Current work at NVIDIA
Senior Distinguished Engineer and Chief Architect of AI and Networking at NVIDIA
Autonomous data centers, AI factories, agent-native production, and AI networking architecture.
AI for networking across internet, Wi-Fi, endpoint analytics, predictive systems, and standards.
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.
The site should start with production AI systems: autonomous operations, resilient infrastructure, AI factories, and networking as a first-class part of large-scale AI environments.
Current Work
The homepage should read as AI4AI: autonomous data centers, AI factories, agent-native production, and the technical work needed to make these systems trustworthy in production.
The lead card frames the current chapter: autonomous data centers, AI factories, agent-native production, and networking as a first-class part of reliable AI infrastructure.
Watch the GTC presentationPlanned technical writing centered on how autonomous AI systems should be designed, operated, evaluated, and trusted in production AI factories.
In preparationA forthcoming paper on making multi-agent systems more predictable, observable, and operationally robust under stochastic behavior.
In preparationResearch
This section preserves one of your stated preferences: research remains visible on the homepage rather than being buried in the archive.
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.
Neuroscience
The site should reflect that neuroscience is not an afterthought but one of the conceptual threads shaping the broader technical worldview. It belongs in the main flow of the homepage.
This section can later expand into essays, recommended readings, and reflections on cognition, intelligence, and biological inspiration.
Presentations
This follows the design note from the rebuild handoff: presentations belong with the main technical story, while press and broader media live on a separate page.
Featured talk for the current chapter: Autonomous AI Factories: A Technical Preview of Agent-Native Production.
Watch the GTC session
Pre-2024 talks remain important for context, especially around predictive networking and AI for networking.
Open the media pageWhite Papers
This area should continue to be one of the strongest sections on the site because it is where the technical voice becomes most concrete.
Updates
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Pre-2024 Cisco Era
Another explicit preference from the rebuild notes: the Cisco journey plot and supporting context should remain on the homepage.
Before 2024, the public story centered on AI for networking: internet systems, Wi-Fi, endpoint analytics, predictive networking, and cognitive infrastructure.
That chapter remains essential to understanding the present one, but it now appears later in the narrative, where it supports the current NVIDIA chapter instead of competing with it.