Understanding AI Energy Use: Productivity Perspectives and Sustainable Practices
Introduction to AI Energy Consumption Artificial intelligence (AI) technologies are increasingly integrated into many productivity tools and systems. As these systems grow in complexity and usage, questions arise about how much energy they consume. Understanding AI's energy use is essential for businesses and professionals aiming to balance productivity gains with environmental and operational costs. Measuring the Energy Use of AI Systems AI energy consumption varies widely depending on the type of model, the size of data, and the computational resources required. Training large AI models demands significant processing power, often involving powerful graphics processing units (GPUs) or specialized hardware. However, the energy needed for running AI applications day-to-day, such as inference tasks, tends to be much lower. Energy Costs in Relation to Productivity Benefits Although AI models can consume substantial energy during development, they often improve productivity ...