This podcast episode explores the challenges faced in building and scaling large AI models, focusing on the infrastructure and communication aspects. The speaker discusses the use of AI at Meta Programs, particularly in personalized recommendations and content generation models. They delve into the evolution and training of Lama models, the system architecture supporting these models, and the storage infrastructure used for efficient data access. The challenges in scaling GPU clusters, power optimization, and network routing are also highlighted. The episode emphasizes the importance of hardware and software optimization for successful deployment and the commitment to renewable energy sources.