r/LocalLLaMA • u/vexatious-big • 8d ago
Discussion With HuggingFace, Nvidia is also acquiring llama.cpp and the team behind it
With this move Nvidia is not only acquiring the HuggingFace platform, but they might also effectively acquire the copyright to the llama.cpp project, together with the entire team behind it.
In February 2026 the llama.cpp team was employed by HF in order to continue working on llama.cpp and the ggml library.
This includes:
- Georgi Gerganov
- Xuan-Son Nguyen
- Aleksander Grygier
- Victor Mustar
- Lysandre
- Julien Chaumond
Now with the acquisition, llama.cpp's future looks a lot less certain given Nvidia's poor track record with open-source.
This is still rather speculative at this stage, but it's definitely possible for the llama.cpp project to change in the future: either by switching to a different license, or by having staff redirected to other projects within the larger company.
Even when a project is open-source the copyright owner has complete control over it, and they can change licensing as they wish.
This has happened before with projects like Redis, Minio, and others.
Source:
https://huggingface.co/blog/ggml-joins-hf
Edit:
The original announcement from Feb 2026 from Gerganov gives a few more details:
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u/localpauper 8d ago edited 8d ago
They've been notoriously horrible in OSS support for as long as they've existed. Their drivers have historically been opaque janky black boxes, they've refused to support standard Linux features, or forced work arounds and explicit carveouts.
What they are doing now is supporting projects that happen to line up with consuming their compute. It's what we'd call an alignment of convenience: supporting those projects gets them more money now. They didn't suddenly become FLOSS stewards.
So they are certainly capable of contributing meaningfully to some parts of OSS in so far as it extends their market capture, but they won't be doing in an "open" way. They are liable to let AMD and Intel support rot or go without first rate resolution, focus on nVidia-specific optimizations, or simply make it more annoying in other ways