The race to build AI systems after the popularity of ChatGPT a few years ago has brought multiple concerns about its use. Primarily among them is the energy consumption of these systems during both the training and inference stages.
As AI adoption increases, a larger number of data centers will be needed to power them, leading to a surge in energy consumption in the coming years. If an energy-efficient approach to processing this data isn’t found, the energy demand will harm the planet.