Kevin is a Senior Manager in the Managed Flash Applications Engineering group at KIOXIA America Inc. He has worked in the memory industry for over 25 years and held various roles in engineering, marketing, and sales. He is the technical support lead of the Managed Flash product line for all of North America and has worked with key customers in the mobile, networking and automotive space. He holds a BSEE degree from University of California, Los Angeles.
The rapid rise of on-device generative AI across multiple platforms, from mobile, laptops, to edge devices is redefining storage requirements. These platforms can run large language models (LLMs), multimodal assistants, and persistent AI agents directly in the system without needing network connectivity. However, these systems require higher storage bandwidth, lower latency, and improved power efficiency to enable faster model loading, real-time inference, and seamless background AI operation. UFS 5.0 is designed for this new AI-first era. With next-generation interface speeds that significantly increase throughput over prior generations, along with architectural enhancements for improved signal integrity and energy efficiency, UFS 5.0 provides the performance headroom required for sustained GenAI workloads while preserving battery life and thermal limits. This session will explain the new UFS 5.0 interface, leveraging MIPI M-PHY 6.0 and UniPro 3.0 standard, and examine how UFS 5.0 addresses the performance bottlenecks at the system level.