Why AI Workloads Demand 400G/800G Optical Modules and Fat‑Tree Networks
The rapid growth of AI large‑model training and inference is pushing data‑center networks toward non‑blocking Fat‑Tree topologies and ultra‑high‑speed 400G/800G optical modules to meet massive bandwidth, low‑latency, and multi‑task concurrency requirements.
