Forbes October 26, 2024
Frontier models in the billions and trillions of parameters have been a focal point of the past two years as generative AI enthusiasm has continued to grow steadily finding its way into our apps, devices, and businesses–with new tools and use cases coming to market almost daily.
We also know that the rapid growth of large AI models for language, voice, and video is putting notable stress on resources, which has ignited a renaissance of interest in nuclear power as hyperscalers like Microsoft, Google, and AWS have all made sizable commitments to nuclear to support hundreds of billions of data center infrastructure build out expected over just the next few years.
And while models in the hundreds of billions and...
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