How Meta Scaled AI Training Storage via Data Normalization | Sarang Masti and Weiran Liu from Meta
Presenters Sarang Masti Weiran Liu Source Scale AI and Data 2026 Unlocking Exabytes: How Meta Reimagined Training Data Storage for Next-Gen Recommender Systems 🚀 The world of recommender systems is hungry. Not just for better algorithms, but for data. Massive amounts of it. We’re talking exabytes – that’s a 1 followed by 18 zeros! At Meta, this insatiable appetite for training data has driven a monumental effort to scale their storage infrastructure. But as new data paradigms emerge, like the rich and complex “user sequences,” the old solutions simply buckle under the pressure. ...