色控传媒

Data often gets trapped in complex infrastructures and scattered silos, ranging from data warehouses and data lakes to disparate storage systems. While each silo serves its original purpose well, they become obstacles for AI models and remain inaccessible to AI clusters.?

In this fast-paced, demo-rich talk, we’ll explore how to break down these silos, unify data, and speed up data pipelines, for faster time to science and faster AI results.

Join us as our experts discuss:

• Unified ingestion of data for faster AI results
• CPU vs. GPU pipeline processing comparison
• Optimized commands for parallel processing