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Discover how Replit optimized their GPU-enabled infrastructure for serving Large Language Models in production during this 13-minute lightning talk from the LLMs in Prod Conference. Learn about the challenges and solutions involved in switching to preemptible GKE nodes, managing the resulting chaos, and achieving significant cost savings while improving uptime. Gain insights from Bradley Heilbrun, a Replit engineer with extensive experience in reliable and scalable LLM infrastructure, as he shares the story of how his team successfully implemented these changes. Explore strategies for balancing cost-effectiveness and high availability in cloud-based LLM services, drawing from Heilbrun's background as YouTube's first SRE and his experience at Google and PayPal.