new branch with copilot updates

Author: DougAnsonAustinTX

content/learning-paths/automotive/tinkerblox_ultraedge/_index.md

@@ -5,7 +5,7 @@ draft: true
 cascade:
     draft: true
 
-minutes_to_complete: 60
+minutes_to_complete: 60 
 
 who_is_this_for: Business teams targeting lower TCO of computing infrastructure through higher utilization of CPU and/or CPU-GPU install bases. R&D and Engineering teams looking for most efficient use of CPU/CPU-GPU infrastructure. Innovation teams looking to maximize edge resources to host new-age AI on constrained environments. Development teams looking at alternative packaging tech – run-time environments to build next generation workloads.
 

content/learning-paths/automotive/tinkerblox_ultraedge/_next-steps.md

@@ -4,5 +4,5 @@
 # ================================================================================
 weight: 21                  # Set to always be larger than the content in this path to be at the end of the navigation.
 title: "Next Steps"         # Always the same, html page title.
-layout: "learningpathall"   # All files under learning paths have this same wrapper for Hugo processing.
+layout: "learningpathall"   # All files under learning paths have this same wrapper for Hugo processing. 
 ---

content/learning-paths/automotive/tinkerblox_ultraedge/background.md

@@ -12,7 +12,7 @@ UltraEdge is an edge-native, high-performance execution fabric designed to run A
 
 UltraEdge takes a fundamentally different approach. It replaces heavyweight container runtimes with a lean, deterministic execution stack purpose-built for performance-oriented compute. This enables millisecond-level startup times, predictable performance, and a dramatically smaller resource footprint—allowing workloads to start faster, run closer to the hardware, and make full use of available CPU and GPU resources.
 
-At the core of UltraEdge are two specialized execution systems:
+At the core of UltraEdge are two specialized execution systems: 
 
 · **MicroStack**, optimized for enterprise and mixed workloads
 

content/learning-paths/automotive/tinkerblox_ultraedge/debian_installation.md

@@ -12,7 +12,7 @@ Follow these steps to initialize and register your device within the **Uncloud**
 
 1.  **Access the Platform:**
 
-    Navigate to the [Uncloud Dashboard](https://dev.tinkerblox.io/) and log in with your credentials.
+    Navigate to the [Uncloud Dashboard](https://dev.tinkerblox.io/) and log in with your credentials. 
 
 2.  **Provision a New Device:**
     * Go to **Device Management** > **New Device**.

content/learning-paths/automotive/tinkerblox_ultraedge/instance.md

@@ -11,7 +11,7 @@ layout: learningpathall
 In this section, you provision a Google Axion C4A virtual machine on Google Cloud Platform (GCP) using the `c4a-standard-32` machine type, which provides 16 vCPUs and 128 GB of memory. This VM size is required for building a Yocto-based image in the next steps. 
 
 {{% notice Note %}}
-For general guidance on setting up a Google Cloud account and project, see the Learning Path [Getting started with Google Cloud Platform](/learning-paths/servers-and-cloud-computing/csp/google/).
+For general guidance on setting up a Google Cloud account and project, see the Learning Path [Getting started with Google Cloud Platform](/learning-paths/servers-and-cloud-computing/csp/google/). 
 {{% /notice %}}
 
 ## Provision a Google Axion C4A VM in the Google Cloud Console

content/learning-paths/automotive/tinkerblox_ultraedge/running.md

@@ -45,7 +45,7 @@ microservices.
 
 #### Microservice management
 
-Manage microservices running on the Edge platform.
+Manage microservices running on the Edge platform. 
 
 **Syntax:**
 

content/learning-paths/automotive/tinkerblox_ultraedge/yocto_installation.md

@@ -26,7 +26,7 @@ As of this learning path's publication, Ubuntu 24.04 LTS is NOT a supported Yoct
 {{% /notice %}}
 
 - Minimum hardware requirements:
-  - CPU: Quad-core processor minimum (16 cores or greater recommended)
+  - CPU: Quad-core processor minimum (16 cores or greater recommended) 
   - RAM: 8 GB minimum (16 GB or greater recommended)
   - Disk space: At least 100 GB free (250 GB +recommended for multiple builds)