CC* Storage-Region: GP-STOR: Great Plains Scalable Tiered Object Repository
- Institution
- University of Nebraska-Lincoln, NE
- Principal investigator
- Derek J Weitzel
- Funding
- $1.4M
- Duration
- 2025–2027
Moonbase score
Still being scored
Abstract
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 research networks. Resource access is streamlined via the NRP, which provides robust block device interfaces for performance-intensive tasks and a user-friendly web interface. The infrastructure is designed to support numerous research areas including space-borne computer vision, dark matter detection experiments, proteomics research, and explainable artificial intelligence applications in biomedical data analysis. This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
Research team
- Derek J WeitzelPI
- Ryan M Johnson
- Matthew R Keeler
- James Hurt
LOADING MOONBASE SCORE
Questions for University of Nebraska-Lincoln
Answered by the team behind this research.
No questions yet. Sign in to ask the first one
Related grants
Same researchers, same institution, same topic, scored first.
- NSF · University of South Dakota Main CampusNot yet scored
Research Infrastructure: CC* Campus Compute: Lawrence 2.0: Advancing Multi-Disciplinary Research and Education in South Dakota
Ryan M Johnson · $500K · 2024–2026
- NSF · University of Nebraska-LincolnNot yet scored
CC* Compute-Campus: PLUMAGE: Promoting Learning Using Mixed Advanced GPU Environments
Adam P Caprez · $698K · 2024–2026
- NSF · University of Missouri-ColumbiaNot yet scored
CC* Regional Computing: Great Plains Extended Network of GPUs for Interactive Experimenters (GP-ENGINE)
Matthew R Keeler · $981K · 2023–2026