The Great Plains region faces significant challenges in accessing advanced computing resources required for data-intensive research, particularly at smaller institutions with limited infrastructure. The growing use of AI and Machine Learning in both research and education has created a growing need for both high capacity and high performance storage. The Great Plains Scalable Tiered Object Repository (GP-STOR) addresses these challenges by deploying a distributed storage infrastructure accessible to institutions throughout the entire Great Plains region and physically located at the University of Nebraska-Lincoln, University of Missouri, and University of South Dakota. The augmented storage and computational capabilities directly address NSF’s mission by expanding access to essential cyberinfrastructure resources, fostering greater collaboration, improving scientific reproducibility, and accelerating data-driven research that could significantly impact fields such as public health, agriculture, and energy. GP-STOR consists of three identical storage clusters strategically distributed across different geographic locations contributing a combined 14PB of high capacity storage and 384TB of high-speed, high-IOPS storage. Each site features 11 high-capacity CEPH nodes and one NVMe node. These clusters are connected to high-speed 100 Gigabit per second (Gbps) Science DMZs to resources in the National Research Platform (NRP), through the Great Plains Network and national optical