400G Ethernet-basierte AI Rechenzentrums-Switches

A practical guide to 400G Ethernet and 400G network interconnections, covering switches, NICs, optical transceivers, and DAC/AOC cabling to help build scalable, high-bandwidth data center networks.

As AI training clusters scale, network latency, stability, and link utilization become critical. Learn how the NADDOD N9570-128QC leverages Spectrum-4 and ConnectX-8 to address RoCE performance challenges in large GPU environments.

This article provides an in-depth analysis of the frontend and backend network architectures of AI data centers, focusing on the critical role of backend networks in large-scale training. It also explores how Ethernet through its open standards, scalability, cost advantages, and broad ecosystem compatibility, has evolved from a traditional general-purpose network technology into a critical infrastructure supporting AI backend interconnection.