Jeremy is an accomplished storage technology leader with over 20 years of experience. At Micron he has a wide range of responsibilities, including product planning, marketing and customer support for Server, Storage, Hyperscale, and Client markets globally. Previously he was GM of the SSD business at KIOXIA America and spent a decade in sales and marketing roles at startup companies MetaRAM, Tidal Systems, and SandForce. Jeremy earned a B.S.E.E. from Cornell University and holds over 25 patents or patents pending.
AI has entered the inference era, and the bottleneck has shifted. Performance is no longer defined by compute, but by how efficiently systems move, store, and access context. In short, AI now runs on memory.
As models evolve into agents and real‑world systems, they demand persistent context at scale, driving unprecedented pressure on bandwidth, capacity, and latency. The memory wall is no longer theoretical. It is defining system performance and economics today.
In this keynote, Jeremy Werner will introduce a “temperature zone” framework for AI infrastructure, from hot data near the accelerator to warm memory expansion to cold storage. He will show how Micron’s full‑stack portfolio, from high‑bandwidth memory to advanced DRAM and data center SSDs, enables customers to scale AI performance, efficiency, and cost in the inference era.