System Overview

Introduction

GPU Cluster at TAMUQ is part of raad2 GPU Cluster. The system is equipped with NVIDIA V100 GPUs and Intel Xeon Skylake processors. Users who want to accelerate their AI, HPC or Data science applications can largely benefit from this resource. Most commonly used GPU packages are already available on the system.

GPU   02 Tesla V100 Per Node GPU Nodes   gfx[1-4]  Memory   192GB Per Node NVIDIA Tensor Cores   640 Per GPU NVIDIA CUDA Cores   5,120 Per GPU CPU   Intel Xeon Gold 6140 CPU Base Frequency    2.30 GHz CPU Max Turbo Frequency   3.70 GHz  Sockets   02 Per Server Cores Per Socket   18

Job scheduler

GPU Cluster uses 'slurm' has a job scheduler.

Workload Manager	Slurm 20.11.7
Queue	gpu
Local SSD Storage	/tmp
Per User GPU limit	1 GPU Per Job
Per User CPU limit	18 CPUs Per Job
Per User memory limit	92GB Per Job
Default Walltime job	1 Hour
Maximum Walltime job	24 Hours