What is the purpose of Amazon SageMaker Model Cards?

The purpose of Amazon SageMaker Model Cards is to document key details about machine learning models. This includes important information such as the model's intended use cases, training data, evaluation metrics, performance across various demographics, and any ethical considerations. By providing this comprehensive documentation, Model Cards help organizations to ensure transparency and accountability in the deployment of machine learning models. This is particularly vital in understanding the model's performance and limitations in different scenarios, thus enabling responsible AI practices.

In contrast, the other options do not accurately describe the function of Model Cards. User manuals for AWS services are separate documentation meant for guiding users on service usage. The idea that Model Cards only host machine learning models overlooks their primary role as a documentation tool rather than a deployment platform. Lastly, while testing models is part of the machine learning lifecycle, Model Cards are not designed to serve as databases for this purpose; they focus on documenting rather than testing.