference pool.
    modelConfiguration PoolModelConfigurationResponse
    ModelConfiguration for the inference pool.
    properties Map<String,String>
    Property dictionary. Properties can be added, but not removed or altered.
    requestConfiguration RequestConfigurationResponse
    Request configuration for the inference pool.
    nodeSkuType string
    [Required] Compute instance type.
    provisioningState string
    Provisioning state for the pool.
    codeConfiguration CodeConfigurationResponse
    Code configuration for the inference pool.
    description string
    Description of the resource.
    environmentConfiguration PoolEnvironmentConfigurationResponse
    EnvironmentConfiguration for the inference pool.
    modelConfiguration PoolModelConfigurationResponse
    ModelConfiguration for the inference pool.
    properties {[key: string]: string}
    Property dictionary. Properties can be added, but not removed or altered.
    requestConfiguration RequestConfigurationResponse
    Request configuration for the inference pool.
    node_sku_type str
    [Required] Compute instance type.
    provisioning_state str
    Provisioning state for the pool.
    code_configuration CodeConfigurationResponse
    Code configuration for the inference pool.
    description str
    Description of the resource.
    environment_configuration PoolEnvironmentConfigurationResponse
    EnvironmentConfiguration for the inference pool.
    model_configuration PoolModelConfigurationResponse
    ModelConfiguration for the inference pool.
    properties Mapping[str, str]
    Property dictionary. Properties can be added, but not removed or altered.
    request_configuration RequestConfigurationResponse
    Request configuration for the inference pool.
    nodeSkuType String
    [Required] Compute instance type.
    provisioningState String
    Provisioning state for the pool.
    codeConfiguration Property Map
    Code configuration for the inference pool.
    description String
    Description of the resource.
    environmentConfiguration Property Map
    EnvironmentConfiguration for the inference pool.
    modelConfiguration Property Map
    ModelConfiguration for the inference pool.
    properties Map<String>
    Property dictionary. Properties can be added, but not removed or altered.
    requestConfiguration Property Map
    Request configuration for the inference pool.

    ManagedServiceIdentity, ManagedServiceIdentityArgs

    Type string | Pulumi.AzureNative.MachineLearningServices.ManagedServiceIdentityType
    Type of managed service identity (where both SystemAssigned and UserAssigned types are allowed).
    UserAssignedIdentities List<string>
    The set of user assigned identities associated with the resource. The userAssignedIdentities dictionary keys will be ARM resource ids in the form: '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.ManagedIdentity/userAssignedIdentities/{identityName}. The dictionary values can be empty objects ({}) in requests.
    Type string | ManagedServiceIdentityType
    Type of managed service identity (where both SystemAssigned and UserAssigned types are allowed).
    UserAssignedIdentities []string
    The set of user assigned identities associated with the resource. The userAssignedIdentities dictionary keys will be ARM resource ids in the form: '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.ManagedIdentity/userAssignedIdentities/{identityName}. The dictionary values can be empty objects ({}) in requests.
    type String | ManagedServiceIdentityType
    Type of managed service identity (where both SystemAssigned and UserAssigned types are allowed).
    userAssignedIdentities List<String>
    The set of user assigned identities associated with the resource. The userAssignedIdentities dictionary keys will be ARM resource ids in the form: '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.ManagedIdentity/userAssignedIdentities/{identityName}. The dictionary values can be empty objects ({}) in requests.
    type string | ManagedServiceIdentityType
    Type of managed service identity (where both SystemAssigned and UserAssigned types are allowed).
    userAssignedIdentities string[]
    The set of user assigned identities associated with the resource. The userAssignedIdentities dictionary keys will be ARM resource ids in the form: '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.ManagedIdentity/userAssignedIdentities/{identityName}. The dictionary values can be empty objects ({}) in requests.
    type str | ManagedServiceIdentityType
    Type of managed service identity (where both SystemAssigned and UserAssigned types are allowed).
    user_assigned_identities Sequence[str]
    The set of user assigned identities associated with the resource. The userAssignedIdentities dictionary keys will be ARM resource ids in the form: '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.ManagedIdentity/userAssignedIdentities/{identityName}. The dictionary values can be empty objects ({}) in requests.
    type String | "None" | "SystemAssigned" | "UserAssigned" | "SystemAssigned,UserAssigned"
    Type of managed service identity (where both SystemAssigned and UserAssigned types are allowed).
    userAssignedIdentities List<String>
    The set of user assigned identities associated with the resource. The userAssignedIdentities dictionary keys will be ARM resource ids in the form: '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.ManagedIdentity/userAssignedIdentities/{identityName}. The dictionary values can be empty objects ({}) in requests.

    ManagedServiceIdentityResponse, ManagedServiceIdentityResponseArgs

    PrincipalId string
    The service principal ID of the system assigned identity. This property will only be provided for a system assigned identity.
    TenantId string
    The tenant ID of the system assigned identity. This property will only be provided for a system assigned identity.
    Type string
    Type of managed service identity (where both SystemAssigned and UserAssigned types are allowed).
    UserAssignedIdentities Dictionary<string, Pulumi.AzureNative.MachineLearningServices.Inputs.UserAssignedIdentityResponse>
    The set of user assigned identities associated with the resource. The userAssignedIdentities dictionary keys will be ARM resource ids in the form: '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.ManagedIdentity/userAssignedIdentities/{identityName}. The dictionary values can be empty objects ({}) in requests.
    PrincipalId string
    The service principal ID of the system assigned identity. This property will only be provided for a system assigned identity.
    TenantId string
    The tenant ID of the system assigned identity. This property will only be provided for a system assigned identity.
    Type string
    Type of managed service identity (where both SystemAssigned and UserAssigned types are allowed).
    UserAssignedIdentities map[string]UserAssignedIdentityResponse
    The set of user assigned identities associated with the resource. The userAssignedIdentities dictionary keys will be ARM resource ids in the form: '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.ManagedIdentity/userAssignedIdentities/{identityName}. The dictionary values can be empty objects ({}) in requests.
    principalId String
    The service principal ID of the system assigned identity. This property will only be provided for a system assigned identity.
    tenantId String
    The tenant ID of the system assigned identity. This property will only be provided for a system assigned identity.
    type String
    Type of managed service identity (where both SystemAssigned and UserAssigned types are allowed).
    userAssignedIdentities Map<String,UserAssignedIdentityResponse>
    The set of user assigned identities associated with the resource. The userAssignedIdentities dictionary keys will be ARM resource ids in the form: '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.ManagedIdentity/userAssignedIdentities/{identityName}. The dictionary values can be empty objects ({}) in requests.
    principalId string
    The service principal ID of the system assigned identity. This property will only be provided for a system assigned identity.
    tenantId string
    The tenant ID of the system assigned identity. This property will only be provided for a system assigned identity.
    type string
    Type of managed service identity (where both SystemAssigned and UserAssigned types are allowed).
    userAssignedIdentities {[key: string]: UserAssignedIdentityResponse}
    The set of user assigned identities associated with the resource. The userAssignedIdentities dictionary keys will be ARM resource ids in the form: '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.ManagedIdentity/userAssignedIdentities/{identityName}. The dictionary values can be empty objects ({}) in requests.
    principal_id str
    The service principal ID of the system assigned identity. This property will only be provided for a system assigned identity.
    tenant_id str
    The tenant ID of the system assigned identity. This property will only be provided for a system assigned identity.
    type str
    Type of managed service identity (where both SystemAssigned and UserAssigned types are allowed).
    user_assigned_identities Mapping[str, UserAssignedIdentityResponse]
    The set of user assigned identities associated with the resource. The userAssignedIdentities dictionary keys will be ARM resource ids in the form: '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.ManagedIdentity/userAssignedIdentities/{identityName}. The dictionary values can be empty objects ({}) in requests.
    principalId String
    The service principal ID of the system assigned identity. This property will only be provided for a system assigned identity.
    tenantId String
    The tenant ID of the system assigned identity. This property will only be provided for a system assigned identity.
    type String
    Type of managed service identity (where both SystemAssigned and UserAssigned types are allowed).
    userAssignedIdentities Map<Property Map>
    The set of user assigned identities associated with the resource. The userAssignedIdentities dictionary keys will be ARM resource ids in the form: '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.ManagedIdentity/userAssignedIdentities/{identityName}. The dictionary values can be empty objects ({}) in requests.

    ManagedServiceIdentityType, ManagedServiceIdentityTypeArgs

    None
    None
    SystemAssigned
    SystemAssigned
    UserAssigned
    UserAssigned
    SystemAssigned_UserAssigned
    SystemAssigned,UserAssigned
    ManagedServiceIdentityTypeNone
    None
    ManagedServiceIdentityTypeSystemAssigned
    SystemAssigned
    ManagedServiceIdentityTypeUserAssigned
    UserAssigned
    ManagedServiceIdentityType_SystemAssigned_UserAssigned
    SystemAssigned,UserAssigned
    None
    None
    SystemAssigned
    SystemAssigned
    UserAssigned
    UserAssigned
    SystemAssigned_UserAssigned
    SystemAssigned,UserAssigned
    None
    None
    SystemAssigned
    SystemAssigned
    UserAssigned
    UserAssigned
    SystemAssigned_UserAssigned
    SystemAssigned,UserAssigned
    NONE
    None
    SYSTEM_ASSIGNED
    SystemAssigned
    USER_ASSIGNED
    UserAssigned
    SYSTEM_ASSIGNED_USER_ASSIGNED
    SystemAssigned,UserAssigned
    "None"
    None
    "SystemAssigned"
    SystemAssigned
    "UserAssigned"
    UserAssigned
    "SystemAssigned,UserAssigned"
    SystemAssigned,UserAssigned

    PoolEnvironmentConfiguration, PoolEnvironmentConfigurationArgs

    EnvironmentId string
    ARM resource ID of the environment specification for the inference pool.
    EnvironmentVariables Dictionary<string, string>
    Environment variables configuration for the inference pool.
    LivenessProbe Pulumi.AzureNative.MachineLearningServices.Inputs.ProbeSettings
    Liveness probe monitors the health of the container regularly.
    ReadinessProbe Pulumi.AzureNative.MachineLearningServices.Inputs.ProbeSettings
    Readiness probe validates if the container is ready to serve traffic. The properties and defaults are the same as liveness probe.
    StartupProbe Pulumi.AzureNative.MachineLearningServices.Inputs.ProbeSettings
    This verifies whether the application within a container is started. Startup probes run before any other probe, and, unless it finishes successfully, disables other probes.
    EnvironmentId string
    ARM resource ID of the environment specification for the inference pool.
    EnvironmentVariables map[string]string
    Environment variables configuration for the inference pool.
    LivenessProbe ProbeSettings
    Liveness probe monitors the health of the container regularly.
    ReadinessProbe ProbeSettings
    Readiness probe validates if the container is ready to serve traffic. The properties and defaults are the same as liveness probe.
    StartupProbe ProbeSettings
    This verifies whether the application within a container is started. Startup probes run before any other probe, and, unless it finishes successfully, disables other probes.
    environmentId String
    ARM resource ID of the environment specification for the inference pool.
    environmentVariables Map<String,String>
    Environment variables configuration for the inference pool.
    livenessProbe ProbeSettings
    Liveness probe monitors the health of the container regularly.
    readinessProbe ProbeSettings
    Readiness probe validates if the container is ready to serve traffic. The properties and defaults are the same as liveness probe.
    startupProbe ProbeSettings
    This verifies whether the application within a container is started. Startup probes run before any other probe, and, unless it finishes successfully, disables other probes.
    environmentId string
    ARM resource ID of the environment specification for the inference pool.
    environmentVariables {[key: string]: string}
    Environment variables configuration for the inference pool.
    livenessProbe ProbeSettings
    Liveness probe monitors the health of the container regularly.
    readinessProbe ProbeSettings
    Readiness probe validates if the container is ready to serve traffic. The properties and defaults are the same as liveness probe.
    startupProbe ProbeSettings
    This verifies whether the application within a container is started. Startup probes run before any other probe, and, unless it finishes successfully, disables other probes.
    environment_id str
    ARM resource ID of the environment specification for the inference pool.
    environment_variables Mapping[str, str]
    Environment variables configuration for the inference pool.
    liveness_probe ProbeSettings
    Liveness probe monitors the health of the container regularly.
    readiness_probe ProbeSettings
    Readiness probe validates if the container is ready to serve traffic. The properties and defaults are the same as liveness probe.
    startup_probe ProbeSettings
    This verifies whether the application within a container is started. Startup probes run before any other probe, and, unless it finishes successfully, disables other probes.
    environmentId String
    ARM resource ID of the environment specification for the inference pool.
    environmentVariables Map<String>
    Environment variables configuration for the inference pool.
    livenessProbe Property Map
    Liveness probe monitors the health of the container regularly.
    readinessProbe Property Map
    Readiness probe validates if the container is ready to serve traffic. The properties and defaults are the same as liveness probe.
    startupProbe Property Map
    This verifies whether the application within a container is started. Startup probes run before any other probe, and, unless it finishes successfully, disables other probes.

    PoolEnvironmentConfigurationResponse, PoolEnvironmentConfigurationResponseArgs

    EnvironmentId string
    ARM resource ID of the environment specification for the inference pool.
    EnvironmentVariables Dictionary<string, string>
    Environment variables configuration for the inference pool.
    LivenessProbe Pulumi.AzureNative.MachineLearningServices.Inputs.ProbeSettingsResponse
    Liveness probe monitors the health of the container regularly.
    ReadinessProbe Pulumi.AzureNative.MachineLearningServices.Inputs.ProbeSettingsResponse
    Readiness probe validates if the container is ready to serve traffic. The properties and defaults are the same as liveness probe.
    StartupProbe Pulumi.AzureNative.MachineLearningServices.Inputs.ProbeSettingsResponse
    This verifies whether the application within a container is started. Startup probes run before any other probe, and, unless it finishes successfully, disables other probes.
    EnvironmentId string
    ARM resource ID of the environment specification for the inference pool.
    EnvironmentVariables map[string]string
    Environment variables configuration for the inference pool.
    LivenessProbe ProbeSettingsResponse
    Liveness probe monitors the health of the container regularly.
    ReadinessProbe ProbeSettingsResponse
    Readiness probe validates if the container is ready to serve traffic. The properties and defaults are the same as liveness probe.
    StartupProbe ProbeSettingsResponse
    This verifies whether the application within a container is started. Startup probes run before any other probe, and, unless it finishes successfully, disables other probes.
    environmentId String
    ARM resource ID of the environment specification for the inference pool.
    environmentVariables Map<String,String>
    Environment variables configuration for the inference pool.
    livenessProbe ProbeSettingsResponse
    Liveness probe monitors the health of the container regularly.
    readinessProbe ProbeSettingsResponse
    Readiness probe validates if the container is ready to serve traffic. The properties and defaults are the same as liveness probe.
    startupProbe ProbeSettingsResponse
    This verifies whether the application within a container is started. Startup probes run before any other probe, and, unless it finishes successfully, disables other probes.
    environmentId string
    ARM resource ID of the environment specification for the inference pool.
    environmentVariables {[key: string]: string}
    Environment variables configuration for the inference pool.
    livenessProbe ProbeSettingsResponse
    Liveness probe monitors the health of the container regularly.
    readinessProbe ProbeSettingsResponse
    Readiness probe validates if the container is ready to serve traffic. The properties and defaults are the same as liveness probe.
    startupProbe ProbeSettingsResponse
    This verifies whether the application within a container is started. Startup probes run before any other probe, and, unless it finishes successfully, disables other probes.
    environment_id str
    ARM resource ID of the environment specification for the inference pool.
    environment_variables Mapping[str, str]
    Environment variables configuration for the inference pool.
    liveness_probe ProbeSettingsResponse
    Liveness probe monitors the health of the container regularly.
    readiness_probe ProbeSettingsResponse
    Readiness probe validates if the container is ready to serve traffic. The properties and defaults are the same as liveness probe.
    startup_probe ProbeSettingsResponse
    This verifies whether the application within a container is started. Startup probes run before any other probe, and, unless it finishes successfully, disables other probes.
    environmentId String
    ARM resource ID of the environment specification for the inference pool.
    environmentVariables Map<String>
    Environment variables configuration for the inference pool.
    livenessProbe Property Map
    Liveness probe monitors the health of the container regularly.
    readinessProbe Property Map
    Readiness probe validates if the container is ready to serve traffic. The properties and defaults are the same as liveness probe.
    startupProbe Property Map
    This verifies whether the application within a container is started. Startup probes run before any other probe, and, unless it finishes successfully, disables other probes.

    PoolModelConfiguration, PoolModelConfigurationArgs

    ModelId string
    The URI path to the model.
    ModelId string
    The URI path to the model.
    modelId String
    The URI path to the model.
    modelId string
    The URI path to the model.
    model_id str
    The URI path to the model.
    modelId String
    The URI path to the model.

    PoolModelConfigurationResponse, PoolModelConfigurationResponseArgs

    ModelId string
    The URI path to the model.
    ModelId string
    The URI path to the model.
    modelId String
    The URI path to the model.
    modelId string
    The URI path to the model.
    model_id str
    The URI path to the model.
    modelId String
    The URI path to the model.

    ProbeSettings, ProbeSettingsArgs

    FailureThreshold int
    The number of failures to allow before returning an unhealthy status.
    InitialDelay string
    The delay before the first probe in ISO 8601 format.
    Period string
    The length of time between probes in ISO 8601 format.
    SuccessThreshold int
    The number of successful probes before returning a healthy status.
    Timeout string
    The probe timeout in ISO 8601 format.
    FailureThreshold int
    The number of failures to allow before returning an unhealthy status.
    InitialDelay string
    The delay before the first probe in ISO 8601 format.
    Period string
    The length of time between probes in ISO 8601 format.
    SuccessThreshold int
    The number of successful probes before returning a healthy status.
    Timeout string
    The probe timeout in ISO 8601 format.
    failureThreshold Integer
    The number of failures to allow before returning an unhealthy status.
    initialDelay String
    The delay before the first probe in ISO 8601 format.
    period String
    The length of time between probes in ISO 8601 format.
    successThreshold Integer
    The number of successful probes before returning a healthy status.
    timeout String
    The probe timeout in ISO 8601 format.
    failureThreshold number
    The number of failures to allow before returning an unhealthy status.
    initialDelay string
    The delay before the first probe in ISO 8601 format.
    period string
    The length of time between probes in ISO 8601 format.
    successThreshold number
    The number of successful probes before returning a healthy status.
    timeout string
    The probe timeout in ISO 8601 format.
    failure_threshold int
    The number of failures to allow before returning an unhealthy status.
    initial_delay str
    The delay before the first probe in ISO 8601 format.
    period str
    The length of time between probes in ISO 8601 format.
    success_threshold int
    The number of successful probes before returning a healthy status.
    timeout str
    The probe timeout in ISO 8601 format.
    failureThreshold Number
    The number of failures to allow before returning an unhealthy status.
    initialDelay String
    The delay before the first probe in ISO 8601 format.
    period String
    The length of time between probes in ISO 8601 format.
    successThreshold Number
    The number of successful probes before returning a healthy status.
    timeout String
    The probe timeout in ISO 8601 format.

    ProbeSettingsResponse, ProbeSettingsResponseArgs

    FailureThreshold int
    The number of failures to allow before returning an unhealthy status.
    InitialDelay string
    The delay before the first probe in ISO 8601 format.
    Period string
    The length of time between probes in ISO 8601 format.
    SuccessThreshold int
    The number of successful probes before returning a healthy status.
    Timeout string
    The probe timeout in ISO 8601 format.
    FailureThreshold int
    The number of failures to allow before returning an unhealthy status.
    InitialDelay string
    The delay before the first probe in ISO 8601 format.
    Period string
    The length of time between probes in ISO 8601 format.
    SuccessThreshold int
    The number of successful probes before returning a healthy status.
    Timeout string
    The probe timeout in ISO 8601 format.
    failureThreshold Integer
    The number of failures to allow before returning an unhealthy status.
    initialDelay String
    The delay before the first probe in ISO 8601 format.
    period String
    The length of time between probes in ISO 8601 format.
    successThreshold Integer
    The number of successful probes before returning a healthy status.
    timeout String
    The probe timeout in ISO 8601 format.
    failureThreshold number
    The number of failures to allow before returning an unhealthy status.
    initialDelay string
    The delay before the first probe in ISO 8601 format.
    period string
    The length of time between probes in ISO 8601 format.
    successThreshold number
    The number of successful probes before returning a healthy status.
    timeout string
    The probe timeout in ISO 8601 format.
    failure_threshold int
    The number of failures to allow before returning an unhealthy status.
    initial_delay str
    The delay before the first probe in ISO 8601 format.
    period str
    The length of time between probes in ISO 8601 format.
    success_threshold int
    The number of successful probes before returning a healthy status.
    timeout str
    The probe timeout in ISO 8601 format.
    failureThreshold Number
    The number of failures to allow before returning an unhealthy status.
    initialDelay String
    The delay before the first probe in ISO 8601 format.
    period String
    The length of time between probes in ISO 8601 format.
    successThreshold Number
    The number of successful probes before returning a healthy status.
    timeout String
    The probe timeout in ISO 8601 format.

    RequestConfiguration, RequestConfigurationArgs

    MaxConcurrentRequestsPerInstance int
    The number of maximum concurrent requests per node allowed per deployment. Defaults to 1.
    RequestTimeout string
    The scoring timeout in ISO 8601 format. Defaults to 5000ms.
    MaxConcurrentRequestsPerInstance int
    The number of maximum concurrent requests per node allowed per deployment. Defaults to 1.
    RequestTimeout string
    The scoring timeout in ISO 8601 format. Defaults to 5000ms.
    maxConcurrentRequestsPerInstance Integer
    The number of maximum concurrent requests per node allowed per deployment. Defaults to 1.
    requestTimeout String
    The scoring timeout in ISO 8601 format. Defaults to 5000ms.
    maxConcurrentRequestsPerInstance number
    The number of maximum concurrent requests per node allowed per deployment. Defaults to 1.
    requestTimeout string
    The scoring timeout in ISO 8601 format. Defaults to 5000ms.
    max_concurrent_requests_per_instance int
    The number of maximum concurrent requests per node allowed per deployment. Defaults to 1.
    request_timeout str
    The scoring timeout in ISO 8601 format. Defaults to 5000ms.
    maxConcurrentRequestsPerInstance Number
    The number of maximum concurrent requests per node allowed per deployment. Defaults to 1.
    requestTimeout String
    The scoring timeout in ISO 8601 format. Defaults to 5000ms.

    RequestConfigurationResponse, RequestConfigurationResponseArgs

    MaxConcurrentRequestsPerInstance int
    The number of maximum concurrent requests per node allowed per deployment. Defaults to 1.
    RequestTimeout string
    The scoring timeout in ISO 8601 format. Defaults to 5000ms.
    MaxConcurrentRequestsPerInstance int
    The number of maximum concurrent requests per node allowed per deployment. Defaults to 1.
    RequestTimeout string
    The scoring timeout in ISO 8601 format. Defaults to 5000ms.
    maxConcurrentRequestsPerInstance Integer
    The number of maximum concurrent requests per node allowed per deployment. Defaults to 1.
    requestTimeout String
    The scoring timeout in ISO 8601 format. Defaults to 5000ms.
    maxConcurrentRequestsPerInstance number
    The number of maximum concurrent requests per node allowed per deployment. Defaults to 1.
    requestTimeout string
    The scoring timeout in ISO 8601 format. Defaults to 5000ms.
    max_concurrent_requests_per_instance int
    The number of maximum concurrent requests per node allowed per deployment. Defaults to 1.
    request_timeout str
    The scoring timeout in ISO 8601 format. Defaults to 5000ms.
    maxConcurrentRequestsPerInstance Number
    The number of maximum concurrent requests per node allowed per deployment. Defaults to 1.
    requestTimeout String
    The scoring timeout in ISO 8601 format. Defaults to 5000ms.

    Sku, SkuArgs

    Name string
    The name of the SKU. Ex - P3. It is typically a letter+number code
    Capacity int
    If the SKU supports scale out/in then the capacity integer should be included. If scale out/in is not possible for the resource this may be omitted.
    Family string
    If the service has different generations of hardware, for the same SKU, then that can be captured here.
    Size string
    The SKU size. When the name field is the combination of tier and some other value, this would be the standalone code.
    Tier Pulumi.AzureNative.MachineLearningServices.SkuTier
    This field is required to be implemented by the Resource Provider if the service has more than one tier, but is not required on a PUT.
    Name string
    The name of the SKU. Ex - P3. It is typically a letter+number code
    Capacity int
    If the SKU supports scale out/in then the capacity integer should be included. If scale out/in is not possible for the resource this may be omitted.
    Family string
    If the service has different generations of hardware, for the same SKU, then that can be captured here.
    Size string
    The SKU size. When the name field is the combination of tier and some other value, this would be the standalone code.
    Tier SkuTier
    This field is required to be implemented by the Resource Provider if the service has more than one tier, but is not required on a PUT.
    name String
    The name of the SKU. Ex - P3. It is typically a letter+number code
    capacity Integer
    If the SKU supports scale out/in then the capacity integer should be included. If scale out/in is not possible for the resource this may be omitted.
    family String
    If the service has different generations of hardware, for the same SKU, then that can be captured here.
    size String
    The SKU size. When the name field is the combination of tier and some other value, this would be the standalone code.
    tier SkuTier
    This field is required to be implemented by the Resource Provider if the service has more than one tier, but is not required on a PUT.
    name string
    The name of the SKU. Ex - P3. It is typically a letter+number code
    capacity number
    If the SKU supports scale out/in then the capacity integer should be included. If scale out/in is not possible for the resource this may be omitted.
    family string
    If the service has different generations of hardware, for the same SKU, then that can be captured here.
    size string
    The SKU size. When the name field is the combination of tier and some other value, this would be the standalone code.
    tier SkuTier
    This field is required to be implemented by the Resource Provider if the service has more than one tier, but is not required on a PUT.
    name str
    The name of the SKU. Ex - P3. It is typically a letter+number code
    capacity int
    If the SKU supports scale out/in then the capacity integer should be included. If scale out/in is not possible for the resource this may be omitted.
    family str
    If the service has different generations of hardware, for the same SKU, then that can be captured here.
    size str
    The SKU size. When the name field is the combination of tier and some other value, this would be the standalone code.
    tier SkuTier
    This field is required to be implemented by the Resource Provider if the service has more than one tier, but is not required on a PUT.
    name String
    The name of the SKU. Ex - P3. It is typically a letter+number code
    capacity Number
    If the SKU supports scale out/in then the capacity integer should be included. If scale out/in is not possible for the resource this may be omitted.
    family String
    If the service has different generations of hardware, for the same SKU, then that can be captured here.
    size String
    The SKU size. When the name field is the combination of tier and some other value, this would be the standalone code.
    tier "Free" | "Basic" | "Standard" | "Premium"
    This field is required to be implemented by the Resource Provider if the service has more than one tier, but is not required on a PUT.

    SkuResponse, SkuResponseArgs

    Name string
    The name of the SKU. Ex - P3. It is typically a letter+number code
    Capacity int
    If the SKU supports scale out/in then the capacity integer should be included. If scale out/in is not possible for the resource this may be omitted.
    Family string
    If the service has different generations of hardware, for the same SKU, then that can be captured here.
    Size string
    The SKU size. When the name field is the combination of tier and some other value, this would be the standalone code.
    Tier string
    This field is required to be implemented by the Resource Provider if the service has more than one tier, but is not required on a PUT.
    Name string
    The name of the SKU. Ex - P3. It is typically a letter+number code
    Capacity int
    If the SKU supports scale out/in then the capacity integer should be included. If scale out/in is not possible for the resource this may be omitted.
    Family string
    If the service has different generations of hardware, for the same SKU, then that can be captured here.
    Size string
    The SKU size. When the name field is the combination of tier and some other value, this would be the standalone code.
    Tier string
    This field is required to be implemented by the Resource Provider if the service has more than one tier, but is not required on a PUT.
    name String
    The name of the SKU. Ex - P3. It is typically a letter+number code
    capacity Integer
    If the SKU supports scale out/in then the capacity integer should be included. If scale out/in is not possible for the resource this may be omitted.
    family String
    If the service has different generations of hardware, for the same SKU, then that can be captured here.
    size String
    The SKU size. When the name field is the combination of tier and some other value, this would be the standalone code.
    tier String
    This field is required to be implemented by the Resource Provider if the service has more than one tier, but is not required on a PUT.
    name string
    The name of the SKU. Ex - P3. It is typically a letter+number code
    capacity number
    If the SKU supports scale out/in then the capacity integer should be included. If scale out/in is not possible for the resource this may be omitted.
    family string
    If the service has different generations of hardware, for the same SKU, then that can be captured here.
    size string
    The SKU size. When the name field is the combination of tier and some other value, this would be the standalone code.
    tier string
    This field is required to be implemented by the Resource Provider if the service has more than one tier, but is not required on a PUT.
    name str
    The name of the SKU. Ex - P3. It is typically a letter+number code
    capacity int
    If the SKU supports scale out/in then the capacity integer should be included. If scale out/in is not possible for the resource this may be omitted.
    family str
    If the service has different generations of hardware, for the same SKU, then that can be captured here.
    size str
    The SKU size. When the name field is the combination of tier and some other value, this would be the standalone code.
    tier str
    This field is required to be implemented by the Resource Provider if the service has more than one tier, but is not required on a PUT.
    name String
    The name of the SKU. Ex - P3. It is typically a letter+number code
    capacity Number
    If the SKU supports scale out/in then the capacity integer should be included. If scale out/in is not possible for the resource this may be omitted.
    family String
    If the service has different generations of hardware, for the same SKU, then that can be captured here.
    size String
    The SKU size. When the name field is the combination of tier and some other value, this would be the standalone code.
    tier String
    This field is required to be implemented by the Resource Provider if the service has more than one tier, but is not required on a PUT.

    SkuTier, SkuTierArgs

    Free
    Free
    Basic
    Basic
    Standard
    Standard
    Premium
    Premium
    SkuTierFree
    Free
    SkuTierBasic
    Basic
    SkuTierStandard
    Standard
    SkuTierPremium
    Premium
    Free
    Free
    Basic
    Basic
    Standard
    Standard
    Premium
    Premium
    Free
    Free
    Basic
    Basic
    Standard
    Standard
    Premium
    Premium
    FREE
    Free
    BASIC
    Basic
    STANDARD
    Standard
    PREMIUM
    Premium
    "Free"
    Free
    "Basic"
    Basic
    "Standard"
    Standard
    "Premium"
    Premium

    SystemDataResponse, SystemDataResponseArgs

    CreatedAt string
    The timestamp of resource creation (UTC).
    CreatedBy string
    The identity that created the resource.
    CreatedByType string
    The type of identity that created the resource.
    LastModifiedAt string
    The timestamp of resource last modification (UTC)
    LastModifiedBy string
    The identity that last modified the resource.
    LastModifiedByType string
    The type of identity that last modified the resource.
    CreatedAt string
    The timestamp of resource creation (UTC).
    CreatedBy string
    The identity that created the resource.
    CreatedByType string
    The type of identity that created the resource.
    LastModifiedAt string
    The timestamp of resource last modification (UTC)
    LastModifiedBy string
    The identity that last modified the resource.
    LastModifiedByType string
    The type of identity that last modified the resource.
    createdAt String
    The timestamp of resource creation (UTC).
    createdBy String
    The identity that created the resource.
    createdByType String
    The type of identity that created the resource.
    lastModifiedAt String
    The timestamp of resource last modification (UTC)
    lastModifiedBy String
    The identity that last modified the resource.
    lastModifiedByType String
    The type of identity that last modified the resource.
    createdAt string
    The timestamp of resource creation (UTC).
    createdBy string
    The identity that created the resource.
    createdByType string
    The type of identity that created the resource.
    lastModifiedAt string
    The timestamp of resource last modification (UTC)
    lastModifiedBy string
    The identity that last modified the resource.
    lastModifiedByType string
    The type of identity that last modified the resource.
    created_at str
    The timestamp of resource creation (UTC).
    created_by str
    The identity that created the resource.
    created_by_type str
    The type of identity that created the resource.
    last_modified_at str
    The timestamp of resource last modification (UTC)
    last_modified_by str
    The identity that last modified the resource.
    last_modified_by_type str
    The type of identity that last modified the resource.
    createdAt String
    The timestamp of resource creation (UTC).
    createdBy String
    The identity that created the resource.
    createdByType String
    The type of identity that created the resource.
    lastModifiedAt String
    The timestamp of resource last modification (UTC)
    lastModifiedBy String
    The identity that last modified the resource.
    lastModifiedByType String
    The type of identity that last modified the resource.

    UserAssignedIdentityResponse, UserAssignedIdentityResponseArgs

    ClientId string
    The client ID of the assigned identity.
    PrincipalId string
    The principal ID of the assigned identity.
    TenantId string
    The tenant ID of the user assigned identity.
    ClientId string
    The client ID of the assigned identity.
    PrincipalId string
    The principal ID of the assigned identity.
    TenantId string
    The tenant ID of the user assigned identity.
    clientId String
    The client ID of the assigned identity.
    principalId String
    The principal ID of the assigned identity.
    tenantId String
    The tenant ID of the user assigned identity.
    clientId string
    The client ID of the assigned identity.
    principalId string
    The principal ID of the assigned identity.
    tenantId string
    The tenant ID of the user assigned identity.
    client_id str
    The client ID of the assigned identity.
    principal_id str
    The principal ID of the assigned identity.
    tenant_id str
    The tenant ID of the user assigned identity.
    clientId String
    The client ID of the assigned identity.
    principalId String
    The principal ID of the assigned identity.
    tenantId String
    The tenant ID of the user assigned identity.

    Package Details

    Repository
    Azure Native pulumi/pulumi-azure-native
    License
    Apache-2.0
    azure-native logo
    This is the latest version of Azure Native. Use the Azure Native v1 docs if using the v1 version of this package.
    Azure Native v2.39.0 published on Monday, Apr 29, 2024 by Pulumi
    pulumi/pulumi-azure-native