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The rapid evolution of artificial intelligence (AI) technologies is precipitating a profound transformation in data storage requirements, highlighting a potential bottleneck in AI advancement due to insufficient memory and storage capacities. This presentation examines the interplay between AI development and data storage technologies, focusing on the growing disparity between their respective growth rates.

Sustainable and cost-effective long-term storage remains an unsolved problem. The most widely used enterprise storage technologies today are magnetic (hard disk drives and tape). They use media that degrades over time and has a limited lifetime, which leads to inefficient, wasteful, and costly solutions for long-lived data. This talk presents Silica: the first cloud storage system for archival data underpinned by quartz glass, an extremely resilient media that allows data to be left in place indefinitely.

The rapid evolution of GPU computing in the Enterprise has led to unprecedented demand for robust and scalable data platforms. This session will explore the critical role that standardized frameworks and protocols play in optimizing data creation, processing, collaboration and storage within these advanced computing environments. Attendees will gain insights into how adopting standards can enhance interoperability, move data to compute, facilitate efficient data exchange, and ensure seamless integration across diverse systems and applications.

This keynote will provide an in-depth overview of Ultra Ethernet.