Class: Aws::SageMaker::Types::ProductionVariant
- Inherits:
-
Struct
- Object
- Struct
- Aws::SageMaker::Types::ProductionVariant
- Defined in:
- gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb
Overview
Identifies a model that you want to host and the resources chosen to deploy for hosting it. If you are deploying multiple models, tell SageMaker how to distribute traffic among the models by specifying variant weights. For more information on production variants, check Production variants.
Constant Summary collapse
- SENSITIVE =
[]
Instance Attribute Summary collapse
-
#accelerator_type ⇒ String
This parameter is no longer supported.
-
#container_startup_health_check_timeout_in_seconds ⇒ Integer
The timeout value, in seconds, for your inference container to pass health check by SageMaker Hosting.
-
#core_dump_config ⇒ Types::ProductionVariantCoreDumpConfig
Specifies configuration for a core dump from the model container when the process crashes.
-
#enable_ssm_access ⇒ Boolean
You can use this parameter to turn on native Amazon Web Services Systems Manager (SSM) access for a production variant behind an endpoint.
-
#inference_ami_version ⇒ String
Specifies an option from a collection of preconfigured Amazon Machine Image (AMI) images.
-
#initial_instance_count ⇒ Integer
Number of instances to launch initially.
-
#initial_variant_weight ⇒ Float
Determines initial traffic distribution among all of the models that you specify in the endpoint configuration.
-
#instance_type ⇒ String
The ML compute instance type.
-
#managed_instance_scaling ⇒ Types::ProductionVariantManagedInstanceScaling
Settings that control the range in the number of instances that the endpoint provisions as it scales up or down to accommodate traffic.
-
#model_data_download_timeout_in_seconds ⇒ Integer
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.
-
#model_name ⇒ String
The name of the model that you want to host.
-
#routing_config ⇒ Types::ProductionVariantRoutingConfig
Settings that control how the endpoint routes incoming traffic to the instances that the endpoint hosts.
-
#serverless_config ⇒ Types::ProductionVariantServerlessConfig
The serverless configuration for an endpoint.
-
#variant_name ⇒ String
The name of the production variant.
-
#volume_size_in_gb ⇒ Integer
The size, in GB, of the ML storage volume attached to individual inference instance associated with the production variant.
Instance Attribute Details
#accelerator_type ⇒ String
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.
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# File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 38974 class ProductionVariant < Struct.new( :variant_name, :model_name, :initial_instance_count, :instance_type, :initial_variant_weight, :accelerator_type, :core_dump_config, :serverless_config, :volume_size_in_gb, :model_data_download_timeout_in_seconds, :container_startup_health_check_timeout_in_seconds, :enable_ssm_access, :managed_instance_scaling, :routing_config, :inference_ami_version) SENSITIVE = [] include Aws::Structure end |
#container_startup_health_check_timeout_in_seconds ⇒ Integer
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.
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# File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 38974 class ProductionVariant < Struct.new( :variant_name, :model_name, :initial_instance_count, :instance_type, :initial_variant_weight, :accelerator_type, :core_dump_config, :serverless_config, :volume_size_in_gb, :model_data_download_timeout_in_seconds, :container_startup_health_check_timeout_in_seconds, :enable_ssm_access, :managed_instance_scaling, :routing_config, :inference_ami_version) SENSITIVE = [] include Aws::Structure end |
#core_dump_config ⇒ Types::ProductionVariantCoreDumpConfig
Specifies configuration for a core dump from the model container when the process crashes.
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# File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 38974 class ProductionVariant < Struct.new( :variant_name, :model_name, :initial_instance_count, :instance_type, :initial_variant_weight, :accelerator_type, :core_dump_config, :serverless_config, :volume_size_in_gb, :model_data_download_timeout_in_seconds, :container_startup_health_check_timeout_in_seconds, :enable_ssm_access, :managed_instance_scaling, :routing_config, :inference_ami_version) SENSITIVE = [] include Aws::Structure end |
#enable_ssm_access ⇒ Boolean
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
.
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# File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 38974 class ProductionVariant < Struct.new( :variant_name, :model_name, :initial_instance_count, :instance_type, :initial_variant_weight, :accelerator_type, :core_dump_config, :serverless_config, :volume_size_in_gb, :model_data_download_timeout_in_seconds, :container_startup_health_check_timeout_in_seconds, :enable_ssm_access, :managed_instance_scaling, :routing_config, :inference_ami_version) SENSITIVE = [] include Aws::Structure end |
#inference_ami_version ⇒ String
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: 535.54.03
CUDA driver version: 12.2
Supported instance types: ml.g4dn., ml.g5., ml.g6., ml.p3., ml.p4d., ml.p4de., ml.p5.*
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# File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 38974 class ProductionVariant < Struct.new( :variant_name, :model_name, :initial_instance_count, :instance_type, :initial_variant_weight, :accelerator_type, :core_dump_config, :serverless_config, :volume_size_in_gb, :model_data_download_timeout_in_seconds, :container_startup_health_check_timeout_in_seconds, :enable_ssm_access, :managed_instance_scaling, :routing_config, :inference_ami_version) SENSITIVE = [] include Aws::Structure end |
#initial_instance_count ⇒ Integer
Number of instances to launch initially.
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# File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 38974 class ProductionVariant < Struct.new( :variant_name, :model_name, :initial_instance_count, :instance_type, :initial_variant_weight, :accelerator_type, :core_dump_config, :serverless_config, :volume_size_in_gb, :model_data_download_timeout_in_seconds, :container_startup_health_check_timeout_in_seconds, :enable_ssm_access, :managed_instance_scaling, :routing_config, :inference_ami_version) SENSITIVE = [] include Aws::Structure end |
#initial_variant_weight ⇒ Float
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.
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# File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 38974 class ProductionVariant < Struct.new( :variant_name, :model_name, :initial_instance_count, :instance_type, :initial_variant_weight, :accelerator_type, :core_dump_config, :serverless_config, :volume_size_in_gb, :model_data_download_timeout_in_seconds, :container_startup_health_check_timeout_in_seconds, :enable_ssm_access, :managed_instance_scaling, :routing_config, :inference_ami_version) SENSITIVE = [] include Aws::Structure end |
#instance_type ⇒ String
The ML compute instance type.
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# File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 38974 class ProductionVariant < Struct.new( :variant_name, :model_name, :initial_instance_count, :instance_type, :initial_variant_weight, :accelerator_type, :core_dump_config, :serverless_config, :volume_size_in_gb, :model_data_download_timeout_in_seconds, :container_startup_health_check_timeout_in_seconds, :enable_ssm_access, :managed_instance_scaling, :routing_config, :inference_ami_version) SENSITIVE = [] include Aws::Structure end |
#managed_instance_scaling ⇒ Types::ProductionVariantManagedInstanceScaling
Settings that control the range in the number of instances that the endpoint provisions as it scales up or down to accommodate traffic.
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# File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 38974 class ProductionVariant < Struct.new( :variant_name, :model_name, :initial_instance_count, :instance_type, :initial_variant_weight, :accelerator_type, :core_dump_config, :serverless_config, :volume_size_in_gb, :model_data_download_timeout_in_seconds, :container_startup_health_check_timeout_in_seconds, :enable_ssm_access, :managed_instance_scaling, :routing_config, :inference_ami_version) SENSITIVE = [] include Aws::Structure end |
#model_data_download_timeout_in_seconds ⇒ Integer
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.
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# File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 38974 class ProductionVariant < Struct.new( :variant_name, :model_name, :initial_instance_count, :instance_type, :initial_variant_weight, :accelerator_type, :core_dump_config, :serverless_config, :volume_size_in_gb, :model_data_download_timeout_in_seconds, :container_startup_health_check_timeout_in_seconds, :enable_ssm_access, :managed_instance_scaling, :routing_config, :inference_ami_version) SENSITIVE = [] include Aws::Structure end |
#model_name ⇒ String
The name of the model that you want to host. This is the name that you specified when creating the model.
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# File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 38974 class ProductionVariant < Struct.new( :variant_name, :model_name, :initial_instance_count, :instance_type, :initial_variant_weight, :accelerator_type, :core_dump_config, :serverless_config, :volume_size_in_gb, :model_data_download_timeout_in_seconds, :container_startup_health_check_timeout_in_seconds, :enable_ssm_access, :managed_instance_scaling, :routing_config, :inference_ami_version) SENSITIVE = [] include Aws::Structure end |
#routing_config ⇒ Types::ProductionVariantRoutingConfig
Settings that control how the endpoint routes incoming traffic to the instances that the endpoint hosts.
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# File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 38974 class ProductionVariant < Struct.new( :variant_name, :model_name, :initial_instance_count, :instance_type, :initial_variant_weight, :accelerator_type, :core_dump_config, :serverless_config, :volume_size_in_gb, :model_data_download_timeout_in_seconds, :container_startup_health_check_timeout_in_seconds, :enable_ssm_access, :managed_instance_scaling, :routing_config, :inference_ami_version) SENSITIVE = [] include Aws::Structure end |
#serverless_config ⇒ Types::ProductionVariantServerlessConfig
The serverless configuration for an endpoint. Specifies a serverless endpoint configuration instead of an instance-based endpoint configuration.
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# File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 38974 class ProductionVariant < Struct.new( :variant_name, :model_name, :initial_instance_count, :instance_type, :initial_variant_weight, :accelerator_type, :core_dump_config, :serverless_config, :volume_size_in_gb, :model_data_download_timeout_in_seconds, :container_startup_health_check_timeout_in_seconds, :enable_ssm_access, :managed_instance_scaling, :routing_config, :inference_ami_version) SENSITIVE = [] include Aws::Structure end |
#variant_name ⇒ String
The name of the production variant.
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# File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 38974 class ProductionVariant < Struct.new( :variant_name, :model_name, :initial_instance_count, :instance_type, :initial_variant_weight, :accelerator_type, :core_dump_config, :serverless_config, :volume_size_in_gb, :model_data_download_timeout_in_seconds, :container_startup_health_check_timeout_in_seconds, :enable_ssm_access, :managed_instance_scaling, :routing_config, :inference_ami_version) SENSITIVE = [] include Aws::Structure end |
#volume_size_in_gb ⇒ Integer
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.
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# File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 38974 class ProductionVariant < Struct.new( :variant_name, :model_name, :initial_instance_count, :instance_type, :initial_variant_weight, :accelerator_type, :core_dump_config, :serverless_config, :volume_size_in_gb, :model_data_download_timeout_in_seconds, :container_startup_health_check_timeout_in_seconds, :enable_ssm_access, :managed_instance_scaling, :routing_config, :inference_ami_version) SENSITIVE = [] include Aws::Structure end |