AI for Networking
From predictive internet systems to cognitive infrastructure
A clear line connects the Cisco-era work on predictive networking, endpoint analytics, wireless intelligence, and anomaly detection to the current AI4AI chapter.
My Journey
Earlier work at NVIDIA focused on autonomous data centers, AI factories, and AI and networking architecture. Today, my focus is continual learning across models, agents, and AI systems.
Before 2024, my work centered on AI for networking: predictive internet systems, wireless analytics, endpoint intelligence, cognitive infrastructure, and the transition from reactive to predictive operations.
Calculated rank #76 among Wikipedia’s 100 listed inventors by granted utility patents (equal counts share rank), with 802 patents and 658 patent families spanning networking, security, and ML/AI, including routing, QoS, MPLS, traffic engineering, optical networking, recovery, IoT, and voice/video.
Open patents page
Production AI systems, resilient infrastructure, and networking as a first-class part of large-scale AI environments.
AI and infrastructure
Papers and talks from the AI and networking chapter. Project announcements below are preserved from the previous site; their status remains to be reviewed.
Forthcoming
Upcoming papers centered on autonomous data centers, AI factories, and reliable production AI systems.
Updates
Stay informed when new papers, talks, and selected technical updates are published.
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Research
Research remains visible here alongside current work, with the deeper archive collected on the dedicated research page.
AI for Networking
A clear line connects the Cisco-era work on predictive networking, endpoint analytics, wireless intelligence, and anomaly detection to the current AI4AI chapter.
Systems Thinking
Transport, telemetry, control, topology, and reliability remain core ingredients of AI platform design.
Trajectory
Protocol design, standards, and internet architecture continue to shape the way large-scale AI environments should be built and operated.
Cisco AI for Networking Journey
Neuroscience
The brain is slow, unreliable, yet still the most complex, powerful, and energy-efficient device in the universe ...
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Closing Note
JP Vasseur's personal website where he shares insights on networking, AI, machine learning, AI for networking, autonomous systems, security, IoT, and neuroscience.
LinkedIn: linkedin.com/in/jp-vasseur-phd Twitter/X: @jpvasseur
Disclaimer: any and all opinions and views expressed throughout the content of this website are JP Vasseur's own and shall not be deemed to reflect the views of any potential affiliates.