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  • According to the reports, Meta is preparing its first internal AI training chip for deployment
  • The dedicated AI accelerator, made with TSMC, completed the adhesive tape
  • The goal change to personalized silicon aims to reduce its dependence on the NVIDIA hardware

Like many of Nvidia's highest customers, Meta is looking to reduce their dependence on the expensive Hardware of the GPU manufacturer by making their own silicon.

In 2024, the social networks giant began to announce engineers to help build their own latest generation automatic learning accelerators, and now, according to an exclusive report from ReutersGoal is in the trial stage for its first internal chip designed to train AI systems.

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