OpenAI Raises $110 Billion

OpenAI announced that it is raising $110 billion in a funding round that would value the ChatGPT maker at $840 billion, marking one of the largest capital raises in technology history and underscoring the intense investment momentum in artificial intelligence. 

Major technology firms and investors including Amazon, Nvidia, and SoftBank are participating in the round, eager to establish closer partnerships with OpenAI as the company scales its data center infrastructure and positions itself at the center of the AI ecosystem.

Amazon will invest $50 billion in total, starting with an initial $15 billion followed by an additional $35 billion in the coming months, subject to certain conditions. As part of the funding agreement, OpenAI and Amazon announced that OpenAI will use 2 gigawatts of computing power powered by Amazon's proprietary Trainium chips, and Amazon Web Services will become the exclusive third-party cloud provider for OpenAI's enterprise platform, which organizations use to build, deploy, and manage AI agents.

Nvidia is investing $30 billion in the round, though it remains unclear whether this supersedes its prior commitment announced in September, when Nvidia said it would invest up to $100 billion in the startup. OpenAI and Nvidia have not yet responded to requests for clarification on how the new investment relates to the earlier figure. SoftBank is also participating as a major investor, continuing its pattern of large-scale bets on AI infrastructure and application companies.

OpenAI has been raising capital regularly to fund the immense computing infrastructure required for training and deploying large language models, and this round gives the company a significant runway to continue scaling its operations and competing with rivals including Anthropic, Google DeepMind, and emerging labs. The $840 billion valuation places OpenAI among the most valuable private companies in the world, and the involvement of multiple strategic investors suggests the funding was structured to balance capital needs with partnership priorities across cloud, hardware, and enterprise deployment.