World Model Data Pipeline

Training physical AI and robotics models requires trusted, scalable data infrastructure. This blog explores how Reka Labs built a production-grade AI data pipeline on AWS, using Ray for distributed processing to deliver full data lineage, auditability and quality control across petabytes of image and video data.

Key topics include:

• Building AI data pipelines at scale
• Training world models for physical AI
• Managing petabytes of image and video data
• Ensuring data lineage and auditability
• Improving data quality and governance
• Leveraging AWS and Ray for distributed processing
• Supporting trusted AI and robotics development

Download this blog to learn how Reka Labs uses AWS to build scalable, production-ready data infrastructure for physical AI and robotics.