OpenAI Stargate: operating capacity and announced plans
Stargate combines operating AI infrastructure with a much larger pipeline of announced sites and planned capacity.
Its original $100 billion figure was an initial funding pledge, not proof that $100 billion had already been spent. The broader $500 billion announcement described an infrastructure ambition. January 2025 funding announcement reporting identified OpenAI, SoftBank, Oracle and MGX as early funders. For anyone buying AI services, the consequential question is how that ambition becomes usable capacity, on what schedule, and under whose operational responsibility.
There is real infrastructure behind the announcement. Crusoe said the first phase of the Abilene campus was running on Oracle Cloud Infrastructure in September 2025. There is also a much larger construction pipeline: Epoch AI. “OpenAI Stargate: where the US sites stand.” maps seven U.S. locations with more than 9 GW of projected facility capacity. Its 2026 survey, using satellite images from spring 2026 among other evidence, estimates 0.3 GW operating at Abilene. That is a dated estimate, not a meter reading for every campus today.
Start with the measurement
A gigawatt is a power measure. It is not a GPU count, a model-quality score, or a quantity of API requests available to a customer. Epoch’s site figures describe total facility power, including cooling and other overhead. Some project announcements use IT power instead, and Epoch estimates facility power where needed to make the table comparable. Facility power and IT power distinctions
That distinction can change a headline substantially. A project described with 1.4 GW of IT power can have a larger total facility demand. A conversion from power to a number of H100-equivalent chips adds another assumption about hardware efficiency. Neither conversion establishes the actual installed accelerator mix or available service throughput.
Read a project announcement through these stages:
| Stage | What it establishes | What a buyer still needs |
|---|---|---|
| Announced investment | An expressed funding or development intention | Financing terms, committed counterparties and delivery dependencies |
| Planned facility power | The intended size of the site | Whether the figure is IT power or whole-facility power |
| Building delivery | A construction milestone | Energization, equipment installation and commissioning |
| Operating phase | Some infrastructure is running | Which models, workloads and customers it supports |
| Contracted service | A supplier’s obligations to a customer | Region, capacity entitlement, service commitments and remedies |
The distinctions between facility power and IT power, and between building handover and operation, come from Epoch AI’s planned-capacity inventory. The final column is a procurement checklist: it does not imply that any particular supplier has promised those terms.
Who builds the campus, and who supplies the compute?
Oracle’s cloud role does not make it the builder of every Stargate campus. Crusoe’s Abilene construction record says construction began in June 2024, the first two buildings were energized within a year, and Oracle began delivering Nvidia GB200 racks in June 2025. The release separates Crusoe’s design, engineering and construction role from the OCI service running in the facility.
Epoch identifies other builders across the network: Vantage in Shackelford County and Port Washington, STACK Infrastructure in Doña Ana County, SB Energy in Milam County, Related Digital in Saline Township, and a SoftBank-Foxconn manufacturing venture in Lordstown. It describes Oracle as the expected hardware owner at five sites, with SoftBank at Milam County and Lordstown, based on 2025 announcements.
For a contract review, distinguish the developer, property owner or lessor, power supplier, hardware owner and cloud-service provider. Those roles can sit in different companies. The distinction matters because a construction problem and a cloud-service problem may have different counterparties and contractual remedies. This is a way to inspect a proposed agreement, not a claim about the terms of every Stargate lease.
Abilene proves a phase, not the whole network
Crusoe’s operational Abilene announcement is useful precisely because it names a milestone. In September 2025, it reported early training and inference workloads and described an eventual eight-building campus supporting hundreds of thousands of GPUs. The operating first phase and the eventual campus are different scopes.
Epoch later estimated four buildings operating and projected 1.2 GW for the Abilene campus at completion. Its account also records a reversal of an earlier expansion plan and a Microsoft arrangement with Crusoe for adjacent capacity. Epoch AI’s Abilene assessment supports that change in project scope; it does not justify treating abandoned expansion capacity as capacity delivered to OpenAI.
The other sites are not replicas at identical stages. Epoch’s map includes gas-powered campuses in Texas and New Mexico, grid-connected developments in Wisconsin and Michigan, and a Lordstown operation primarily concerned with manufacturing AI servers and equipment. A manufacturing location should not silently become a completed AI compute hall in a total of delivered capacity. Epoch AI’s U.S. site map provides the site-level distinctions.
Power is a delivery question with local consequences
The power arrangement is part of the development schedule. In Texas Standard. “Texas becomes the epicenter of OpenAI’s $500 billion Stargate Project.”, Jennifer Hiller, the Wall Street Journal reporter covering renewable energy, explains why developers use on-site generation while waiting for grid connections. Her account identifies equipment, permitting, labor and engineering constraints, including long waits for large gas turbines.
That is a more useful account of the bottleneck than claiming money alone can buy an immediate grid connection. Defense News. “Power generation challenges could overshadow Stargate AI initiative.” January 24, 2025 also reported energy and computing-infrastructure concerns at the announcement stage. Neither source establishes a single completion date for all sites.
Epoch describes a mixture of grid supply and on-site generation, and widespread use of closed-loop cooling. These design choices answer different questions: where electricity comes from, how a facility removes heat, and how it uses water. Closed-loop cooling is not proof that the entire campus has no water demand; an on-site gas plant is not evidence of a carbon-free electricity supply.
Community pledges need similarly careful labels. CNBC. “Stargate live updates: OpenAI’s Altman says ‘people are right to be anxious’ about AI.” June 1, 2026 reports the June 2026 construction ceremony for a $16 billion Saline Township campus. It records commitments that project infrastructure and energy costs would not be passed to ratepayers. These are project commitments, not an independent finding about the final bills households will receive.
The same event included roughly $45 million in Codex credits for more than 400,000 eligible Michigan students for the 2026 through 2027 academic year, according to CNBC’s Michigan ceremony coverage. Credits, campus investment, projected taxes and operating capacity are separate measures. Adding them together would not produce a spending total.
What the buildout changes for an AI buyer
More infrastructure can expand a provider’s options. It does not by itself establish lower API prices, universal access to a new model, or a service commitment for an existing customer. Those outcomes depend on product and contract decisions as well as physical capacity.
Corporate capital expenditure adds another scope problem. Oracle’s total capital expenditure includes its wider business. It cannot be relabeled as money spent on Stargate without a project-specific allocation. A cross-company capex table is a comparison of corporate spending, not an accounting statement for this venture. CNBC’s infrastructure spending context
OpenAI’s conversion to a public benefit corporation concerns governance; compute-supply agreements concern access to infrastructure. In its dated October 2025 SEC filing, Microsoft said it gave up its right of first refusal on OpenAI’s compute. That statement also described continuing Azure commitments. Diversifying suppliers does not mean the older supplier disappears.
Ask a prospective provider to connect its infrastructure story to the service you will actually buy: the region, supported model, workload entitlement, capacity constraints and contractual availability terms. If the answer is a network-wide investment headline, the capacity question remains open. Abilene’s operating milestones establish that construction has produced usable infrastructure; they do not settle the commercial terms of your deployment.

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