Adapting Optical Validation Workflows to 1.6T AI Networks

As data centers scale up to 1.6T Ethernet fabric to support AI workloads, optical transceivers are becoming a critical bottleneck in network performance. At 224 Gb/s PAM4 per lane, PHY margins are razor‑thin. Even minor signal degradations can cascade into link instability, congestion, and degraded AI workload performance. At the same time, IEEE 802.3dj introduces significant updates to measurement definitions challenging traditional validation approaches and interoperability workflows. Engineers developing next generation optical interconnects must adapt to new standards requirements to ensure reliable AI network performance.

This webinar provides a technically grounded look at how 1.6T optical PHY testing is evolving, including new TDECQ and OMA definitions and the introduction of a new reference receiver. We’ll examine how these changes impact validation across different transceiver types, from traditional pluggables to LPO, CPO, and other architectures, and why current workflows may no longer accurately correlate or scale. You’ll also learn how automated, standards‑aligned validation solutions can expose device limits earlier and ensure reliable 1.6T optical performance for AI scale‑out networks.

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Speaker

Ben Miller

Digital Product Marketing Manager, Keysight

Ben Miller is the product marketing manager for Keysight digital test products, specializing in wireline and data center applications. He joined Keysight in 2022. He holds a bachelor’s degree in electrical engineering from the University of Texas at Austin.