High-Performance Computing at UMD
UMD High-Performance Computing uses supercomputers and computer
clusters to solve advanced computational problems in
research areas from Astronomy to Zoology and
everything in between.
Artificial Intelligence (AI) and Machine Learning (ML) are two of the
newest fields to use HPC clusters.
Our Customers are the members of the University of Maryland community
at large: faculty members, graduate & undergrad students, researchers,
and postdocs. If you are a
faculty member, you can request an allocation free
of charge. You can add other researchers and students to your allocation.
UMD Departmental IT Staff, do you get requests for computational resources,
research software packages, or compute & storage converged systems for
research needs? If so, please contact the HPC
systems staff to see if the University's
HPC system can provide resources your research community needs.
HPC Cluster at UMD: Zaratan
Zaratan Cluster Specs
- 360 compute nodes: each with 128 CPU cores and 512GB memory
- 20 GPU nodes: each with four A100 GPUs, 128 CPU cores, 512G RAM
- 8 GPU nodes: each with four H100 GPUs, 96 CPU cores
- 6 Large memory nodes: each with 2TB RAM, 128 CPU cores
- 2 PB BeeGFS scratch storage
- 10 PB AuriStorFS medium-term storage
- HDR/HDR-100 Infiniband
- 400 Gbps Ethernet connections to national networks
- 5.7 PetaFlops theoretical performance
- Open OnDemand web portal
- Click for more detail
More information on current and retired clusters at UMD can be found on our clusters page.
You may be looking to:
Get access / Request a new allocation: Please check the Getting Access page and submit an application
Renew an existing allocation: Please follow the renewal instructions
Get assistance: Please open a ticket