Update docs

cli/cmd/lib_cluster_config.go

@@ -284,21 +284,21 @@ func confirmInstallClusterConfig(clusterConfig *clusterconfig.Config, awsCreds *
 
 	if clusterConfig.Spot != nil && *clusterConfig.Spot {
 		if *clusterConfig.SpotConfig.OnDemandBaseCapacity == 0 && *clusterConfig.SpotConfig.OnDemandPercentageAboveBaseCapacity == 0 {
-			fmt.Println(fmt.Sprintf("WARNING: you've disabled on-demand instances (%s=0 and %s=0); spot instances are not guaranteed to be available so please take that into account for production clusters", clusterconfig.OnDemandBaseCapacityKey, clusterconfig.OnDemandPercentageAboveBaseCapacityKey))
+			fmt.Printf("WARNING: you've disabled on-demand instances (%s=0 and %s=0); spot instances are not guaranteed to be available so please take that into account for production clusters; see https://www.cortex.dev/v/%s/cluster-management/spot-instances for more information\n", clusterconfig.OnDemandBaseCapacityKey, clusterconfig.OnDemandPercentageAboveBaseCapacityKey, consts.CortexVersionMinor)
 		} else {
-			fmt.Println("WARNING: you've enabled spot instances; spot instances are not guaranteed to be available so please take that into account for production clusters")
+			fmt.Printf("WARNING: you've enabled spot instances; spot instances are not guaranteed to be available so please take that into account for production clusters; see https://www.cortex.dev/v/%s/cluster-management/spot-instances for more information\n", consts.CortexVersionMinor)
 		}
 		fmt.Println()
 	}
 
-	exitMessage := fmt.Sprintf("cluster configuration can be modified via the cluster config file; see https://www.cortex.dev/v/%s/cluster-management/config", consts.CortexVersionMinor)
+	exitMessage := fmt.Sprintf("cluster configuration can be modified via the cluster config file; see https://www.cortex.dev/v/%s/cluster-management/config for more information", consts.CortexVersionMinor)
 	prompt.YesOrExit("would you like to continue with this installation?", exitMessage)
 }
 
 func confirmUpdateClusterConfig(clusterConfig *clusterconfig.Config, awsCreds *AWSCredentials) {
 	fmt.Println(clusterConfigConfirmaionStr(clusterConfig, awsCreds) + "\n")
 
-	exitMessage := fmt.Sprintf("cluster configuration can be modified via the cluster config file; see https://www.cortex.dev/v/%s/cluster-management/config", consts.CortexVersionMinor)
+	exitMessage := fmt.Sprintf("cluster configuration can be modified via the cluster config file; see https://www.cortex.dev/v/%s/cluster-management/config for more information", consts.CortexVersionMinor)
 	prompt.YesOrExit(fmt.Sprintf("your cluster (%s in %s) will be updated according to the configuration above, are you sure you want to continue?", clusterConfig.ClusterName, *clusterConfig.Region), exitMessage)
 }
 

docs/cluster-management/ec2-instances.md

@@ -0,0 +1,59 @@
+# EC2 instances
+
+_WARNING: you are on the master branch, please refer to the docs on the branch that matches your `cortex version`_
+
+You can spin up a Cortex cluster on a variety of AWS instance types. If you are unsure about which instance to pick, review these options as a starting point. This is not a comprehensive guide so please refer to the [full documentation](https://aws.amazon.com/ec2/instance-types/) on AWS for more information.
+
+## T3 instances
+
+[T3 instances](https://aws.amazon.com/ec2/instance-types/t3/) are useful for **development** clusters that primarily run model inferences with low compute and memory resource utilization.
+
+* Example: [iris classification](../../examples/sklearn/iris-classifier)
+* Compute: low
+* Memory: low
+* GPU: no
+* AWS cost: starts at $0.0052 per hour*
+
+## C5 instances
+
+[C5 instances](https://aws.amazon.com/ec2/instance-types/c5/) are useful for clusters that primarily run model inferences with medium compute and low memory resource utilization.
+
+* Example: [language identification](../../examples/pytorch/language-identifier)
+* Compute: medium
+* Memory: low
+* GPU: no
+* AWS cost: starts at $0.085 per hour*
+
+## M5 instances
+
+[M5 instances](https://aws.amazon.com/ec2/instance-types/m5/) are useful for clusters that primarily run model inferences with low compute and memory resource utilization.
+
+* Example: [MPG estimation](../../examples/sklearn/mpg-estimator)
+* Compute: low
+* Memory: medium
+* GPU: no
+* AWS cost: starts at $0.096 per hour*
+
+## G4 instances
+
+[G4 instances](https://aws.amazon.com/ec2/instance-types/g4/) are useful for clusters that primarily run model inferences with high compute and low memory resource utilization that can run on GPUs.
+
+* Example: [image classification](../../examples/tensorflow/image-classifier)
+* Compute: high
+* Memory: medium
+* GPU: yes
+* AWS cost: starts at $0.526 per hour*
+
+## P2 instances
+
+[P2 instances](https://aws.amazon.com/ec2/instance-types/p2/) are useful for clusters that primarily run model inferences with high compute and high memory resource utilization that can run on GPUs.
+
+* Example: [text generation](../../examples/tensorflow/text-generator)
+* Compute: high
+* Memory: high
+* GPU: yes
+* AWS cost: starts at $0.900 per hour*
+
+<br>
+
+&ast; On-demand pricing for the US West (Oregon) AWS region.

docs/cluster-management/install.md

@@ -5,11 +5,11 @@ _WARNING: you are on the master branch, please refer to the docs on the branch t
 ## Prerequisites
 
 1. [Docker](https://docs.docker.com/install)
-2. [AWS credentials](aws.md)
+2. [AWS credentials](aws-credentials.md)
 
 ## Installation
 
-See [cluster configuration](config.md) to learn how you can customize your cluster.
+See [cluster configuration](config.md) to learn how you can customize your installation and [EC2 instances](ec2-instances.md) for an overview of how to pick an appropriate EC2 instance type for your cluster.
 
 <!-- CORTEX_VERSION_MINOR -->
 ```bash

docs/cluster-management/uninstall.md

@@ -4,7 +4,7 @@ _WARNING: you are on the master branch, please refer to the docs on the branch t
 
 ## Prerequisites
 
-1. [AWS credentials](aws.md)
+1. [AWS credentials](aws-credentials.md)
 2. [Docker](https://docs.docker.com/install)
 3. [Cortex CLI](install.md)
 4. [AWS CLI](https://aws.amazon.com/cli)

docs/cluster-management/update.md

@@ -5,7 +5,7 @@ _WARNING: you are on the master branch, please refer to the docs on the branch t
 ## Prerequisites
 
 1. [Docker](https://docs.docker.com/install)
-2. [AWS credentials](aws.md)
+2. [AWS credentials](aws-credentials.md)
 
 ## Updating your cluster configuration
 

docs/summary.md

@@ -34,9 +34,10 @@
 
 * [CLI commands](cluster-management/cli.md)
 * [Cluster configuration](cluster-management/config.md)
-* [Spot instances](cluster-management/spot-instances.md)
-* [AWS credentials](cluster-management/aws.md)
+* [AWS credentials](cluster-management/aws-credentials.md)
 * [Security](cluster-management/security.md)
+* [AWS instances](cluster-management/ec2-instances.md)
+* [Spot instances](cluster-management/spot-instances.md)
 * [Update](cluster-management/update.md)
 * [Uninstall](cluster-management/uninstall.md)
 * [Telemetry](cluster-management/telemetry.md)