https://www.infoq.com InfoQ CUDA Presentations feed https://www.infoq.com/presentations/vortex-columnar-file-format-gpu-streaming/?utm_campaign=infoq_content&utm_source=infoq&utm_medium=feed&utm_term=CUDA-presentations <img src="https://res.infoq.com/presentations/vortex-columnar-file-format-gpu-streaming/en/mediumimage/onur-satici-medium-1787813397611.jpeg"/><p>Onur Satici explains how Vortex, an open-source columnar file format under the Linux Foundation, revolutionizes high-throughput data loading. He details how cascading lightweight encodings, layout-based segment pruning, and zero-copy memory pipelines eliminate CPU/NVMe bottlenecks to stream S3 data straight to GPUs at speeds up to 60 Gbps without requiring upfront data reprocessing.</p> <i>By Onur Satici</i> Architecture Columnar Databases Data Lake GPU Machine Learning S3 Streaming Transcripts QCon London 2026 Data Pipelines CUDA Rust Performance AI, ML & Data Engineering Architecture & Design Development presentation Fri, 04 Sep 2026 11:00:00 GMT https://www.infoq.com/presentations/vortex-columnar-file-format-gpu-streaming/?utm_campaign=infoq_content&utm_source=infoq&utm_medium=feed&utm_term=CUDA-presentations Onur Satici 2026-09-04T11:00:00Z /presentations/vortex-columnar-file-format-gpu-streaming/en