Frugal AI: Optimizing AI Infrastructure for Efficiency and Scale

As AI models grow in size and complexity, scaling infrastructure efficiently becomes a critical challenge. This panel will explore strategies for optimizing AI systems, focusing on reducing the high costs and energy consumption associated with training and running large language models (LLMs). The discussion will cover recent innovations that improve performance while optimizing cost and energy efficiency. The conversation will also address the future of AI infrastructure, examining how it can evolve to meet the growing demands of machine learning while prioritizing cost-effectiveness and sustainability.