Table of Contents
GPU Resources in O2
There are 31 34 GPU nodes with a total of 147 GPU cards available on the O2 cluster. The nodes are accessible in three gpu partitions: gpu, gpu_quad, gpu_requeue.
The gpu partition includes 32 double precision GPU cards: 16 Tesla K80 with 12GB of VRAM, 8 Tesla M40 with 12GB and 24GB of VRAM and , and 8 Tesla V100 with 16GB of VRAM
The gpu_quad partition includes 71 GPUs: 47 single precision RTX 8000 cards with 48GB of VRAM, 8 A40 single precisions cards 48GB of VRAM and , 24 double precision Tesla V100s cards with 32GB of VRAM, and 4 double precision A100 cards with 80G of VRAM.
The gpu_requeue partition includes 44 GPUs: 28 single precision RTX 6000 cards with 24GB of VRAM, 2 double precision Tesla M40 cards, 2 A100 cards with 40GB of VRAM and 12 A100 cards with 80GB of VRAM.
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login02:~ sinfo --Format=nodehost,available,memory,statelong,gres:40 -p gpu,gpu_quad,gpu_requeue HOSTNAMES AVAIL MEMORY STATE GRES compute-g-16-254175 up 257548 373760 mixed draining@ gpu:teslaV100teslaM40:4,vram:16G24G compute-g-16-175176 up 257548 mixed gpu:teslaM40:4,vram:24G compute-g-16-17612G up compute-g-16-177 up 257548 idle mixed gpu:teslaM40teslaK80:48,vram:12G compute-g-16-194 up 257548 mixed gpu:teslaK80:8,vram:12G compute-g-16-255197 up 373760257548 idle mixed gpu:teslaV100teslaM40:42,vram:16G compute-g-16-17712G compute-g-16-254 up 373760 mixed gpu:teslaV100:4,vram:16G compute-g-16-255 up 373760 mixed gpu:teslaV100:4,vram:16G compute-g-17-145 up 770000 mixed gpu:rtx8000:10,vram:48G compute-g-17-146 up 770000 mixed gpu:rtx8000:10,vram:48G compute-g-17-147 up 257548383000 idlemixed gpu:teslaK80teslaV100s:84,vram:12G32G compute-g-17-145148 up 770000383000 mixed gpu:rtx8000teslaV100s:104,vram:48G32G compute-g-17-146149 up 770000383000 mixed gpu:rtx8000teslaV100s:104,vram:48G:32G compute-g-17-147150 up 383000 mixed gpu:teslaV100s:4,vram:32G compute-g-17-148151 up 383000 mixed gpu:teslaV100s:4,vram:32G compute-g-17-149152 up 383000 mixed gpu:teslaV100s:4,vram:32G compute-g-17-150153 up 383000 mixed gpu:teslaV100srtx8000:4,vram:32G3,vram:48G compute-g-17-151154 up 383000 mixed gpu:teslaV100srtx8000:43,vram:32G48G compute-g-17-152155 up 383000 mixed gpu:teslaV100srtx8000:43,vram:32G48G compute-g-17-153156 up 383000 mixed gpu:rtx8000:3,vram:48G compute-g-17-154157 up 383000 mixed gpu:rtx8000:3,vram:48G compute-g-17-156158 up 383000 mixed gpu:rtx8000:3,vram:48G compute-g-17-157159 up 383000 mixed gpu:rtx8000:3,vram:48G compute-g-17-158160 up 383000 mixed gpu:rtx8000:3,vram:48G:48G compute-g-17-159161 up 383000 mixed gpu:rtx8000:3,vram:48G compute-g-17-160162 up 383000500000 mixed gpu:rtx8000a40:34,vram:48G compute-g-17-155 up 383000 compute-g-17-163 up idle 500000 gpu:rtx8000:3,vram:48G compute-g-17-161 up mixed 383000 gpu:a40:4,vram:48G idle gpu:rtx8000:3,vram:48G compute-gcg-17-245164 up 383000500000 mixed gpu:rtx6000a100:104,vram:24G80G compute-gc-17-246245 up 383000 mixedidle gpu:rtx6000:10,vram:24G compute-ggc-1617-197 246 up 257548383000 idle gpu:teslaM40rtx6000:210,vram:12G24G compute-gc-17-247 up 383000 idle gpu:rtx6000:8,vram:24G compute-gc-17-249 up 1000000 idle allocated gpu:a100:2,vram:40Gvram:40G compute-gc-17-252 up 1000000 idle gpu:a100:4,vram:80G compute-gc-17-253 up 1000000 idleallocated gpu:a100:4,vram:80G compute-gc-17-254 up 1000000 idlemixed gpu:a100:4,vram:80G |
GPU Partition
The gpu partition is open to all O2 users; to run jobs on the gpu partition use the flag -p gpu
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The gpu_quad partition is open to any users working for a PI with a primary or secondary appointment in a pre-clinical department; to run jobs on the gpu_quad partition use the flag -p gpu_quad. If you work at an affiliate institution but are collaborating with an on-Quad PI, please contact Research Computing to gain access.
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