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Data Center and AI Energy Reduction Vijay N. Gadepally Senior Scientist and Principal Investigator, Supercomputing Center at MIT Lincoln Laboratory
The energy requirements of data centers in the United States is on the order of millions of tons of carbon dioxide annually, and the demand is forecasted to increase significantly over the coming years. In this presentation, Dr. Vijay Gadepally of MIT’s Lincoln Laboratory will share strategies for reducing energy use of high-performance computing applications, improving energy transparency, and incentivizing data center users to reduce their carbon footprint.
Leon Glicksman
This session will explore the critical need for innovation across various sectors to enhance sustainability in industrial processes. Participants will examine the interplay between advanced technologies, progressive public policies, and innovative business models that can drive significant improvements in environmental performance. Through case studies and expert insights, attendees will gain a comprehensive understanding of how integrating these elements can lead to transformative changes, ultimately fostering a more sustainable future for industries worldwide. Join us to uncover practical strategies and collaborative approaches that can facilitate this essential transition.
John Williams - Applied Generative AI for Digital Transformation Generative AI and Its Business Impact - Leading Edge Webinar
We've seen a tremendous progress in digital health in the last few years and COVID-19 has only accelerated the pace of change. MIT Startup Exchange is convening the workshop on Friday March 26, 11am ET, to showcase the best of MIT Startups in this topic. This workshop will present perspectives from industry leaders and startups on challenges and opportunities in digital health.