2026 Agenda

As frontier models scale to trillions of parameters and employ increasingly advanced architectures, memory remains a critical determinant of system performance, efficiency and reliability. In this panel, technology experts will examine how AI infrastructure is evolving to meet unprecedented demands for bandwidth, capacity and energy efficiency, and what it will take to sustain this trajectory for future generations of systems.

The discussion will explore the shifting landscape of memory technologies, from HBM, LPDDR, and advanced GDDR to high-speed DDR and emerging architectures, and how they address the challenges of data movement bottlenecks, power consumption and thermal constraints. Panelists will also highlight the growing importance of system-level design, including advanced packaging, interconnects and heterogeneous memory hierarchies, in delivering scalable AI performance.

Equally important, the conversation will address reliability at scale and how to ensure data integrity, availability and resilience in mission-critical AI workloads. Attendees will gain insights into the trade-offs shaping next-generation AI platforms, and how innovations across the memory ecosystem are enabling the performance gains required for future AI applications.