NVIDIA Plans to Invest $3 Billion for a Stake in Meta, Deepening Collaboration on AI Assistant Muse

NVIDIA and Meta announced a major strategic partnership. NVIDIA plans to invest $3 billion in Meta's equity offering, while the two sides will comprehensively deepen cooperation in the AI assistant Muse and related large-model fields.

This direct equity investment of $3 billion marks the formation of a closer alliance of interests between the two tech giants spanning AI underlying compute and top-level applications. As the hardware core of the cooperation, Meta will significantly expand its deployment of NVIDIA's next-generation computing infrastructure to directly respond to the surging market demand for efficient AI computing resources.

At the software and ecosystem level, the two sides' joint efforts aim to comprehensively optimize the inference and training performance of the Muse large model. Facing strong consumer enthusiasm for practical AI agents, the two companies will integrate end-to-end workflows from infrastructure to large models to significantly reduce total cost of ownership and improve computing performance.

NVIDIA CEO Jensen Huang and Meta CEO Zuckerberg both stated in the joint announcement that AI agents represent an entirely new computing paradigm. This deep technology bundling and capital injection aim to popularize personal superintelligence to billions of users worldwide by optimizing infrastructure, and the event is expected to have a profound impact on the global AI application ecosystem and the underlying compute market landscape.

As an important part of deepening the partnership, Meta plans to significantly expand the array of NVIDIA products in its AI infrastructure. To meet the massive operational demands of next-generation AI agents and maximize performance per watt, Meta will deploy the NVIDIA Vera Rubin architecture and Vera CPU. In addition, to improve network operating efficiency and data throughput, Meta will also introduce NVIDIA Spectrum-X Ethernet networking technology and BlueField-4 devices.

Another core of this cooperation is Meta's Muse series models and AI agents. Since release, relying on NVIDIA's existing infrastructure, the Muse model has demonstrated frontier-level benchmark performance and achieved rapid growth in consumer downloads. To further consolidate this market advantage, the two sides will work on joint optimization across workflows. At the same time, the two companies are exploring more technical collaboration based on the NVIDIA OpenShell reference architecture, planning to introduce NVIDIA OpenShell for secure deployment, as well as NVIDIA Sentry technology for monitoring agent behavior and processing structured and unstructured graph data, thereby comprehensively strengthening the security and reliability of AI agents.

This $3 billion capital injection and deep technical integration reflect the two companies' high degree of consensus on the commercial prospects of AI agents. Huang said that AI agents represent an entirely new computing paradigm, in which software can understand human goals, reason, and use tools to execute tasks on their behalf. He noted that the two sides are optimizing computing infrastructure end to end to create powerful, efficient, and secure AI agents. Zuckerberg reaffirmed Muse's strategic position in driving mass adoption of AI, emphasizing that continued cooperation between the two sides will provide the world's billions of people with the best personal agents and frontier large models. Risk Disclosure and Disclaimer

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