From 8fbb3c41f430eb66420ff6de2c5d6ac2502c6334 Mon Sep 17 00:00:00 2001 From: YuviPanda Date: Mon, 22 Mar 2021 10:31:04 +0530 Subject: [PATCH] Note smallest AWS instance TLJH can run on Fixes #670 --- docs/install/amazon.rst | 6 +----- 1 file changed, 1 insertion(+), 5 deletions(-) diff --git a/docs/install/amazon.rst b/docs/install/amazon.rst index 3707729..bda3e26 100644 --- a/docs/install/amazon.rst +++ b/docs/install/amazon.rst @@ -80,15 +80,11 @@ Let's create the server on which we can run JupyterHub. Check out our guide on How To :ref:`howto/admin/resource-estimation` to help pick how much Memory / CPU your server needs. You need to have at least **1.5GB** of - RAM. + RAM. The smallest instance that can fit this is a **t3.small**. You may wish to consult the listing `here `_ because it shows cost per hour. The **On Demand** price is the pertinent cost. - (For reference, a minimal hub that worked for developing this tutorial used a - **t2.micro** tier, which is free for Amazon users the first year they sign - up. Two users were able to concurrently utilize this development hub without issue.) - ``GPU graphics`` and ``GPU compute`` products are also available around half way down the page #. Under **Step 3: Configure Instance Details**, scroll to the bottom of the page