
Senior Product Research Engineer, NVIDIA
About the Speaker:
Chris Alexiuk is a deep learning developer advocate at NVIDIA, working on creating technical assets that help developers use the incredible suite of AI tools available at NVIDIA. Chris comes from a machine learning and data science background, and he is obsessed with everything and anything about large language models.
In this workshop we’ll stand up NemoClaw end to end: install the reference stack, get OpenClaw running inside the OpenShell sandbox, configure inference routing, and lock down a network policy that survives a multi-hour agent session. We’ll walk through the blueprint, the CLI, and the approval flow, then run a real long-lived agent against it and break things on purpose so you know what the layers actually catch.
Wednesday, November 18th | 10:55 AM – 11:25 AM
Performance is the Product: Our Journey to SoTA for Nemotron Retriever
Kalpesh Sutaria
Director, NVIDIA
Wednesday, November 18th | 11:30 AM – 12:00 PM
Maximizing GPU Utilization in LLM Post-Training with Co-Operative Time-Slicing in LLM-D
Poonam Lamba
Senior Product Lead, Google
Wednesday, November 18th | 12:05 AM – 12:35 PM
Training Generative Recommenders in Production
Fuzail Khan
Senior Machine Learning Engineer, Meta
Wednesday, November 18th | 01:35 AM – 02:05 PM
Little's Law Meets the Roofline Model: A Decision Framework for Sizing Hosted LLM Inference
Balaji Varadarajan
Staff Engineer, LLM Inference, DigitalOcean
MLOps World | GenAI Summit 2026 is a two days of case studies, workshops, and expo on taking AI/ML and agentic systems into production – at the Etter-Harbin Alumni photo – full-bleed hero or browse files.