Sources: OpenAI offered to invest ~$100M in Hugging Face before Nvidia's $13B acquisition, but talks fell apart; AMD and Salesforce also held talks
Before Nvidia agreed to pay roughly $13 billion to buy open-source platform Hugging Face this month, OpenAI tried to invest $100 million into the startup …LinkedIn:Kate RooneyLinkedIn:Kate Rooney:CNBC scoop: OpenAI sparked Hugging Face bids with early investment offer ahead of Nvidia's $13 billion deal 💸 …
Context & Ripple Effects
Hugging Face had reportedly resisted Nvidia’s late-2025 investment proposal because it did not want a single dominant investor, before reports in August described a roughly $12.9 billion Nvidia acquisition agreement. The reported $100 million OpenAI offer adds another prospective buyer or strategic backer to that contest.
The episode also sits alongside reports that OpenAI was seeking major funding from Nvidia and Microsoft, underscoring how frontier-lab financing discussions overlap with control of AI-development infrastructure.
First-order effects
- OpenAI’s reported investment proposal failed, leaving it without the minority position in Hugging Face it had sought as Nvidia’s reported acquisition moved forward.
- Nvidia’s reported deal would place a widely used open-source AI platform under the same company that supplies AI compute, subject to completion of the transaction.
Second-order effects
- AMD and Salesforce, both reported to have held talks, face the prospect that a strategic platform they explored will be tied more closely to Nvidia rather than available as an independent partner.
- The failed OpenAI proposal makes a minority investment a less viable route for major AI companies seeking influence over core developer platforms when a full acquisition is in play.
Third-order effects
- If AI chipmakers and frontier labs increasingly pursue ownership stakes in shared development platforms, the industry’s open tooling layer may become more tightly coupled to the capital and compute providers behind it.
- The contest points to AI infrastructure being valued not only for software revenue but for its ability to shape developer distribution, model access, and compute demand.
The trend: AI infrastructure is moving toward vertical integration as compute providers and frontier labs compete for influence over the platforms that organize model development.