Data Center Modernization Struggles Hamper AI Ambitions

Many organizations are struggling to modernize their data centers and scale for AI workloads. An infrastructure director candidly shared his experience, saying 'Everyone wants to talk to me about AI, but nobody wants to talk to me about the ten-year-old switches I have to rip out first.'

This sentiment is echoed by research from Cisco Networking Research, which found that 71% of IT teams cite existing infrastructure debt as the primary bottleneck to scaling AI workloads.

The Data Center Lens video series aims to provide field-level guidance on modernizing infrastructure and scaling for AI. The series offers two tracks: Modernize the Data Center and Accelerate AI Innovation. Each track provides practical insights to help navigate specific challenges, such as consolidating operations into a single management plane or closing gaps in throughput and fabric architecture.

The guidance is built around validated architectures from real-world deployments, not theoretical models. This means that the advice has been stress-tested in production data centers running actual workloads.