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Tom’s Hardware
Tom’s Hardware
Technology
Jowi Morales

Meta is using more than 100,000 Nvidia H100 AI GPUs to train Llama-4 — Mark Zuckerberg says that Llama 4 is being trained on a cluster “bigger than anything that I’ve seen”

Mark Zuckerberg on stage.

Mark Zuckerberg said on a Meta earnings call earlier this week that the company is training Llama 4 models “on a cluster that is bigger than 100,000 H100 AI GPUs, or bigger than anything that I’ve seen reported for what others are doing.” While the Facebook founder didn’t give any details on what Llama 4 could do, Wired quoted Zuckerberg referring to Llama 4 as having “new modalities,” “stronger reasoning,” and “much faster.” This is a crucial development as Meta competes against other tech giants like Microsoft, Google, and Musk’s xAI to develop the next generation of AI LLMs.

Meta isn’t the first company to have an AI training cluster with 100,000 Nvidia H100 GPUs. Elon Musk fired up a similarly sized cluster in late July, calling it a ‘Gigafactory of Compute’ with plans to double its size to 200,000 AI GPUs. However, Meta stated earlier this year that it expects to have over half a million H100-equivalent AI GPUs by the end of 2024, so it likely already has a significant number of AI GPUs running for training Llama 4.

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