Jeff Chang is a Senior Principal Product Manager at Astera Labs where he focuses on the AI switch industry. He has more than 15 years’ experience with SSD and high-speed connectivity solutions. He previously held senior roles in product management, procurement and engineering at Marvell, Uber, LITE-ON, LSI Corporation and more. He holds an MBA from University of California, Davis, and a degree in Applied Science and Engineering Science from Simon Fraser University.
As AI models grow to ever-larger training datasets and parameter counts, the GPU’s memory is no longer sufficient and storage requirements continue to increase. New solutions are needed to build larger clusters of SSDs that are modular, flexible and high performant.
This presentation explores how large port-count PCIe switches unlock entirely new storage architectures for AI. By consolidating large numbers of SSDs under a single switching fabric, we can improve the current architecture with modular flexibility, unified management, dynamic drive allocation, and reduction of multi-hop latencies.