CreateAIBenchmarkJobRequest ¶

class CreateAIBenchmarkJobRequest(TypedDict, closed=True):
    ai_benchmark_job_name: NotRequired[
        "capo_sagemaker.types.ai_entity_name.AIEntityName"
    ]
    """<p>The name of the AI benchmark job. The name must be unique within your Amazon Web Services account in the current Amazon Web Services Region.</p>"""
    benchmark_target: NotRequired[
        "capo_sagemaker.types.ai_benchmark_target.AIBenchmarkTarget"
    ]
    """<p>The target endpoint to benchmark. Specify a SageMaker endpoint by providing its name or Amazon Resource Name (ARN).</p>"""
    output_config: NotRequired[
        "capo_sagemaker.types.ai_benchmark_output_config.AIBenchmarkOutputConfig"
    ]
    """<p>The output configuration for the benchmark job, including the Amazon S3 location where benchmark results are stored.</p>"""
    ai_workload_config_identifier: NotRequired[
        "capo_sagemaker.types.ai_resource_identifier.AIResourceIdentifier"
    ]
    """<p>The name or Amazon Resource Name (ARN) of the AI workload configuration to use for this benchmark job.</p>"""
    role_arn: NotRequired["capo_sagemaker.types.role_arn.RoleArn"]
    """<p>The Amazon Resource Name (ARN) of an IAM role that enables Amazon SageMaker AI to perform tasks on your behalf.</p>"""
    network_config: NotRequired[
        "capo_sagemaker.types.ai_benchmark_network_config.AIBenchmarkNetworkConfig"
    ]
    """<p>The network configuration for the benchmark job, including VPC settings.</p>"""
    tags: NotRequired["capo_sagemaker.types.tag_list.TagList"]
    """<p>The metadata that you apply to Amazon Web Services resources to help you categorize and organize them. Each tag consists of a key and a value, both of which you define.</p>"""