According to a report by Reuters, Meta’s new AI training chip is an accelerator that is designed specifically for AI-related computations. Unlike traditional GPUs, which handle a wide range of computing tasks,

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 Platforms (META) is reportedly testing its first in-house AI training chip, giving it the power to design its own custom silicon and

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,