OpenAI Raises $110B, Pairs Amazon and NVIDIA Deals to Scale AI

OpenAI said on February 27, 2026 that it had lined up $110B in new investment at a $730B pre-money valuation. The round includes $30B from SoftBank, $30B from NVIDIA, and $50B from Amazon. In the same announcement, OpenAI also disclosed a strategic partnership with Amazon and an expansion of its collaboration with NVIDIA, tying the financing story directly to cloud distribution and physical compute.

According to OpenAI, the NVIDIA portion is not just financial. The company says it will use 3 GW of dedicated inference capacity and 2 GW of training capacity on Vera Rubin systems as it tries to keep up with demand from ChatGPT, Codex, and enterprise deployments. Amazon is positioned as both an investor and a long-term commercial partner, which matters because the cost and availability of inference capacity have become a limiting factor for large-scale model rollouts.

Key Facts

• $110B in new investment at a $730B pre-money valuation.
• Named investors in the announcement: $30B SoftBank, $30B NVIDIA, $50B Amazon.
• OpenAI said it signed a strategic partnership with Amazon.
• OpenAI said its NVIDIA collaboration will expand to 3 GW of inference capacity and 2 GW of Vera Rubin training capacity.

The post also gives a current demand snapshot. OpenAI says weekly Codex users have more than tripled since the start of the year to 1.6M, it now has more than 9 million paying business users, and ChatGPT has more than 900M weekly active users plus more than 50 million consumer subscribers. Those figures help explain why capital, cloud distribution, and chips were bundled into the same message: the company is arguing that scale is now an operating requirement rather than a future ambition.

For the broader market, the announcement shows how AI competition is shifting from model quality alone to the ability to finance, source, and deploy infrastructure quickly. The round is large even by late-stage AI standards, but the more important detail is that OpenAI paired funding with named compute commitments. Execution still matters, yet the deal gives OpenAI a larger margin to absorb growing inference demand while competitors chase the same supply chain.