GPU
Session
Machine Learning Infrastructure
From S3 to GPU in One Copy: Rethinking Data Loading for ML Training
Tuesday Mar 17 / 11:45AM GMT
ML training pipelines treat data as static. Teams spend weeks preprocessing datasets into WebDataset or TFRecords, and when they want to experiment with curriculum learning or data mixing, they reprocess everything from scratch.
Onur Satici
Staff Engineer @SpiralDB & a Core Maintainer of Vortex (LF AI & Data), Previously Building Distributed Systems @Palantir