Is AI Sustainable? Exploring Its Energy Demands

Don Woodlock January 14, 2025
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Don Woodlock

@dwoodlock

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AI & machine learning is transforming every industry, including healthcare. Join me in my video series “Code to Care” as I explore how AI is shaping the future of medicine and patient care. I discuss how this technology works, its use cases, and the ethics + safety concerns of the tools. This new technology shows a lot of promise, but it needs to be carefully understood and tested before healthcare systems roll it out at scale. There is a balance between AI’s potential and responsibility in patient settings. --- ABOUT INTERSYSTEMS Established in 1978, InterSystems Corporation is the leading provider of data technology for extremely critical data in healthcare, finance, and logistics. It’s cloud-first data platforms solve interoperability, speed, and scalability problems for large organizations around the globe. InterSystems Corporation is ranked by Gartner, KLAs, Forrester and other industry analysts as the global leader in Data Access and Interoperability.

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Video Description

The phrase "just ask ChatGPT" has become a part of our vocabulary, as we rely more and more on AI in our day-to-day lives. But have you ever stopped to think how much that "ask" can cost? In our latest video, we dive deep into an often-overlooked aspect of AI: its voracious appetite for energy. Here are some eye-opening insights: - AI's power needs are skyrocketing. A leading AI technology vendor will require 5x more energy than the largest U.S. supercomputer to power its latest models. - Data centers have struggled to keep up with energy needs post-2020, leading tech giants to explore alternative energy options. - AI technology vendors are investing heavily in nuclear energy, which includes the reopening of the Three Mile Island nuclear plant in 2028. As AI users, we have a responsibility to use technology both effectively and efficiently. Here are 3 key takeaways: 1. Use Only What You Need: Do we really need all of the power, everywhere, all at once for our AI initiatives? 2. Choose the Right Tool: A ChatGPT query uses 10x more energy than a Google search. Is using generative AI always necessary? 3. Plan for Scale: Design efficient models with widespread adoption in mind. The future of AI is exciting, but it comes with a responsibility to manage its energy footprint. How are you balancing innovation and sustainability in your AI projects? Leave me a comment if you have new topics I should be discussing. Check out my LinkedIn: https://www.linkedin.com/in/donwoodlock/ Check out Jessica's profile too: https://www.linkedin.com/in/jessica-jowdy-59809ab0/ --- Timestamps: 0:00 – 0:20 Introduction 0:21-0:54 Video guests and overall topic 0:55-1:05 The power that powers AI by Jess 1:05-1:50 Understanding AI's Energy Footprint 1:51 – 2:25 Growing Energy Needs in the AI Sector 2:25 – 2:40 Energy power options for large tech companies 2:41 – 3:12 Microsoft big power plans 3:12-3:30 Don’s commercial plug in 3:30 – 3:55 Energy consumption future 4:00 – 4:44 Actionable Insight: Optimize Usage 4:45 – 5:43 Actionable Insight: Select Appropriate Tools 5:44 – 6:27 Actionable Insight: Consider Scalability 6:27 – 6:51 Final Thoughts and Future Directions --- ABOUT INTERSYSTEMS Established in 1978, InterSystems Corporation is the leading provider of data technology for extremely critical data in healthcare, finance, and logistics. It’s cloud-first data platforms solve interoperability, speed, and scalability problems for large organizations around the globe. InterSystems Corporation is ranked by Gartner, KLAS, Forrester and other industry analysts as the global leader in Data Access and Interoperability. InterSystems is the global market leader in Healthcare and Financial Services. Website: https://www.intersystems.com/ Youtube: https://www.youtube.com/@InterSystemsCorp LinkedIn: https://www.linkedin.com/company/intersystems/ Twitter: https://twitter.com/InterSystems #sustainability #llm #genai #codetocare

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