High Performance Computing Clusters

The Division of IT is working on launching a new High Performance Computing Cluster for the Stevens community. Below you will find the specifications of the cluster: 

• 46 servers with 2,752 cores

• 14TB of memory

• Over 150 teraflops of computational power

• HDR 100 Infiniband interconnects

• 1.2PB of storage, and integrated GPUs.

DuckUte is a mixed High Performance Computing cluster at Stevens, which extends our compute capabilities for machine learning, simulation and modeling, and a wide range of other applications. This HPC cluster, formerly known as oHPC, is built with HPE BladeSystem-based servers and has a unique combination of the CPU and GPU compute nodes, managed by the SLURM scheduler. 

• OpenHPC stack backed by the Linux system 

• 31 shared mixed CPU/GPU compute nodes (8,10 or 12-core Intel® CPU E5-2680 251GB RAM or NVIDIA Quadro K3100M 4GB RAM) 

• Total number of CPUs: 1152 

• Total number of CUDA cores: 10,752 

• Up to 140TB Storage (HPE 3PAR StoreServ Storage Systems) 

• 10Gb interconnects 

• SLURM-based resource manager and job scheduler 

• Standard development tools and custom-built applications 

Available to any researchers on campus (includes faculty, staff, and sponsored students).  Software Available on DuckUte 

• C, C++, Python, R, Matlab, Silo, Valgrind 

• Additional software can be requested 

Additional resources will be added at the end of 2023 and throughout 2024. 

A secure and isolated environment is available for researchers with specific compliance requirements such as controlled unclassified information CUI, DOD and other government compliances needs.   

If you are interested in learning more about the CUI Environment, contact our team at support@stevens.edu.