diff --git a/config.toml b/config.toml
index 90ab9f062..783e52a64 100644
--- a/config.toml
+++ b/config.toml
@@ -69,7 +69,7 @@ ignoreErrors = ["error-remote-getjson", "error-remote-getcsv"]
   # eventsUrl = "https://s3.amazonaws.com/uvarc-resources/website/events.csv"
 
 [params.support]
-  enableForms = true
+  enableForms = false
   
 [params.metrics]
   coreHours = "22,753,716.4"
diff --git a/content/post/2026-may-maintenance.md b/content/post/2026-may-maintenance.md
index 70c8c416c..217f3f81b 100644
--- a/content/post/2026-may-maintenance.md
+++ b/content/post/2026-may-maintenance.md
@@ -123,6 +123,7 @@ The modules to be removed during this maintenance are listed below.
 |openmm                   |7.5.0   |-|
 |peer                     |1.3     |-|
 |R                        |4.3.1   |4.4.1+ |
+|rapidsai                 |25.06   |26.02 |
 |rmats-turbo              |4.1.1   |-|
 |skopeo                   |1.13.1  |-|
 |snakemake                |9.8.1   |9.16.3 |
diff --git a/content/userinfo/faq/rivanna-faq.md b/content/userinfo/faq/rivanna-faq.md
index 5bf6d0371..388cb6a94 100644
--- a/content/userinfo/faq/rivanna-faq.md
+++ b/content/userinfo/faq/rivanna-faq.md
@@ -102,6 +102,15 @@ if [ -f /etc/bashrc ]; then
 PS1="\s-\v\$"
 alias vi='vim'
 ```
+## Can I install GenAI tools on Rivanna or Afton to help with coding?
+Use of AI tools on RC resources must comply with the University's policies governing [acceptable use of information technology resources](https://uvapolicy.virginia.edu/policy/irm-002). This includes restrictions on downloading or using prohibited applications (e.g., DeepSeek AI, TikTok, WeChat, CapCut).
+
+Users should follow the University's GenAI Use Guidelines and are encourage to use appropriately contracted and licensed GenAI tools (i.e, M365 Copilot) with [Sensitive](https://security.virginia.edu/definitions/sensitive-data) or [Internal Use](https://uvapolicy.virginia.edu/policy/IRM-003) research data. Data classified as "Public" may be used with other GenAI tools. 
+
+## Does this prevent training or fine-tuning AI models for research?
+No. Standard research workflows including training, fine-tuning, or evaluating machine learning or generative models as part of research projects are permitted on RC resources.
+
+Please note that models trained or fine-tuned on sensitive or highly sensitive data may allow aspects of that data to be extracted. Therefore, model weights of any model trained or fine-tuned using research data should be protected in accordance with the applicable [data protection standard](https://security.virginia.edu/data-protection).
 
 - - -