Dyna Robotics details the million-hour infrastructure behind Dyna-2
Dyna Robotics published a technical report on the storage, ingestion and training-data systems used to train Dyna-2 on more than one million hours of egocentric video.
Why it matters
The report quantifies the data and systems engineering needed to make million-hour robot foundation-model training repeatable.
Evidence notes
- A new episode format with topic-group chunking reduced storage by about 68% and made sample reads approximately 2.9 times faster.
- An Airflow-based ingestion architecture increased throughput from 14,000 to 440,000 episode-hours per week, cutting million-hour processing from roughly 16 months to under three weeks.
- Warehouse-backed curation and memory-mapped tables reduced time to first training batch from about 48 hours to under one minute across a 43-million-episode dataset.
Company context
Seeded shell profile from scraped basics. Categories: Robotic Manipulation