![]() ![]() Nvidia did not respond to a request for comment for this story. However, GPUs are also more expensive than other chips, with chipmaker Nvidia Corp (NVDA.O) controlling 80% of the market and maintaining a commanding lead on accompanying software, the sources said. GPU chips are uniquely well-suited to artificial intelligence processing because they can perform large numbers of tasks simultaneously, reducing the time needed to churn through billions of pieces of data. FALLING BEHINDĪ 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. Generative AI gobbles up reams of computing power, amplifying the urgency of Meta's capacity scramble, said five of the sources. 30 debut, triggering an arms race among tech giants to release products using so-called generative AI, which, beyond recognizing patterns in data like other AI, creates human-like written and visual content in response to prompts. ![]() Meanwhile, Microsoft-backed OpenAI's ChatGPT surged to become the fastest-growing consumer application in history after its Nov. Those investments have coincided with a period of severe financial squeeze for Meta, which has been laying off employees since November at a scale not seen since the dotcom bust. They had a thorny problem: despite high-profile investments in AI research, the social media giant had been slow to adopt expensive AI-friendly hardware and software systems for its main business, hobbling its ability to keep pace with innovation at scale even as it increasingly relied on AI to support its growth, according to the memo, company statements and interviews with 12 people familiar with the changes, who spoke on condition of anonymity to discuss internal company matters. Generative AI is now compounding company's capacity crunchĪpril 25 (Reuters) - As the summer of 2022 came to a close, Meta CEO Mark Zuckerberg gathered his top lieutenants for a five-hour dissection of the company's computing capacity, focused on its ability to do cutting-edge artificial intelligence work, according to a company memo dated Sept.Custom AI chip scrapped, new more ambitious chip planned."Significant gap" exists on AI software, internal memo says.Company was late to adopt AI-friendly hardware.Got a tip? Email Daniel Howley at Follow him on Twitter at. More investment will be made in AI to improve Reels recommendations and advertisement measuring tools, adding large language model (LLM) features into messaging, and automating ad campaigns with creative content generation,” he said. “ looking to invest in projects that can drive growth,” Deepwater Asset Management Managing Partner Gene Munster wrote in a recent note. Especially since it’s expected to be years until the metaverse is a bankable reality, if ever. In 2022, that jumped to $13.7 billion.Ī greater emphasis on AI, though, allows Meta to appease investors, while continuing to plow money into its metaverse ambitions. In 2021, Meta reported a $10.1 billion loss from its Reality Labs business, which houses the company’s metaverse efforts. That includes the research and development of everything from the headsets needed to power that vision to the software that will run the apps. Meta has been stung for its massive investments in Zuckerberg’s plan to turn the company into a metaverse first business. Facebook Chairman and CEO Mark Zuckerberg speaks during the annual Munich Security Conference in Germany, February 15, 2020. ![]()
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