"Cisco has set a clear course in recent years. It wants to offer as many components of hybrid environments as possible as more or less turnkey full-stack solutions. Last year, there were AI PODs for the data center, and earlier this year, Unified Branch for connecting branches (satellite offices) to the enterprise network. Today, Unified Edge is added to the mix. This should make the power of the data center available at the edge, for (future) AI workloads, but also for other compute purposes."
"The edge is a fragmented environment where many changing priorities have also created a lot of so-called drift, he continues. In other words, because priorities have shifted over the years, there has been a lot of inconsistency in the infrastructure. That makes it no easy task to manage this properly, especially when it has to be done on a large scale."
Cisco aims to provide turnkey full-stack solutions across hybrid environments by expanding offerings from AI PODs and Unified Branch to a new Unified Edge. Unified Edge intends to bring data-center compute and AI capabilities to edge locations for future AI workloads and other compute purposes. The edge often has multiple management layers, limited expertise, high costs, fragmentation, and infrastructure drift that complicate large-scale management. Cisco presents Unified Edge as an engineered, integrated stack rather than a hardware hodgepodge, leveraging prior AI POD work and deep NVIDIA integration while not yet specifying exact models or versions.
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