How Much Compute Will AI Need?
And Where Will It Come From?
In this podcast, Jay Dawani, CEO of \“\_blank\”, examines the escalating computational needs of AI. He discusses how increased AI usage will lead to even more demand for computing power in 2024 and beyond, and explores the environmental implications of this growing demand.
According to Dawani, three factors drive the advance of AI: algorithmic innovation, data (which can be either structured or unstructured), and computational power. As AI algorithms become more sophisticated and the amount of available data continues to grow, the demand for computing power will only increase.
This growing demand for computing power has a number of implications, including the need for more efficient data centers and the development of new, more powerful computer architectures. Dawani also discusses the environmental impact of AI, noting that the energy consumption of data centers is a major concern.
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