Build Smarter and Secure AI Agents with NVIDIA Nemotron

Learn how to leverage NVIDIA Nemotron^™ to build smarter and more secure AI agents in the OpenClaw era.

Introduction
Learnings
Speakers
Resources

Introduction
Learnings
Speakers
Resources

We are entering the era of open-source agentic AI, where autonomous agents can reason, retrieve knowledge, call APIs, and execute multi-step workflows. As OpenClaw rapidly gains adoption across the developer community, concerns around privacy, security, and governance for always-on AI agents are becoming increasingly important. NVIDIA Nemotron models power these next-generation agentic workflows with strong capabilities across reasoning, multimodal vision, RAG, speech, and safety tasks.

Join this webinar to learn how to leverage NVIDIA Nemotron to build smarter and more secure AI agents in the OpenClaw era. We’ll also introduce NemoClaw^™ - a one-command stack combining NVIDIA Nemotron models and the OpenShell^™ runtime for secure, autonomous AI agents. Hear from University of Waikato on a real-world adoption story with practical implementation insights, and watch a live demo on how to quickly get started with NemoClaw on Brev.

Learnings

In this webinar, you'll learn:

How NVIDIA Nemotron and its open AI ecosystem help developers build smarter, faster, and more capable AI agents
Practical guidance on deploying NemoClaw to a Remote GPU Instance for free
A real-world NemoClaw adoption story.

Already Registered ?

Event Information

Date: Thursday, July 9, 2026
Time: 2:00 p.m. SGT | 1:00 p.m. VN | 4:00 p.m. AEST
Duration: 1 hour

Event Information

On-Demand Webinar
Duration: 1 hour

Speakers

Johan Barthelemy
Senior AI Scientist, NVIDIA AI Technology Center, Asia Pacific
NVIDIA

After his PhD in Applied Mathematics at the University of Namur (Belgium), Dr. Johan Barthélemy joined the SMART Infrastructure Facility of the University of Wollongong (Australia) where he was the head of the Digital Living Lab researching and developing AI and AIoT solutions for extreme environmental monitoring. Being passionate about applied AI, and accelerated computing, he is now a Senior AI Scientist at the NVIDIA AI Technology Center, helping developers and scientists in their journey to build the next generation of AI-based solutions.

Albert Bifet
Director of Te Ipu o te Mahara AI Institute
University of Waikato

Albert Bifet is the Director of Te Ipu o te Mahara AI Institute at the University of Waikato, and professor at Télécom Paris, Institut Polytechnique de Paris. His research focuses on streaming AI, machine learning for data streams, adaptive learning systems, concept drift, real-time monitoring, and low-latency inference. He has contributed to major open-source tools for stream learning, including MOA, Apache SAMOA, River, and CapyMOA, and co-authored Machine Learning for Data Streams published by MIT Press. He works closely with academic and industry partners to bring research into real-world systems, with applications in finance, environmental monitoring, telecommunications, transportation, and MLOps.