Meta and OpenAI say they don't have enough AI chips

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Meta and OpenAI say they don't have enough AI chips

Despite growing concerns over future demand for artificial intelligence chips, both Meta (META) and OpenAI can’t seem to get enough right now. Read more...

Startups News | Tech News

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Meta is testing its first in-house AI training chip to reduce reliance on Nvidia and cut AI infrastructure costs - Tech Startups

Meta is testing its first in-house AI training chip, marking a pivotal step to cut infrastructure costs and lessen its dependence on Nvidia and other suppliers, Reuters reported, citing sources familiar with the matter. The move reflects Meta’s broader push […] The post Meta is testing its first in-house AI training chip to reduce reliance on Nvidia and cut AI infrastructure costs first appeared on Tech Startups.

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Meta Reportedly Reaches Test Phase with First In-house AI Training Chip

According to a Reuters technology report, Meta's engineering department is engaged in the testing of their "first in-house chip for training artificial intelligence systems." Two inside sources have declared this significant development milestone; involving a small-scale deployment of early samples. The owner of Facebook could ramp up production, upon initial batches passing muster. Despite a recent-ish showcasing of an open-architecture NVIDIA …

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Meta is reportedly testing its first RSIC-V based AI chip for AI training

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

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The American group has started testing its first internal chip for artificial intelligence (AI) systems training. In the long run, the group hopes to reduce its costs and dependence on its current suppliers.

Analytics India Magazine

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Meta in Talks with TSMC to Launch its First In-House Own Chip

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 and lower its AI infrastructure costs. The chip is part of the Meta Training and Inference Accelerator (MTIA) series. If tests go well, Meta plans to increase production and use the chip more widely.  The company is working with Taiwan’s Taiwan Semiconducto…