
By James Hartley. In the United States, the two companies confirmed on October 27 that Nvidia would put $3 billion into Meta's share-issuance program, expanding hardware and software collaboration around Muse.
Before the new investment, Meta had said it would raise funds through a public offering and a later share-sale initiative to accelerate artificial-intelligence infrastructure. Its overall funding target was later lifted from $95 billion to $97.5 billion, placing the effort among the largest financing programs in the company's history.
Nvidia framed the partnership as a way to improve training and inference performance for Muse and related models while reducing operating costs. Both parties also intend to optimize artificial-intelligence workflows more deeply, aiming to raise computational efficiency and improve total cost of ownership.
| Layer | Scope | Stated purpose |
|---|---|---|
| Vera Rubin and Vera CPU | Expanded deployment of Nvidia's next-generation artificial-intelligence infrastructure | Part of the cooperation framework between the two companies |
| Spectrum-X and BlueField-4 | Ethernet networking scheme and data-processing technology | Strengthen data transfer efficiency, network throughput and performance per unit of energy consumed |
| OpenShell and Sentry | Possible deeper use of the OpenShell reference architecture | Enable safer deployment of artificial-intelligence agents and use Sentry to monitor and manage agent behavior, improving security and controllability |
Nvidia Chief Executive Officer Jensen Huang said artificial-intelligence agents represent a new computing paradigm. In his description, such software can go beyond understanding a user's objective: it can reason, call tools and complete tasks for the user. He argued that this shift is changing how people use computers, moving them from operating applications toward collaboration with intelligent agents.
Meta Chief Executive Officer Mark Zuckerberg said Muse is a core component of Meta's strategy to advance personal superintelligence. The company wants to use this platform to bring advanced artificial-intelligence capability to billions of users and to build future personal intelligent agents and frontier models together with Nvidia.
Meta presents Muse as the next generation of personal artificial-intelligence assistants. With user authorization, it can connect to email, calendar, payment services, health applications, shopping platforms and smart-home systems, and can carry out tasks such as sending emails and arranging travel. Users may withdraw the related permissions at any time.
The company added that Muse and its model family have taken leading positions in several benchmark tests since release and that downloads have continued to grow, though it did not disclose specific data.
The transaction has also renewed discussion about circular financing. Because Meta is expected to continue buying large volumes of Nvidia artificial-intelligence hardware, outside observers see a pattern in which a chip supplier provides funding to a customer and that customer then purchases more chip products; they regard this as a model that is becoming more common in the artificial-intelligence industry.
Meta expects capital spending for the current year to be between $135 billion and $145 billion, with the vast majority directed toward building artificial-intelligence infrastructure. Latest earnings showed quarterly revenue rose 26% year on year to $64.6 billion. The report notes that analysts believe competition in artificial intelligence will deepen the relationship between Meta and Nvidia, and that both companies are betting artificial-intelligence agents will become a new computing platform after the mobile internet era.