How Agentic AI Is Redefining Campus and Branch Network Needs

The workplace is being redefined. AI workloads, an explosion of connected devices, and changing working patterns are forcing organizations to rethink their campus and branch network designs to support business goals and deliver great digital experiences to customers and employees. Over the last decade, IT teams have had to manage significant change with the adoption of cloud computing, widespread use of mobile devices, and SaaS applications becoming critical to core business operations. Now, the transformation that is AI presents an opportunity to gain a core competitive advantage and a productivity multiplier for those organizations that successfully embrace it. When it comes to the rise of Small Language Models (SLMs) and agentic AI, sophisticated AI capabilities are moving closer to where business happens — at the branch office and on campus. This shift to “edge AI” promises exciting possibilities but also brings significant implications for network infrastructure that network architects and decision-makers must address now. Understanding Local Small Language Models (SLMs) at the Edge Local SLMs are designed to be compact and efficient enough to run on local servers or even dedicated edge devices. For tasks like answering simple queries or summarizing documents using local data, these models perform inference right Continue reading