Rethinking AI-Scale Data Center Validation


The rapid growth of AI workloads is transforming AI data center networking, exposing critical limitations in traditional Ethernet validation and network testing methodologies. As data centers adopt 1.6T Ethernet, 224G SerDes and optical lanes, and tightly coupled GPU fabrics, networks must deliver ultra-high bandwidth, low latency, and predictable performance under dynamic east-west traffic con... » read more