Keysight Showcases AI Infrastructure Validation Advances Across Scale-Up, Scale-Out, Scale-Across Networks to Inference at 2026 OCP

Ram Periakaruppan, Vice President and General Manager, Network Test & Security Solutions, Keysight

“AI infrastructure is evolving from individual components into highly interconnected systems spanning Scale-Up, Scale-Out, Scale-Across, and production inference. At 2026 OCP, we will show how Keysight is helping the industry recreate realistic AI environments before deployment so engineering teams can understand system behavior at scale, identify bottlenecks earlier, and accelerate the transition across design to deployment continuum.”

Will Eatherton, SVP Engineering, Data Center and Internet Infrastructure, Cisco

“As AI clusters push beyond the power and physical limits of a single data center, scale-across is becoming a critical new dimension of AI networking. This is more than traditional data center interconnect: distributed AI workloads require massive bandwidth, resiliency, and the ability to absorb traffic bursts without compromising application performance. Cisco Silicon One P200 is purpose-built for this transition, combining 51.2 Tbps of bandwidth with deep buffering and Cisco 800G ZR+ coherent pluggable optics help deliver predictable performance as AI workloads extend across data centers. In addition to using real GPU server clusters, our collaboration with Keysight helps validate these architectures under realistic RoCEv2 workloads, congestion, and network conditions. In parallel, a 64x800GE mixed-collective workload demonstration with Cisco Nexus One brings the same workload-level validation to scale-out fabrics, helping customers understand how their AI networks will perform before deploying GPU infrastructure at scale.”