
Hugging Face is reportedly in talks to be acquired for $13 billion or more.
No deal is confirmed yet.
The company is a key AI infrastructure player and recently rejected a $7 billion valuation offer from Nvidia.
What happened
Hugging Face has been approached to sell at a valuation of $13 billion or more, according to Business Insider. No deal has been reached, and the company has reportedly been talking to banks to help evaluate bids.
Why it matters
This comes amid increased interest in companies providing core AI infrastructure, as evidenced by Stripe's $7 billion acquisition of OpenRouter. Hugging Face last raised in 2023 at a $4.5 billion post-money valuation, and earlier this year turned down a $500 million investment from Nvidia that would have valued it at $7 billion.
What to watch
Hugging Face CEO Clem Delangue has said the company is "close to profitability" and focused on "long-term sustainability rather than short-term profits." Whether the startup is truly considering selling or simply fielding offers remains unclear.
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Hugging Face's potential acquisition at a $13 billion valuation marks a significant jump from its last funding round in 2023, when it was valued at $4.5 billion. The company has become a central hub for AI developers and researchers, where they share and deploy models, making it a key piece of AI infrastructure. This interest aligns with broader market moves, such as Stripe's acquisition of OpenRouter for $7 billion, showing a growing appetite for companies that provide foundational AI services.
CEO Clem Delangue has emphasized the company's commitment to its community and long-term sustainability over short-term profits. He noted that Hugging Face is "close to profitability" and only recently started using the money raised three years ago. This stance, along with the earlier rejection of Nvidia's investment to avoid a single dominant investor, suggests that any sale would need to align with the company's values and community responsibilities. Whether the talks lead to a deal remains uncertain, but the outcome could shape the future of open-source AI platforms.
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