For more than a year, Meta has been engaged in a massive project to whip its AI infrastructure into shape, involving capacity crunches, leadership changes and a scrapped chip project 1/5
A security guard stands watch by the Meta sign outside the headquarters of Facebook parent company Meta Platforms Inc in Mountain View, California, U.S. November 9, 2022. REUTERS/Peter DaSilva/File Photo"Significant gap" exists on AI software, internal memo saysGenerative AI is now compounding company's capacity crunch
For more than a year, Meta has been engaged in a massive project to whip its AI infrastructure into shape. While the company has publicly acknowledged "playing a little bit of catch-up" on AI hardware trends, details of the overhaul - including capacity crunches, leadership changes and a scrapped AI chip project - have not been reported previously.
Generative AI gobbles up reams of computing power, amplifying the urgency of Meta's capacity scramble, said five of the sources.A key source of the trouble, those five sources said, can be traced back to Meta's belated embrace of the graphics processing unit, or GPU, for AI work. The stumbles caught the attention of former Meta board member Peter Thiel, who resigned in early 2022, without explanation.
As the work got underway, Meta made internal plans to start developing a new and more ambitious in-house chip, which, like a GPU, would be capable of both training AI models and performing inference. The project, which has not been reported previously, is set to finish around 2025, two sources said.
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