Optimization tip: Speculative prefetching for MoE models
carrigmat · x · 2026-08-27
The author provided specific optimization instructions for guiding an AI code agent to improve inference performance:
- Reference Base: Start modifications from PR #25294.
- Core Optimization: Implement 'speculative prefetching'. Pass activations from the current layer to the next layer's router to predict and load likely expert weights in advance.
- Execution Flow: Upon reaching the target layer, overlap computing the correctly guessed experts with loading the misses, then compute the misses afterwards.
This technical detail specifically addresses loading latency for Mixture-of-Experts models on disk arrays.
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