Request Syntax Request Parameters Response Syntax Response Elements Errors See Also

UpdateInferenceComponent

Updates an inference component.

Request Syntax


{
   "InferenceComponentName": "string",
   "RuntimeConfig": { 
      "CopyCount": number
   },
   "Specification": { 
      "ComputeResourceRequirements": { 
         "MaxMemoryRequiredInMb": number,
         "MinMemoryRequiredInMb": number,
         "NumberOfAcceleratorDevicesRequired": number,
         "NumberOfCpuCoresRequired": number
      },
      "Container": { 
         "ArtifactUrl": "string",
         "Environment": { 
            "string" : "string" 
         },
         "Image": "string"
      },
      "ModelName": "string",
      "StartupParameters": { 
         "ContainerStartupHealthCheckTimeoutInSeconds": number,
         "ModelDataDownloadTimeoutInSeconds": number
      }
   }
}

Request Parameters

For information about the parameters that are common to all actions, see Common Parameters.

The request accepts the following data in JSON format.

InferenceComponentName

The name of the inference component.

Type: String

Length Constraints: Maximum length of 63.

Pattern: ^[a-zA-Z0-9]([\-a-zA-Z0-9]*[a-zA-Z0-9])?$

Required: Yes

RuntimeConfig

Runtime settings for a model that is deployed with an inference component.

Type: InferenceComponentRuntimeConfig object

Required: No

Specification

Details about the resources to deploy with this inference component, including the model, container, and compute resources.

Type: InferenceComponentSpecification object

Required: No

Response Syntax


{
   "InferenceComponentArn": "string"
}

Response Elements

If the action is successful, the service sends back an HTTP 200 response.

The following data is returned in JSON format by the service.

InferenceComponentArn

The Amazon Resource Name (ARN) of the inference component.

Type: String

Length Constraints: Minimum length of 20. Maximum length of 2048.

Errors

For information about the errors that are common to all actions, see Common Errors.

ResourceLimitExceeded

You have exceeded an SageMaker resource limit. For example, you might have too many training jobs created.

HTTP Status Code: 400