Disaggregated Prefill & Decode Trend 2026

Disaggregating prefill and decode separates the compute-intensive processing of user prompts from the token-by-token generation phase. This architecture optimizes GPU utilization, reduces latency, and scales each stage independently. Primarily beneficial for AI infrastructure teams and enterprises deploying large language models, it enables higher throughput, cost efficiency, and smoother performance for real-time applications like chatbots and coding assistants.