Posts by Yi Gan

Optimizing ATOM and vLLM-ATOM for High-Interactivity Inference

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.

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Scaling MiniMax-M3 Inference with Distributed Serving and Operator Co-Design on AMD Instinct MI355X GPUs

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.

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