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Would you be surprised if the technology that NVIDIA CEO Jensen Huang says is driving the largest infrastructure buildout in human history, is also exerting pressure on enterprise infrastructure? If your answer is no, then congratulations and welcome to the problem! A recent Cisco and Foundry research report – titled No time to wait: The accelerating impact of AI on campus and branch networks – discusses the less voiced issue of the“ extraordinary pressure” that AI is placing on enterprise networking. Surveying over 3,400 IT and networking decision-makers across 15 countries, the research sounds the alarm on the rapidly increasing strain on networks with rampant adoption of generative, agentic and physical AI.
“ This new research finds that campus and branch environments are fundamentally mismatched with the scale, speed and variability of AI-driven traffic now moving across enterprise networks,” the report notes.
“ As organisations accelerate AI deployment, networking teams are facing three pressures converging at once – rapidly escalating traffic growth, fast approaching capacity limitations and rising security complexity.”
AI’ s impact on the network Companies have adopted this gamechanging technology that requires extensive lateral device-to-device and server-to-server communication to operate. This is referred to as east-west traffic, which is crucial for AI agents to exchange data tied to their workloads.
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