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BluSky AI Secures Oklahoma Site for Modular Data Center Expansion

By Editorial Staff

TL;DR

BluSky AI's strategic Oklahoma lease positions it to capitalize on energy-rich regions, offering scalable GPU services that provide competitive AI compute access to underserved markets.

BluSky AI's 10-year lease with performance-linked payments scales from $4,000 to $30,000 monthly based on installed power capacity, supporting modular AI infrastructure deployment in energy-available locations.

BluSky AI's expansion democratizes AI compute access across western energy-rich regions, empowering small businesses and academic partners to drive innovation without infrastructure limitations.

BluSky AI is deploying prefabricated modular data centers in Oklahoma that can scale to 11 MW capacity, creating portable AI factories optimized for machine learning workloads.

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BluSky AI Secures Oklahoma Site for Modular Data Center Expansion

BluSky AI Inc. has executed a non-binding Letter of Intent to lease approximately five acres in Mulhall, Oklahoma for its modular AI data center deployment, marking a significant step in the company's expansion strategy. The proposed lease agreement spans 10 years with two optional five-year extensions, featuring a base rent of $4,000 per month and performance-linked payments that scale with installed power capacity.

The financial structure includes payments that could reach $30,000 monthly when 11 MW of active modules are operational, creating a performance-based payment model that aligns the company's costs with its operational capacity and revenue generation capabilities. CEO Trent D'Ambrosio emphasized that the Mulhall location offers the ideal combination of energy availability, community partnership, and strategic positioning to support the company's broader mission of democratizing access to AI compute across energy-rich regions in the western United States.

BluSky AI specializes in developing prefabricated modular AI infrastructure and GPU-as-a-Service platforms, positioning itself to serve various market segments requiring high-performance computing for machine learning workloads. The company's approach to modular data centers, referred to as AI Factories, emphasizes speed-to-market and energy optimization capabilities that appeal to entities needing scalable AI infrastructure solutions. Additional information about the company's developments is available in their newsroom.

The Oklahoma expansion represents the company's next phase in deploying its modular data center technology, which is designed to serve small to mid-sized enterprises, academic institutions, and other organizations requiring AI computing resources. The focus on modular, prefabricated infrastructure allows for rapid deployment and scalability, addressing the growing demand for AI computing resources that has emerged alongside the proliferation of machine learning applications across industries. The full details of the press release can be accessed at this link, providing comprehensive information about the company's strategic move into the Oklahoma market.

This expansion into Mulhall reflects a broader industry trend toward locating AI infrastructure in regions with abundant energy resources and favorable operating conditions. The modular approach enables BluSky AI to deploy computing capacity more rapidly than traditional data center construction methods, potentially reducing the time-to-market for AI services by months or even years. For business leaders and technology executives, this development signals increasing accessibility to high-performance computing resources that were previously available only to large technology companies with substantial capital investment capabilities.

The performance-linked payment structure represents an innovative approach to data center economics, allowing the company to scale its financial commitments in line with actual utilization and revenue generation. This model could influence how future AI infrastructure projects are financed and operated across the industry, potentially making advanced computing resources more accessible to organizations of varying sizes and budgets. The strategic positioning in energy-rich regions also addresses growing concerns about the power consumption requirements of advanced AI systems, ensuring that computing infrastructure can be supported by reliable and potentially more sustainable energy sources.

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Editorial Staff

Editorial Staff

@editorial-staff

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