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.

Meta Accelerates AI Chip Development to Reduce Dependence on Nvidia Meta boosts semiconductor initiatives to build an independent AI chip ecosystem

With the Metaverse having been a poor investment, Meta looks to be ploughing a wealth of resources into AI. The company noted that it expects to spend in the range of $114 to $119 billion on infrastructure, a large portion of that specifically for AI compute power.

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

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,

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,

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 infrastructure has soared through the roof. Now,