From f0639ec03c813c6d5e5ca1145a599a8f26c30556 Mon Sep 17 00:00:00 2001
From: yuvipanda <yuvipanda@gmail.com>
Date: Thu, 28 Jun 2018 11:54:36 -0700
Subject: [PATCH] Make math render properly in requirements

---
 docs/conf.py                 | 3 +++
 docs/guides/requirements.rst | 7 ++++---
 2 files changed, 7 insertions(+), 3 deletions(-)

diff --git a/docs/conf.py b/docs/conf.py
index cd856fc..c4dc372 100644
--- a/docs/conf.py
+++ b/docs/conf.py
@@ -13,6 +13,9 @@ version = ''
 # The full version, including alpha/beta/rc tags
 release = 'v0.1'
 
+# Enable MathJax for Math
+extensions = ['sphinx.ext.mathjax']
+
 # The master toctree document.
 master_doc = 'index'
 
diff --git a/docs/guides/requirements.rst b/docs/guides/requirements.rst
index f8da4c7..6baf9e7 100644
--- a/docs/guides/requirements.rst
+++ b/docs/guides/requirements.rst
@@ -29,11 +29,12 @@ Memory (RAM)
 
 RAM is often the biggest limiting factor to the question 'how many users can use this JupyterHub
 at the same time?'. If you want to support ``N`` maximum concurrent active users
-each able to use up to ``X`` GB of RAM, you will need.
+each able to use up to ``X`` GB of RAM, you will need:
 
 .. math::
 
-    ($N \times X) + 128MB
+    Server RAM = ($N \times X) + 128MB
 
 The 128MB buffer is for system services (including JupyterHub itself).
-You can further reduce this number with overprovisioning if required.
+This will guarantee that your server will not run out of RAM as long
+as you have no more than ``N`` active users.