A job search company has a recommender system that helps users find relevant job openings efficiently. The company uses a data pipeline that extracts input features from a Redshift cluster and saves it as CSV files in Amazon S3. The exported data is then fed into an Amazon SageMaker instance to make inferences. The company aims to lower inference costs and expedite the process of generating predictions. Which solution best meet the requirements?