Meta reportedly testing 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 reportedly testing in-house chips for AI training
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 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 (META) Tests Custom AI Training Chip to Reduce Nvidia Dependency
We recently published a list of 12 AI Stocks on Wall Street’s Radar Today. In this article, we are going to take a look at where Meta Platforms, Inc. (NASDAQ:META) stands against other AI stocks that are on Wall Street’s radar today.
Meta begins trial of maiden in-house AI chip
According to a report by Reuters, Meta’s new AI training chip is an accelerator that is designed specifically for AI-related computations. Unlike traditional GPUs, which handle a wide range of computing tasks,
Meta Takes on Nvidia with Secret AI Chip to Slash Costs
Meta Platforms (META) is quietly testing a secret weapon against Nvidia (NVDA). The company has been developing its own AI training chip, a
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,
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