Positioned at the convergence of cloud infrastructure and the AI revolution, this Delaware-based GPU rental data center is a pioneering “developer first” cloud service provider delivering enterprise-grade compute solutions to the AI/ML community. With revenue of $713,693 and EBITDA of $629,559, the Company operates with minimal overhead and high operational efficiency through proprietary automation tools for server deployment, testing, and maintenance.

Located in an enterprise-grade colocation facility certified to Tier 3 data center standards with 99.999% uptime, the Company leverages a high-performance infrastructure consisting of 8 NVIDIA servers (64 GPUs) and routes demand through established GPU broker platform channels. A fully built direct-to-user website is also available for potential activation, enabling future vertical expansion.

The Company’s current and long-term vision targets the fast-growing inference market — expected to account for 80% of accelerated compute by 2028. Unlike training, inference is dynamic, technically complex, and offers significantly higher margins, customer diversification, and long-term stickiness.

With little to no manpower required and a scalable architecture, the Company is well-positioned to serve one of the most promising segments of the generative AI market that is forecast to top $1.3 trillion by 2032. The Company represents a rare opportunity to invest in a profitable, future-facing platform poised for expansion in both contracted and on-demand GPU infrastructure.

The Company is soliciting bids to be acquired.

Investment Highlights:

• Exceptionally high EBITDA margin
• Fully operational GPU infrastructure with advanced multi-generational hardware portfolio
• Optimized hardware architecture positioned to capitalize on the explosive growth in inference compute demand
• Enterprise-grade colocation facility certified to Tier 3 data center standards
• Reduced capital expenditure on future investments through Delaware's sales tax exemption
• Recurring revenue via active platform usage
• Proprietary software automation, minimizing human overhead
• Minimal staffing and capex required to maintain core operations
• Very low working capital requirements