Meta is reportedly testing an in-house chip for training AI systems, a part of a strategy to reduce its reliance on hardware makers 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.

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 ,

Meta is reportedly testing its first AI training chip, which is designed to train Meta's AI systems and reduce dependency on suppliers like Nvidia.

Meta has begun testing its first in-house chip for training artificial intelligence, created to reduce reliance on external suppliers like Nvidia

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

The custom chip is designed to train Meta’s artificial intelligence systems and reduce the company’s dependency on third-party suppliers like Nvidia, with Meta aiming to use its own in-house chips by 2026.

Facebook owner Meta is testing its first in-house chip for training artificial intelligence systems, a key milestone as it moves to reduce reliance on Nvidia.