The discussion delves into AI technologies in the Exascale era, examining the suitability of Exoscale computing for AI and contrasting GPU and CPU architectures. The importance of machine learning in edge devices and the need for efficient power consumption in computing are highlighted. The panel also emphasizes collaboration and partnerships, including startup programs. The future of distributed AI and hybrid architectures, balancing between centralized and edge-based AI, is also explored.