stargate project - abilene campus (oracle/crusoe)
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stargate project - abilene campus (oracle/crusoe)
First operational Stargate facility; Oracle 15-year lease; designed for 100,000 GPUs on single network fabric
| Investment | $40.0B |
| Power Capacity | 1.2 GW |
| Location | Abilene, Taylor County, Texas |
| Status | Operational |
project overview
First operational Stargate facility; Oracle 15-year lease; designed for 100,000 GPUs on single network fabric
location and scale
| Location | Abilene, Taylor County, Texas |
| Region | West Texas |
| Status | Operational |
| Total Investment | $40.0B |
| Power Capacity | 1.2 GW |
| Total Area | 4.0M sq ft |
key stakeholders
| Sponsors | OpenAI, Oracle, SoftBank, Crusoe Energy, Lancium |
| Operators | Oracle, Crusoe Energy |
| Tenants | OpenAI |
investment breakdown
The $40.0 billion investment is distributed across multiple components:
| Component | Amount | Percentage |
| IT Equipment (GPUs, servers, networking) | $26.0B | 65% |
| Building and Construction | $8.0B | 20% |
| Power Infrastructure | $4.0B | 10% |
| Other (cooling, security, land) | $2.0B | 5% |
equipment refresh cycles
IT equipment typically requires replacement every 3-5 years, meaning:
- Initial deployment: $26.0B
- 3-year refresh: Additional $20.8B estimated
- Total over 10 years: $65.0B in equipment
infrastructure requirements
power capacity
The facility requires 1.2 GW of power capacity:
| Total Power Capacity | 1.2 GW |
| Equivalent Homes Powered | 1,000,000 |
| Annual Energy Consumption | 10,512 GWh/year |
| Renewable Energy | Yes - committed to renewable sources |
facility specifications
| Total Area | 4.0M sq ft |
| Raised Floor Space | 2.8M sq ft (estimated) |
| Power Density | 428 W/sq ft |
sustainability and cooling
| Cooling Technology | Water-based cooling systems |
| Renewable Energy | Yes - renewable energy integration |
Zero-water evaporation cooling system; natural gas turbines for backup; renewable energy integration planned
construction timeline
| Announced | 2025-01 |
| Construction Start | 2024-06 |
| Expected Completion | 2026-06 |
development phases
| Phase | Description | Completion |
| Phase 1 | 2 buildings, 200+ MW | 2025-H1 |
| Phase 2 | 6 buildings, 1000 MW | 2026-06 |
economic impact analysis
job creation
| Peak Construction Jobs | 80,000 |
| Permanent Operations Jobs | 240 |
| Average Salary (estimated) | 120,000 |
economic multiplier effects
The project’s total economic impact extends beyond direct investment:
| Direct Investment | $40.0B |
| Total Economic Impact (2.5x multiplier) | $100.0B |
| Estimated Annual Tax Revenue | $200M |
| 30-Year Tax Revenue | $6.0B |
regional benefits
The project brings significant benefits to Texas:
- Supply chain development: Local suppliers for construction materials, equipment, and services
- Infrastructure investment: Improved power grid, roads, and telecommunications
- Technology ecosystem: Attracts related tech companies and talent
- Educational partnerships: Training programs and university collaborations
- Real estate development: Increased commercial and residential development
technical specifications
workload types
| Workload Type | Description |
| HYPERSCALE | Large-scale cloud computing and storage |
| AI-ML | Artificial Intelligence and Machine Learning training and inference |
| CLOUD | Public cloud services and platforms |
ai/ml capabilities
This facility is specifically designed for AI/ML workloads with:
- High-density GPU computing: NVIDIA H100, H200, or GB200 GPUs
- Advanced cooling: Direct-to-chip liquid cooling for high power densities
- High-speed networking: 400G/800G Ethernet or InfiniBious InfiniBand
- Massive storage: Multi-exabyte storage capacity for training data
- Low-latency architecture: Optimized for distributed training workloads
rack density and power
| Rack Power Density | 30-100+ kW per rack (AI-optimized) |
| Cooling Technology | Direct liquid cooling (DLC) / Immersion cooling |
| PUE Target | 1.1 - 1.3 (industry leading) |
strategic importance
competitive positioning
This mega-project represents a strategic investment by OpenAI, Oracle, SoftBank to:
- AI Leadership: Establish dominance in AI infrastructure and capabilities
- Compute Capacity: Scale compute resources for next-generation AI models
- Competitive Response: Match or exceed competitor AI infrastructure investments
- Cloud Expansion: Grow public cloud market share and regional presence
- Customer Proximity: Reduce latency for regional enterprise customers
- Service Diversity: Enable new services requiring massive compute resources
national infrastructure significance
As a mega-project (>$10B investment), this facility:
- Represents a major commitment to US technology infrastructure
- Contributes to national AI competitiveness and security
- Demonstrates Texas’s emergence as a datacenter hub
- Sets new standards for scale and efficiency in datacenter design
regional integration
Texas datacenter ecosystem
This project integrates into Texas’s growing datacenter infrastructure:
- Power grid integration: Connection to regional transmission infrastructure
- Fiber connectivity: Access to major internet backbone routes
- Skilled workforce: Leverage regional technical talent and training programs
- Supply chain: Integration with local construction and equipment suppliers
community relations
Large-scale datacenter projects require strong community partnerships:
- Local hiring commitments: Priority hiring for construction and operations roles
- Educational partnerships: STEM programs and technical training initiatives
- Infrastructure improvements: Road, water, and utility infrastructure upgrades
- Tax revenue sharing: Property tax and incentive agreements with local governments
Taylor County impact
The project specifically impacts Taylor County through:
- Direct property tax revenue and economic development incentives
- Increased demand for housing, retail, and professional services
- Enhanced infrastructure that benefits broader community
- Recognition as a technology and innovation center
stakeholder analysis
project sponsors
OpenAI | Oracle | SoftBank | Crusoe Energy | Lancium
operators and tenants
Primary Operators: Oracle, Crusoe Energy
The operators manage day-to-day facility operations including power, cooling, security, and network management.
Key Tenants: OpenAI
Anchor tenants provide long-term revenue commitments and shape facility design requirements.
sources and references
- OpenAI’s first data center in $500 billion Stargate project is open in Texas - CNBC (2025-09-23) - https://www.cnbc.com/2025/09/23/openai-first-data-center-in-500-billion-stargate-project-up-in-texas.html
- Oracle to spend $40bn on Nvidia GPUs for OpenAI Texas data center - Data Center Dynamics - https://www.datacenterdynamics.com/en/news/oracle-to-spend-40bn-on-nvidia-chips-for-openai-texas-data-center/
- Crusoe expands AI data center campus in Abilene to 1.2 gigawatts - Crusoe Energy - https://www.crusoe.ai/resources/newsroom/crusoe-expands-ai-data-center-campus-in-abilene-to-1-2-gigawatts
related pages
analysis current as of October 2025