docs: add resources-and-eligibility, enhance changes

docs/src/SUMMARY.md

@@ -2,6 +2,7 @@
 
 - [Introduction](introduction.md)
 - [Changes from 2.0](changes-2.0.md)
+- [Resources and eligibility](resources-and-eligibility.md)
 
 # Usage
 

docs/src/changes-2.0.md

@@ -28,7 +28,7 @@ value using LimitRanges. If you need to run multiple containers (multiple
 containers in a pod, multiple pods, or even both), adjust the limits in your pod
 configuration.
 
-## Permissions
+## Permissions & collaborating with others
 
 Users can now query node details. You no longer need to contact Bacchus to check
 the status of available node resources.

docs/src/resources-and-eligibility.md

@@ -0,0 +1,38 @@
+# Resources and Eligibility
+
+## For undergraduate researchers
+
+### Eligibility
+
+We offer SNUCSE GPU Service to SNU undergraduate researchers who meet one of the following criteria:
+
+- Enrolled in Computer Science and Engineering as Single major.
+- Enrolled in Computer Science and Engineering as one of their double majors or one of their minor(s).
+- Student in the College of Liberal Studies, majoring in Computer Science.
+
+### Node group
+
+The node group for undergraduate researchers includes the "ford" node.
+
+- ProLiant XL645d Gen10 Plus "ford"
+  - NVIDIA A100 40GB x 4
+  - AMD EPYC 75F3 x 1, 64 threads
+  - 768GB DDR4
+
+## For graduate researchers
+
+### Eligibility
+
+We offer SNUCSE GPU Service to SNU graduate researchers who meet one of the following criteria:
+
+- Enrolled in Computer Science and Engineering.
+- Enrolled in Interdisciplinary Program in Artificial Intelligence, with an advisor affiliated with the Department of Computer Science and Engineering.
+
+### Node group
+
+The node group for graduate researchers includes the "bentley" node.
+
+- NVIDIA DGX A100 "bentley"
+  - NVIDIA A100 40GB x 8
+  - AMD EPYC 7742 x 2, 256 threads
+  - 1024 GB DDR4