High-Performance GPU Cluster for Molecular Simulations at Arkansas
Official title: High-Performance GPU Cluster with NVIDIA RTX 6000 PRO (Blackwell) for Molecular Simulations
Funded at University of Arkansas at Fayetteville · NIH-11357174 · Data updated 2026-11-12
A powerful new GPU cluster will be bought and set up at the University of Arkansas to speed up molecular simulations and machine-learning modeling for NIH-funded projects.
Quick facts
| Grant type | NIH-funded research |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of Arkansas at Fayetteville NIH-funded |
| Lab location | 1 site (Fayetteville, United States) |
| Project start | September 15, 2026 |
| Project end | September 14, 2027 |
| Funding year | 2026 |
| Award (this year) | $348,797 |
| NIH project number | 1S10OD040351-01 |
| Project ID | NIH-11357174 on NIH RePORTER |
Who could benefit from this research
✓Could help
Not applicable to a specific patient group; benefits relate to advancing basic and translational biology that could impact future treatments.
✕Less likely to help
Direct patient benefit is not part of this grant; it funds infrastructure that enables research that may lead to patient-focused outcomes later.
What this research studies
This grant funds the purchase and deployment of 32 NVIDIA RTX 6000 Blackwell GPUs across four servers at the Arkansas High Performance Computing Center. The cluster will be integrated into the Pinnacle system with high-speed networking to support large-scale molecular dynamics, biomedical simulations, and AI-driven modeling. Researchers will run codes like NAMD, GROMACS, and AMBER to study complex proteins, membrane systems, and ion channels that are relevant to human health. The project aims to enable faster, more detailed simulations that could inform therapeutic design and biological understanding.
Why it matters
Potential benefit: If successful, this cluster could accelerate discoveries in viral fusion, ion-channel regulation, and protein-based therapies that may ultimately benefit patients.
How similar studies have gone: Similar high-performance GPU deployments have enabled significant advances in computational biology and drug design, showing strong potential for impactful results.
Where this research is happening
-
University of Arkansas at Fayetteville
Fayetteville, United States Active
Researchers
- Principal investigator: Moradi, Mahmoud — University of Arkansas at Fayetteville
- Study coordinator: Moradi, Mahmoud
About this research
- This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
- Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
- For full project details, budget, and progress reports, visit the official NIH RePORTER page.