LLMOps is essential for scaling and maintaining large language models in production, but effective deployment requires more than just technical deployment—it involves ongoing optimization, monitoring, and maintenance. Join a deep dive into the infrastructure and strategies necessary for efficiently managing LLMs, discussing best practices for minimizing latency, ensuring robustness, and maintaining performance as models evolve over time. Bring your questions, and join the interactive discussion.