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A Survey on Inference Optimization Techniques for Mixture of Experts Models

  • 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.

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