Future-Proofing Data Center Networking in the Era of AI

As artificial intelligence accelerates across industries, data center networks are under pressure to evolve. Traditional architectures no longer meet the bandwidth, latency, and scalability demands of AI workloads, particularly those driven by large language models and real-time inference. AI is fundamentally reshaping data center design and infrastructure teams must take many steps to stay ahead.

In Future-Proofing Data Center Networking in the Era of AI, data center engineers will gain insight into the growing complexity of AI data center networking, from the explosion in east-west traffic to the challenges of managing dense GPU clusters. This report describes how scalable spine-leaf architecture, high-density fiber connectivity, and low-latency design principles form the foundation of future-proof infrastructure. It also examines the limitations of legacy systems, the role of automation and modularity, and details solutions like CommScope Propel, which support rapid deployment and enable long-term flexibility.

AI-ready networks must evolve in design to meet the unprecedented demands of high-density compute. Whether designing greenfield facilities or upgrading legacy sites, the time is now to explore critical new strategies for supporting AI-driven growth, to ensure infrastructure is resilient, efficient, and ready to scale for the future of compute.

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