Interface ProductionVariant.Builder

    • Method Detail

      • variantName

        ProductionVariant.Builder variantName​(String variantName)

        The name of the production variant.

        Parameters:
        variantName - The name of the production variant.
        Returns:
        Returns a reference to this object so that method calls can be chained together.
      • modelName

        ProductionVariant.Builder modelName​(String modelName)

        The name of the model that you want to host. This is the name that you specified when creating the model.

        Parameters:
        modelName - The name of the model that you want to host. This is the name that you specified when creating the model.
        Returns:
        Returns a reference to this object so that method calls can be chained together.
      • initialInstanceCount

        ProductionVariant.Builder initialInstanceCount​(Integer initialInstanceCount)

        Number of instances to launch initially.

        Parameters:
        initialInstanceCount - Number of instances to launch initially.
        Returns:
        Returns a reference to this object so that method calls can be chained together.
      • initialVariantWeight

        ProductionVariant.Builder initialVariantWeight​(Float initialVariantWeight)

        Determines initial traffic distribution among all of the models that you specify in the endpoint configuration. The traffic to a production variant is determined by the ratio of the VariantWeight to the sum of all VariantWeight values across all ProductionVariants. If unspecified, it defaults to 1.0.

        Parameters:
        initialVariantWeight - Determines initial traffic distribution among all of the models that you specify in the endpoint configuration. The traffic to a production variant is determined by the ratio of the VariantWeight to the sum of all VariantWeight values across all ProductionVariants. If unspecified, it defaults to 1.0.
        Returns:
        Returns a reference to this object so that method calls can be chained together.
      • acceleratorType

        ProductionVariant.Builder acceleratorType​(String acceleratorType)

        This parameter is no longer supported. Elastic Inference (EI) is no longer available.

        This parameter was used to specify the size of the EI instance to use for the production variant.

        Parameters:
        acceleratorType - This parameter is no longer supported. Elastic Inference (EI) is no longer available.

        This parameter was used to specify the size of the EI instance to use for the production variant.

        Returns:
        Returns a reference to this object so that method calls can be chained together.
        See Also:
        ProductionVariantAcceleratorType, ProductionVariantAcceleratorType
      • acceleratorType

        ProductionVariant.Builder acceleratorType​(ProductionVariantAcceleratorType acceleratorType)

        This parameter is no longer supported. Elastic Inference (EI) is no longer available.

        This parameter was used to specify the size of the EI instance to use for the production variant.

        Parameters:
        acceleratorType - This parameter is no longer supported. Elastic Inference (EI) is no longer available.

        This parameter was used to specify the size of the EI instance to use for the production variant.

        Returns:
        Returns a reference to this object so that method calls can be chained together.
        See Also:
        ProductionVariantAcceleratorType, ProductionVariantAcceleratorType
      • coreDumpConfig

        ProductionVariant.Builder coreDumpConfig​(ProductionVariantCoreDumpConfig coreDumpConfig)

        Specifies configuration for a core dump from the model container when the process crashes.

        Parameters:
        coreDumpConfig - Specifies configuration for a core dump from the model container when the process crashes.
        Returns:
        Returns a reference to this object so that method calls can be chained together.
      • serverlessConfig

        ProductionVariant.Builder serverlessConfig​(ProductionVariantServerlessConfig serverlessConfig)

        The serverless configuration for an endpoint. Specifies a serverless endpoint configuration instead of an instance-based endpoint configuration.

        Parameters:
        serverlessConfig - The serverless configuration for an endpoint. Specifies a serverless endpoint configuration instead of an instance-based endpoint configuration.
        Returns:
        Returns a reference to this object so that method calls can be chained together.
      • volumeSizeInGB

        ProductionVariant.Builder volumeSizeInGB​(Integer volumeSizeInGB)

        The size, in GB, of the ML storage volume attached to individual inference instance associated with the production variant. Currently only Amazon EBS gp2 storage volumes are supported.

        Parameters:
        volumeSizeInGB - The size, in GB, of the ML storage volume attached to individual inference instance associated with the production variant. Currently only Amazon EBS gp2 storage volumes are supported.
        Returns:
        Returns a reference to this object so that method calls can be chained together.
      • modelDataDownloadTimeoutInSeconds

        ProductionVariant.Builder modelDataDownloadTimeoutInSeconds​(Integer modelDataDownloadTimeoutInSeconds)

        The timeout value, in seconds, to download and extract the model that you want to host from Amazon S3 to the individual inference instance associated with this production variant.

        Parameters:
        modelDataDownloadTimeoutInSeconds - The timeout value, in seconds, to download and extract the model that you want to host from Amazon S3 to the individual inference instance associated with this production variant.
        Returns:
        Returns a reference to this object so that method calls can be chained together.
      • enableSSMAccess

        ProductionVariant.Builder enableSSMAccess​(Boolean enableSSMAccess)

        You can use this parameter to turn on native Amazon Web Services Systems Manager (SSM) access for a production variant behind an endpoint. By default, SSM access is disabled for all production variants behind an endpoint. You can turn on or turn off SSM access for a production variant behind an existing endpoint by creating a new endpoint configuration and calling UpdateEndpoint.

        Parameters:
        enableSSMAccess - You can use this parameter to turn on native Amazon Web Services Systems Manager (SSM) access for a production variant behind an endpoint. By default, SSM access is disabled for all production variants behind an endpoint. You can turn on or turn off SSM access for a production variant behind an existing endpoint by creating a new endpoint configuration and calling UpdateEndpoint.
        Returns:
        Returns a reference to this object so that method calls can be chained together.
      • managedInstanceScaling

        ProductionVariant.Builder managedInstanceScaling​(ProductionVariantManagedInstanceScaling managedInstanceScaling)

        Settings that control the range in the number of instances that the endpoint provisions as it scales up or down to accommodate traffic.

        Parameters:
        managedInstanceScaling - Settings that control the range in the number of instances that the endpoint provisions as it scales up or down to accommodate traffic.
        Returns:
        Returns a reference to this object so that method calls can be chained together.
      • routingConfig

        ProductionVariant.Builder routingConfig​(ProductionVariantRoutingConfig routingConfig)

        Settings that control how the endpoint routes incoming traffic to the instances that the endpoint hosts.

        Parameters:
        routingConfig - Settings that control how the endpoint routes incoming traffic to the instances that the endpoint hosts.
        Returns:
        Returns a reference to this object so that method calls can be chained together.
      • inferenceAmiVersion

        ProductionVariant.Builder inferenceAmiVersion​(String inferenceAmiVersion)

        Specifies an option from a collection of preconfigured Amazon Machine Image (AMI) images. Each image is configured by Amazon Web Services with a set of software and driver versions. Amazon Web Services optimizes these configurations for different machine learning workloads.

        By selecting an AMI version, you can ensure that your inference environment is compatible with specific software requirements, such as CUDA driver versions, Linux kernel versions, or Amazon Web Services Neuron driver versions.

        The AMI version names, and their configurations, are the following:

        al2-ami-sagemaker-inference-gpu-2
        • Accelerator: GPU

        • NVIDIA driver version: 535

        • CUDA version: 12.2

        al2-ami-sagemaker-inference-gpu-2-1
        • Accelerator: GPU

        • NVIDIA driver version: 535

        • CUDA version: 12.2

        • NVIDIA Container Toolkit with disabled CUDA-compat mounting

        al2-ami-sagemaker-inference-gpu-3-1
        • Accelerator: GPU

        • NVIDIA driver version: 550

        • CUDA version: 12.4

        • NVIDIA Container Toolkit with disabled CUDA-compat mounting

        al2-ami-sagemaker-inference-neuron-2
        • Accelerator: Inferentia2 and Trainium

        • Neuron driver version: 2.19

        Parameters:
        inferenceAmiVersion - Specifies an option from a collection of preconfigured Amazon Machine Image (AMI) images. Each image is configured by Amazon Web Services with a set of software and driver versions. Amazon Web Services optimizes these configurations for different machine learning workloads.

        By selecting an AMI version, you can ensure that your inference environment is compatible with specific software requirements, such as CUDA driver versions, Linux kernel versions, or Amazon Web Services Neuron driver versions.

        The AMI version names, and their configurations, are the following:

        al2-ami-sagemaker-inference-gpu-2
        • Accelerator: GPU

        • NVIDIA driver version: 535

        • CUDA version: 12.2

        al2-ami-sagemaker-inference-gpu-2-1
        • Accelerator: GPU

        • NVIDIA driver version: 535

        • CUDA version: 12.2

        • NVIDIA Container Toolkit with disabled CUDA-compat mounting

        al2-ami-sagemaker-inference-gpu-3-1
        • Accelerator: GPU

        • NVIDIA driver version: 550

        • CUDA version: 12.4

        • NVIDIA Container Toolkit with disabled CUDA-compat mounting

        al2-ami-sagemaker-inference-neuron-2
        • Accelerator: Inferentia2 and Trainium

        • Neuron driver version: 2.19

        Returns:
        Returns a reference to this object so that method calls can be chained together.
        See Also:
        ProductionVariantInferenceAmiVersion, ProductionVariantInferenceAmiVersion
      • inferenceAmiVersion

        ProductionVariant.Builder inferenceAmiVersion​(ProductionVariantInferenceAmiVersion inferenceAmiVersion)

        Specifies an option from a collection of preconfigured Amazon Machine Image (AMI) images. Each image is configured by Amazon Web Services with a set of software and driver versions. Amazon Web Services optimizes these configurations for different machine learning workloads.

        By selecting an AMI version, you can ensure that your inference environment is compatible with specific software requirements, such as CUDA driver versions, Linux kernel versions, or Amazon Web Services Neuron driver versions.

        The AMI version names, and their configurations, are the following:

        al2-ami-sagemaker-inference-gpu-2
        • Accelerator: GPU

        • NVIDIA driver version: 535

        • CUDA version: 12.2

        al2-ami-sagemaker-inference-gpu-2-1
        • Accelerator: GPU

        • NVIDIA driver version: 535

        • CUDA version: 12.2

        • NVIDIA Container Toolkit with disabled CUDA-compat mounting

        al2-ami-sagemaker-inference-gpu-3-1
        • Accelerator: GPU

        • NVIDIA driver version: 550

        • CUDA version: 12.4

        • NVIDIA Container Toolkit with disabled CUDA-compat mounting

        al2-ami-sagemaker-inference-neuron-2
        • Accelerator: Inferentia2 and Trainium

        • Neuron driver version: 2.19

        Parameters:
        inferenceAmiVersion - Specifies an option from a collection of preconfigured Amazon Machine Image (AMI) images. Each image is configured by Amazon Web Services with a set of software and driver versions. Amazon Web Services optimizes these configurations for different machine learning workloads.

        By selecting an AMI version, you can ensure that your inference environment is compatible with specific software requirements, such as CUDA driver versions, Linux kernel versions, or Amazon Web Services Neuron driver versions.

        The AMI version names, and their configurations, are the following:

        al2-ami-sagemaker-inference-gpu-2
        • Accelerator: GPU

        • NVIDIA driver version: 535

        • CUDA version: 12.2

        al2-ami-sagemaker-inference-gpu-2-1
        • Accelerator: GPU

        • NVIDIA driver version: 535

        • CUDA version: 12.2

        • NVIDIA Container Toolkit with disabled CUDA-compat mounting

        al2-ami-sagemaker-inference-gpu-3-1
        • Accelerator: GPU

        • NVIDIA driver version: 550

        • CUDA version: 12.4

        • NVIDIA Container Toolkit with disabled CUDA-compat mounting

        al2-ami-sagemaker-inference-neuron-2
        • Accelerator: Inferentia2 and Trainium

        • Neuron driver version: 2.19

        Returns:
        Returns a reference to this object so that method calls can be chained together.
        See Also:
        ProductionVariantInferenceAmiVersion, ProductionVariantInferenceAmiVersion