Hot Experts in your VRAM! Dynamic expert cache in llama.cpp for 27% faster CPU +GPU token generation with Qwen3.5-122B-A10B compared to layer-based single-GPU partial offload

This article details a novel dynamic expert caching strategy implemented in llama.cpp to accelerate token generation for large MoE models like Qwen3.5-122B-A10B. The approach loads frequently routed experts into VRAM, leading to up to 26.8% faster token generation compared to layer-based partial offload.