Nvidia Acquires AI Platform Hugging Face for $12.9 Billion

Nvidia has officially acquired Hugging Face for $12.93 billion, confirming weeks of speculation. Hugging Face is known for its extensive AI platform that hosts three million models, one million applications, and half a million datasets, serving over 18 million developers worldwide. Nvidia CEO Jensen Huang emphasized that Hugging Face will maintain its commitment to open-source and open-weight models, ensuring developers can choose their preferred models, frameworks, cloud providers, and computing platforms without being tied exclusively to Nvidia hardware. Huang highlighted Nvidia's existing contributions to the Hugging Face ecosystem, including releasing more than 500 models and 250 open datasets. The acquisition is seen as a strategic move to foster an open AI ecosystem aligned with Nvidia's hardware, allowing the company to better integrate its chips with AI development and inference workflows. Additionally, Nvidia plans to leverage its unused computing capacity by packaging it with Hugging Face's offerings for enterprise customers. Founded in 2016, Hugging Face has raised over $395 million in funding, with its latest $235 million round in 2023 led by Salesforce Ventures and supported by major tech companies like Google, Amazon, IBM, and Nvidia. Hugging Face CEO Clem Delangue expressed gratitude to the community and noted that scaling the platform requires increased compute resources, support, collaboration, and visibility, which Nvidia is positioned to provide. Hugging Face has gained significant traction, releasing new models regularly and generating an estimated $150 million in annualized revenue. The company had previously declined a $500 million acquisition offer from Nvidia last year. Its rapid growth is bringing it close to profitability. Nvidia has been a vocal advocate for open-weight AI models, viewing them as essential to maintaining competitive advantage in the global AI landscape. The company is heavily investing in AI research and development, having committed over $50 billion to AI frontier labs and recently entering a $6 billion partnership with coding startup Poolside to develop open models. Huang also highlighted the critical role of open models in cybersecurity, enabling autonomous, distributed defense systems. He noted that many emerging cybersecurity firms rely on these models, which are predominantly run on Nvidia hardware. In recent months, Nvidia's open models have helped Hugging Face defend against cyberattacks, outperforming proprietary alternatives. This acquisition marks a significant step in Nvidia's strategy to expand its influence in the AI ecosystem by supporting open innovation while integrating its hardware capabilities.