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Graphics processing units are essential to training and deploying artificial intelligence models, but they don’t come cheap. Big Tech companies like Meta, Microsoft and xAI have spent billions, amassing hundreds of thousands or even millions of them.
For those without such deep pockets, access to this kind of computing power has gotten out of reach. Recently, the state of California launched an initiative called CalCompute to look into building its own public GPU cluster for startups and non-profit researchers to use. There are similar public compute pilots in New York state and at the federal level.
Marketplace’s Meghan McCarty Carino tells us more.
By Marketplace4.5
12451,245 ratings
Graphics processing units are essential to training and deploying artificial intelligence models, but they don’t come cheap. Big Tech companies like Meta, Microsoft and xAI have spent billions, amassing hundreds of thousands or even millions of them.
For those without such deep pockets, access to this kind of computing power has gotten out of reach. Recently, the state of California launched an initiative called CalCompute to look into building its own public GPU cluster for startups and non-profit researchers to use. There are similar public compute pilots in New York state and at the federal level.
Marketplace’s Meghan McCarty Carino tells us more.

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