The National Renewable Energy Laboratory (NREL) in the United States has been leveraging advanced computing to optimize the placement of hybrid plants for renewable energy. By partnering with the U.S. Department of Energy and utilizing the Hybrid Optimization and Performance Platform (HOPP), NREL's Modeling, Simulation, and Optimization Capability (MSOC) team analyzed over 50,000 potential locations across the country. This initiative aims to accelerate research in sustainable technologies and electric vehicle infrastructure. The efficient use of high-performance computing (HPC) at NREL significantly reduced simulation runtimes, allowing for the quick analysis of complex scenarios. By parallelizing code and tasks, researchers were able to process the vast amount of data efficiently and cost-effectively. The adoption of HPC also enabled the exploration of cost-reduction strategies for hydrogen production, particularly in regions with limited renewable resources. The collaboration between NREL researchers and the MSOC team highlights the importance of advanced computing in driving research and development in the renewable energy sector. By optimizing the sizing of wind and solar resources and selecting sites with abundant renewable sources, the study demonstrated the potential for increased hydrogen production and reduced overall costs. The successful application of HPC in this project not only enhanced computing efficiency but also paved the way for more comprehensive analysis and modeling of renewable energy systems in the future.