Learn more about NVIDIA’s advanced open models, datasets, and techniques that empower researchers to innovate faster with NVIDIA Nemotron.
The Researcher's Toolkit: Open Models, Datasets, and Techniques
Every field needs AI tuned to its own data, goals, and pace of discovery. This summit deep dives into NVIDIA Nemotron, a family of open foundation models, datasets, and techniques designed to help researchers train, fine-tune, and evaluate efficiently. We will show how Nemotron fits into the modern research workflow and how full-stack co-design, from GPU to model, enables reproducible, high-performance experimentation.
Bryan Catanzaro
VP of Applied Research, Deep Learning, NVIDIA
Agenda
The Researcher’s Toolkit: Open Models, Datasets, and Techniques
Bryan Catanzaro, VP of Applied Research, Deep Learning, NVIDIA
Inside Nemotron: Techniques for Efficient and Reproducible Foundation Model Pre-Training
Dan Su, Senior Research Scientist, NVIDIA
Post-Training at Scale: Reinforcement Learning, Alignment, and Cost-Efficient Reasoning with Nemotron
Oleksii Kuchaiev, Director of Applied Research, AI Model Post-Training, NVIDIA
Synthesizing & Scaling AI Training Data for Open Research & Fast Collaboration
Maarten Van Segbroeck, Director of Research, NVIDIA
Enabling Rapid AI Experimentation via Multi-Framework Inference Support
Maksim Khadkevich, Sr. Software Engineering Manager, Dynamo, NVIDIA
The BrowserGym Ecosystem Meets NemoGym
Alexandre Lacoste, Sr. Staff Research Scientist, ServiceNow
Connect with NVIDIA researchers—appetizers and drinks!
Directions
Omni San Diego Hotel | Galleries 2 & 3 | 675 L. Street | San Diego, California