diff --git a/content/facilities.md b/content/facilities.md
index b5a06e9271c3da920cedd68c83ccefc2819216fc..ec8ee4d21770c88b714dd375092c6c3976b27e0f 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 f752135902177c7ed0a1f4251003d40940501503..bca4fc93d4b841dea9e12bf321908a7d811b3bff 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