Interface ProductionVariant.Builder
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- All Superinterfaces:
Buildable
,CopyableBuilder<ProductionVariant.Builder,ProductionVariant>
,SdkBuilder<ProductionVariant.Builder,ProductionVariant>
,SdkPojo
- Enclosing class:
- ProductionVariant
public static interface ProductionVariant.Builder extends SdkPojo, CopyableBuilder<ProductionVariant.Builder,ProductionVariant>
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Method Summary
All Methods Instance Methods Abstract Methods Default Methods Modifier and Type Method Description ProductionVariant.Builder
acceleratorType(String acceleratorType)
This parameter is no longer supported.ProductionVariant.Builder
acceleratorType(ProductionVariantAcceleratorType acceleratorType)
This parameter is no longer supported.ProductionVariant.Builder
containerStartupHealthCheckTimeoutInSeconds(Integer containerStartupHealthCheckTimeoutInSeconds)
The timeout value, in seconds, for your inference container to pass health check by SageMaker Hosting.default ProductionVariant.Builder
coreDumpConfig(Consumer<ProductionVariantCoreDumpConfig.Builder> coreDumpConfig)
Specifies configuration for a core dump from the model container when the process crashes.ProductionVariant.Builder
coreDumpConfig(ProductionVariantCoreDumpConfig coreDumpConfig)
Specifies configuration for a core dump from the model container when the process crashes.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.ProductionVariant.Builder
inferenceAmiVersion(String inferenceAmiVersion)
Specifies an option from a collection of preconfigured Amazon Machine Image (AMI) images.ProductionVariant.Builder
inferenceAmiVersion(ProductionVariantInferenceAmiVersion inferenceAmiVersion)
Specifies an option from a collection of preconfigured Amazon Machine Image (AMI) images.ProductionVariant.Builder
initialInstanceCount(Integer initialInstanceCount)
Number of instances to launch initially.ProductionVariant.Builder
initialVariantWeight(Float initialVariantWeight)
Determines initial traffic distribution among all of the models that you specify in the endpoint configuration.ProductionVariant.Builder
instanceType(String instanceType)
The ML compute instance type.ProductionVariant.Builder
instanceType(ProductionVariantInstanceType instanceType)
The ML compute instance type.default ProductionVariant.Builder
managedInstanceScaling(Consumer<ProductionVariantManagedInstanceScaling.Builder> managedInstanceScaling)
Settings that control the range in the number of instances that the endpoint provisions as it scales up or down to accommodate traffic.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.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.ProductionVariant.Builder
modelName(String modelName)
The name of the model that you want to host.default ProductionVariant.Builder
routingConfig(Consumer<ProductionVariantRoutingConfig.Builder> routingConfig)
Settings that control how the endpoint routes incoming traffic to the instances that the endpoint hosts.ProductionVariant.Builder
routingConfig(ProductionVariantRoutingConfig routingConfig)
Settings that control how the endpoint routes incoming traffic to the instances that the endpoint hosts.default ProductionVariant.Builder
serverlessConfig(Consumer<ProductionVariantServerlessConfig.Builder> serverlessConfig)
The serverless configuration for an endpoint.ProductionVariant.Builder
serverlessConfig(ProductionVariantServerlessConfig serverlessConfig)
The serverless configuration for an endpoint.ProductionVariant.Builder
variantName(String variantName)
The name of the production variant.ProductionVariant.Builder
volumeSizeInGB(Integer volumeSizeInGB)
The size, in GB, of the ML storage volume attached to individual inference instance associated with the production variant.-
Methods inherited from interface software.amazon.awssdk.utils.builder.CopyableBuilder
copy
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Methods inherited from interface software.amazon.awssdk.utils.builder.SdkBuilder
applyMutation, build
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Methods inherited from interface software.amazon.awssdk.core.SdkPojo
equalsBySdkFields, sdkFieldNameToField, sdkFields
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Method Detail
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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.
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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.
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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.
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instanceType
ProductionVariant.Builder instanceType(String instanceType)
The ML compute instance type.
- Parameters:
instanceType
- The ML compute instance type.- Returns:
- Returns a reference to this object so that method calls can be chained together.
- See Also:
ProductionVariantInstanceType
,ProductionVariantInstanceType
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instanceType
ProductionVariant.Builder instanceType(ProductionVariantInstanceType instanceType)
The ML compute instance type.
- Parameters:
instanceType
- The ML compute instance type.- Returns:
- Returns a reference to this object so that method calls can be chained together.
- See Also:
ProductionVariantInstanceType
,ProductionVariantInstanceType
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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 allVariantWeight
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 theVariantWeight
to the sum of allVariantWeight
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.
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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
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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
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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.
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coreDumpConfig
default ProductionVariant.Builder coreDumpConfig(Consumer<ProductionVariantCoreDumpConfig.Builder> coreDumpConfig)
Specifies configuration for a core dump from the model container when the process crashes.
This is a convenience method that creates an instance of theProductionVariantCoreDumpConfig.Builder
avoiding the need to create one manually viaProductionVariantCoreDumpConfig.builder()
.When the
Consumer
completes,SdkBuilder.build()
is called immediately and its result is passed tocoreDumpConfig(ProductionVariantCoreDumpConfig)
.- Parameters:
coreDumpConfig
- a consumer that will call methods onProductionVariantCoreDumpConfig.Builder
- Returns:
- Returns a reference to this object so that method calls can be chained together.
- See Also:
coreDumpConfig(ProductionVariantCoreDumpConfig)
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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.
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serverlessConfig
default ProductionVariant.Builder serverlessConfig(Consumer<ProductionVariantServerlessConfig.Builder> serverlessConfig)
The serverless configuration for an endpoint. Specifies a serverless endpoint configuration instead of an instance-based endpoint configuration.
This is a convenience method that creates an instance of theProductionVariantServerlessConfig.Builder
avoiding the need to create one manually viaProductionVariantServerlessConfig.builder()
.When the
Consumer
completes,SdkBuilder.build()
is called immediately and its result is passed toserverlessConfig(ProductionVariantServerlessConfig)
.- Parameters:
serverlessConfig
- a consumer that will call methods onProductionVariantServerlessConfig.Builder
- Returns:
- Returns a reference to this object so that method calls can be chained together.
- See Also:
serverlessConfig(ProductionVariantServerlessConfig)
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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.
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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.
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containerStartupHealthCheckTimeoutInSeconds
ProductionVariant.Builder containerStartupHealthCheckTimeoutInSeconds(Integer containerStartupHealthCheckTimeoutInSeconds)
The timeout value, in seconds, for your inference container to pass health check by SageMaker Hosting. For more information about health check, see How Your Container Should Respond to Health Check (Ping) Requests.
- Parameters:
containerStartupHealthCheckTimeoutInSeconds
- The timeout value, in seconds, for your inference container to pass health check by SageMaker Hosting. For more information about health check, see How Your Container Should Respond to Health Check (Ping) Requests.- Returns:
- Returns a reference to this object so that method calls can be chained together.
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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 callingUpdateEndpoint
.- Returns:
- Returns a reference to this object so that method calls can be chained together.
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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.
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managedInstanceScaling
default ProductionVariant.Builder managedInstanceScaling(Consumer<ProductionVariantManagedInstanceScaling.Builder> managedInstanceScaling)
Settings that control the range in the number of instances that the endpoint provisions as it scales up or down to accommodate traffic.
This is a convenience method that creates an instance of theProductionVariantManagedInstanceScaling.Builder
avoiding the need to create one manually viaProductionVariantManagedInstanceScaling.builder()
.When the
Consumer
completes,SdkBuilder.build()
is called immediately and its result is passed tomanagedInstanceScaling(ProductionVariantManagedInstanceScaling)
.- Parameters:
managedInstanceScaling
- a consumer that will call methods onProductionVariantManagedInstanceScaling.Builder
- Returns:
- Returns a reference to this object so that method calls can be chained together.
- See Also:
managedInstanceScaling(ProductionVariantManagedInstanceScaling)
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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.
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routingConfig
default ProductionVariant.Builder routingConfig(Consumer<ProductionVariantRoutingConfig.Builder> routingConfig)
Settings that control how the endpoint routes incoming traffic to the instances that the endpoint hosts.
This is a convenience method that creates an instance of theProductionVariantRoutingConfig.Builder
avoiding the need to create one manually viaProductionVariantRoutingConfig.builder()
.When the
Consumer
completes,SdkBuilder.build()
is called immediately and its result is passed toroutingConfig(ProductionVariantRoutingConfig)
.- Parameters:
routingConfig
- a consumer that will call methods onProductionVariantRoutingConfig.Builder
- Returns:
- Returns a reference to this object so that method calls can be chained together.
- See Also:
routingConfig(ProductionVariantRoutingConfig)
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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
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Accelerator: GPU
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NVIDIA driver version: 535
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CUDA version: 12.2
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- al2-ami-sagemaker-inference-gpu-2-1
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Accelerator: GPU
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NVIDIA driver version: 535
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CUDA version: 12.2
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NVIDIA Container Toolkit with disabled CUDA-compat mounting
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- al2-ami-sagemaker-inference-gpu-3-1
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Accelerator: GPU
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NVIDIA driver version: 550
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CUDA version: 12.4
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NVIDIA Container Toolkit with disabled CUDA-compat mounting
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- al2-ami-sagemaker-inference-neuron-2
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Accelerator: Inferentia2 and Trainium
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Neuron driver version: 2.19
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- 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
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-
Accelerator: GPU
-
NVIDIA driver version: 535
-
CUDA version: 12.2
-
- al2-ami-sagemaker-inference-gpu-2-1
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Accelerator: GPU
-
NVIDIA driver version: 535
-
CUDA version: 12.2
-
NVIDIA Container Toolkit with disabled CUDA-compat mounting
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- al2-ami-sagemaker-inference-gpu-3-1
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Accelerator: GPU
-
NVIDIA driver version: 550
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CUDA version: 12.4
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NVIDIA Container Toolkit with disabled CUDA-compat mounting
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- al2-ami-sagemaker-inference-neuron-2
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Accelerator: Inferentia2 and Trainium
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Neuron driver version: 2.19
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- Returns:
- Returns a reference to this object so that method calls can be chained together.
- See Also:
ProductionVariantInferenceAmiVersion
,ProductionVariantInferenceAmiVersion
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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
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