AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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With a trace-driven, event-atomic simulator over three MoE models, a large offline-optimal gap substantially overstates the gains recovered by representative lightweight causal mechanisms.
Mixture-of-Experts (MoE) models have outgrown accelerator memory, and offloading expert weights to host memory is now standard. This makes expert cache management an attractive lever: a policy that raised the hit rate would cut expert traffic per token. Evaluating that is a measurement problem, and we find the measurem...
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