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.

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.

Meta is evaluating its AI training accelerator, which could reduce its reliance on Nvidia's AI GPUs for training.

Meta Platforms (NASDAQ:META) is testing its first self-developed chip to train AI systems, Reuters reported, citing people with knowledge of the matter. Meta — which owns Facebook, Instagram and WhatsApp — has started a small deployment of the chip and intends to increase production for wide-scale use if the test goes well,