Exclusive-Meta executive leading AI chip efforts to leave position - sources


FILE PHOTO A smartphone with a displayed Meta logo is placed on a computer motherboard in this illustration taken February 23 2023. REUTERSDado RuvicIllustrationFile Photo

FILE PHOTO: A smartphone with a displayed Meta logo is placed on a computer motherboard in this illustration taken February 23, 2023. REUTERS/Dado Ruvic/Illustration/File Photo

(Reuters) -A Meta Platforms executive overseeing the company's efforts to develop its own chips for artificial intelligence work is leaving her position at the end of the month, according to two sources familiar with the matter.

Alexis Black Bjorlin, vice president of infrastructure at Meta and a veteran of chip companies Broadcom and Intel, headed a team charged with designing a custom chip to handle a range of AI work, a key part of company's efforts to overhaul its sprawling network of data centers for an era dominated by chatbots and image generators. She is leaving her position at the end of the month but not immediately leaving the company, one of the sources said.

Yee Jiun Song, Meta's vice president of engineering, will take over her role, and the company will continue its efforts to develop its own AI hardware, one of the sources said.

Black Bjorlin did not immediately respond to requests for comment.

Meta on Wednesday introduced the company's first generative AI products for consumers, including a chatbot that can generate both text responses and photo-realistic images.

To create and power those features and others, Meta is reworking its data centers and building powerful supercomputers with chips from Nvidia.

Reuters reported earlier this year that Meta is also working on its own custom chips that would help it both control costs and better chart its own path independent of commercial chip providers. Some of the company's initial efforts proved slower than using existing chips, leading the company to scrap some of its AI chips. Meta is working on a newer chip that will span all types of AI work.

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(Reporting by Katie Paul and Stephen Nellis; Editing by Kenneth Li and Lisa Shumaker)

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