Cloud and Edge Computing for Generative AI

Cloud computing and edge computing both offer significant potential for enhancing the environmental sustainability of generative AI systems. By consolidating computational resources in centralized, energy-efficient data centers, cloud computing allows using renewable energy sources, advanced cooling technologies, and energy-efficient hardware, thereby minimizing environmental impact. However, the substantial energy requirements of training large language models and other generative AI systems in the cloud highlight the need for more sustainable practices.