Create Endpoint Config

sagemaker_create_endpoint_config

R Documentation

Creates an endpoint configuration that SageMaker hosting services uses to deploy models

Description

Creates an endpoint configuration that SageMaker hosting services uses to deploy models. In the configuration, you identify one or more models, created using the create_model API, to deploy and the resources that you want SageMaker to provision. Then you call the create_endpoint API.

Use this API if you want to use SageMaker hosting services to deploy models into production.

In the request, you define a ProductionVariant, for each model that you want to deploy. Each ProductionVariant parameter also describes the resources that you want SageMaker to provision. This includes the number and type of ML compute instances to deploy.

If you are hosting multiple models, you also assign a VariantWeight to specify how much traffic you want to allocate to each model. For example, suppose that you want to host two models, A and B, and you assign traffic weight 2 for model A and 1 for model B. SageMaker distributes two-thirds of the traffic to Model A, and one-third to model B.

When you call create_endpoint, a load call is made to DynamoDB to verify that your endpoint configuration exists. When you read data from a DynamoDB table supporting ⁠Eventually Consistent Reads⁠ , the response might not reflect the results of a recently completed write operation. The response might include some stale data. If the dependent entities are not yet in DynamoDB, this causes a validation error. If you repeat your read request after a short time, the response should return the latest data. So retry logic is recommended to handle these possible issues. We also recommend that customers call describe_endpoint_config before calling create_endpoint to minimize the potential impact of a DynamoDB eventually consistent read.

Usage

sagemaker_create_endpoint_config(EndpointConfigName, ProductionVariants,
  DataCaptureConfig, Tags, KmsKeyId, AsyncInferenceConfig,
  ExplainerConfig, ShadowProductionVariants, ExecutionRoleArn, VpcConfig,
  EnableNetworkIsolation)

Arguments

EndpointConfigName	[required] The name of the endpoint configuration. You specify this name in a create_endpoint request.
ProductionVariants	[required] An array of ProductionVariant objects, one for each model that you want to host at this endpoint.
DataCaptureConfig
Tags	An array of key-value pairs. You can use tags to categorize your Amazon Web Services resources in different ways, for example, by purpose, owner, or environment. For more information, see Tagging Amazon Web Services Resources.
KmsKeyId	The Amazon Resource Name (ARN) of a Amazon Web Services Key Management Service key that SageMaker uses to encrypt data on the storage volume attached to the ML compute instance that hosts the endpoint. The KmsKeyId can be any of the following formats: Key ID: ⁠1234abcd-12ab-34cd-56ef-1234567890ab⁠ Key ARN: ⁠arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab⁠ Alias name: alias/ExampleAlias Alias name ARN: arn:aws:kms:us-west-2:111122223333:alias/ExampleAlias The KMS key policy must grant permission to the IAM role that you specify in your create_endpoint, update_endpoint requests. For more information, refer to the Amazon Web Services Key Management Service section Using Key Policies in Amazon Web Services KMS Certain Nitro-based instances include local storage, dependent on the instance type. Local storage volumes are encrypted using a hardware module on the instance. You can't request a KmsKeyId when using an instance type with local storage. If any of the models that you specify in the ProductionVariants parameter use nitro-based instances with local storage, do not specify a value for the KmsKeyId parameter. If you specify a value for KmsKeyId when using any nitro-based instances with local storage, the call to create_endpoint_config fails. For a list of instance types that support local instance storage, see Instance Store Volumes. For more information about local instance storage encryption, see SSD Instance Store Volumes.
AsyncInferenceConfig	Specifies configuration for how an endpoint performs asynchronous inference. This is a required field in order for your Endpoint to be invoked using InvokeEndpointAsync.
ExplainerConfig	A member of create_endpoint_config that enables explainers.
ShadowProductionVariants	An array of ProductionVariant objects, one for each model that you want to host at this endpoint in shadow mode with production traffic replicated from the model specified on ProductionVariants. If you use this field, you can only specify one variant for ProductionVariants and one variant for ShadowProductionVariants.
ExecutionRoleArn	The Amazon Resource Name (ARN) of an IAM role that Amazon SageMaker AI can assume to perform actions on your behalf. For more information, see SageMaker AI Roles. To be able to pass this role to Amazon SageMaker AI, the caller of this action must have the iam:PassRole permission.
VpcConfig
EnableNetworkIsolation	Sets whether all model containers deployed to the endpoint are isolated. If they are, no inbound or outbound network calls can be made to or from the model containers.

Value

A list with the following syntax:

list(
  EndpointConfigArn = "string"
)

Request syntax

svc$create_endpoint_config(
  EndpointConfigName = "string",
  ProductionVariants = list(
    list(
      VariantName = "string",
      ModelName = "string",
      InitialInstanceCount = 123,
      InstanceType = "ml.t2.medium"|"ml.t2.large"|"ml.t2.xlarge"|"ml.t2.2xlarge"|"ml.m4.xlarge"|"ml.m4.2xlarge"|"ml.m4.4xlarge"|"ml.m4.10xlarge"|"ml.m4.16xlarge"|"ml.m5.large"|"ml.m5.xlarge"|"ml.m5.2xlarge"|"ml.m5.4xlarge"|"ml.m5.12xlarge"|"ml.m5.24xlarge"|"ml.m5d.large"|"ml.m5d.xlarge"|"ml.m5d.2xlarge"|"ml.m5d.4xlarge"|"ml.m5d.12xlarge"|"ml.m5d.24xlarge"|"ml.c4.large"|"ml.c4.xlarge"|"ml.c4.2xlarge"|"ml.c4.4xlarge"|"ml.c4.8xlarge"|"ml.p2.xlarge"|"ml.p2.8xlarge"|"ml.p2.16xlarge"|"ml.p3.2xlarge"|"ml.p3.8xlarge"|"ml.p3.16xlarge"|"ml.c5.large"|"ml.c5.xlarge"|"ml.c5.2xlarge"|"ml.c5.4xlarge"|"ml.c5.9xlarge"|"ml.c5.18xlarge"|"ml.c5d.large"|"ml.c5d.xlarge"|"ml.c5d.2xlarge"|"ml.c5d.4xlarge"|"ml.c5d.9xlarge"|"ml.c5d.18xlarge"|"ml.g4dn.xlarge"|"ml.g4dn.2xlarge"|"ml.g4dn.4xlarge"|"ml.g4dn.8xlarge"|"ml.g4dn.12xlarge"|"ml.g4dn.16xlarge"|"ml.r5.large"|"ml.r5.xlarge"|"ml.r5.2xlarge"|"ml.r5.4xlarge"|"ml.r5.12xlarge"|"ml.r5.24xlarge"|"ml.r5d.large"|"ml.r5d.xlarge"|"ml.r5d.2xlarge"|"ml.r5d.4xlarge"|"ml.r5d.12xlarge"|"ml.r5d.24xlarge"|"ml.inf1.xlarge"|"ml.inf1.2xlarge"|"ml.inf1.6xlarge"|"ml.inf1.24xlarge"|"ml.dl1.24xlarge"|"ml.c6i.large"|"ml.c6i.xlarge"|"ml.c6i.2xlarge"|"ml.c6i.4xlarge"|"ml.c6i.8xlarge"|"ml.c6i.12xlarge"|"ml.c6i.16xlarge"|"ml.c6i.24xlarge"|"ml.c6i.32xlarge"|"ml.m6i.large"|"ml.m6i.xlarge"|"ml.m6i.2xlarge"|"ml.m6i.4xlarge"|"ml.m6i.8xlarge"|"ml.m6i.12xlarge"|"ml.m6i.16xlarge"|"ml.m6i.24xlarge"|"ml.m6i.32xlarge"|"ml.r6i.large"|"ml.r6i.xlarge"|"ml.r6i.2xlarge"|"ml.r6i.4xlarge"|"ml.r6i.8xlarge"|"ml.r6i.12xlarge"|"ml.r6i.16xlarge"|"ml.r6i.24xlarge"|"ml.r6i.32xlarge"|"ml.g5.xlarge"|"ml.g5.2xlarge"|"ml.g5.4xlarge"|"ml.g5.8xlarge"|"ml.g5.12xlarge"|"ml.g5.16xlarge"|"ml.g5.24xlarge"|"ml.g5.48xlarge"|"ml.g6.xlarge"|"ml.g6.2xlarge"|"ml.g6.4xlarge"|"ml.g6.8xlarge"|"ml.g6.12xlarge"|"ml.g6.16xlarge"|"ml.g6.24xlarge"|"ml.g6.48xlarge"|"ml.r8g.medium"|"ml.r8g.large"|"ml.r8g.xlarge"|"ml.r8g.2xlarge"|"ml.r8g.4xlarge"|"ml.r8g.8xlarge"|"ml.r8g.12xlarge"|"ml.r8g.16xlarge"|"ml.r8g.24xlarge"|"ml.r8g.48xlarge"|"ml.g6e.xlarge"|"ml.g6e.2xlarge"|"ml.g6e.4xlarge"|"ml.g6e.8xlarge"|"ml.g6e.12xlarge"|"ml.g6e.16xlarge"|"ml.g6e.24xlarge"|"ml.g6e.48xlarge"|"ml.p4d.24xlarge"|"ml.c7g.large"|"ml.c7g.xlarge"|"ml.c7g.2xlarge"|"ml.c7g.4xlarge"|"ml.c7g.8xlarge"|"ml.c7g.12xlarge"|"ml.c7g.16xlarge"|"ml.m6g.large"|"ml.m6g.xlarge"|"ml.m6g.2xlarge"|"ml.m6g.4xlarge"|"ml.m6g.8xlarge"|"ml.m6g.12xlarge"|"ml.m6g.16xlarge"|"ml.m6gd.large"|"ml.m6gd.xlarge"|"ml.m6gd.2xlarge"|"ml.m6gd.4xlarge"|"ml.m6gd.8xlarge"|"ml.m6gd.12xlarge"|"ml.m6gd.16xlarge"|"ml.c6g.large"|"ml.c6g.xlarge"|"ml.c6g.2xlarge"|"ml.c6g.4xlarge"|"ml.c6g.8xlarge"|"ml.c6g.12xlarge"|"ml.c6g.16xlarge"|"ml.c6gd.large"|"ml.c6gd.xlarge"|"ml.c6gd.2xlarge"|"ml.c6gd.4xlarge"|"ml.c6gd.8xlarge"|"ml.c6gd.12xlarge"|"ml.c6gd.16xlarge"|"ml.c6gn.large"|"ml.c6gn.xlarge"|"ml.c6gn.2xlarge"|"ml.c6gn.4xlarge"|"ml.c6gn.8xlarge"|"ml.c6gn.12xlarge"|"ml.c6gn.16xlarge"|"ml.r6g.large"|"ml.r6g.xlarge"|"ml.r6g.2xlarge"|"ml.r6g.4xlarge"|"ml.r6g.8xlarge"|"ml.r6g.12xlarge"|"ml.r6g.16xlarge"|"ml.r6gd.large"|"ml.r6gd.xlarge"|"ml.r6gd.2xlarge"|"ml.r6gd.4xlarge"|"ml.r6gd.8xlarge"|"ml.r6gd.12xlarge"|"ml.r6gd.16xlarge"|"ml.p4de.24xlarge"|"ml.trn1.2xlarge"|"ml.trn1.32xlarge"|"ml.trn1n.32xlarge"|"ml.trn2.48xlarge"|"ml.inf2.xlarge"|"ml.inf2.8xlarge"|"ml.inf2.24xlarge"|"ml.inf2.48xlarge"|"ml.p5.48xlarge"|"ml.p5e.48xlarge"|"ml.p5en.48xlarge"|"ml.m7i.large"|"ml.m7i.xlarge"|"ml.m7i.2xlarge"|"ml.m7i.4xlarge"|"ml.m7i.8xlarge"|"ml.m7i.12xlarge"|"ml.m7i.16xlarge"|"ml.m7i.24xlarge"|"ml.m7i.48xlarge"|"ml.c7i.large"|"ml.c7i.xlarge"|"ml.c7i.2xlarge"|"ml.c7i.4xlarge"|"ml.c7i.8xlarge"|"ml.c7i.12xlarge"|"ml.c7i.16xlarge"|"ml.c7i.24xlarge"|"ml.c7i.48xlarge"|"ml.r7i.large"|"ml.r7i.xlarge"|"ml.r7i.2xlarge"|"ml.r7i.4xlarge"|"ml.r7i.8xlarge"|"ml.r7i.12xlarge"|"ml.r7i.16xlarge"|"ml.r7i.24xlarge"|"ml.r7i.48xlarge",
      InitialVariantWeight = 123.0,
      AcceleratorType = "ml.eia1.medium"|"ml.eia1.large"|"ml.eia1.xlarge"|"ml.eia2.medium"|"ml.eia2.large"|"ml.eia2.xlarge",
      CoreDumpConfig = list(
        DestinationS3Uri = "string",
        KmsKeyId = "string"
      ),
      ServerlessConfig = list(
        MemorySizeInMB = 123,
        MaxConcurrency = 123,
        ProvisionedConcurrency = 123
      ),
      VolumeSizeInGB = 123,
      ModelDataDownloadTimeoutInSeconds = 123,
      ContainerStartupHealthCheckTimeoutInSeconds = 123,
      EnableSSMAccess = TRUE|FALSE,
      ManagedInstanceScaling = list(
        Status = "ENABLED"|"DISABLED",
        MinInstanceCount = 123,
        MaxInstanceCount = 123
      ),
      RoutingConfig = list(
        RoutingStrategy = "LEAST_OUTSTANDING_REQUESTS"|"RANDOM"
      ),
      InferenceAmiVersion = "al2-ami-sagemaker-inference-gpu-2"|"al2-ami-sagemaker-inference-gpu-2-1"|"al2-ami-sagemaker-inference-gpu-3-1"
    )
  ),
  DataCaptureConfig = list(
    EnableCapture = TRUE|FALSE,
    InitialSamplingPercentage = 123,
    DestinationS3Uri = "string",
    KmsKeyId = "string",
    CaptureOptions = list(
      list(
        CaptureMode = "Input"|"Output"|"InputAndOutput"
      )
    ),
    CaptureContentTypeHeader = list(
      CsvContentTypes = list(
        "string"
      ),
      JsonContentTypes = list(
        "string"
      )
    )
  ),
  Tags = list(
    list(
      Key = "string",
      Value = "string"
    )
  ),
  KmsKeyId = "string",
  AsyncInferenceConfig = list(
    ClientConfig = list(
      MaxConcurrentInvocationsPerInstance = 123
    ),
    OutputConfig = list(
      KmsKeyId = "string",
      S3OutputPath = "string",
      NotificationConfig = list(
        SuccessTopic = "string",
        ErrorTopic = "string",
        IncludeInferenceResponseIn = list(
          "SUCCESS_NOTIFICATION_TOPIC"|"ERROR_NOTIFICATION_TOPIC"
        )
      ),
      S3FailurePath = "string"
    )
  ),
  ExplainerConfig = list(
    ClarifyExplainerConfig = list(
      EnableExplanations = "string",
      InferenceConfig = list(
        FeaturesAttribute = "string",
        ContentTemplate = "string",
        MaxRecordCount = 123,
        MaxPayloadInMB = 123,
        ProbabilityIndex = 123,
        LabelIndex = 123,
        ProbabilityAttribute = "string",
        LabelAttribute = "string",
        LabelHeaders = list(
          "string"
        ),
        FeatureHeaders = list(
          "string"
        ),
        FeatureTypes = list(
          "numerical"|"categorical"|"text"
        )
      ),
      ShapConfig = list(
        ShapBaselineConfig = list(
          MimeType = "string",
          ShapBaseline = "string",
          ShapBaselineUri = "string"
        ),
        NumberOfSamples = 123,
        UseLogit = TRUE|FALSE,
        Seed = 123,
        TextConfig = list(
          Language = "af"|"sq"|"ar"|"hy"|"eu"|"bn"|"bg"|"ca"|"zh"|"hr"|"cs"|"da"|"nl"|"en"|"et"|"fi"|"fr"|"de"|"el"|"gu"|"he"|"hi"|"hu"|"is"|"id"|"ga"|"it"|"kn"|"ky"|"lv"|"lt"|"lb"|"mk"|"ml"|"mr"|"ne"|"nb"|"fa"|"pl"|"pt"|"ro"|"ru"|"sa"|"sr"|"tn"|"si"|"sk"|"sl"|"es"|"sv"|"tl"|"ta"|"tt"|"te"|"tr"|"uk"|"ur"|"yo"|"lij"|"xx",
          Granularity = "token"|"sentence"|"paragraph"
        )
      )
    )
  ),
  ShadowProductionVariants = list(
    list(
      VariantName = "string",
      ModelName = "string",
      InitialInstanceCount = 123,
      InstanceType = "ml.t2.medium"|"ml.t2.large"|"ml.t2.xlarge"|"ml.t2.2xlarge"|"ml.m4.xlarge"|"ml.m4.2xlarge"|"ml.m4.4xlarge"|"ml.m4.10xlarge"|"ml.m4.16xlarge"|"ml.m5.large"|"ml.m5.xlarge"|"ml.m5.2xlarge"|"ml.m5.4xlarge"|"ml.m5.12xlarge"|"ml.m5.24xlarge"|"ml.m5d.large"|"ml.m5d.xlarge"|"ml.m5d.2xlarge"|"ml.m5d.4xlarge"|"ml.m5d.12xlarge"|"ml.m5d.24xlarge"|"ml.c4.large"|"ml.c4.xlarge"|"ml.c4.2xlarge"|"ml.c4.4xlarge"|"ml.c4.8xlarge"|"ml.p2.xlarge"|"ml.p2.8xlarge"|"ml.p2.16xlarge"|"ml.p3.2xlarge"|"ml.p3.8xlarge"|"ml.p3.16xlarge"|"ml.c5.large"|"ml.c5.xlarge"|"ml.c5.2xlarge"|"ml.c5.4xlarge"|"ml.c5.9xlarge"|"ml.c5.18xlarge"|"ml.c5d.large"|"ml.c5d.xlarge"|"ml.c5d.2xlarge"|"ml.c5d.4xlarge"|"ml.c5d.9xlarge"|"ml.c5d.18xlarge"|"ml.g4dn.xlarge"|"ml.g4dn.2xlarge"|"ml.g4dn.4xlarge"|"ml.g4dn.8xlarge"|"ml.g4dn.12xlarge"|"ml.g4dn.16xlarge"|"ml.r5.large"|"ml.r5.xlarge"|"ml.r5.2xlarge"|"ml.r5.4xlarge"|"ml.r5.12xlarge"|"ml.r5.24xlarge"|"ml.r5d.large"|"ml.r5d.xlarge"|"ml.r5d.2xlarge"|"ml.r5d.4xlarge"|"ml.r5d.12xlarge"|"ml.r5d.24xlarge"|"ml.inf1.xlarge"|"ml.inf1.2xlarge"|"ml.inf1.6xlarge"|"ml.inf1.24xlarge"|"ml.dl1.24xlarge"|"ml.c6i.large"|"ml.c6i.xlarge"|"ml.c6i.2xlarge"|"ml.c6i.4xlarge"|"ml.c6i.8xlarge"|"ml.c6i.12xlarge"|"ml.c6i.16xlarge"|"ml.c6i.24xlarge"|"ml.c6i.32xlarge"|"ml.m6i.large"|"ml.m6i.xlarge"|"ml.m6i.2xlarge"|"ml.m6i.4xlarge"|"ml.m6i.8xlarge"|"ml.m6i.12xlarge"|"ml.m6i.16xlarge"|"ml.m6i.24xlarge"|"ml.m6i.32xlarge"|"ml.r6i.large"|"ml.r6i.xlarge"|"ml.r6i.2xlarge"|"ml.r6i.4xlarge"|"ml.r6i.8xlarge"|"ml.r6i.12xlarge"|"ml.r6i.16xlarge"|"ml.r6i.24xlarge"|"ml.r6i.32xlarge"|"ml.g5.xlarge"|"ml.g5.2xlarge"|"ml.g5.4xlarge"|"ml.g5.8xlarge"|"ml.g5.12xlarge"|"ml.g5.16xlarge"|"ml.g5.24xlarge"|"ml.g5.48xlarge"|"ml.g6.xlarge"|"ml.g6.2xlarge"|"ml.g6.4xlarge"|"ml.g6.8xlarge"|"ml.g6.12xlarge"|"ml.g6.16xlarge"|"ml.g6.24xlarge"|"ml.g6.48xlarge"|"ml.r8g.medium"|"ml.r8g.large"|"ml.r8g.xlarge"|"ml.r8g.2xlarge"|"ml.r8g.4xlarge"|"ml.r8g.8xlarge"|"ml.r8g.12xlarge"|"ml.r8g.16xlarge"|"ml.r8g.24xlarge"|"ml.r8g.48xlarge"|"ml.g6e.xlarge"|"ml.g6e.2xlarge"|"ml.g6e.4xlarge"|"ml.g6e.8xlarge"|"ml.g6e.12xlarge"|"ml.g6e.16xlarge"|"ml.g6e.24xlarge"|"ml.g6e.48xlarge"|"ml.p4d.24xlarge"|"ml.c7g.large"|"ml.c7g.xlarge"|"ml.c7g.2xlarge"|"ml.c7g.4xlarge"|"ml.c7g.8xlarge"|"ml.c7g.12xlarge"|"ml.c7g.16xlarge"|"ml.m6g.large"|"ml.m6g.xlarge"|"ml.m6g.2xlarge"|"ml.m6g.4xlarge"|"ml.m6g.8xlarge"|"ml.m6g.12xlarge"|"ml.m6g.16xlarge"|"ml.m6gd.large"|"ml.m6gd.xlarge"|"ml.m6gd.2xlarge"|"ml.m6gd.4xlarge"|"ml.m6gd.8xlarge"|"ml.m6gd.12xlarge"|"ml.m6gd.16xlarge"|"ml.c6g.large"|"ml.c6g.xlarge"|"ml.c6g.2xlarge"|"ml.c6g.4xlarge"|"ml.c6g.8xlarge"|"ml.c6g.12xlarge"|"ml.c6g.16xlarge"|"ml.c6gd.large"|"ml.c6gd.xlarge"|"ml.c6gd.2xlarge"|"ml.c6gd.4xlarge"|"ml.c6gd.8xlarge"|"ml.c6gd.12xlarge"|"ml.c6gd.16xlarge"|"ml.c6gn.large"|"ml.c6gn.xlarge"|"ml.c6gn.2xlarge"|"ml.c6gn.4xlarge"|"ml.c6gn.8xlarge"|"ml.c6gn.12xlarge"|"ml.c6gn.16xlarge"|"ml.r6g.large"|"ml.r6g.xlarge"|"ml.r6g.2xlarge"|"ml.r6g.4xlarge"|"ml.r6g.8xlarge"|"ml.r6g.12xlarge"|"ml.r6g.16xlarge"|"ml.r6gd.large"|"ml.r6gd.xlarge"|"ml.r6gd.2xlarge"|"ml.r6gd.4xlarge"|"ml.r6gd.8xlarge"|"ml.r6gd.12xlarge"|"ml.r6gd.16xlarge"|"ml.p4de.24xlarge"|"ml.trn1.2xlarge"|"ml.trn1.32xlarge"|"ml.trn1n.32xlarge"|"ml.trn2.48xlarge"|"ml.inf2.xlarge"|"ml.inf2.8xlarge"|"ml.inf2.24xlarge"|"ml.inf2.48xlarge"|"ml.p5.48xlarge"|"ml.p5e.48xlarge"|"ml.p5en.48xlarge"|"ml.m7i.large"|"ml.m7i.xlarge"|"ml.m7i.2xlarge"|"ml.m7i.4xlarge"|"ml.m7i.8xlarge"|"ml.m7i.12xlarge"|"ml.m7i.16xlarge"|"ml.m7i.24xlarge"|"ml.m7i.48xlarge"|"ml.c7i.large"|"ml.c7i.xlarge"|"ml.c7i.2xlarge"|"ml.c7i.4xlarge"|"ml.c7i.8xlarge"|"ml.c7i.12xlarge"|"ml.c7i.16xlarge"|"ml.c7i.24xlarge"|"ml.c7i.48xlarge"|"ml.r7i.large"|"ml.r7i.xlarge"|"ml.r7i.2xlarge"|"ml.r7i.4xlarge"|"ml.r7i.8xlarge"|"ml.r7i.12xlarge"|"ml.r7i.16xlarge"|"ml.r7i.24xlarge"|"ml.r7i.48xlarge",
      InitialVariantWeight = 123.0,
      AcceleratorType = "ml.eia1.medium"|"ml.eia1.large"|"ml.eia1.xlarge"|"ml.eia2.medium"|"ml.eia2.large"|"ml.eia2.xlarge",
      CoreDumpConfig = list(
        DestinationS3Uri = "string",
        KmsKeyId = "string"
      ),
      ServerlessConfig = list(
        MemorySizeInMB = 123,
        MaxConcurrency = 123,
        ProvisionedConcurrency = 123
      ),
      VolumeSizeInGB = 123,
      ModelDataDownloadTimeoutInSeconds = 123,
      ContainerStartupHealthCheckTimeoutInSeconds = 123,
      EnableSSMAccess = TRUE|FALSE,
      ManagedInstanceScaling = list(
        Status = "ENABLED"|"DISABLED",
        MinInstanceCount = 123,
        MaxInstanceCount = 123
      ),
      RoutingConfig = list(
        RoutingStrategy = "LEAST_OUTSTANDING_REQUESTS"|"RANDOM"
      ),
      InferenceAmiVersion = "al2-ami-sagemaker-inference-gpu-2"|"al2-ami-sagemaker-inference-gpu-2-1"|"al2-ami-sagemaker-inference-gpu-3-1"
    )
  ),
  ExecutionRoleArn = "string",
  VpcConfig = list(
    SecurityGroupIds = list(
      "string"
    ),
    Subnets = list(
      "string"
    )
  ),
  EnableNetworkIsolation = TRUE|FALSE
)