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 ,

RISC-V business Meta is quietly testing RISC–V–based AI training chips to kick Nvidia out of its wallet. The social notworking outfit has rolled out a “small deployment” of in-house silicon, developed in partnership with Taiwan’s TSMC,

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

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 Inc. is forging ahead with its plans to reduce its reliance on Nvidia Corp.’s graphics processing units, and is currently testing its first in-house artificial intelligence training chip.

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

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,

The Facebook owner is currently one of Nvidia’s biggest customers, amassing an arsenal of GPUs to train AI models.