Learn from Snorkel AI team members about their practical experience and lessons learned using Azure AI infrastructure powered by NVIDIA GPUs in this 21-minute conference talk. Discover how Snorkel researchers successfully scaled their machine learning experiments from small projects to large-scale distributed jobs across multiple GPUs while maintaining reliability and comprehensive monitoring. Gain insights into the operational aspects of running AI workloads on cloud infrastructure, including best practices for distributed computing, GPU utilization, and monitoring mechanisms that ensure consistent performance at scale. Explore real-world challenges and solutions encountered when transitioning from prototype to production-scale AI research environments, with specific focus on Azure's AI infrastructure capabilities and how they support complex machine learning workflows.