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Creates a reusable AI workload configuration that defines datasets, data sources, and benchmark tool settings for consistent performance testing of generative AI inference deployments on Amazon SageMaker AI.
For .NET Core this operation is only available in asynchronous form. Please refer to CreateAIWorkloadConfigAsync.
Namespace: Amazon.SageMaker
Assembly: AWSSDK.SageMaker.dll
Version: 3.x.y.z
public virtual CreateAIWorkloadConfigResponse CreateAIWorkloadConfig( CreateAIWorkloadConfigRequest request )
Container for the necessary parameters to execute the CreateAIWorkloadConfig service method.
| Exception | Condition |
|---|---|
| ResourceInUseException | Resource being accessed is in use. |
| ResourceLimitExceededException | You have exceeded an SageMaker resource limit. For example, you might have too many training jobs created. |
.NET Framework:
Supported in: 4.7.2 and newer