While the world scrambles to adapt to the explosive demand for generative AI, Google Cloud CEO Thomas Kurian says his company isn’t reacting to a trend, but rather executing a strategy set in motion 10 years ago. In a recent panel for Fortune Brainstorm AI, Kurian detailed how Google anticipated the two biggest bottlenecks facing the industry today: the need for specialized silicon, and the looming scarcity of power.
According to Kurian, Google’s preparation began well before the current hype cycle. “We’ve worked on TPUs since 2014 … a long time before AI was fashionable,” Kurian said, referring to Google’s custom Tensor Processing Units. The decision to invest early was driven by a fundamental belief that chip architecture could be radically redesigned to accelerate machine learning.
