YouTube System Design for Robotics Data Infrastructure

YouTube engineers developed a scalable data infrastructure to manage petabyte-scale robotics datasets for training foundation models. The system optimizes high-throughput data ingestion and retrieval to support massive parallel training jobs across distributed GPU clusters. This architecture enables the efficient handling of diverse sensor modalities and high-frequency telemetry data required for robot learning.