Light docs cleanup

README.md

@@ -101,47 +101,28 @@ While this is not a requirement, running this demo without AI Workbench
 will require manual work as the pre-configured automation and
 integrations may not be available.
 
-<details>
-<summary>
-<b>Expand this section for setup instructions.</b>
-</summary>
-
-### Overview
-
-Typicaly, there are two different styles of developing with AI
-Workbench. The first, and most simple is local only development. This is
-usually the starting point and AI Workbench allows for native scaling
-later. However, this style currently only supports Ubuntu.
-
-``` mermaid
-flowchart LR
-local
-```
-
-The second development style is using a remote lab machine for
-development and a thin-client for remotely accessing the development
-machine. This allows for compute resources to stay centrally located and
-for developers to be more portable. Note, the remote lab machine must
-run Ubuntu, but the local client can run Windows, MacOS, or Ubuntu.
+This quick start guide will assume a remote lab machine is being used
+for development and the local machine is a thin-client for remotely
+accessing the development machine. This allows for compute resources to
+stay centrally located and for developers to be more portable. Note, the
+remote lab machine must run Ubuntu, but the local client can run
+Windows, MacOS, or Ubuntu. To install this project local only, simply
+skip the remote install.
 
 ``` mermaid
 flowchart LR
     local
     subgraph lab environment
-        remote-machine
+        remote-lab-machine
     end
 
-    local <-.ssh.-> remote-machine
+    local <-.ssh.-> remote-lab-machine
 ```
 
-For this quick start guide, it is assumed that a remote lab environment
-is used. If the first development style is preferred, simply skip the
-remote installation steps and note the Ubuntu requirement for local
-development.
-
 ### Client Machine Install
 
 Ubuntu is required if the local client will also be used for developent.
+When using a remote lab machine, this can be Windows, MacOS, or Ubuntu.
 
 <details>
 <summary>
@@ -337,8 +318,6 @@ run these steps as `root`.
 
 </details>
 
-</details>
-
 ## Download this project
 
 There are two ways to download this project for local use: Cloning and

docs/0_2_0_install_nvwb.md

@@ -2,33 +2,18 @@
 
 This project is designed to be used with [NVIDIA AI Workbench](https://www.nvidia.com/en-us/deep-learning-ai/solutions/data-science/workbench/). While this is not a requirement, running this demo without AI Workbench will require manual work as the pre-configured automation and integrations may not be available.
 
-<details>
-<summary>
-<b>Expand this section for setup instructions.</b>
-</summary>
-
-### Overview
-
-Typicaly, there are two different styles of developing with AI Workbench. The first, and most simple is local only development. This is usually the starting point and AI Workbench allows for native scaling later. However, this style currently only supports Ubuntu.
-
-```mermaid
-flowchart LR
-local
-```
-The second development style is using a remote lab machine for development and a thin-client for remotely accessing the development machine. This allows for compute resources to stay centrally located and for developers to be more portable. Note, the remote lab machine must run Ubuntu, but the local client can run Windows, MacOS, or Ubuntu.
+This quick start guide will assume a remote lab machine is being used for development and the local machine is a thin-client for remotely accessing the development machine. This allows for compute resources to stay centrally located and for developers to be more portable. Note, the remote lab machine must run Ubuntu, but the local client can run Windows, MacOS, or Ubuntu. To install this project local only, simply skip the remote install.
 
 ```mermaid
 flowchart LR
     local
     subgraph lab environment
-        remote-machine
+        remote-lab-machine
     end
 
-    local <-.ssh.-> remote-machine
+    local <-.ssh.-> remote-lab-machine
 ```
 
-For this quick start guide, it is assumed that a remote lab environment is used. If the first development style is preferred, simply skip the remote installation steps and note the Ubuntu requirement for local development.
-
 ### Client Machine Install
 
-Ubuntu is required if the local client will also be used for developent.
+Ubuntu is required if the local client will also be used for developent. When using a remote lab machine, this can be Windows, MacOS, or Ubuntu.

docs/0_2_999_footer.md

@@ -1,2 +0,0 @@
-
-</details>

docs/_TOC.md

@@ -5,7 +5,6 @@
 0_2_2_macos.md
 0_2_3_ubuntu.md
 0_2_4_remote_ubuntu.md
-0_2_999_footer.md
 0_3_download.md
 0_4_start.md
 0_5_knowledgebase.md