Purdue Anvil GPU
Purdue University
Resource Type: Compute
User Guide: https://www.rcac.purdue.edu/anvil#docs
Recommended Use: Anvil’s GPU nodes can be used for various Machine learning (ML), artificial intelligence (AI), and other GPU-enabled workloads. A comprehensive set of GPU software is available within Open OnDemand as well as the module system that includes GPU-enabled package builds and NVIDIA GPU Cloud (NGC) containers for common Python ML frameworks such as PyTorch, Keras, and TensorFlow. GPU-enabled scientific software supports a variety of disciplines and applications that include, but is not limited to, AMBER, LAMMPS, NAMD, Gromacs.
Latitude: 40.4237
Longitude: -86.9212
Production Dates: 10/01/2021 - 10/01/2026
Public URL: https://cider.access-ci.org/public/resources/RDR_000867
Description: 16 nodes each with four NVIDIA A100 Tensor Core GPUs providing 1.5 PF of single-precision performance to support machine learning and artificial intelligence applications.