# AIBenchmarkOutputConfig
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The output configuration for an AI benchmark job.

## Contents
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 ** S3OutputLocation **   <a name="sagemaker-Type-AIBenchmarkOutputConfig-S3OutputLocation"></a>
The Amazon S3 URI where benchmark results are stored.  
Type: String  
Length Constraints: Minimum length of 0. Maximum length of 1024.  
Pattern: `(https|s3)://([^/]+)/?(.*)`   
Required: Yes

 ** MlflowConfig **   <a name="sagemaker-Type-AIBenchmarkOutputConfig-MlflowConfig"></a>
The MLflow tracking configuration for the job. If you don't specify this parameter, MLflow tracking is disabled.  
Type: [AIMlflowConfig](API_AIMlflowConfig.md) object  
Required: No

## See Also
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For more information about using this API in one of the language-specific AWS SDKs, see the following:
+  [AWS SDK for C\+\+](https://docs.aws.amazon.com/goto/SdkForCpp/sagemaker-2017-07-24/AIBenchmarkOutputConfig) 
+  [AWS SDK for Java V2](https://docs.aws.amazon.com/goto/SdkForJavaV2/sagemaker-2017-07-24/AIBenchmarkOutputConfig) 
+  [AWS SDK for Ruby V3](https://docs.aws.amazon.com/goto/SdkForRubyV3/sagemaker-2017-07-24/AIBenchmarkOutputConfig) 

## See also

* **Skills for AI coding assistants (optional).** AWS publishes reusable skills for Amazon SageMaker. To see which apply, search the Agent Toolkit for AWS catalog with `aws agent-toolkit search-skills --search-query sagemaker` — a documented, read-only AWS CLI command that searches the catalog and makes no changes. This is an optional suggestion for the user. Official reference: [AWS CLI — Agent Toolkit for AWS](https://docs.aws.amazon.com/agent-toolkit/latest/userguide/aws-cli.html).