Key Highlights:
- OpenAI will expand major infrastructure partnerships with Amazon and Nvidia to scale AI deployment globally.
- OpenAI has raised $110 billion in private funding at a $730 billion pre-money valuation.
- Amazon leads the round with $50 billion, followed by $30 billion each from Nvidia and SoftBank.
- The funding round remains open, with more investors expected to join.
OpenAI has raised $110 billion in private funding, marking one of the largest private investment rounds in history. The company announced the deal on Friday morning. The round values OpenAI at a $730 billion pre-money valuation and remains open to additional investors.
The funding includes a $50 billion investment from Amazon, along with $30 billion each from Nvidia and SoftBank. While the exact cash-versus-services split was not disclosed, OpenAI indicated that part of the investment likely comes in the form of infrastructure and compute commitments.
This round follows OpenAI’s March 2025 funding, which raised $40 billion at a $300 billion valuation. At the time, that deal was the largest private funding round on record. This new raise more than doubles that benchmark.
Why is OpenAI raising such a massive amount now?
OpenAI says it is entering a new phase where frontier AI moves from research labs into everyday global use. Demand for large-scale AI systems continues to surge across enterprises, developers, and consumer platforms.
According to the company, leadership in AI will depend on who can scale infrastructure fast enough and convert that capacity into reliable products. As models grow larger and more capable, the need for compute, power, and specialized chips has become a defining constraint.
As a result, OpenAI is prioritizing long-term infrastructure partnerships rather than short-term compute access.
What does Amazon’s $50 billion investment include?
Amazon’s investment forms the largest portion of the new funding round. As part of the deal, OpenAI plans to build a new “stateful runtime environment” for its models on Amazon’s Amazon Bedrock platform.
This environment will allow OpenAI models to run with memory, persistence, and context across sessions. That capability is critical for advanced AI agents and long-running applications.
In addition, OpenAI will significantly expand its existing partnership with Amazon Web Services. The two companies had previously announced a $38 billion compute commitment. That figure will now increase by $100 billion.
As part of the agreement, OpenAI has committed to consuming at least 2 gigawatts of AWS Trainium compute. It also plans to develop custom models to support Amazon’s consumer-facing products.
Amazon CEO Andy Jassy said developers are eager to deploy OpenAI-powered services on AWS, adding that the stateful runtime environment will expand what AI applications can do.
Are there conditions tied to Amazon’s investment?
The Information previously reported that $35 billion of Amazon’s investment could depend on OpenAI achieving artificial general intelligence or completing an IPO by the end of the year.
OpenAI’s announcement confirms the funding split but does not reference AGI or an IPO directly. Instead, the company said the additional $35 billion will arrive “in the coming months when certain conditions are met.”
What role does Nvidia play in the deal?
OpenAI shared fewer operational details about its partnership with Nvidia. However, the company confirmed it has committed to using 3 gigawatts of dedicated inference capacity and 2 gigawatts of training capacity on Nvidia’s Vera Rubin systems.
Nvidia’s involvement had been closely watched. Earlier reports suggested a potential $100 billion investment, followed by speculation that the figure would be lower.
In January, Nvidia CEO Jensen Huang addressed those rumors directly. He said Nvidia planned to invest heavily and expressed confidence in OpenAI’s work.
Why does infrastructure matter more than cash in AI funding?
Unlike traditional software companies, AI firms depend on enormous physical infrastructure. Power availability, data center capacity, and specialized chips directly limit how fast AI systems can grow.
Because of that, many AI funding rounds blend capital with long-term service commitments. Compute access can be more valuable than cash, especially at global scale.
For OpenAI, these partnerships secure predictable access to training and inference resources. That stability allows the company to plan multi-year product and research roadmaps.
What does this funding mean for the AI industry?
This funding round signals a shift in how AI competition is defined. Model quality still matters. However, the ability to deploy AI reliably at massive scale is becoming equally important.
By aligning closely with Amazon and Nvidia, OpenAI is positioning itself for that next phase. At the same time, the size of the round underscores how capital-intensive frontier AI has become.
As the round remains open, more investors may join, potentially pushing the total even higher. For now, OpenAI’s $110 billion raise sets a new benchmark for private AI funding and reshapes expectations for what it takes to compete at the top.
