UNAM HPC is the University of Namibia's shared high-performance computing cluster — free to UNAM researchers, students and partner institutions doing serious computational work: machine learning, astrophysics, computational chemistry, GIS and beyond.
A login node fronts two compute racks and a dedicated storage rack, all reachable from a single SSH endpoint once your account is provisioned.
48 diskless compute nodes, 768 AMD Opteron cores and 1.5 TB aggregate RAM for tightly-coupled parallel jobs.
See full specs →40 Sandy Bridge compute nodes with local disk, well suited to mixed CPU-bound and I/O-bound workloads.
See full specs →Dedicated storage nodes providing ~200 TB of shared, high-capacity storage for datasets and results.
See full specs →H.E.S.S. gamma-ray and cosmic-ray analysis with the UNAM Physics Department.
Rock classification, conversational AI and applied ML from the School of Computing.
Land degradation and weather modelling with GIZ, MET and the Namibia Met Service.
Molecular dynamics simulations with the Chemistry & Biochemistry Department.
A growing set of task-focused guides for working on the cluster — graphical desktops, notebooks, job submission and H.E.S.S. analysis included.
A full graphical desktop on the cluster, in a VNC viewer — no admin request needed for a quick session.
Read the guide →Launch Jupyter Lab on a compute node straight from your browser via JupyterHub.
Read the guide →PBS basics: writing a job script, requesting resources, and monitoring what's running.
Read the guide →Activating Paris Analysis, database access, and where to find the full H.E.S.S. documentation.
Read the guide →This research made use of the University of Namibia HPC resource hosted by the Virtual Institute for Scientific Computing and Artificial Intelligence (VISCAI).