A new survey analyzes inference optimization techniques for Mixture of Experts (MoE) models.The survey categorizes optimization approaches into model-level, system-level, and hardware-level optimizations.Model-level optimizations include architectural innovations, compression techniques, and algorithm improvements.System-level optimizations investigate distributed computing approaches, load balancing mechanisms, and efficient scheduling algorithms.