Nvidia’s reported $12.9 bn acquisition of Hugging Face has implications beyond the Hugging Face platform itself. It also gives Nvidia control over the core team behind llama.cpp, one of the most important open-source projects in local AI.

In February 2026, ggml.ai - the founding team of llama.cpp - joined Hugging Face.

Georgi Gerganov described the move as a way of securing long-term support for ggml, llama.cpp and the wider local-AI community. Hugging Face said that Georgi and his team would continue spending 100% of their time maintaining the projects, while retaining autonomy over their technical direction.

The people involved in the announcement included Georgi Gerganov, Xuan-Son Nguyen, Aleksander Grygier, Victor Mustar, Lysandre and Hugging Face co-founder Julien Chaumond. Nguyen and Grygier were already Hugging Face engineers and major llama.cpp contributors before the deal.

At the time, the arrangement looked fairly reassuring. The official announcement explicitly said that llama.cpp would remain 100% open-source and community driven, with the ggml team continuing to lead and maintain it full-time.

Six months later, though, Hugging Face itself is reportedly being acquired by Nvidia.

That makes the long-term position of llama.cpp considerably less clear.

There is no indication at the moment that Nvidia intends to interfere with llama.cpp, change its licence or redirect its developers. Any suggestion that this will happen is necessarily speculative. But there are several perfectly plausible ways in which an acquisition could affect the project.

The ggml developers are now employees inside a much larger organisation. Nvidia could eventually move people onto other work, change funding priorities, or steer development towards areas which matter more commercially to Nvidia. Something as simple as CUDA work receiving more attention while Vulkan, Metal or other hardware backends receive less would be significant for a project whose appeal is largely its ability to run almost anywhere.

There is also the question of ownership.

The February announcements don’t appear to spell out publicly exactly what happened to the intellectual property owned by ggml.ai or its founders when the team joined Hugging Face. If Hugging Face acquired those copyrights or other relevant IP as part of the deal, Nvidia could in turn acquire them along with Hugging Face.

That doesn’t mean Nvidia could simply revoke the existing open-source licence. Copies of llama.cpp already released under the MIT licence remain available under those terms.

It could, however, potentially affect how future versions are developed and licensed.

There is an important complication here: llama.cpp contains contributions from many independent developers, so ownership of the entire codebase isn’t necessarily concentrated in one company. Relicensing a mature open-source project can therefore require agreement from copyright holders, removal or replacement of outside contributions, or some other mechanism for obtaining the necessary rights.

Still, control over the main repository, the project’s core maintainers and a substantial part of its copyright is itself extremely valuable.

And we’ve seen similar tensions elsewhere in open source. Projects such as Redis and MinIO have substantially changed their licensing or distribution models after becoming commercially important, demonstrating that “open source today” isn’t necessarily a guarantee about the governance or licensing of future releases.

None of this means llama.cpp is about to become closed-source. The project is MIT-licensed, widely used and already has a large contributor community. If its direction changed dramatically, the existing code could be forked and continued independently. That is precisely one of the protections open-source licensing provides.

But a fork isn’t quite the same thing as preserving the original project. The maintainer team, accumulated expertise, project name, infrastructure and community momentum matter enormously.

So for now, there isn’t much reason to panic. Nvidia hasn’t announced any changes to llama.cpp, and the February commitment from Hugging Face was explicitly that the project would remain open and autonomous.

But Nvidia’s acquisition of Hugging Face also means it is potentially acquiring something that hasn’t received nearly as much attention as Hugging Face’s model hub: the organisation employing the people who build llama.cpp.

For anyone interested in local, hardware-independent AI, that’s worth keeping an eye on.

Sources

  • Hugging Face, GGML and llama.cpp join HF to ensure the long-term progress of Local AI, 20 February 2026. Hugging Face announcement
  • Georgi Gerganov, ggml.ai joins Hugging Face to ensure the long-term progress of Local AI, 20 February 2026. Original llama.cpp announcement
  • Reuters, 27 August 2026, reporting Nvidia’s agreement to acquire Hugging Face for $12.9 bn.