The article analyzes how AI‑driven elephant flows overload traditional Ethernet networks, causing long‑tail latency and victim‑flow congestion, and explains how adaptive routing, RDMA/ RoCE features, advanced congestion‑control algorithms, and high‑capacity switch chips can mitigate these challenges.
The article examines how InfiniBand’s specialized features—collective communication, in‑network computing, adaptive routing, congestion control, cut‑through forwarding, shallow buffering, and self‑healing—are optimized for large‑scale AI‑generated content (AIGC) training, delivering higher bandwidth, lower latency, and greater fault tolerance than Ethernet alternatives.
This article explains how to implement service context monitoring and runtime awareness, capture performance metrics via automatic discovery, transmit data through heartbeats or message queues, and apply adaptive mechanisms such as load balancing, circuit breaking, retry and isolation to achieve resilient microservice communication.
