Gurudatt Shenoy, Senior Vice President, Data Center and Provider Connectivity at Cisco Systems, examines the transformative impact of AI agents on network infrastructure and traffic patterns. Drawing from recent survey data, Shenoy reveals striking statistics about inferencing growth and agent-driven traffic consumption that signal a fundamental shift in network demands. He explores the architectural and operational implications of this emerging agentic era, addressing critical considerations that network operators and enterprises must prepare for as AI workloads reshape connectivity requirements.
– How inferencing traffic now compares to training workloads in network consumption
– Key survey findings on the growth rate of inferencing and agent-driven traffic patterns
– The magnitude of traffic differences between agent-executed tasks and human-generated traffic
– Why distributed inferencing architectures require flexible and dynamic network capabilities
– Critical performance, latency, and security requirements for AI-scale networks
– The role of AI-driven network operations in managing next-generation infrastructure
Have a tech update that you want to brief us on? Contact [email protected]!
https://ngi.fyi/tech-cisco-gurudatt
Check out other Tech Updates on our YouTube Channel (subscribe today): https://www.youtube.com/@NextGenInfra and check out our latest reports at: https://nextgeninfra.io/
