英伟达将收购 Hugging Face
Nvidia to Acquire Hugging Face

原始链接: https://blogs.nvidia.com/blog/nvidia-to-acquire-hugging-face/

NVIDIA 宣布以 129.3 亿美元收购 Hugging Face,旨在扩展该平台并提升全球 AI 开发的普及度。Hugging Face 汇聚了超过 1800 万开发者以及数以百万计的模型和数据集,未来将继续作为一个独立的开源平台运营。 NVIDIA 强调,该平台将保持硬件无关性;用户仍可自由选择偏好的框架、云服务和计算基础设施,无需强制使用 NVIDIA 硬件。此次合作旨在利用 NVIDIA 的全球工程和基础设施能力,提升平台的可靠性、安全性和部署效率。 双方均重申了对开放权重模型的承诺,认为这对于实现 AI 民主化、促进创新,以及确保医疗和教育等多元领域都能获得先进的 AI 能力至关重要。通过将 Hugging Face 纳入 NVIDIA 生态系统,此次合作旨在为开源 AI 社区提供更坚实的基础,同时保持 Hugging Face 平台协作与包容的精神。

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原文

I’m excited to announce that NVIDIA has agreed to acquire Hugging Face for $12,930,300,000. Together, we will scale Hugging Face’s platform, strengthen its infrastructure and expand access to AI for developers and institutions worldwide.

Over the past decade, Clem, Julien, Thomas and the team at Hugging Face have built something remarkable: a vibrant home for the open model developer community.

More than 18 million developers, researchers and creators use Hugging Face to share more than 3 million models, 500,000 datasets and 1 million applications. More than 200,000 companies use the platform to discover, evaluate, customize and deploy AI.

Hugging Face will remain an open platform for the entire AI ecosystem. Developers will choose the models they want, the frameworks they want, the clouds and inference service providers they want and the computing platforms they want. NVIDIA compute will not be required to build on or deploy through Hugging Face.

Hugging Face will continue to support open source and open weight models from across the ecosystem, from every model builder. It will continue to support multi-cloud and multi-accelerator development and deployment, so builders can use the hardware and infrastructure that best fit their work.

Recently, I coauthored an open letter on the importance of open weights to the AI economy. Joined by leaders from across the industry, we made a simple point: open weights broaden access to AI and help ensure that AI leadership is distributed across companies, institutions and communities.

Open models let startups, businesses, universities and public institutions build on advanced capabilities without training every model from scratch. They enable organizations to match the right model to the right job. That is how AI can advance safely, strengthen cybersecurity and sovereignty, accelerate innovation, and reach factories, hospitals, farms, classrooms and Main Street businesses around the world.

AI advances faster when people can build together.

NVIDIA has been committed to open weight models for years, demonstrated by multiyear investments and major contributions to open source platforms, including Hugging Face. NVIDIA has said that open models, data and tools broaden access to AI, and it has contributed hundreds of open models and datasets to Hugging Face as part of that effort.

  • NVIDIA is the largest contributor of open models and data to Hugging Face, and our contributions continue to grow.
  • NVIDIA has released more than 500 models on Hugging Face and more than 250 open datasets.
  • We build our own models, libraries and tools in the open so developers everywhere can use them, modify them and build on top of them.

As the opportunity for open models accelerates, Hugging Face can serve the global AI community at unprecedented scale. NVIDIA’s infrastructure, engineering and global reach can help improve platform reliability, safety, model evaluation, inference and deployment capabilities, while preserving the open ecosystem that made Hugging Face foundational.

I am honored that Clem came to me as he considered the next chapter of Hugging Face and believed NVIDIA would be a great home for the company, its community and the future of open models. We share this vision, and the Hugging Face team will now bring their passion and expertise to a much larger canvas, with their same iconic 🤗 brand.

To the millions of builders on Hugging Face: thank you for pushing the boundaries of what is possible. We can’t wait to build the future together with you. Together, we will make AI more open, more capable and more accessible to people and institutions around the world.

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