To support future AI workloads and meet soaring bandwidth needs, the University of Notre Dame completed a rapid, campus-wide network hardware refresh, replacing nearly 1,000 aging switches without downtime. This effort shows that enabling AI at scale often begins with addressing entrenched infrastructure debt rather than deploying new AI models.
- Campus-wide switch replacement completed in five months with zero downtime
- Standardization reduces operational complexity and network inconsistency
- Infrastructure upgrade driven by growing bandwidth needs and AI readiness goals
Market signal
The Notre Dame network refresh signals a broader trend where organizations prioritize resolving technical debt to prepare for AI demands rather than focusing solely on deploying AI applications. The project highlights the crucial role of upgrading legacy infrastructure to deliver consistent, high-bandwidth connectivity essential for AI-driven workloads.
This move echoes challenges in enterprises beyond education, where fragmented and aging network gear hampers the ability to fully leverage new technologies. As bandwidth consumption accelerates—fueled by video, IoT, and AI data flows—operators recognize standardized and scalable hardware platforms as foundational to future capacity and performance.
Operator impact
For network operators and IT buyers, Notre Dame’s experience underscores the operational advantages of synchronized hardware refreshes. Replacing hundreds of diverse switches simultaneously reduced management complexity and improved user experience consistency across multiple sites.
The project also demonstrates how adopting modern network management tools like zero-touch provisioning and integrated visibility solutions can maintain uptime during major infrastructure upgrades. These elements are critical for industries requiring relentless availability, including retail, manufacturing, and financial services.
What to watch next
Watch for further adoption of multigigabit switches and zero-touch provisioning orchestrated through centralized management as organizations work to support AI workloads and expanding IoT ecosystems. The push toward ubiquitous 100-gigabit user connectivity by 2030 sets a high-performance target driving technology procurement decisions.
Also monitor partnerships between IT teams and vendors like Cisco that combine hardware refreshes with professional services and advanced network visibility. These integrated offerings will be key as enterprises seek to reduce the complexity and risk of upgrading legacy infrastructure to support AI and other emerging technologies.