Advancing hurricane prediction with Lenovo

North Carolina State University’s hurricane research group faced growing challenges in advancing storm prediction models due to limited access to national supercomputing resources. Restrictions on computing time, storage, and lengthy queue delays slowed critical research, limiting the number of experiments that could be run and delaying insights vital for disaster preparedness.

To overcome these barriers, NC State adopted Lenovo ThinkStation P7 workstations powered by Intel® Xeon® W-3500 Series processors and NVIDIA RTX PRO 6000 Blackwell Max-Q GPUs. These systems deliver exceptional processing speed, enabling researchers to run complex hurricane track and intensity models more than five times faster than before. The high-performance Lenovo platforms support the full modeling workflow—from preprocessing and simulation to post-analysis—while eliminating delays and data transfer bottlenecks. Graduate students report over 50% time savings, allowing faster iteration and broader collaboration.

Lenovo was selected for its proven reliability, engineering excellence, and purpose-built design for high-end computing workloads. The ThinkStation P7 combines workstation-class power, efficient cooling, and quiet operation with NVIDIA’s advanced AI acceleration—creating a seamless, energy-efficient, and dependable research environment. With Lenovo technology, NC State can now deliver faster forecasts, more accurate models, and life-saving insights that strengthen hurricane preparedness worldwide.