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,

Facebook owner Meta is testing its first in-house chip for training artificial intelligence systems, a key milestone as it moves to design more of its own custom silicon and reduce reliance on external suppliers like Nvidia ,

One of the sources said Meta’s new training chip is a dedicated accelerator, meaning it is designed to handle only AI-specific tasks. This can make it more power-efficient than the integrated graphics processing units (GPUs) generally used for AI workloads.

Meta has long been one of NVIDIA's biggest customers, relying on its GPUs to train AI models. But, as the company has bet big on AI, its spending on AI

Any setbacks in new chips meant that companies were forced to use older chips, which might not sit well with customers. Perhaps the AI industry is learning from this, because, according to a report from Reuters,

The Facebook owner is currently one of Nvidia’s biggest customers, amassing an arsenal of GPUs to train AI models.