Meta begins testing its 1st in-house AI training chip

Exclusive: Meta begins testing its first in-house AI training chip
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 ,
Meta Is Ready to Rock Nvidia’s Boat With Its In-House AI Chip
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 begins testing first in-house chip built for AI
Meta has begun testing its first in-house chip for training artificial intelligence, created to reduce reliance on external suppliers like Nvidia
Meta partners with TSMC to test its first homegrown AI training chips
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 testing its first AI training chip.
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 testing in-house AI chips to reduce reliance on 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 Pushes for In-House AI Chips to Cut Costly NVIDIA Orders
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,
Meta tests first in-house AI training chip, produced by TSMC, to cut reliance on Nvidia
The Facebook owner is currently one of Nvidia’s biggest customers, amassing an arsenal of GPUs to train AI models.

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