Building the compute infrastructure for the Intelligence Age

Stargate is OpenAI’s long-term effort to build the compute foundation required to deliver the benefits of AGI broadly and reliably to the world. To meet the accelerating demand for AI across consumers, businesses, developers, and governments, we are continuing to expand our compute footprint and bring new capacity online faster. We are building together with partners, local communities, and the broader infrastructure ecosystem to help get ahead of shortages for the emerging compute-powered economy.

When we announced Stargate in January 2025, we committed to securing 10GW of AI infrastructure in the United States by 2029. Just over a year later, we have already surpassed that milestone, with more than 3GW added in the last 90 days alone, as demand for AI continues to accelerate.

That demand is growing quickly. The only responsible way to meet it is to build more compute, faster.

Our strategy has not changed because the reality has not changed: bringing the benefits of AI to more people requires more compute.

Compute is the critical input that makes advanced AI possible. It is what allows us to train better models, serve them reliably, improve performance, lower costs over time, and bring more powerful tools to more people. It is also the center of our AI flywheel: more compute enables better models, better models drive more usage, more usage improves products and revenue, and that allows us to reinvest in more infrastructure.

The financing models and partnership structures may evolve, but what matters is capacity coming online at scale, on time, and in a way that preserves flexibility as technology and demand evolve.

Building an ecosystem

Our approach is intentionally partner-centric. We want the ecosystem to succeed alongside us because delivering the compute required for the Intelligence Age will take all of us working together.

Why we are looking at more sites

Building with communities

Compute is a critical differentiator, but how we build matters too.

capability overhang⁠(opens in a new window)—the productivity gap between those who are power users of AI and those who are not—in order to ensure the economic opportunities of AI are broad based.