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Note smallest AWS instance TLJH can run on #671

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Mar 22, 2021
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Note smallest AWS instance TLJH can run on #671

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6 changes: 1 addition & 5 deletions docs/install/amazon.rst
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Expand Up @@ -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 <https://www.ec2instances.info/>`_
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
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