Amazon SageMaker now supports batch ingestion for its Feature Store to eliminate the overhead of single-record API calls. Previously, high-throughput pipelines required one PutRecord call per feature group, creating massive connection bottlenecks. This update allows developers to write multiple records in a single request, increasing throughput for real-time inference pipelines.