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Meta is reportedly testing its first in-house AI training chip


The company is one of NVIDIA's biggest customers and hopes to reduce its dependence. If all goes well, the company plans to use it for training by next year.

The idea is to lower its gargantuan infrastructure costs and reduce its dependence on NVIDIA (a company that apparently brings out Mark Zuckerberg's "adult language" side). Meta has reportedly kicked off a small-scale deployment of the dedicated accelerator chip, which is designed to specialize in AI tasks (and is, therefore, more power-efficient than general-purpose NVIDIA GPUs). The chip is part of the Meta Training and Inference Accelerator (MTIA) series, the company's family of custom in-house silicon focused on generative AI, recommendation systems and advanced research.

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