The National Renewable Energy Laboratory (NREL) is fast-tracking the deployment of hydrogen supply chain infrastructure in the United States through its Scenario Evaluation and Regionalization Analysis (SERA) model. By optimizing the buildout of hydrogen infrastructure, the model aims to support the growing demand for clean hydrogen as a transportation fuel. SERA offers a strategic approach to reduce risks associated with infrastructure investments by forecasting hydrogen demand and minimizing deployment costs. The SERA model is a flexible optimization tool that allows stakeholders to define various parameters to optimize infrastructure buildout. It has been instrumental in designing hydrogen supply chain infrastructure for both transportation and non-transportation applications, providing detailed insights into market dynamics and investment scenarios. For instance, the model has been used in planning the implementation of hydrogen systems in California. Recent upgrades to the SERA model, including transitioning to the Julia programming language, have significantly improved its computational efficiency. The model's enhanced capabilities now allow for better assessment of infrastructure expansion planning scenarios. While initially focused on hydrogen, SERA is adaptable to model various commodities, showcasing its versatility in infrastructure optimization. Funding by the U.S. DOE's Hydrogen and Fuel Cell Technologies Office (HFTO) has supported the development of SERA as part of a suite of tools for hydrogen infrastructure analysis. The model plays a crucial role in DOE programs and informs investment decisions in clean energy demonstrations. SERA's collaboration with academic institutions and corporations demonstrates its importance in advancing hydrogen infrastructure planning and optimization.