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Inside Meta's scramble to catch up on AI: slow to adopt pricey AI-optimized systems, scrapping a custom AI chip for a more ambitious model in 2025, and more

As the summer of 2022 came to a close, Meta CEO Mark Zuckerberg gathered his top lieutenants for a five-hour dissection …

Reuters

Discussion

  • @dnystedt Dan Nystedt on x
    Meta has hired Microsoft chip executive Jean Boufarhat to oversee its Facebook Agile silicon Team, The Information reports. Boufarhat is corporate VP of silicon engineering at Microsoft. $FB $MSFT #semiconductors https://www.theinformation.com/ ...
  • @dylan522p Dylan Patel on x
    @StephenNellis ... This part doesn't make sense. They have been running inference for their production DLRM model on multi-server GPU clusters since at least 2020 at minimum. They've been trained with GPU clusters as well. That is their biggest workload. https://twitter.com/...
  • @stephennellis Stephen Nellis on x
    Behind the scenes, tech firms are in a huge transition, shifting billions of $$$ in hardware investments toward AI-centric data centers. Some are further along than others, but as @katielpaul @readkrystalhu and @annatonger report, Meta is way behind: https://www.reuters.com/...
  • @tech_correspond @tech_correspond on x
    “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.” Inside Meta's scramble to catch up on AI https://www.reuters.com/...