Which service can support real-time predictions directly from a trained model?

Amazon SageMaker is the appropriate choice as it provides a comprehensive service for building, training, and deploying machine learning models at scale. Specifically, SageMaker offers capabilities for deploying a trained model to production, allowing users to create an endpoint for real-time predictions. This means that once a model is trained, it can be used to make predictions on new data in real-time, which is essential for applications that require immediate responses, such as fraud detection or personalized recommendations.

In addition to real-time predictions, SageMaker also supports batch predictions, but the key feature here is its ability to serve requests for predictions as they come in. The seamless integration of development, training, and deployment processes in SageMaker simplifies the end-to-end machine learning workflow, making it a popular choice for many data science teams.

The other options, while valuable in their own rights, cater to different aspects of machine learning or data processing. Amazon Forecast, for example, is specialized in time series forecasting and may not provide the real-time prediction capabilities directly from a trained model. Amazon Comprehend is focused on natural language processing tasks and doesn't directly provide real-time prediction for general machine learning models. Amazon Elastic Inference is designed to optimize the inference process by attaching GPU-enabled inference to instances but