AI’s Growing Appetite: Can Data Centers Keep Up feat. Scott Jarnagin

As AI booms and workloads skyrocket, data centers are being pushed to their physical and operational limits. Meanwhile, massive growth has sparked conversations about the environmental impacts of greater computing requirements.  Data center electricity consumption will grow by an average of 23% annually between 2023 and 2028. Additionally, the same report forecasts that AI-specific data center energy usage will increase by an average of 43% annually during the same period.  In this episode of The AI Forecast, Scott Jarnagin, CEO of Caddis Cloud Solutions, joins the podcast to discuss the evolving landscape of data centers in the age of AI. He touches on the significant increase in energy consumption associated with AI workloads, the historical shifts in data center strategies, and the challenges faced in designing and planning for future data center needs. Stay in touch with Scott on LinkedIn: https://www.linkedin.com/in/scott-jarnagin-24b6131/  +++ Like and subscribe to The AI Forecast to stay up to date on the latest episodes. You can watch the video version of this episode on The AI Forecast.

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The introduction of the first computer. The boom of the dotcom renaissance. Now, the dawn of AI. The throughline across each of these momentous inflections in our digital lives has been data. But the presence of data doesn’t mean immediate insights and results. It’s the architectures and systems in place that determine the true value—and trust—of data. In this podcast by Cloudera, The AI Forecast: Data and AI in the Cloud Era explores the past, present, and future of enterprise AI with today’s leading companies and industry experts. You don’t want to miss this.