zhangyiss/the-littlest-jupyterhub
1
0
Fork 0
mirror of https://github.com/jupyterhub/the-littlest-jupyterhub.git synced 2025-12-18 21:54:05 +08:00
Code Issues Packages Projects Releases Wiki Activity

Make math render properly in requirements

Browse Source
This commit is contained in:
yuvipanda
2018-06-28 11:54:36 -07:00
parent d552c08f6a
commit f0639ec03c
2 changed files with 7 additions and 3 deletions
Download Patch File Download Diff File Expand all files Collapse all files

3
docs/conf.py
View File

@@ -13,6 +13,9 @@ version = ''
# The full version, including alpha/beta/rc tags # The full version, including alpha/beta/rc tags
release = 'v0.1' release = 'v0.1'
# Enable MathJax for Math
extensions = ['sphinx.ext.mathjax']
# The master toctree document. # The master toctree document.
master_doc = 'index' master_doc = 'index'

7
docs/guides/requirements.rst
View File

@@ -29,11 +29,12 @@ Memory (RAM)
RAM is often the biggest limiting factor to the question 'how many users can use this JupyterHub 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 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:: .. math::
($N \times X) + 128MB Server RAM = ($N \times X) + 128MB
The 128MB buffer is for system services (including JupyterHub itself). 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.