The MiMo-V2.5 series implements a full-pipeline inference optimization to reduce latency. This update targets specific bottlenecks in the model's data flow to increase throughput. It is an incremental performance gain rather than a structural shift. Developers can now run these models with lower overhead on existing GPU hardware.