Testing Data Center Switches for AI Optimization

This White Paper presents a technical overview of the transition from 800G to 1.6T Ethernet, emphasizing the need for faster interconnects in data centers driven by the increasing adoption of Artificial Intelligence (AI) and Machine Learning (ML). It outlines the advancements in Ethernet technology, specifically the shift to 1.6Tbps, which is achieved by utilizing eight lanes of 224Gbps SerDes. The document details critical factors affecting signal integrity, including frequency-dependent losses, impedance mismatches, and intersymbol interference, which necessitate advanced modulation, equalization, and error correction techniques. The paper also discusses the significant changes introduced in the 1.6T Ethernet standard, such as modifications to Forward Error Correction (FEC) and Physical Coding Sublayer (PCS) configurations. Furthermore, it provides practical guidelines for testing and validating performance in next-generation semiconductors and network elements, ensuring robust system performance. The content is structured to facilitate understanding of the architectural foundations and innovations associated with the new Ethernet standard.