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Facebook building custom chips for machine learning, video quality - report

seekingalpha2021-09-09

Facebook hasjoined the big-tech party for developing in-house semiconductors, in what has become a high-stakes arms race to innovate on artificial intelligence and machine learning. The social-media ...

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More than 100 people are working on the machine-learning chip, according to the report.\nThe goal is to produce more powerful and power-efficient chips that will be cheaper and offer more savings in the long run for companies running power-hungry data centers. And development cost for the new chips is relatively small.\nIt would also reduce Facebook's reliance on existing chip vendors, recently including Intel(NASDAQ:INTC), Qualcomm(NASDAQ:QCOM)and Broadcom(NASDAQ:AVGO).\nFacebook has brought in engineers to work on chips previously but they focused on modifying existing designs with the outside semiconductor companies, and the ambition then was semi-custom ASICs rather than solo work on full-fledged semiconductors.\nBut Facebook pointed the way to this outcome in previous commentary, where it noted that inference and transcoding were among its fastest growing services, and that it wouldn't be able to meet its data center needs with general-purpose processors alone.\nAnd it joins a powerful list, as Google (GOOG,GOOGL), Amazon.com(NASDAQ:AMZN)and Microsoft(NASDAQ:MSFT)have all been investing in custom silicon in order to wring better savings and performance out of their computing. 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