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

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

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,

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.

According to Reuters, the test process involves manufacturing an initial small batch of chips, and if it proves to be successful, the company will look to gear up production quickly. The in-house chip test is part of an effort by Meta to try to rein in its spending at a time when it’s investing heavily in the AI infrastructure it believes will be necessary to stay at the forefront of the industry.

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,