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Meta Platforms Inc. plans to acquire 350,000 high-end H100 graphics processing units (GPUs) from Nvidia Corp. to boost its capabilities in artificial general intelligence (AGI).
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Mark Zuckerberg, Meta's CEO, shared in an Instagram Reels video that the company aims to lead in AGI, potentially enabling advanced digital assistants, augmented reality glasses, and more.
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To achieve its AGI goals, Meta will invest significantly in AI computing infrastructure, including purchasing Nvidia's powerful H100 GPUs, known for training large language models like ChatGPT.
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Zuckerberg revealed that by the end of the year, Meta will have around 350,000 Nvidia H100s, with a total of approximately 600,000 H100 equivalents when considering other GPUs in the infrastructure.
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The CEO did not disclose the exact amount Meta plans to spend on the GPUs, but estimates suggest it could exceed $9 billion due to the high cost of the H100, which ranges from $25,000 to $30,000.
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The importance of GPUs for Meta's AI ambitions was emphasized by Chief AI Scientist Yann LeCun, who stated that the more GPUs a company has, the better equipped it is for AGI development.
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Zuckerberg mentioned that Meta's GPUs are already contributing to the training of Llama 3, an open-source alternative to OpenAI's ChatGPT models, and Meta plans to open-source Llama 3 as well.
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Despite the massive GPU investment, analysts express uncertainty about the success of Meta's AI plans and view the GPU purchases as indicative of the company's wealth rather than guaranteed success in the AI space.