Introduction
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GPU Cluster at TAMUQ is part of raad2 supercomputer. 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.
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| GPU
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02 Tesla V100 Per Node
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| GPU Nodes
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gfx[1-4]
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| Memory
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192GB Per Node
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| NVIDIA Tensor Cores
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640 Per GPU
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| NVIDIA CUDA Cores
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5,120 Per GPU
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| CPU
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Intel Xeon Gold 6140
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| CPU Base Frequency
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2.30 GHz
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| CPU Max Turbo Frequency
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3.70 GHz
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| Sockets
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02 Per Server
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| Cores Per Socket
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18
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Job scheduler
GPU Cluster uses 'slurm' has a job scheduler.
| Workload Manager
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Slurm 20.11.7
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| Queue
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gpu
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| Local SSD Storage
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/tmp
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| Per User GPU limit
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1 GPU Per Job
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| Per User CPU limit
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18 CPUs Per Job
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| Per User memory limit
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92GB Per Job
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| Default Walltime job
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1 Hour
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| Maximum Walltime job
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24 Hours
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