Why Speculative Decoding Slows Hybrid Mamba Models at Large Batch Sizes

An attention layer undoes a rejected draft token by moving a pointer. A Mamba layer overwrites one fixed state every token, so the server saves a full copy per draft. At large batch sizes those copies erase the speed-up. Logging each token's small in