Speaker: Onur Satici
Staff Engineer @SpiralDB
Onur is a Staff Engineer at SpiralDB and a core maintainer of Vortex, an open source columnar file format now part of the Linux Foundation (LF AI & Data). He focuses on high-performance data systems, GPU acceleration, and making analytical workloads faster at every layer of the stack.
Session
From S3 to GPU in One Copy: Rethinking Data Loading for ML Training
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.
Date
Tuesday Mar 17 / 01:35PM GMT ( 50 minutes )
Location
Fleming (3rd Fl.)
