Meta’s Massive Investment in Nvidia AI Chips


On Thursday, Meta CEO Mark Zuckerberg revealed plans to integrate 350,000 Nvidia H100 graphics cards into the company’s infrastructure by 2024, emphasizing commitment to AI and AGI. This aligns with Zuckerberg’s earlier statement on AI being Meta’s primary investment focus in 2024. Understanding the implications of this move is crucial for both companies and the AI landscape.

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Meta’s Unprecedented Investment:

Mark Zuckerberg’s announcement reveals Meta’s willingness to spend billions of dollars on Nvidia’s leading H100 graphics cards; moreover, these GPUs are priced at an estimated $25,000 to $30,000 each. The demand for these chips has surged to the extent that they can fetch over $40,000 on eBay. If Meta were to acquire these GPUs at the lower end of the price range, this investment would amount to nearly $9 billion. This showcases the company’s substantial financial commitment to advancing its AI capabilities.

The Significance of H100 Graphics Cards:

Meta’s AI relies on H100 graphics cards, vital for AGI. The number of GPUs is undisclosed, but it’s substantial. Meta’s compute infrastructure will have nearly 600k H100 equivalents, showcasing the massive effort.

The AI War and Nvidia’s Role:

Meta’s chief scientist, Yann LeCun, emphasizes the critical role of GPUs in the race for AGI. Additionally, referring to Nvidia CEO Jensen Huang, LeCun characterizes the landscape as an “AI war”; moreover, he describes Nvidia as the supplier of essential weapons. This vivid imagery underscores the competitive nature of AI development. Furthermore, it highlights the strategic partnership between Meta and Nvidia to secure the necessary computational firepower.

Meta’s Vision for AI Development:

Mark Zuckerberg’s commitment to making Meta’s “general intelligence” open source aligns with the company’s broader approach. Additionally, this transparency extends to Meta’s Llama family of large language models. Moreover, ongoing efforts are in place for training Llama 3 and fostering collaboration between the Fundamental AI Research team (FAIR) and the GenAI research team. Furthermore, this approach reflects Meta’s dedication to responsible and collaborative advancements in AI technology.

Financial Implications and Meta’s Q3 Earnings Report:

Meta’s Q3 earnings report underscores the significance of AI investments, with projected total expenses for 2024 ranging from $94 billion to $99 billion. This financial commitment is fueled in part by the expansion of Meta’s computing capabilities. Zuckerberg’s emphasis on AI as the primary investment area further solidifies the company’s strategic direction in the pursuit of cutting-edge technologies.

Accelerating Progress through Collaboration:

In a subsequent post, Yann LeCun announced the alignment of FAIR and GenAI, emphasizing their collaboration to accelerate progress in AI development. This collaborative effort positions Meta at the forefront of AI research, leveraging the strengths of both research teams to drive innovation and breakthroughs in the field.


Meta’s massive investment in Nvidia AI chips signifies a pivotal moment in the company’s journey toward artificial general intelligence. The substantial financial commitment, the strategic partnership with Nvidia, and the emphasis on collaboration and transparency underscore Meta’s dedication to pushing the boundaries of AI technology. As the company propels itself into the future, these developments herald a new era in the evolution of artificial intelligence.


Why is Meta investing billions in Nvidia’s H100 graphics cards?

Meta is heavily investing in Nvidia’s H100 graphics cards to bolster its computing infrastructure for artificial intelligence, particularly in the pursuit of artificial general intelligence (AGI), as outlined by Meta CEO Mark Zuckerberg.

What is the significance of the H100 graphics cards in Meta’s AI strategy?

The H100 graphics cards are crucial components at the core of Meta’s AI initiatives, providing the computational power necessary for the company’s ambitious goals, including research in AGI.

How does the collaboration between Meta and Nvidia impact the AI landscape?

The collaboration between Meta and Nvidia is characterized as an “AI war,” with Nvidia supplying essential tools. This partnership highlights the competitive nature of AI development and the strategic role of computational resources.

What is Meta’s approach to responsible AI development and collaboration?

Meta’s commitment to open sourcing its “general intelligence,” collaboration between research teams like FAIR and GenAI, and transparent advancements in technology underscore the company’s dedication to responsible and collaborative AI development.

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Meta’s Massive Investment in Nvidia AI Chips


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