Xinnor to Present Innovative Storage Solutions for AI Workloads at MSST 2024

May 21, 2024

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Xinnor is proud to announce its participation in the prestigious International Conference on Massive Storage Systems and Technology (MSST) 2024. The conference, celebrating its 50th anniversary, will take place from June 3rd to June 7th at Santa Clara University, hosted by the School of Engineering.

Xinnor has been invited to deliver a presentation on “Disaggregated Storage based on NFS/RDMA for AI Workloads.” The talk, scheduled for June 5th at 1:30 PM, will be presented by Sergey Platonov, VP of Product Strategy at Xinnor. Sergey will delve into the challenges posed by AI workloads to storage systems and introduce innovative solutions leveraging NFS/RDMA and pNFS technologies.

This presentation explores how NFS/RDMA and pNFS technologies can provide fast storage for AI workloads. Attendees will learn about real storage deployments that offer unparalleled performance and scalability through disaggregated NVMe storage. The session will highlight how this solution can quadruple traditional NAS performance, saturating network bandwidth and maximizing GPU utilization.

The International Conference on Massive Storage Systems and Technology (MSST) is a premier annual event established in 1974 by leading national laboratories. It serves as a critical platform for experts in storage system design, implementation, architecture, research, and industry to convene and exchange best practices and cutting-edge advancements. Renowned for its comprehensive agenda, MSST addresses the latest challenges and innovations in building and securing large-scale storage systems used in high-performance computing, web-scale environments, and enterprise applications.