Replaced AWS plain text with attributes to avoid build failures.

Author: pgasca

latest/ug/automode/automode-learn-instances.adoc

@@ -134,7 +134,7 @@ For more information about the Amazon EC2 Instance Metadata Service (IMDS), see
 ** `ec2:StopInstances`
 ** `ec2:TerminateInstances`
 ** `ec2:PauseVolumeIO`
-* Amazon EKS Auto Mode supports {aws} Fault Injection Service EKS Pod actions. For more information, see link:resilience-hub/latest/userguide/testing.html[Managing Fault Injection Service experiments,type="documentation"] and link:fis/latest/userguide/eks-pod-actions.html#configure-service-account[Use the AWS FIS aws:eks:pod actions,type="documentation"] in the {aws} Resilience Hub User Guide.
+* Amazon EKS Auto Mode supports {aws} Fault Injection Service EKS Pod actions. For more information, see link:resilience-hub/latest/userguide/testing.html[Managing Fault Injection Service experiments,type="documentation"] and link:fis/latest/userguide/eks-pod-actions.html#configure-service-account[Use the {aws} FIS aws:eks:pod actions,type="documentation"] in the {aws} Resilience Hub User Guide.
 * You do not need to install the `Neuron Device Plugin` on EKS Auto Mode nodes.
 +
 If you have other types of nodes in your cluster, you need to configure the Neuron Device plugin to not run on Auto Mode nodes. For more information, see <<associate-workload>>.

latest/ug/ml/ml-eks-k8s-device-plugin.adoc

@@ -11,7 +11,7 @@ Kubernetes https://kubernetes.io/docs/concepts/extend-kubernetes/compute-storage
 
 * When using the EKS-optimized AL2023 AMIs with NVIDIA GPUs, you must install the https://github.com/NVIDIA/k8s-device-plugin[NVIDIA Kubernetes device plugin]. You can install and manage the NVIDIA Kubernetes device plugin with Helm, your choice of Kubernetes tooling, or the NVIDIA GPU operator.
 * When using the EKS-optimized Bottlerocket AMIs with NVIDIA GPUs, you do not need to install the NVIDIA Kubernetes device plugin, as it is already included in the EKS-optimized Bottlerocket AMIs. This includes when you use GPU instances with EKS Auto Mode.
-* When using the EKS-optimized AL2023 or Bottlerocket AMIs with AWS Inferentia or Trainium GPUs, then you must install the Neuron Kubernetes device plugin, and optionally install the https://awsdocs-neuron.readthedocs-hosted.com/en/latest/containers/tutorials/k8s-neuron-scheduler.html[Neuron Kubernetes scheduler extension]. For more information, see the https://awsdocs-neuron.readthedocs-hosted.com/en/latest/containers/kubernetes-getting-started.html[Neuron documentation for running on EKS].
+* When using the EKS-optimized AL2023 or Bottlerocket AMIs with {aws} Inferentia or Trainium GPUs, then you must install the Neuron Kubernetes device plugin, and optionally install the https://awsdocs-neuron.readthedocs-hosted.com/en/latest/containers/tutorials/k8s-neuron-scheduler.html[Neuron Kubernetes scheduler extension]. For more information, see the https://awsdocs-neuron.readthedocs-hosted.com/en/latest/containers/kubernetes-getting-started.html[Neuron documentation for running on EKS].
 
 [#eks-nvidia-device-plugin]
 == Install NVIDIA Kubernetes device plugin

latest/ug/ml/ml-eks-optimized-ami.adoc

@@ -5,7 +5,7 @@ include::../attributes.txt[]
 = Use EKS-optimized accelerated AMIs for GPU instances
 :info_titleabbrev: Use EKS Linux GPU AMIs
 
-Amazon EKS supports EKS-optimized Amazon Linux and Bottlerocket AMIs for GPU instances. The EKS-optimized accelerated AMIs simplify running AI and ML workloads in EKS clusters by providing pre-built, validated operating system images for the accelerated Kubernetes stack. In addition to the core Kubernetes components that are included in the standard EKS-optimized AMIs, the EKS-optimized accelerated AMIs include the kernel modules and drivers required to run the NVIDIA GPU `G` and `P` EC2 instances, and the AWS GPU link:machine-learning/inferentia/[Inferentia,type="marketing"] and link:machine-learning/trainium/[Trainium,type="marketing"] EC2 instances in EKS clusters. 
+Amazon EKS supports EKS-optimized Amazon Linux and Bottlerocket AMIs for GPU instances. The EKS-optimized accelerated AMIs simplify running AI and ML workloads in EKS clusters by providing pre-built, validated operating system images for the accelerated Kubernetes stack. In addition to the core Kubernetes components that are included in the standard EKS-optimized AMIs, the EKS-optimized accelerated AMIs include the kernel modules and drivers required to run the NVIDIA GPU `G` and `P` EC2 instances, and the {aws} GPU link:machine-learning/inferentia/[Inferentia,type="marketing"] and link:machine-learning/trainium/[Trainium,type="marketing"] EC2 instances in EKS clusters. 
 
 The table below shows the supported GPU instance types for each EKS-optimized accelerated AMI variant. See the EKS-optimized https://github.com/awslabs/amazon-eks-ami/releases[AL2023 releases] and https://github.com/bottlerocket-os/bottlerocket/blob/develop/CHANGELOG.md[Bottlerocket releases] on GitHub for the latest updates to the AMI variants.
 
@@ -117,7 +117,7 @@ See the EKS AL2023 Neuron AMI https://github.com/awslabs/amazon-eks-ami/blob/mai
 [#eks-amis-neuron-bottlerocket]
 == EKS Bottlerocket Neuron AMIs
 
-The standard Bottlerocket variants (aws-k8s) include the Neuron dependencies that are automatically detected and loaded when running on AWS Inferentia or Trainium EC2 instances.
+The standard Bottlerocket variants (aws-k8s) include the Neuron dependencies that are automatically detected and loaded when running on {aws} Inferentia or Trainium EC2 instances.
 
 The EKS-optimized Bottlerocket AMIs do not include the Neuron Kubernetes device plugin or the https://awsdocs-neuron.readthedocs-hosted.com/en/latest/containers/tutorials/k8s-neuron-scheduler.html[Neuron Kubernetes scheduler extension], and these must be installed separately. For more information, see <<eks-neuron-device-plugin>>.
 

latest/ug/ml/ml-realtime-inference-cluster.adoc

@@ -172,7 +172,7 @@ iam:
     permissionPolicyARNs:
     - arn:aws:iam::${AWS_ACCOUNT_ID}:policy/KarpenterControllerPolicy-${EKS_CLUSTER_NAME}
   # Creates the pod identity association and service account 
-  # Uses the AWS LBC policy for permissions
+  # Uses the {aws} LBC policy for permissions
   - namespace: kube-system
     serviceAccountName: aws-load-balancer-controller
     createServiceAccount: true
@@ -1063,7 +1063,7 @@ STATUS: deployed
 REVISION: 1
 TEST SUITE: None
 NOTES:
-AWS Load Balancer controller installed!
+{aws} Load Balancer controller installed!
 ----
 
 === Mount the model in a persistent volume

latest/ug/storage/fsx-csi-tuning-efa.adoc

@@ -577,7 +577,7 @@ SSH into node:
 
 [source,bash]
 ----
-# Get instance ID from EKS console or AWS CLI
+# Get instance ID from EKS console or {aws} CLI
 ssh -i /path/to/your-key.pem ec2-user@<node-internal-ip>
 ----