As AI-driven demand for GPUs surges, data center operators face mounting challenges in power availability, deployment speed, and sustainability. This panel will explore two critical strategies for overcoming these obstacles: adaptive reuse and low-carbon power collocation. The discussion will examine how repurposing existing buildings can dramatically shorten time-to-revenue for GPU infrastructure while reducing carbon impact. Industry leaders will share insights into identifying viable properties, retrofitting for high-density liquid-cooled workloads, and overcoming engineering and regulatory hurdles. Additionally, panelists will assess the potential of emerging geographies for AI infrastructure, including collocating data centers with existing power facilities to bridge energy supply gaps while advancing sustainability commitments. Simon Tusha will offer a deep dive into TECfusions' innovative approach to on-site power generation, including natural gas-powered microgrids, energy independence strategies, and community energy contributions. His insights will highlight how these emerging models can enhance operational resilience, reduce reliance on the grid, and create new investment opportunities in AI-ready data center infrastructure. Attendees will gain a clear understanding of the risks and rewards associated with these approaches, including best practices for risk assessment, project feasibility, and the development of a Project Risk Register—a critical tool for guiding investment decisions from site selection through operations.