2026 IBM Storage Scale User Group Meeting at Supercomputing 2026 in Chicago!

Join us at the Westin Chicago for a half-day, in-person IBM Storage Scale User Group, kicking off Sunday, November 15th at 12:30 PM — ahead of the main conference, which begins Monday morning. This event is open to all IBM Storage Scale (GPFS) and IBM Storage Scale System (ESS) users, as well as anyone interested in how Storage Scale powers modern data-intensive workloads. About IBM Storage Scale in 2026 IBM Storage Scale remains IBM's flagship software-defined parallel file system, delivering high-performance access to unstructured data at enterprise scale. The IBM Storage Scale System pairs that software with a pre-engineered, high-throughput hardware platform built for organizations that need reliability, scalability, and seamless integration across hybrid and multi-cloud environments. In 2026, Storage Scale is built for the demands of AI, HPC, analytics, and global data orchestration — helping organizations extract insights faster, streamline model development, and run next-generation workloads with confidence. What to Expect This interactive, technical user group will cover: AI, Global Data Access & Performance How IBM Storage Scale accelerates AI pipelines — from training to inference — across distributed and hybrid environments Best practices for optimizing NVIDIA DGX and NVIDIA SuperPOD deployments with Storage Scale Strategies for building a global data platform that delivers data access anywhere, at any scale Roadmap, Innovation & User Perspectives IBM Storage Scale and Storage Scale System strategy updates What's new in the 2026 releases — features, enhancements, and roadmap insights Presentations from long-time Storage Scale users A user-led case study on real-world deployment experience Deep Dives into 2026 Capabilities IBM Storage Scale for AI workloads, in partnership with NVIDIA IBM Research insights on data resiliency and next-generation storage intelligence A look at IBM's latest Content-Aware Storage innovations — bringing AI models directly to the data for faster, more efficient processing Agenda[Agenda to follow] Questions about the event? Contact Paul Zakoor: [email protected] Agenda for each day: Questions about the event? Contact Paul Zakoor: [email protected]