In this interview, Will Eatherton, senior vice president and head of networking engineering at Cisco, joins Gilad Shainer, senior vice president at NVIDIA, and Marc Hamilton, vice president of solutions architecture and engineering at NVIDIA, to talk with theCUBE's John Furrier about the expansion of the Cisco Secure AI Factory with NVIDIA to rack-scale infrastructure. Eatherton frames the deployment gap as a rush to revenue, with neoclouds, sovereign programs and enterprises all racing to move from GPU procurement to production. Shainer compares the AI infrastructure buildout to historic projects like the interstate highway system, describing AI factories as revenue generators rather than cost centers. The panel details how Cisco Silicon One and NVIDIA Spectrum-X combine to create an AI-optimized fabric that runs on an operating model enterprises already know. The conversation also explores how the NVIDIA Cloud Partner reference architecture ties together compute, networking and storage as a single tuned system, reducing the risk of misconfiguration across hundreds of thousands of components. Eatherton highlights Cisco Cloud Control and Cisco Validated Infrastructure Services as the mechanism for unifying visibility and operations from Day 0 planning through Day 2 monitoring, software upgrades and lifecycle management. Shainer notes that availability and performance, not just first-token speed, determine the true cost of an AI factory investment, and Hamilton describes the buildout as a "living, breathing" system requiring continuous optimization as new models launch weekly. The group underscores that faster, validated deployment improves GPU utilization and compresses the path from delivery to first token and revenue. Eatherton closes by framing the announcement around scale — of systems, clusters and operations — as the defining challenge for the next phase of AI infrastructure.