Keynote Talk: Optimizing Storage Solutions for AI Applications

Abstract: As artificial intelligence (AI) applications become prevalent across various industries, the demands on storage systems to accommodate the unique needs of AI workloads are intensifying. This talk delves into the specialized storage solutions that are essential for supporting the high performance and scalability required by AI. We will explore how advanced storage technologies are being designed to handle large volumes of data, rapid data access, and efficient data processing—capabilities critical for training and deploying AI models effectively. The discussion will include an overview of the latest developments in high-throughput, low-latency storage systems, and techniques for optimizing data storage architectures to support complex AI workflows. We will examine practical implementations and the impact of these storage solutions on AI performance, showcasing how optimized storage is crucial for unleashing the full potential of AI technologies.

Dates

February 29 ,2024 March 11 ,2024

Abstract submission deadline

March 7 ,2024 March 18 ,2024

Paper submission deadline

April 22 ,2024

Accept/Reject notification

May 12 ,2024

Camera ready copy due

May 27-28 ,2024

Metis Spring school

May 29-31 ,2024

Netys Conference

Proceedings

Revised selected papers will be published as a post-proceedings in Springer's LNCS "Lecture Notes in Computer Science"

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