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

The AI accelerator developed by Meta itself is intended to reduce dependency on Nvidia and costs. It is planned for recommendations and generative AI.

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.