SageMaker Feature Store supports offline storage for training and online storage for real-time inference. Training and inference are very different use cases and the storage requirements are different for each. During training, models often use the complete data set and can take hours to complete, while inference needs to happen in milliseconds and usually uses a subset of the data. When used together, SageMaker Feature Store ensures that offline and online datasets remain in sync which is critical because if they diverge, it can negatively impact model accuracy.