SuanNi

Feb 27, 2026 · Artificial Intelligence

How Dual‑Channel Loading Doubles LLM Inference Throughput

The article analyzes the storage‑bandwidth bottleneck of agent‑style large language models, explains why traditional pre‑fill and decode architectures underutilize network resources, and details a dual‑channel loading and smart scheduling design that unlocks idle bandwidth, achieving up to 1.9× higher throughput in both offline and online inference workloads.