• Meta is reportedly readying its first in-house AI training chip for deployment
  • The dedicated AI accelerator, made with TSMC, completed tape-out
  • Meta’s shift to custom silicon aims to reduce its dependence on Nvidia hardware

Like many of Nvidia’s highest spending customers, Meta is looking to slash its reliance on the GPU maker’s expensive AI hardware by making its own silicon.

In 2024, the social media giant began advertising for engineers to help build its own state-of-the-art machine learning accelerators, and now, according to an exclusive report from Reuters, Meta is at the testing stage for its first in-house chip designed for training AI systems.



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