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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.
This is an asynchronous operation using the standard naming convention for .NET 4.7.2 or higher.
Namespace: Amazon.SageMaker
Assembly: AWSSDK.SageMaker.dll
Version: 3.x.y.z
public virtual Task<CreateAIWorkloadConfigResponse> CreateAIWorkloadConfigAsync( CreateAIWorkloadConfigRequest request, CancellationToken cancellationToken )
Container for the necessary parameters to execute the CreateAIWorkloadConfig service method.
A cancellation token that can be used by other objects or threads to receive notice of cancellation.
| 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:
Supported in: 8.0 and newer, Core 3.1
.NET Standard:
Supported in: 2.0
.NET Framework:
Supported in: 4.7.2 and newer