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.
Current work at NVIDIA
Building advanced AI for autonomous data centers and AI factories.
JP Vasseur currently focuses on advanced AI systems for autonomous data centers, AI factories, agent-native production, and the networking architecture required to operate large-scale AI infrastructure reliably.
Before 2024, his work centered on AI for networking: predictive internet systems, wireless analytics, endpoint intelligence, cognitive infrastructure, and the transition from reactive to predictive operations.
35+
years in networking and internet technologies
769 patents on the current worldwide prolific inventors list Patent areas
Ranked #79 on the worldwide prolific inventors list, with 769 patents and 626 patent families spanning networking, security, and ML/AI, including routing, QoS, MPLS, traffic engineering, optical networking, recovery, IoT, and voice/video.
Open patents page
15+
years focused on AI for networking and AI
91
h-index in public academic ranking sources
NVIDIA
Former Cisco Fellow / VP AI
Current role
Senior Distinguished Engineer and Chief Architect of AI and Networking
Current at NVIDIA
Autonomous data centers, AI factories, and AI networking.
Production AI systems, resilient infrastructure, and networking as a first-class part of large-scale AI environments.
Current NVIDIA Work
Published and forthcoming work on AI4AI.
A curated view of published papers, videos, and forthcoming work across AI infrastructure, autonomous data centers, and AI factories.
Forthcoming
Autonomous data centers and AI factories
Upcoming papers centered on autonomous data centers, AI factories, and reliable production AI systems.
Updates
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Research
Long-horizon technical themes that still matter.
Research remains visible here alongside current work, with the deeper archive collected on the dedicated research page.
Systems Thinking
Networking as architecture, not plumbing
Transport, telemetry, control, topology, and reliability remain core ingredients of AI platform design.
Trajectory
Internet-scale foundations still inform the newest work
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
Fifteen years of AI for networking stay visible right after research.
This is the earlier arc that shaped predictive networking, endpoint analytics, cognitive infrastructure, and the broader AI-for-networking viewpoint before the current NVIDIA chapter.
Neuroscience
A single neuroscience white paper keeps this thread visible.
This closes the homepage with one focused reference instead of a separate standalone chapter.
AI and Neuroscience: the (incredible) promise of tomorrow
The brain is slow, unreliable, yet still the most complex, powerful, and energy-efficient device in the universe ...
Read white paper
Closing Note
JP Vasseur
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.