The Hidden Cost of AI: Making Data Centers Sustainable

Understanding the Environmental Impact of AI with Dr. Yi Ding

Hosted and produced by Kristin Malavenda

In this episode of Engineering Innovations, host Kristin Malavenda talks to Dr. Yi Ding, an associate professor at Purdue University's Elmore Family School of Electrical and Computer Engineering. They discuss the immense energy consumption of modern AI systems like ChatGPT, which could soon account for up to 12% of US electricity usage. Dr. Ding's research focuses on the broader environmental impacts of AI, including carbon emissions, water consumption, and biodiversity. They delve into how AI models and data centers contribute to these issues and explore strategies for developing sustainable AI systems. Dr. Ding sheds light on policy implications, data transparency, and industry practices that need to change for a more sustainable future. The episode also touches on Dr. Ding's personal journey into this research and her pedagogical approach to mentoring students.

00:00 Introduction to Engineering Innovations

00:14 The Energy Cost of AI

00:32 Meet Dr. Yi Ding

01:00 Understanding AI's Energy Hunger

03:16 Inside Data Centers

04:22 Beyond Energy: Carbon, Water, and Biodiversity

08:26 Dr. Yi Ding's Research Journey

10:32 Balancing Performance and Sustainability

15:00 The Role of Policy and Regulation

16:07 Future of AI and Sustainability

22:18 Mentorship and Personal Insights

27:15 Conclusion and Farewell

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Purdue University's Elmore Family School of Electrical and Computer Engineering, founded in 1888, is one of the largest ECE departments in the nation and is consistently ranked among the best in the country.