Posts by Yi Gan
FlyDSL Mono Kernels for High-Interactivity LLM Serving in ATOM
- 03 November 2026
LLM applications with strict latency requirements need high interactivity. A coding agent needs to generate its next action quickly so it can call a tool and continue the task. By reducing decode latency, you can keep this loop moving.
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.
Scaling MiniMax-M3 Inference with Distributed Serving and Operator Co-Design on AMD Instinct MI355X GPUs
- 21 July 2026
This blog walks you through a set of MiniMax-M3 inference optimizations on AMD Instinct™ MI355X GPUs using ATOM, AITER, and ATOMesh. For broader background on the inference engine and distributed serving layers used here, see the ROCm blogs on ATOM and ATOMesh.