Funding

Nvidia Nears $12.9 Billion Takeover of Hugging Face, Reports Say

The reported acquisition would hand the semiconductor giant direct control over the open-source AI ecosystem's primary software hub.

  • Nvidia is moving to acquire Hugging Face in a deal valued at $12.9 billion, according to reports citing The Information.
  • The reported valuation marks a dramatic jump from Hugging Face's last private financing round in 2023, which valued the startup at $4.5 billion.
  • Hugging Face functions as the central repository for the global machine learning community.
Nvidia Nears $12.9 Billion Takeover of Hugging Face, Reports SayThe Scale Report

Nvidia is moving to acquire Hugging Face in a deal valued at $12.9 billion, according to reports citing The Information. The transaction has not yet been formally announced by either party, and sources suggest that final documentation may still be pending signature.

The reported valuation marks a dramatic jump from Hugging Face's last private financing round in 2023, which valued the startup at $4.5 billion. Nvidia was already an existing investor in the platform prior to the reported buyout talks.

Hugging Face functions as the central repository for the global machine learning community. Millions of engineers, data scientists, and independent researchers rely on the platform to store, test, and distribute model weights, datasets, and fine-tuning scripts.

Shoring Up the Developer Layer

The strategic rationale for Nvidia centers on developer lock-in at a moment of growing competitive friction. Major cloud providers and AI developers, including Amazon, Google, Anthropic, and OpenAI, are investing heavily in custom silicon to reduce their reliance on Nvidia accelerators. Owning the primary distribution channel for open AI code gives Nvidia unmatched visibility into developer behavior and emerging architectural trends.

Why it matters: Controlling Hugging Face would push Nvidia beyond hardware dominance into the developer operating layer. If Nvidia can embed its proprietary optimization tooling and cloud compute services deeper into default open-source workflows, it will be far harder for rival chipmakers to persuade developers to switch to alternative hardware.

For now, the deal remains unconfirmed, and neither firm has issued an official statement regarding the terms or closing timeline. If finalized, the transaction would rank among the most consequential acquisitions in the modern AI sector.

Reporting based on coverage from @eluna.ai on Instagram.

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