AINeutralarXiv – CS AI · 6h ago6/10
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Theoretically Optimal Attention/FFN Ratios in Disaggregated LLM Serving
Researchers present an analytical framework for optimizing Attention/FFN provisioning ratios in disaggregated LLM serving architectures. The work provides closed-form rules and practical guidance for balancing memory-intensive attention computation with compute-intensive FFN operations, achieving predictions within 10% of simulation-optimal configurations.