Recent studies show alarming statistics regarding the energy costs associated with AI operations. Take rendering services like Midjourney and Dall-E, for example. Running on modern GPUs like the Nvidia A100, these platforms consume significant amounts of power. With approximately 2.5 million daily active users, services like Midjourney could potentially consume more than 120,000 megawatt hours of energy per day. This amount of energy will be enough to meet the energy needs of more than 100,000 homes for a month.
Discoveries like these make us think about our digital footprint and the responsibilities that AI development entails. The observer believes that people should advocate for sustainable methods of applying AI. There are various ways to minimize energy consumption, from optimizing algorithms to reducing computational costs.
Source: Ferra
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