Nvidia’s Hugging Face deal is a bet on open models — and proof it’s no longer just a chip company

Nvidia has acquired Hugging Face for $12.93 billion in what could be seen as the tech giant's bet on open models. Nvidia CEO Jensen Huang assured that Hugging Face will retain its open platform status and neutrality, stating that Nvidia compute will not be required to build or deploy through the platform. The acquisition is seen as addressing the critical distribution layer of open AI, which has been underfunded relative to its importance.

With over 3 million models, 500,000 datasets, and 1 million applications, Hugging Face has become the de facto front door to open AI, hosting more than 18 million developers and researchers and more than 200,000 companies. The platform's growth is necessary to keep up with the increasing demand for open-weight models, which now approach the quality of frontier proprietary models at lower costs.

Nvidia's investment in reliability, safety, model evaluation, inference, and deployment aligns with the friction enterprises face when moving open models from a notebook into production. By funding the layer around models, Nvidia aims to shorten selection cycles, improve supply-chain security, and provide turnkey inference paths, making it easier for enterprises to adopt open models.