Tri Dao on fixing SSM inference with better caching
The takeaway is that SSMs can pick up the same deployment optimizations as Transformers without changing the architecture, which weakens the usual cost argument for switching model families. Practitioners evaluating hybrid or SSM-based serving stacks should watch for IO-aware caching implementations and benchmark them against paged KV setups. Dao's framing also connects techniques across FlashAttention, Mamba and paged KV as one design principle.
