From c75f74465a7a49bc0ab1910c3ce97be7b171541b Mon Sep 17 00:00:00 2001 From: Natasha Pavlovikj <npavlovikj2@unl.edu> Date: Wed, 15 Mar 2023 14:23:56 -0500 Subject: [PATCH] Remove K20/K40 mention --- content/facilities.md | 12 ------------ content/submitting_jobs/submitting_gpu_jobs.md | 2 +- 2 files changed, 1 insertion(+), 13 deletions(-) diff --git a/content/facilities.md b/content/facilities.md index b5a06e92..ec8ee4d2 100644 --- a/content/facilities.md +++ b/content/facilities.md @@ -94,18 +94,6 @@ These resources are detailed further below. * 48 GB RAM * 2-socket Intel Xeon E5620 (4-core, 2.4GHz) * 2 Nvidia M2070 GPUs -* 3 Supermicro SYS-1027GR-TSF systems - * 128 GB RAM - * 2-socket Intel Xeon E5-2630 (6-core, 2.3GHz) - * 3 Nvidia K20M GPUs -* 1 Supermicro SYS-5017GR-TF systems - * 32 GB RAM - * 1-socket Intel Xeon E5-2650 v2 (8-core, 2.6GHz) - * 2 Nvidia K40C GPUs -* 5 Supermicro SYS-2027GR-TRF systems - * 64 GB RAM - * 2-socket Intel Xeon E5-2650 v2 (8-core, 2.6GHz) - * 4 Nvidia K40M GPUs * 2 Supermicro SYS-5018GR-T systems * 64 GB RAM * 2-socket Intel Xeon E5-2620 v4 (8-core, 2.1GHz) diff --git a/content/submitting_jobs/submitting_gpu_jobs.md b/content/submitting_jobs/submitting_gpu_jobs.md index f7521359..bca4fc93 100644 --- a/content/submitting_jobs/submitting_gpu_jobs.md +++ b/content/submitting_jobs/submitting_gpu_jobs.md @@ -48,7 +48,7 @@ following options to your srun or sbatch command: {{< /highlight >}} To run on a specific type of GPU, you can constrain your job to require -a feature. To run on K40 GPUs for example: +a feature. To run on P100 GPUs for example: {{< highlight batch >}} --partition=gpu --gres=gpu --constraint=gpu_p100 -- GitLab