diff --git a/docs/faq.rst b/docs/faq.rst
index 6cfa4d36f..ea05544a6 100644
--- a/docs/faq.rst
+++ b/docs/faq.rst
@@ -43,21 +43,8 @@ in your browser and paperless has to do much less work to serve the data.
 
 .. note::
     
-    Consider setting ``PAPERLESS_OPTIMIZE_THUMBNAILS`` to false to speed up
-    the consumption process. This takes quite a bit of time on Raspberry Pi.
-
-.. note::
-    
-    Updating the :ref:`automatic matching algorithm <advanced-automatic_matching>`
-    takes quite a bit of time. However, the update mechanism checks if your
-    data has changed before doing the heavy lifting. If you experience the 
-    algorithm taking too much cpu time, consider changing the schedule in the
-    admin interface to daily or weekly. You can also manually invoke the task
-    by changing the date and time of the next run to today/now.
-
-    The actual matching of the algorithm is fast and works on Raspberry Pi as 
-    well as on any other device.
-
+    You can adjust some of the settings so that paperless uses less processing
+    power. See :ref:`setup-less_powerful_devices` for details.
     
 
 **Q:** *How do I install paperless-ng on Raspberry Pi?*
diff --git a/docs/setup.rst b/docs/setup.rst
index dff605889..a43b03aaa 100644
--- a/docs/setup.rst
+++ b/docs/setup.rst
@@ -358,6 +358,9 @@ management commands as below.
 7.  Start paperless.
 
 
+.. _setup-less_powerful_devices:
+
+
 Considerations for less powerful devices
 ########################################
 
@@ -383,5 +386,18 @@ configuring some options in paperless can help improve performance immensely:
 
 For details, refer to :ref:`configuration`.
 
+.. note::
+    
+    Updating the :ref:`automatic matching algorithm <advanced-automatic_matching>`
+    takes quite a bit of time. However, the update mechanism checks if your
+    data has changed before doing the heavy lifting. If you experience the 
+    algorithm taking too much cpu time, consider changing the schedule in the
+    admin interface to daily. You can also manually invoke the task
+    by changing the date and time of the next run to today/now.
+
+    The actual matching of the algorithm is fast and works on Raspberry Pi as 
+    well as on any other device.
+
+
 
 .. _redis: https://redis.io/