**Global AI Computing Power Competition Heats Up, New Startup Orion Compute Develops "Dual-Track" Energy Solution**

North America and Western Europe data centers are experiencing an "electricity crisis." As generative AI applications explode, these traditional computing centers face triple pressures of grid saturation, power rationing risks, and soaring costs. Against this backdrop, Orion Compute, founded by early Bitcoin investor Nick Rose, has identified an overlooked opportunity—deploying computing infrastructure in energy-rich, underdeveloped regions.

**Why Choose Developing Markets?**

Orion Compute's approach is straightforward: since electricity costs in North America and Western Europe are high and supply is tight, why not build factories in areas with abundant energy but low utilization? This not only significantly reduces electricity expenses but also avoids power rationing risks caused by grid congestion. The company will initially launch its first project in West Texas as a demonstration, and once regulatory and infrastructure conditions are met, expand into developing economies.

**Phased Technological Iteration to Reduce Initial Investment**

Interestingly, Orion Compute does not immediately invest heavily in top-tier hardware. They adopt a gradual hardware upgrade strategy: initially using low-cost Nvidia A100 GPUs for AI computing tasks, which helps control capital expenditure while simultaneously improving energy management and operational systems. When conditions become more mature, they will upgrade to more powerful H100-level GPUs. This approach is uncommon among startups and reflects the team's deep consideration of cost control.

**Win-Win AI Mining Model**

More notably, Orion Compute is building a multifunctional infrastructure capable of supporting both AI computing and Bitcoin mining simultaneously. Through cooperation with energy supplier Terra Solis, the company introduces cost-effective and location-flexible power solutions. This means that when AI computing demand fluctuates, idle computing resources can be redirected to mining, achieving full utilization of assets—especially given the already low energy costs, this model offers considerable economic benefits.

This case indicates that future computing infrastructure competition may no longer be limited to Silicon Valley and European tech hubs but could shift toward regions with prominent energy advantages and relatively friendly regulations.