Purdue Anvil GPU

Anvil GPU resources provide accelerated computing with NVIDIA GPUs, making them well-suited for machine learning, AI training, and large-scale data processing.

Ask about Anvil GPU

File Transfer

Supported Methods Data Transfer Node URL
SCP anvil.rcac.purdue.edu
RSYNC anvil.rcac.purdue.edu

Storage

File System

Directory Path Quota Purge Backup Notes
Anvil ZFS /home 25 GB Not Purged Home directories: area for storing personal software, scripts, compiling, editing, etc.
Anvil ZFS /apps N/A Not purged Applications
Anvil GPFS /anvil N/A Not purged
Anvil GPFS /anvil/scratch 100 TB Files older than 30-day will be purged User scratch: area for job I/O activity, temporary storage
Anvil GPFS /anvil/projects 5 TB Removed 90 days after allocation expiration Per allocation: area for shared data in a project, common datasets and software installation
Anvil GPFS /anvil/datasets Common data sets (not allocated to users)

External Storage

Files in scratch directories are not recoverable. Files in scratch directories are not backed up. If you accidentally delete a file, a disk crashes, or old files are purged, they cannot be restored.

$PROJECTspace. The project space will be created for each allocation. $PROJECT and $WORK variables refer to the same location and can be used interchangeably.

ANVIL CEPH

Anvil Ceph is intended to provide scalable, fault-tolerant, and high-throughput storage for large or persistent research data. It supports both object and block storage, making it suitable for hosting shared datasets, storing long-term research outputs, and enabling data access for containerized or cloud-integrated workflows. Ceph complements the Lustre-based storage tiers by offering durable and easily expandable storage for diverse data management needs.

Inspecting file system quotas

To check the quota of different file systems, type myquota at the command line.


Jobs

Queue specifications

Metrics updated 2026-05-02

Name Purpose CPUs GPUs RAM Jobs
30 days
Wait Time
30-day trend
Wall Time
30-day trend
gpu-debug 128 AMD EPYC™ 7763 CPUs 2 Nvidia A100 GPUs 512GB 110
gpu-debug wait time: average 4.7 hours, range 0 to 16.2 hours over 30 days 4.7
gpu-debug wall time: average 0.1 hours, range 0 to 0.3 hours over 30 days 0.1
gpu 128 AMD EPYC™ 7763 CPUs 4 Nvidia A100 GPUs 512GB 5,112
gpu wait time: average 111.7 hours, range 0 to 229.2 hours over 30 days 111.7
gpu wall time: average 4.7 hours, range 0.4 to 9.7 hours over 30 days 4.7

Most Frequently Used Software

The following software packages are among the most frequently used on Anvil GPU, based on job data from XDMoD.

Application Description Research Discipline Jobs
python Python is a high-level, interpreted programming language known for its simplicity and readability. It supports multiple programming paradigms and has a vast ecosystem of libraries and frameworks. Computer & Information Sciences, Software Engineering, Systems & Development 2,360
amber Amber is a suite of highly extensible molecular simulation programs. It is designed for simulations of biomolecules such as proteins, nucleic acids, and carbohydrates, and can also be used for small molecules. Biological Sciences 1,482
gromacs GROMACS (GROningen MAssive Parallel MD for Molecular Dynamics) is a versatile package for molecular dynamics simulations with a strong emphasis on high-performance computing capabilities. Biological Sciences 258
namd NAMD (NAnoscale Molecular Dynamics) is a parallel molecular dynamics code designed for high-performance simulation of large biomolecular systems. It is optimized for the simulation of biomolecular systems containing millions of atoms. Biochemistry and Molecular Biology 234
oxdna 19
vmd Visual Molecular Dynamics (VMD) is a molecular visualization program for displaying, animating, and analyzing large biomolecular systems using 3-D graphics and built-in scripting. Biological Sciences 11
hh-suite 3
cp2k CP2K is an open-source quantum chemistry and solid state physics software package designed to perform atomistic simulations of solid-state, liquid, molecular, and biological systems. It can be used to study a wide range of properties, including electronic structures, molecular dynamics, and vibrational spectra. Physical Sciences 1
lammps LAMMPS (Large-scale Atomic/Molecular Massively Parallel Simulator) is a classical molecular dynamics code designed for simulating large-scale atomistic systems. It is highly versatile and can be used to model a wide range of materials and complex molecular structures. Chemical Sciences 1
lattice boltzmann 1

Datasets

Name Description
AI

https://datasetdocs.readthedocs.io/en/latest/ai/index.html

Covariates

https://datasetdocs.readthedocs.io/en/latest/Covariates/index.html

Geospatial

https://datasetdocs.readthedocs.io/en/latest/geospatial/index.html

Hydrological

https://datasetdocs.readthedocs.io/en/latest/hydrological/index.html

Genomes

https://datasetdocs.readthedocs.io/en/latest/igenomes/index.html

Meteorological

https://datasetdocs.readthedocs.io/en/latest/meteorological/index.html

GeoAI

https://datasetdocs.readthedocs.io/en/latest/geoai/index.html