OpenAI to Build Five New Stargate AI Data Centers with Oracle and SoftBank

Lilu Anderson
Photo: Finoracle.net

OpenAI Expands Stargate AI Data Center Network Across the U.S.

OpenAI announced plans to develop five new AI data centers as part of its Stargate project, collaborating with technology giants Oracle and SoftBank. This initiative aims to significantly boost OpenAI’s infrastructure to support the training and deployment of increasingly advanced artificial intelligence models.

The new data centers will collectively add 7 gigawatts of power capacity, an amount sufficient to energize more than five million American homes, underscoring the scale of OpenAI’s commitment to expanding its computational capabilities.

Geographic Distribution and Partners

  • Three data centers, developed in partnership with Oracle, will be located in Shackelford County, Texas; Doña Ana County, New Mexico; and an undisclosed site in the Midwest.
  • Two additional centers will be built with SoftBank’s collaboration, situated in Lordstown, Ohio, and Milam County, Texas.

This geographic diversity is strategic, enhancing network resilience and optimizing data processing across multiple regions.

Strategic Importance of the Stargate Expansion

The Stargate project is a cornerstone of OpenAI’s broader ambition to scale its AI infrastructure. As AI models grow in complexity and demand, robust data center capacity becomes critical for training and real-time inference.

“This expansion will enable us to accelerate AI model development and deployment, meeting the increasing computational demands,” OpenAI stated in its announcement.

Complementing this infrastructure build, Nvidia recently committed $100 billion to supply OpenAI with advanced AI processors, further solidifying the company’s position at the forefront of AI technology.

FinOracleAI — Market View

OpenAI’s announcement signals a significant escalation in AI infrastructure investment, reflecting a broader industry trend toward large-scale, high-capacity data centers optimized for AI workloads.

  • Opportunities: Enhanced computational capacity will enable faster AI model training and deployment, strengthening OpenAI’s competitive edge.
  • Risks: High capital expenditure and operational costs could pressure margins if AI adoption rates or revenue growth slow.
  • Strategic partnerships with Oracle and SoftBank diversify risk and combine expertise in cloud infrastructure and investment.
  • Location choices balance cost, energy availability, and network latency considerations.

Impact: Positive. The expansion supports OpenAI’s long-term growth strategy and positions it as a dominant AI infrastructure provider in the U.S.

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Lilu Anderson is a technology writer and analyst with over 12 years of experience in the tech industry. A graduate of Stanford University with a degree in Computer Science, Lilu specializes in emerging technologies, software development, and cybersecurity. Her work has been published in renowned tech publications such as Wired, TechCrunch, and Ars Technica. Lilu’s articles are known for their detailed research, clear articulation, and insightful analysis, making them valuable to readers seeking reliable and up-to-date information on technology trends. She actively stays abreast of the latest advancements and regularly participates in industry conferences and tech meetups. With a strong reputation for expertise, authoritativeness, and trustworthiness, Lilu Anderson continues to deliver high-quality content that helps readers understand and navigate the fast-paced world of technology.