Pegasus HPC Cluster
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Features
- GW's flagship HPC cluster is Pegasus, a 200+ node shared system supporting a broad array of supercomputing and data intensive workloads
- State-of-the-Art GPU Systems: Incorporates the Nvidia Grace Hopper “superchip” and L40S GPU, providing cutting-edge computational power.
- 10x Higher Performance: Achieves significantly higher performance for advanced deep learning, AI research, computational fluid dynamics and more.
- Enhanced Memory Capabilities: Supports larger datasets.
- High-Speed, Low-Latency Components: Optimizes computing power with advanced networking, memory, storage, and file systems.
- Improved Processing Speed: Enables faster processing of complex simulations and computations.
- Simultaneous High-Memory Applications: The Grace Hopper Superchip's memory bandwidth, combined with the AI and graphics capabilities of the L40S GPU, allows multiple high-memory applications to run simultaneously without performance degradation.
All GW HPC clusters are managed by professional staff in GW Information Technology, with additional support from Columbian College of Arts and Sciences, School of Engineering and Applied Science, School of Public Health, School of Medicine and Health Sciences, and the Offices of the Provost and Vice Provost for Research.
Support
Available to
- Researchers
