Posts by Guanbao Yu
Optimizing ATOM and vLLM-ATOM for High-Interactivity Inference
- 01 September 2026
When you type a question into a chat assistant, ask a coding agent to make an edit, or watch tokens stream back from a model, what you feel is not throughput. You feel responsiveness. The pause before the first word appears, and the pace at which each following word arrives, decide whether an assistant feels instant or sluggish. As LLMs move into interactive assistants, coding agents, and multi-step tool-calling loops, this responsiveness — how quickly the system reacts to a single user — has become a first-class product requirement.