I. Introduction
Artificial intelligence-generated content (AIGC) has recently represented a groundbreaking method for generating, altering, and refining large amounts of data, marking a significant advancement in content creation and processing fields [1]. AIGC makes it feasible to create content by learning from big data, relying heavily on large-scale AI models [2]. In addition, these AI models contain billions to trillions of parameters for training, resulting in an exponential growth in AI computing resources requirements [3]. ChatGPT’s frequent downtime caused by a recent surge in user traffic reflects ChatGPT’s high reliance on computing resources.