How Meta Scaled AI Training Storage via Data Normalization | Sarang Masti and Weiran Liu from Meta

Fri, 19 Jun 2026 09:12:52 -0700

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.

Weiran Liu on TLDRecap ⏮️

How Meta Scaled AI Training Storage via Data Normalization | Sarang Masti and Weiran Liu from Meta

Unlocking Exabytes: How Meta Reimagined Training Data Storage for Next-Gen Recommender Systems 🚀