Nvidia already supplies many of the chips that power AI. Now it wants to own one of the biggest platforms where developers find and share AI models.
The $13 billion deal has caught the attention of US regulators.
And their concerns go well beyond the price tag.
Hereās whatās happening.
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š THE BIG READ
Nvidiaās $13 billion AI deal faces US scrutiny
The US Department of Justice is asking questions about Nvidiaās planned $12.93 billion acquisition of Hugging Face, according to Reuters.
The deal was announced in September. Now regulators are examining whether it could give Nvidia too much control over the AI industry.
Why is Hugging Face so important?
Think of it as a shared library for AI developers. It hosts more than 3 million AI models, serves 18 million users, and is used by over 200,000 companies.
Nvidia already dominates the chips that power advanced AI. Owning Hugging Face would give it a closer connection to the developers choosing which AI models, tools, and hardware to use.
Thatās especially valuable as Google, Amazon, and Microsoft build competing AI chips.
Thereās an interesting backstory, too.
Last year, Hugging Face reportedly rejected a $500 million investment from Nvidia, partly to protect its independence. Months later, it agreed to sell the entire company.
Now the DOJ wants to know whether Nvidia could favor its own technology on the platform.
Nvidia promises to keep Hugging Face open to competing chips and cloud services. No wrongdoing has been established.
The deal is expected to close in the first half of 2027, pending approvals.
But one question remains: Can Hugging Face stay open and fair to everyone once Nvidia owns it?
Read what US regulators are investigating ā
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š” ON THE RADAR
Reddit is preparing to put more content behind logins: As AI search reduces traffic from Google, Reddit plans to move toward a primarily logged-in experience. US daily active users fell from 53.2 million to 50.7 million in Q3.
OpenAI doubles usage limits for some Pro subscribers: Pro 100 and Pro 500 users get twice the previous Work and Codex quotas. Pro 200 also receives higher limits, while Plus remains unchanged.
Googleās revenue jumps 25%, but investors arenāt impressed: Alphabet reported $127.58 billion in quarterly revenue, slightly below expectations. Google Cloud revenue more than doubled to $30.7 billion.
Google introduces Gemini 4 Carbon for cybersecurity: The new model focuses on finding software vulnerabilities and fixing security flaws. Access begins with selected cybersecurity teams before a wider release.
Mistral releases a 1-trillion-parameter open AI model: Mistral Large 4, also called Le Chonk, is now available as an open-weight model, with improved coding, reasoning, and cybersecurity capabilities.
Meta launches an AI stylist that uses your own clothes: Style Sketch builds a virtual wardrobe from your photos and suggests outfits. Itās currently available in Indonesia, Singapore, and Thailand.
New York restricts unsafe AI chatbots for children: Governor Kathy Hochul signed legislation banning harmful chatbot features for minors, including bots that pretend to be human or encourage self-harm.
š¦ TOP TWEET OF THE WEEK
āļø WORTH A TRY AI TOOLS
Chopstick: Create custom desktop widgets for your Mac using AI coding tools like Claude Code, Codex, or Cursor. Build small tools, track work activity, and keep useful information right on your desktop.
StoreLocale: Translate App Store and Google Play screenshots into 32 languages with AI. It replaces text inside the screenshots while preserving the original layout, helping developers prepare app listings for different countries.
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š BEFORE YOU GO
Nvidia wants the library. Reddit wants a login. Google is giving its cyber AI to a few teams first.
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