Inside Cisco’s approach to edge AI: Tune in to theCUBE on July 29
Organizations are expanding their use of edge AI infrastructure as workloads move beyond traditional data centers, creating new demands on systems designed for an earlier era of computing.
Cisco Systems Inc.’s Unified Edge platform, winner of the 2026 Tech Innovation CUBEd Award for the most innovative IoT or edge platform, was designed to address this mismatch. The challenge involves more than supporting increasingly demanding workloads, according to theCUBE Research’s Chief Analyst Dave Vellante (pictured, left).
“We certainly hear from enterprises all the time that edge environments are fragmented,” Vellante said. “You get … different hardware, different protocols [and] different security, so it’s a very, very difficult problem. Now, you bring in AI. The infrastructure that’s at the edge today is not built for AI.”
In an exclusive CUBE Conversation airing Wednesday, July 29, from noon to 1 p.m. ET, Vellante will talk with James Leach (right), director of product management for Cisco Compute, about the infrastructure challenges created by moving AI to the edge and how organizations can prepare for changing requirements without locking themselves into rigid technology decisions.
