Multicast use case in LLM MoE

Large Language Models (LLMs) have been widely used in recent years. The Mixture of Experts (MoE) architecture is one of the features of LLMs that enables efficient inference and cost-effective training. With the MoE architecture, there are potential multicast use cases such as tokens dispatching. This draft attempts to analyze these use cases.