MiMo-V2.5 Inference Optimization and Serving Stack
teortaxesTex · x · 2026-07-16
The core of this thread is a technical report on MiMo-V2.5 inference optimization:
- The focus isn't on the model architecture itself, but on how the serving system understands the lifecycle of different KV states.
- It pushes the inference efficiency of mixed SWA to new heights using techniques like dual-pool cache management, prefix matching, affinity routing, and multimodal preprocessing.
- The author's view is that the boundary between infrastructure and architecture depends partly on how much engineering effort you're willing to invest in the serving system.
Overall, it emphasizes that a well-designed serving stack can use engineering to further compress many of the inference costs that seem unavoidable on paper.
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