# The Real Reason Nvidia Paid 12,9 Billion For Hugging Face? Dietmar's Opinion 💡

Page: https://stenobird.com/podcast/a-beginner-s-guide-to-ai-6564486/the-real-reason-nvidia-paid-12-9-billion-for-hugging-face-dietmar-s-opinion
Text version: https://stenobird.com/podcast/a-beginner-s-guide-to-ai-6564486/the-real-reason-nvidia-paid-12-9-billion-for-hugging-face-dietmar-s-opinion.md
Podcast: [A Beginner's Guide to AI](https://stenobird.com/podcast/a-beginner-s-guide-to-ai-6564486)
Published: 2026-09-02T17:16:31+00:00
Episode link: https://shows.acast.com/beginners-guide-to-ai/episodes/the-real-reason-nvidia-paid-129-billion-for-hugging-face-die
Audio file: https://sphinx.acast.com/p/open/s/6953b9ead0c0aeaf12bcbd70/e/6a9732a066efea21e019514e/media.mp3
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Duration seconds: 586

## Resource

Why Nvidia May Pay $12.9 Billion to Keep AI Open Why would Nvidia reportedly pay $12.9 billion for Hugging Face, a company with approximately $150 million in annualized revenue? The conventional answer is growth. But the more interesting answer is strategic control, says Shreyasee Majumder, Social Media Analyst at GlobalData . In this episode of Beginner’s Guide to AI , Dietmar Fischer examines the reported Nvidia Hugging Face acquisition and the larger battle behind it. Hugging Face is not only a website where developers download and test AI models. It is a central platform for open-source AI models, datasets, applications, inference, fine-tuning, infrastructure, and developer collaboration. That makes Hugging Face strategically important to Nvidia. Google, Amazon, Microsoft, OpenAI, and other major technology companies are developing their own AI chips, closed models, and integrated infrastructure. Their goal is to control more of the AI value chain. Nvidia, however, still benefits when developers and companies can choose open models and run them on Nvidia hardware. This creates the central argument of the episode: Nvidia may need open-source AI not only as a technical movement, but as a market that continues to generate demand for its GPUs and CUDA ecosystem. You will learn: 💰 Why Hugging Face could justify a valuation far above its present revenue 🧠 Why Nvidia’s AI strategy is about more than semiconductor performance 🔓 How open-source AI can reduce dependence on closed model providers 🔒 Where security, governance, and vendor lock-in enter the debate ⚙️ Why CUDA and Nvidia’s developer ecosystem form a powerful competitive advantage 🏗️ How custom chips from Google, Amazon, Microsoft, and OpenAI could threaten Nvidia ♟️ Why the reported acquisition resembles a defens…

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