--- title: "Building the compute infrastructure for the Intelligence Age" source_name: "OpenAI Blog" original_url: "https://openai.com/index/building-the-compute-infrastructure-for-the-intelligence-age" canonical_url: "https://www.traeai.com/articles/8d3fbc1d-8031-4933-8dec-f85ca6d4fea1" content_type: "article" language: "英文" score: 8.5 tags: ["AI","基础设施","OpenAI"] published_at: "2026-04-29T15:00:00+00:00" created_at: "2026-04-30T02:40:57.199705+00:00" --- # Building the compute infrastructure for the Intelligence Age Canonical URL: https://www.traeai.com/articles/8d3fbc1d-8031-4933-8dec-f85ca6d4fea1 Original source: https://openai.com/index/building-the-compute-infrastructure-for-the-intelligence-age ## Summary OpenAI的Stargate项目旨在构建大规模计算基础设施，以满足日益增长的AI需求。该项目通过与多方合作，确保在2029年前在美国部署10GW的AI基础设施，并注重社区参与和可持续发展。 ## Key Takeaways - OpenAI计划在2029年前在美国部署10GW的AI基础设施。 - Stargate项目强调与合作伙伴共同建设，包括云服务、芯片制造商等。 - 项目注重社区参与和可持续发展，如使用封闭循环冷却系统节约水资源。 ## Content Title: Building the compute infrastructure for the Intelligence Age URL Source: http://openai.com/index/building-the-compute-infrastructure-for-the-intelligence-age Markdown Content: 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. We are doing this with partners because no single company can build the infrastructure for the Intelligence Age alone. Building AGI infrastructure at this scale requires coordination across the entire ecosystem: local communities, utilities, energy providers, chipmakers, cloud providers, neoclouds, construction firms, investors, skilled trades, and public sector partners. 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. That’s why Stargate brings together companies with deep expertise in cloud infrastructure, data centers, chips, energy, construction, finance, and operations. These partnerships help us move faster, build more efficiently, reduce execution risk, and preserve optionality as the technology changes. As we plan beyond the initial 10GW goal, OpenAI and our partners are evaluating potential data center locations across the country, and will significantly expand our compute capacity in the years ahead. These projects are complex, and they require the right combination of power, land, permitting, transmission, workforce, community support, and partner readiness. But the reason we are looking is simple: demand for AI is growing, and we are moving quickly to secure the infrastructure needed to meet it. Compute is a critical differentiator, but how we build matters too. AI infrastructure should create clear local upside. That means good jobs, strong schools, new local revenue, responsible energy planning, careful water stewardship, and early engagement with state and local leaders. This week, we launched our community engagement program with a donation to the Port Washington-Saukville Education Foundation in Wisconsin alongside Vantage Data Centers and Oracle. The funding will support student opportunity, educator resources, and workforce readiness programming. This is the first of many local investments we expect to make in communities connected to Stargate infrastructure projects. We want these partnerships to be long-term, practical, and shaped by the priorities of the communities themselves. Our work with North America’s Building Trades Unions (NABTU) and affiliated skilled trades unions reflects the same approach. Building AI infrastructure at this scale requires a trained workforce that can deliver safely, quickly, and to a high standard. These projects can create new job pathways into the Intelligence Age for skilled workers and apprentices, not just engineers and researchers. Our Stargate site in Abilene, Texas shows how we think these projects should work. Abilene demonstrates that frontier AI infrastructure can be built quickly, responsibly, and in partnership with the surrounding community. It also shows that growth and stewardship can go together. Water is one area where details matter. Like many data centers, the Abilene site uses closed-loop cooling rather than traditional evaporative cooling towers. Once the system is filled, water continuously moves through sealed pipes and is recirculated rather than consumed. For Abilene, the one-time initial fill for each building is equal to roughly two Olympic-sized swimming pools. After that, annual water use for the entire cooling system at full buildout is expected to be comparable to a medium-sized office building, or about four average households. Responsible infrastructure matters because compute directly shapes what AI systems can do. That approach is already translating into more capable AI systems. Our latest and smartest model yet, GPT‑5.5, was trained at our flagship Stargate site in Abilene, Texas. The site operates on Oracle Cloud Infrastructure and runs NVIDIA GB200 systems. This model brings intelligence closer to people around the world and businesses big and small so they can just build things. GPT‑5.5 helps close the [capability overhang⁠(opens in a new window)](https://cdn.openai.com/pdf/openai-ending-the-capability-overhang.pdf)—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. The countries and companies that can build and scale compute will help shape the future of AI. More compute lets us train stronger models. Better systems let us serve those models faster and more reliably. Greater efficiency helps us lower the cost of delivering intelligence over time. Together, those improvements make it possible for more people and businesses to use AI to build, learn, discover, and solve problems. That is the point of Stargate: to build the infrastructure needed to bring the benefits of AI to everyone. We are ahead of schedule, but the work is just beginning. Demand is growing. The opportunity is enormous. And the communities that help build this infrastructure should share in the upside. The Intelligence Age will not arrive on its own. It has to be built. And we are building it alongside our partners and local communities for the benefit of all of humanity.