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Meta is reportedly testing in-house chips for AI training | TechCrunch
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. According to Reuters, Meta's chip, which is designed to handle AI-specific workloads, was manufactured in partnership with Taiwan-based firm TSMC. The
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Meta is reportedly testing its first RSIC-V based AI chip for AI training
A Broadcom-designed processor. Image is for illustrative purposes only. (Image credit: Meta) Meta was one of the first companies to build its RISC-V-based chips for AI inference several years ago to cut costs and reduce reliance on Nvidia. Reuters reports that the company went one step further and
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Exclusive: Meta begins testing its first in-house AI training chip
NEW YORK, March 11 (Reuters) - Facebook owner Meta (META.O), opens new tab 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 (NVDA.O), opens new
[4]
Meta is reportedly testing its first in-house AI training chip
Breaking: A Big Tech company is ramping up its AI development. (Whaaat??) In this case, the protagonist of this now-familiar tale is Meta, which Reuters reports is testing its first in-house chip for AI training. The idea is to lower its gargantuan infrastructure costs and reduce its dependence on
[5]
Meta Is Ready to Rock Nvidia's Boat With Its In-House AI Chip
Gradually, then suddenly, the big tech companies are replacing Nvidia's pricey AI chips. The adage goes, "your arbitrage is my opportunity," and could be used to sum up Meta's push into building an in-house chip for AI training tasks. Reuters reports the company recently began a small deployment
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TSMC emerges as key partner for Meta as it helps Facebook's mothership wean off dependence on Nvidia
Meta's shift to custom silicon aims to reduce its dependence on Nvidia hardware Like many of Nvidia's highest spending customers, Meta is looking to slash its reliance on the GPU maker's expensive AI hardware by making its own silicon. In 2024, the social media giant began advertising for
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Meta in Talks with TSMC to Launch its First In-House Own Chip
The company aims to use in-house chips by 2026 for both training and inference tasks, Reuters reported. Meta has started testing its first in-house chip for training its AI systems, according to Reuters. The move is part of the company's plan to reduce its reliance on chip suppliers like NVIDIA
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Meta partners with TSMC to test its first homegrown AI training chips - SiliconANGLE
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. According to Reuters,
[9]
Meta just tested its own AI chip: Is Nvidia in trouble?
Meta Platforms, Inc., the owner of Facebook, has begun testing its first in-house chip designed for training artificial intelligence systems, marking a pivotal development as the company aims to create more of its own silicon and decrease dependence on external suppliers like Nvidia, according to
[10]
Exclusive-Meta Begins Testing Its First In-House AI Training Chip
NEW YORK (Reuters) - 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, two sources told Reuters. The world's biggest social
[11]
Meta Might Be Testing In-House Chips for AI Training
The company reportedly wants to reduce its reliance on Nvidia GPUs Meta has reportedly begun testing its first in-house chipsets that will be used to train artificial intelligence (AI) models. As per the report, the company has deployed a limited number of processors to test the performance and
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Meta begins testing its first in-house AI training chip
Meta's push to develop its own chips is part of a long-term strategy to reduce its huge infrastructure costs, as the company makes significant investments in AI tools to drive growth. The company has started a small-scale trial of the chip and plans to increase production for wider use if the test
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Meta Taps Taiwan Semiconductor To Build AI Chip, Aims To Cut Nvidia Dependence By 2026 - Meta Platforms (NASDAQ:META)
Find out which stock just plummeted to the bottom of the new Benzinga Rankings. Updated daily -- spot the biggest red flags before it's too late. Meta Platforms Inc META is testing its first in-house chip for training artificial intelligence systems. This marks its efforts to reduce reliance on
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Meta Has Kicked Off Minor Deployment Of Its In-House AI Chip As Company Aims To Reduce Its Massive Infrastructure Cost; First Tape-Out Successful Using TSMC's Technology
AI infrastructure costs alone for Meta are said to increase to $65 billion, with total expenditure forecasted to be between $114 billion and $119 billion. To curb this rising sum, the social media giant started developing its first in-house AI chip, with the company displaying show progress in this
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Facebook owner Meta begins testing its first in-house AI training chip
Image credit: Getty Images 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, two sources told Reuters. The world's biggest
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Meta has begun testing its first in-house chip for AI training, aiming to reduce reliance on Nvidia and cut infrastructure costs. The move marks a significant step in Meta's custom silicon development efforts.

Meta, the parent company of Facebook, Instagram, and WhatsApp, has taken a significant step in its artificial intelligence (AI) infrastructure development by beginning tests on its first in-house chip designed for AI training
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. This move is part of Meta's long-term strategy to reduce its reliance on external suppliers like Nvidia and bring down its massive infrastructure costs3
.The chip, developed under Meta's Training and Inference Accelerator (MTIA) program, is a dedicated accelerator designed specifically for AI-related tasks
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. Manufactured in partnership with Taiwan Semiconductor Manufacturing Company (TSMC), the chip is currently undergoing a small-scale deployment to assess its performance1
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.Key features of the new chip include:
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Meta's venture into custom silicon development has seen both successes and setbacks:
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The company aims to start using its custom chips for AI training by 2026, gradually increasing usage if performance and power targets are met
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.Meta's push for in-house chip development comes amid soaring infrastructure costs. The company expects to spend up to $65 billion on capital expenditure in 2025, largely driven by AI infrastructure
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. By developing its own chips, Meta hopes to:Related Stories
Meta's move into custom AI chip development reflects a broader trend among tech giants:
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This trend, coupled with the emergence of efficient AI models like China's DeepSeek, has raised questions about the long-term growth prospects of established chip suppliers
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.If successful, Meta's custom AI chips could significantly impact the company's AI capabilities and financial performance. The chips are expected to be used initially for recommendation systems and eventually for generative AI products like the Meta AI chatbot
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.As Meta and other tech giants continue to invest in custom silicon, the landscape of AI hardware could see substantial changes in the coming years, potentially reshaping the dynamics of the AI industry.
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