In a recent panel session at the Digital Workers Forum, Sergey Edunov, Meta’s director of engineering for Generative AI, shared a surprising insight into the power needs of AI applications. He stated that just two new nuclear power plants would be sufficient to handle the increasing demand for AI applications for the next year. This statement provided a ballpark estimate of the power requirements for AI “inference,” where AI is deployed to respond to questions or make recommendations. Edunov’s calculation considered the number of H100 GPUs that would be available next year and the electricity required to support them. His estimate concluded that two nuclear reactors would be enough to power these GPUs, indicating that the power needs for AI inference are relatively manageable at the current scale of humanity.
Related Posts
Generative AI in Production: Best Practices
The Impact of Generative AI in Business Generative AI is transforming how businesses engage with customers, enhance their…
The Rapid Growth of AI in 2023 and Beyond
The Evolution of AI in 2023 By any measure, 2023 was an amazing year for AI. From large…
The Role of OpenAI’s Board in Determining AGI
OpenAI’s nonprofit board of directors holds the responsibility of determining when the company has achieved Artificial General Intelligence…
Meta Reports $3.7 Billion Loss in Third Quarter in Metaverse-Focused Division
In a recent quarterly analyst call, Susan Li, the chief financial officer at Meta, announced that the company’s…