LLM inference pipelines are hitting a scalability wall as prefill and decode phases compete for the same compute, causing latency spikes and underutilized resources. DistServe tackles this by disaggregating prefill and decode computation across separate GPUs—eliminating interference, decoupling resource planning, and unlocking new levels of optimization for both time-to-first-token (TTFT) and time-per-output-token (TPOT).
