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NVIDIA to invest $3 billion in Meta equity offering

29 OCTOBER 2026·2 MIN READ·2 SOURCES

On October 26, 2026, NVIDIA said it would invest $3 billion in Meta’s equity offering.

NVIDIA to invest $3 billion in Meta equity offering

Key takeaways · 4

  • 01

    NVIDIA said it would invest $3 billion in Meta’s equity offering.

  • 02

    Meta planned to raise $95 billion for AI infrastructure, including an initial $35 billion through underwritten public equity offerings.

  • 03

    Meta said it intended to expand NVIDIA infrastructure deployment, including Vera Rubin and Vera CPUs.

  • 04

    NVIDIA and Meta said they would improve Muse inference and training performance and work on workflow optimizations aimed at performance and total cost of ownership.

The investment and Meta’s fundraising plan

NVIDIA said it would invest $3 billion in Meta’s equity offering.[1] CNBC reported that Meta had announced plans to raise $95 billion to fund AI infrastructure investment.[2] Meta planned to initially raise $35 billion through underwritten public equity offerings, with another $60 billion through an at-the-market program.[2] CNBC also reported that AMD would invest $1 billion and that Meta had previously said NVIDIA, AMD and Broadcom were interested in purchasing up to $5 billion in shares.[2] For finance teams, distinguishing the overall fundraising target from individual company commitments is important when assessing the figures.

A broader infrastructure deployment

Meta said it intended to expand its deployment of NVIDIA infrastructure for next-generation AI agents, including Vera Rubin and Vera CPUs.[1] The stated goal was maximum performance per watt.[1] Meta also said it would deploy NVIDIA Spectrum-X Ethernet networking and BlueField-4 to support network efficiency and throughput.[1] The announcement links compute and networking choices to separate performance goals.[1] Infrastructure planners evaluating the proposal can use those goals to shape what they measure, rather than treating compute capacity as the only design consideration.

Muse work and agent tooling

NVIDIA and Meta said they would expand their work on Muse and the Muse family of models to improve inference and training performance.[1] They also said they were partnering on workflow optimizations to maximize performance and improve total cost of ownership.[1] The companies said Meta’s Muse models and agents use NVIDIA infrastructure and had achieved frontier-level benchmark performance and surging consumer downloads since launch.[1] They said they would consider further collaboration involving NVIDIA’s OpenShell Reference Architecture.[1] NVIDIA describes OpenShell as being for safe deployment and Sentry as a tool for monitoring agent behavior.[1]

Context and reported market moves

CNBC reported that Meta’s AI agent launched last month.[2] It also reported that NVIDIA participated in 121 investment rounds so far that year, up from 13 in 2022, citing Dealroom.[2] On Tuesday, NVIDIA shares were flat, AMD shares rose 3%, and Meta shares fell 1%, CNBC reported.[2] Those market moves provide same-day context, but they do not establish what caused the changes. Professionals assessing the partnership should keep reported share performance separate from the companies’ stated investment and deployment plans.

The announcement combines an equity investment with plans for expanded infrastructure and model work, so it is relevant to professionals evaluating AI capacity, costs and vendor relationships. Teams should distinguish stated intentions and goals from measured outcomes when using the announcement to inform budgets or deployment plans.

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How this developed

  1. 29 October 2026

    NVIDIA to invest $3 billion in Meta equity offering

Sources

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