Revise AWS instructions

chapter_appendix-tools-for-deep-learning/aws.md

@@ -12,13 +12,13 @@ This process applies to other instances (and other clouds), too, albeit with som
 
 ## Creating and Running an EC2 Instance
 
-After logging into your AWS account, click "EC2" (marked by the red box in :numref:`fig_aws`) to go to the EC2 panel.
+After logging into your AWS account, click "EC2" (:numref:`fig_aws`) to go to the EC2 panel.
 
 ![Open the EC2 console.](../img/aws.png)
 :width:`400px`
 :label:`fig_aws`
 
-:numref:`fig_ec2` shows the EC2 panel with sensitive account information greyed out.
+:numref:`fig_ec2` shows the EC2 panel.
 
 ![EC2 panel.](../img/ec2.png)
 :width:`700px`
@@ -51,7 +51,7 @@ process an application.
 
 Next, click the "Launch Instance" button marked by the red box in :numref:`fig_ec2` to launch your instance.
 
-We begin by selecting a suitable Amazon Machine Image (AMI). Enter "Ubuntu" in the search box (marked by the red box in :numref:`fig_ubuntu`).
+We begin by selecting a suitable Amazon Machine Image (AMI). Select an Ubuntu instance (:numref:`fig_ubuntu`).
 
 
 ![Choose an AMI.](../img/ubuntu-new.png)
@@ -68,6 +68,7 @@ EC2 provides many different instance configurations to choose from. This can som
 | p2   | Kepler K80  | old but often cheap as spot   |
 | g3   | Maxwell M60 | good trade-off                |
 | p3   | Volta V100  | high performance for FP16     |
+| p4   | Ampere A100 | high performance for large-scale training |
 | g4   | Turing T4   | inference optimized FP16/INT8 |
 :label:`tab_ec2`
 
@@ -79,28 +80,26 @@ All these servers come in multiple flavors indicating the number of GPUs used. F
 
 Note that you should use a GPU-enabled instance with suitable drivers and a GPU-enabled deep learning framework. Otherwise you will not see any benefit from using GPUs.
 
-So far, we have finished the first two of seven steps for launching an EC2 instance, as shown on the top of :numref:`fig_disk`. In this example, we keep the default configurations for the steps "3. Configure Instance", "5. Add Tags", and "6. Configure Security Group". Tap on "4. Add Storage" and increase the default hard disk size to 64 GB (marked in the red box of :numref:`fig_disk`). Note that CUDA by itself already takes up 4 GB.
+We go on to select the key pair used to access
+the instance. If you do not have a key pair, click "Create new key pair" in :numref:`fig_keypair` to generate a key pair. Subsequently,
+you can select the
+previously generated key pair. 
+Make sure that you download the key pair and store it in a safe location if you
+generated a new one. This is your only way to SSH into the server.
+
+![Select a key pair.](../img/keypair.png)
+:width:`500px`
+:label:`fig_keypair`
+
+In this example, we will keep the default configurations for "Network settings" (click the "Edit" button to configure items such as the subnet and security groups). We just increase the default hard disk size to 64 GB (:numref:`fig_disk`). Note that CUDA by itself already takes up 4 GB.
 
 ![Modify the hard disk size.](../img/disk.png)
 :width:`700px`
 :label:`fig_disk`
 
 
-
-Finally, go to "7. Review" and click "Launch" to launch the configured
-instance. The system will now prompt you to select the key pair used to access
-the instance. If you do not have a key pair, select "Create a new key pair" in
-the first drop-down menu in :numref:`fig_keypair` to generate a key pair. Subsequently,
-you can select "Choose an existing key pair" for this menu and then select the
-previously generated key pair. Click "Launch Instances" to launch the created
-instance.
-
-![Select a key pair.](../img/keypair.png)
-:width:`500px`
-:label:`fig_keypair`
-
-Make sure that you download the key pair and store it in a safe location if you
-generated a new one. This is your only way to SSH into the server. Click the
+Click "Launch Instance" to launch the created
+instance. Click the
 instance ID shown in :numref:`fig_launching` to view the status of this instance.
 
 ![Click the instance ID.](../img/launching.png)