This post explores the design and optimization of an AI system for an end-to-end real-time infinite zoom feature. It discusses the importance of considering factors beyond compute capability, such as memory/cache size, energy efficiency, and data types. The post also highlights various optimization techniques for power efficiency, including model optimization, memory optimization, dynamic power scaling, and dedicated low-power AI hardware accelerators.
Table of contents
A thorough list of Technologies for best Performance/WattBackground on end-to-end video zoomPower efficiency optimization for AI features like end-to-end video zoom2 Impressions