Generative AI models such as ChatGPT, BERT, LaMDA, GPT-3, DALL-E-2, MidJourney, and Stable Diffusion have been gaining traction, but the environmental costs and impact of these models are often overlooked. Companies can take eight steps to make these systems greener, such as using existing large generative models, fine-tuning existing models, using energy-conserving computational methods, and evaluating the energy sources of their cloud provider or data center. The data center industry is responsible for 2-3% of global greenhouse gas emissions and the servers that store the ever-expanding data require huge amounts of energy and water to operate. Almost all of the best-known generative AI models are generated by “hyperscale” cloud providers with thousands of servers that produce major carbon footprints.
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