The Hidden Power Bill of Artificial Intelligence with MIT's Vijay Gadepally
About this episode
Vijay Gadepally discusses the energy footprint of AI and potential efficiency improvements.
Vijay Gadepally joins Ed and Sara to break down the real energy footprint of AI—and why most people (and companies) are getting it wrong. They discuss: How "agentic" AI systems use an order of magnitude more energy than ChatGPT.Whether efficiency gains can keep pace with exploding usage (spoiler: not yet). The one simple change that could cut AI energy use by 80%. Vijay is Senior Scientist at the MIT Lincoln Laboratory Supercomputing Center and Co-Founder of Bay Compute ...
People in this episode
Hosts: Ed, Sara
Guest: Vijay Gadepally
Topics covered
- Artificial Intelligence
- Energy Consumption
- Efficiency
- Technology
- Sustainability
Keywords
- AI energy footprint
- efficiency gains
- energy use reduction
- agentic AI
- ChatGPT
Mentioned in this episode
Organizations: MIT, MIT Lincoln Laboratory Supercomputing Center, Bay Compute
More episodes of Energy vs Climate: How climate is changing our energy systems
- The Hosts in the Hot Seat: Turning the Tables on Ed and Sara
- EvC BONUS | Fire Weather: John Vaillant on the New Era of Extreme Fire
- From Straits to Stoves and Tankers to Tables: Iran, Oil and Climate Trade-Offs in a Crisis
- Understanding China's Energy Transition: Experts Weigh In | Andrew Light, Jeremy Wallace, Christina Pan, and Hong Li
- Alberta’s Energy Transition: Economics, Emissions, and the Hard Trade-Offs (LIVE)
- Aviation vs Climate: Can Sustainable Flight Take Off? with Sebastian Eastham
Explore listener stats, chart rankings, contacts and more on the Energy vs Climate: How climate is changing our energy systems podcast page.