diff --git a/content/learning-paths/servers-and-cloud-computing/vllm-acceleration/1-overview-and-build.md b/content/learning-paths/servers-and-cloud-computing/vllm-acceleration/1-overview-and-build.md
index 27405413f..cef2927b0 100644
--- a/content/learning-paths/servers-and-cloud-computing/vllm-acceleration/1-overview-and-build.md
+++ b/content/learning-paths/servers-and-cloud-computing/vllm-acceleration/1-overview-and-build.md
@@ -1,5 +1,5 @@
 ---
-title: Build and validate vLLM for inference on Azure Cobalt 100
+title: Build and validate vLLM for inference 
 weight: 2
 
 ### FIXED, DO NOT MODIFY
@@ -56,7 +56,7 @@ Before you begin, make sure your environment meets these requirements:
 - Python 3.12 on Ubuntu 22.04 LTS or newer
 - At least 32 vCPUs, 64 GB RAM, and 64 GB of free disk space
 
-This Learning Path was tested on an AWS Graviton4 c8g.12xlarge instance with 64 GB of attached storage.
+This Learning Path was tested on an AWS Graviton4 `c8g.12xlarge` instance with 64 GB of attached storage.
 
 ## Install build dependencies
 
diff --git a/content/learning-paths/servers-and-cloud-computing/vllm-acceleration/_index.md b/content/learning-paths/servers-and-cloud-computing/vllm-acceleration/_index.md
index 081c3048c..8a362a98d 100644
--- a/content/learning-paths/servers-and-cloud-computing/vllm-acceleration/_index.md
+++ b/content/learning-paths/servers-and-cloud-computing/vllm-acceleration/_index.md
@@ -1,5 +1,5 @@
 ---
-title: Accelerate vLLM inference on Azure Cobalt 100 virtual machines
+title: Accelerate vLLM inference on AWS Graviton processors
     
 minutes_to_complete: 60
 
@@ -23,6 +23,7 @@ author:
 ### Tags
 skilllevels: Introductory
 subjects: ML
+cloud_service_providers: AWS
 armips:
     - Neoverse
 operatingsystems: