2025-09-19 –, Ladd Room (Capacity 96)
Join Christopher Nuland as he revisits the thrilling world of the 1990s arcade game Double Dragon, exploring advanced techniques in distributed AI training using Kubernetes and KubeRay on OpenShift. This session dives into the application of OpenShift to deploy game simulations across a cluster, enabling rapid AI training through distributed computing. Discover how the integration of KubeRay enhances these processes, significantly reducing the time required for training reinforcement learning models like Deep Q-Network (DQN) and Proximal Policy Optimization (PPO).
Witness firsthand how these technologies are applied to train AI agents that can master complex video games, demonstrating the power and scalability of OpenShift for AI training. The talk will cover practical steps for setting up and managing distributed training environments, optimizing resource usage, and achieving faster convergence times in AI model training.
Beyond gaming, Christopher will discuss the broader implications of these techniques in fields requiring large-scale AI solutions, such as healthcare and autonomous driving. The presentation aims to empower attendees with the knowledge to leverage Kubernetes and OpenShift in their AI projects, fostering innovation and efficiency in their operations.
Beginner - no experience needed
Christopher Nuland is a Principal Technical Marketing Manager for AI at Red Hat and has been with the company for over six years. Before Red Hat, he focused on machine learning and big data analytics for companies in the finance and agriculture sectors. Once coming to Red Hat, he specialized in cloud native migrations, metrics-driven transformations, and the deployment and management of modern AI platforms as a Senior Architect for Red Hat’s consulting services, working almost exclusively with Fortune 50 companies until recently moving into his current role. Christopher has spoken worldwide on AI at conferences like KubeCon EU/US and Red Hat’s Summit events.s