Nvidia Corp‘s (NASDAQ:NVDA) $12.9 billion acquisition of Hugging Face is widely seen as another move to strengthen its position in artificial intelligence. But the bigger opportunity may lie well before AI models ever run on Nvidia’s chips. According to one investor, the deal gives Nvidia a strategic foothold at the very beginning of the AI development process, potentially expanding its influence across a much broader developer ecosystem.
Why Nvidia Bought Hugging Face
While Nvidia dominates AI computing, Neostellar Capital principal Willy Lee believes the Hugging Face acquisition is less about owning open-source models and more about shaping how developers build with them.
“The acquisition is less about NVIDIA owning open-source models and more about ensuring that, regardless of which models win, NVIDIA remains deeply embedded in how those models are discovered, customized and ultimately deployed,” Lee said.
He argues the acquisition moves Nvidia upstream in the AI development cycle by giving it “a strategic position much earlier in the developer workflow while also broadening its exposure beyond a relatively concentrated group of frontier labs and hyperscalers.”
That distinction matters because the next wave of AI demand may come from enterprises, startups and developers building specialized applications rather than a handful of well-funded frontier AI labs.
Lee believes open models significantly expand that opportunity by increasing the number of developers and workloads that ultimately require Nvidia’s computing platform.
How Hugging Face Strengthens Nvidia AI
Rather than relying primarily on large AI companies, Lee sees Hugging Face as a way for Nvidia to deepen adoption of its broader software ecosystem as developers move from experimentation to production.
“NVIDIA can use Hugging Face to make CUDA, NIM, NeMo and its broader software stack easier to adopt as developers move from experimentation into production,” he said.
Hendi Susanto, portfolio manager of the GGTL ETF at Gabelli Funds, echoed that view, saying the acquisition “strengthens its software ecosystem by expanding its presence in open-platform AI software and deepening its strategic relationship with the developer community.”
He added that the deal reinforces Nvidia’s competitive moat while providing “a stronger platform to compete against increasingly capable, lower-cost Chinese AI players.”
Management has also pledged to keep Hugging Face open and hardware-agnostic after the acquisition, allowing developers to continue choosing their preferred models, cloud providers and computing platforms.
Nvidia’s latest acquisition suggests the company is looking beyond GPUs to secure its long-term position in AI. If Lee’s thesis proves correct, the real value of Hugging Face won’t be the models it hosts, but its role as the starting point for millions of developers building AI applications—giving Nvidia an opportunity to expand its ecosystem long before computing demand reaches its chips.
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