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Nvidia may be preparing to move from powering the AI boom to owning more of the ecosystem built on top of it.
The Information reported that the chipmaker has agreed to acquire Hugging Face, the widely used platform for sharing AI models, datasets and development tools, for $12.9 billion.
Neither Nvidia nor Hugging Face has publicly announced the transaction.
However, if completed, the deal would give Nvidia a deeper presence in the software and developer layers of AI, putting it closer to where companies choose models and how to deploy them. It would also add to a broader 2026 expansion spanning cloud infrastructure, enterprise data, networking, AI development and the physical systems needed to run AI workloads.
For enterprise customers, the bigger question is no longer just which Nvidia GPU sits inside the server. It is how much of the AI stack Nvidia ultimately wants to influence.
What eWeek found: Nvidia's 2026 spending reaches far beyond GPUs
A review of Nvidia's 2026 acquisitions and investments shows the company extending into multiple layers of the AI stack, rather than simply expanding its semiconductor portfolio.
Nvidia acquired enterprise data company Illumex and reportedly acquired predictive AI startup Kumo AI, according to Forbes. It also invested $2 billion in cloud provider CoreWeave, another $2 billion in optical networking specialist Coherent, backed Ilya Sutskever's Safe Superintelligence, and put capital into AI infrastructure companies SB Energy and Cloverleaf Infrastructure.
The company is also helping attract significantly more outside capital to the AI infrastructure buildout. On Aug. 10, Nvidia announced partnerships with Apollo, BlackRock, Blackstone, Brookfield, Goldman Sachs and KKR to establish financing platforms aimed at mobilizing more than $500 billion in third-party capital over time.
Taken together, those moves stretch from the electricity entering an AI data center to the models developers could eventually access through Hugging Face:
Power and data centers → networking → compute → enterprise data → AI models → developer platforms
That could give Nvidia a much broader role across the AI ecosystem than its traditional position as an accelerator supplier would suggest.
Nvidia and Hugging Face already have deep ties
A potential acquisition would build on years of collaboration.
In an Axios report, Nvidia participated in Hugging Face's $235 million Series D round in 2023, which valued the company at $4.5 billion. Google, Amazon, Intel, AMD, Qualcomm, IBM, Salesforce and Sound Ventures also participated.
The same year, Nvidia and Hugging Face announced a partnership to integrate DGX Cloud with the Hugging Face platform, giving developers access to Nvidia computing infrastructure for training and tuning AI models. Their relationship has since continued through Nvidia's DGX Cloud ecosystem.
At the reported $12.9 billion purchase price, Hugging Face would be valued at nearly three times its 2023 valuation and roughly 80 times its reported $150 million in annualized revenue, according to the Information.
That steep multiple suggests Nvidia would be paying for more than Hugging Face's current revenue, including its strategic position in the open-model ecosystem and its reach among AI developers.
Hugging Face also occupies an important position between model creators and the developers deciding how those models are trained, customized, and deployed. Owning the platform could give Nvidia a role earlier in enterprise AI decisions, before customers choose the infrastructure underneath their workloads.
Hugging Face could create a new tension for developers
Nvidia ownership could also raise questions about one of Hugging Face's strengths: its ability to work across competing infrastructure.
Hugging Face's own documentation lists support for Nvidia and AMD GPUs, AWS Inferentia accelerators and Google TPUs across its services and tooling. Its inference platform also spans AWS, Microsoft Azure and Google Cloud.
That flexibility matters to enterprises that want options when deciding where and how to run AI workloads.
An acquisition would create a central tension: the dominant supplier of AI accelerators owning the very platform developers use to deploy models onto rival hardware.
There is no indication that Nvidia plans to restrict Hugging Face's support for rival hardware or cloud platforms. With neither company having publicly announced the transaction, predicting changes to the platform would be premature.
Still, enterprises would have reason to watch whether Hugging Face retains the infrastructure flexibility that helped make it valuable in the first place.
What enterprises should watch next
For enterprise buyers, Nvidia's expansion could make decisions across the AI stack increasingly interconnected.
Hugging Face would put Nvidia closer to where developers choose and deploy models, adding another layer to a business that already reaches across compute, networking, software and AI infrastructure.
The key question is whether that expansion strengthens Nvidia's ecosystem without narrowing enterprises' ability to mix models, clouds and competing hardware.
The reported Hugging Face acquisition could still change or fall through. But Nvidia's broader direction is increasingly clear: the company wants a role in far more of the AI workload than the GPU alone.
Other news: OpenAI is narrowing its product focus around Codex, ChatGPT Work and Astra while strengthening safeguards for increasingly autonomous AI agents and facing growing competition from Anthropic.