InferenceComponentSpecificationSummary
Details about the resources that are deployed with this inference component.
Contents
- BaseInferenceComponentName
-
The name of the base inference component that contains this inference component.
Type: String
Length Constraints: Minimum length of 0. Maximum length of 63.
Pattern:
[a-zA-Z0-9]([\-a-zA-Z0-9]*[a-zA-Z0-9])?Required: No
- ComputeResourceRequirements
-
The compute resources allocated to run the model, plus any adapter models, that you assign to the inference component.
Type: InferenceComponentComputeResourceRequirements object
Required: No
- Container
-
Details about the container that provides the runtime environment for the model that is deployed with the inference component.
Type: InferenceComponentContainerSpecificationSummary object
Required: No
- DataCacheConfig
-
Settings that affect how the inference component caches data.
Type: InferenceComponentDataCacheConfigSummary object
Required: No
- ModelName
-
The name of the SageMaker AI model object that is deployed with the inference component.
Type: String
Length Constraints: Minimum length of 0. Maximum length of 63.
Pattern:
[a-zA-Z0-9]([\-a-zA-Z0-9]*[a-zA-Z0-9])?Required: No
- StartupParameters
-
Settings that take effect while the model container starts up.
Type: InferenceComponentStartupParameters object
Required: No
See Also
For more information about using this API in one of the language-specific AWS SDKs, see the following:
