Ultra-low latency is redefining infrastructure, demanding nanosecond responsiveness and large-scale performance for always-on agentic systems. Cisco Systems is responding with a full-stack AI platform, built from silicon up, addressing power, bandwidth, and trust constraints as data center build-outs approach $5 trillion. Cisco President and CPO Jeetu Patel stated, "We are grossly underestimating the capacity required to fulfill the needs of AI." He emphasized that "Every single bit of token-generation capacity that’s being sold is getting consumed right away. This is not something that you have to grow into the demand side. The demand is already there." Patel highlighted the critical need for ultra-low latency and high performance coupled with energy efficiency, noting the global power limitations for AI needs.
The shift requires a rethinking of infrastructure beyond just upgrading switches. As AI systems become persistent digital workers, networking serves as the crucial link between data centers and distributed enterprises. This presents a strategic opportunity for telecom operators. Patel explained that the move from chatbots to agentic AI necessitates a complete infrastructure overhaul, as these agents will operate 24/7, be data-hungry, and require interoperability across data centers and branches via a secure global connectivity fabric.
Beyond performance, infrastructure must incorporate network-level guardrails to ensure trusted operation of autonomous AI agents. Cisco's Secure AI Factory architecture, expanding partnerships with Nvidia and Vast Data, combines high-performance networking with embedded security controls. This aims to protect agents from threats like prompt injection and data poisoning, while also preventing agents from operating outside defined boundaries.