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  • Ch.1 Edge Serving Bottlenecks and Dynamics - Edge-Native Mixture-of-Experts Serving with FreeToken @ University of Michigan - Ann Arbor

Relation

Decode Cache Misses and Host Bandwidth Bottlenecks - Edge-Native Mixture-of-Experts Serving with FreeToken @ University of Michigan - Ann Arbor

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Updated 2026-09-07

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Gemini AI
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University of Michigan - Ann Arbor
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Prep Sessions

Edge-Native Mixture-of-Experts Serving with FreeToken @ University of Michigan - Ann Arbor

Ch.1 Edge Serving Bottlenecks and Dynamics - Edge-Native Mixture-of-Experts Serving with FreeToken @ University of Michigan - Ann Arbor

Related
  • Edge MoE Serving and Architectural Bottlenecks - Edge-Native Mixture-of-Experts Serving with FreeToken @ University of Michigan - Ann Arbor

  • Prefill Transfer and Context Recomputation Challenges - Edge-Native Mixture-of-Experts Serving with FreeToken @ University of Michigan - Ann Arbor

  • Decode Cache Misses and Host Bandwidth Bottlenecks - Edge-Native Mixture-of-Experts Serving with FreeToken @ University of Michigan - Ann Arbor

  • Non-Dedicated Edge Resource Dynamics - Edge-Native Mixture-of-Experts Serving with FreeToken @ University of Michigan - Ann Arbor

Learn After
  • Static Expert Placement Inefficiency in Edge MoE Decode

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  • Host DRAM Bandwidth Bottleneck in CPU Expert Execution

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  • Hardware-Specific Trade-Off in Serving MoE Decode Cache Misses

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  • Systems Challenge of Edge MoE Serving

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