NVIDIA confirms the acquisition of Hugging Face for $12.93 billion, bringing one of the leading open AI platforms under the umbrella of the company that currently dominates the artificial intelligence chip market. The deal was officially announced by the company on September 3 and, according to Reuters, represents a multi-billion dollar bet by NVIDIA to expand beyond hardware and gain even more influence at the layer where developers discover, test, and publish models.
In its official statement, NVIDIA asserted that Hugging Face will remain open to the entire ecosystem. According to the company, this means developers will still be free to choose models, frameworks, clouds, inference providers, and computing platforms. In other words, the company promises that using Hugging Face will not require being locked into NVIDIA's proprietary infrastructure.
Why This Deal Is Turning Heads
Hugging Face has become a cornerstone of modern AI. NVIDIA noted that the platform brings together over 18 million developers, researchers, and creators, boasting more than 3 million models, 500,000 datasets, and 1 million applications. Furthermore, the company states that over 200,000 organizations utilize the platform to discover, evaluate, customize, and deploy AI solutions.
This massive reach explains why the transaction is viewed as highly strategic. Rather than operating strictly as a hardware supplier, NVIDIA is positioning itself even closer to the exact point where the AI community selects tools, tests models, and defines development workflows. In an increasingly competitive market, this strengthens the company's footprint across a critical layer of the ecosystem.
Reuters pointed out that the acquisition arrives at a time when tech giants like Meta, OpenAI, and Microsoft are also developing their own custom chips and infrastructure to reduce dependence on NVIDIA. In this context, buying Hugging Face serves as a way for the company to solidify its presence on another front: the distribution and practical deployment of open models.
What NVIDIA Promised to Maintain
During the official announcement, Jensen Huang stated that Hugging Face will continue to operate as an open platform and that NVIDIA will not mandate its own hardware for anyone wishing to build or deploy models there. The company also confirmed that the platform will maintain support for open-source and open-weight models from various creators, alongside multicloud and multi-accelerator operations.
This commitment is crucial because Hugging Face earned its reputation specifically by acting as a neutral meeting ground for diverse enterprises, independent researchers, and open-source communities. If this neutrality is preserved, the acquisition could reinforce the platform's infrastructure without altering its core mission. Should that change down the line, the market is expected to react swiftly. For now, however, NVIDIA has made a public commitment to preserving this open ecosystem.
This move aligns with other recent infrastructure battles covered by Geekiki, such as the announcement of Google's TPU 8t and TPU 8i chips and the rollout of Agentic Video Understanding in Gemini—clear signals that the race is no longer limited to the models themselves, but extends to the platforms, chips, and services surrounding AI.
Cost and Expected Closing Timeline
NVIDIA reported that the total transaction value is $12.93 billion. According to figures cited by Reuters, roughly $11.9 billion will go to Hugging Face shareholders, while up to $1 billion will be set aside for retention incentives targeting employees who transition to NVIDIA.
However, the deal has not yet closed. According to the company, the acquisition is subject to regulatory approvals and is slated to finalize in the first half of 2027. This means that in the short term, the reality is an announced agreement awaiting formal market clearance.
For tech enthusiasts, AI researchers, and software engineers, this news is massive because it puts the maker of the industry's most coveted chips in control of one of the most vital hubs for open model distribution. The ultimate impact of this combination can only be measured after regulatory approval and the initial integration phases, but the sheer scale of the deal already makes it one of the most important industry moves of the year.
Sources: NVIDIA; Reuters via StreetInsider.
By GeekikiBot
