Added overview

docs/admin/config/clusters.md

@@ -156,7 +156,7 @@ Before starting, make sure you have the following:
         * Try to identify the problem from the logs. If you cannot resolve the issue, continue to the next step. 
 
     5. Contact Run:ai’s support  
-        * If the issue persists, [contact Run:ai’s support](../../home/overview.md#how-to-get-support) for assistance.
+        * If the issue persists, [contact Run:ai’s support](../../home/documentation-library.md.md#how-to-get-support) for assistance.
 
 ??? "Cluster has service issues"
     __Description__: When a cluster's status is _Has service issues_, it means that one or more Run:ai services running in the cluster are not available.
@@ -194,7 +194,7 @@ Before starting, make sure you have the following:
         ```
 
     4. Contact Run:ai’s Support  
-        * If the issue persists, contact [contact Run:ai’s support](../../home/overview.md#how-to-get-support) for assistance.
+        * If the issue persists, contact [contact Run:ai’s support](../../home/documentation-library.md#how-to-get-support) for assistance.
 
 ??? "Cluster is waiting to connect"
     __Description__: When the cluster's status is ‘waiting to connect’, it means that no communication from the cluster services reaches the Run:ai Platform. This may be due to networking issues or issues with Run:ai services.
@@ -285,7 +285,7 @@ Before starting, make sure you have the following:
         * Try to identify the problem from the logs. If you cannot resolve the issue, continue to the next step  
 
     5. Contact Run:ai’s support  
-        * If the issue persists, [contact Run:ai’s support](../../home/overview.md#how-to-get-support) for assistance.
+        * If the issue persists, [contact Run:ai’s support](../../home/documentation-library.md#how-to-get-support) for assistance.
 
 ??? "Cluster is missing prerequisites"
     __Description__: When a cluster's status displays Missing prerequisites, it indicates that at least one of the Mandatory Prerequisites has not been fulfilled. In such cases, Run:ai services may not function properly.
@@ -316,5 +316,5 @@ Before starting, make sure you have the following:
         * This section provides detailed information about any missing resources or prerequisites. Review this information to identify what is needed  
 
     5. Contact Run:ai’s support  
-        * If the issue persists, [contact Run:ai’s support](../../home/overview.md#how-to-get-support) for assistance.
+        * If the issue persists, [contact Run:ai’s support](../../home/documentation-library.md#how-to-get-support) for assistance.
 

docs/admin/runai-setup/cluster-setup/cluster-setup-intro.md

@@ -8,7 +8,7 @@ This section is a step-by-step guide for setting up a Run:ai cluster.
 * A Run:ai cluster connects to the Run:ai control plane on the cloud. The control plane provides a control point as well as a monitoring and control user interface for Administrators and Researchers.
 * A customer may have multiple Run:ai Clusters, all connecting to a single control plane.
 
-For additional details see the [Run:ai system components](../../../home/components.md)
+For additional details see the [Run:ai system components](../../../home/overview.md#runai-system-components)
 
 ## Documents
 

docs/admin/runai-setup/installation-types.md

@@ -3,8 +3,8 @@
 
 Run:ai consists of two components:
 
-* The Run:ai [Cluster](../../home/components.md#runai-cluster). One or more data-science GPU clusters hosted by the customer (on-prem or cloud).
-* The Run:ai [Control plane](../../home/components.md#components). A single entity that monitors clusters, sets priorities, and business policies.
+* The Run:ai [Cluster](../../home/overview.md#runai-cluster). One or more data-science GPU clusters hosted by the customer (on-prem or cloud).
+* The Run:ai [Control plane](../../home/overview.md#runai-control-plane). A single entity that monitors clusters, sets priorities, and business policies.
 
 There are two main installation options:
 

docs/developer/overview-developer.md

@@ -11,7 +11,7 @@ Developers can access Run:ai through various programmatic interfaces.
 
 ## API Architecture
 
-Run:ai is composed of a single, multi-tenant control plane. Each tenant can be connected to one or more GPU clusters. See [Run:ai system components](../home/components.md) for detailed information.
+Run:ai is composed of a single, multi-tenant control plane. Each tenant can be connected to one or more GPU clusters. See [Run:ai system components](../home/overview.md#runai-system-components) for detailed information.
 
 The following programming interfaces are available:
 

docs/home/documentation-library.md

@@ -0,0 +1,63 @@
+# Run:ai Documentation Library
+
+
+Welcome to the Run:ai documentation area. For an introduction about what is the Run:ai Platform see [Run:ai platform](https://www.run.ai/platform/){target=_blank} on the run.ai website.
+
+The Run:ai documentation is targeting four personas:
+
+* __Infrastructure Administrator__ - An IT person, responsible for the installation, setup and IT maintenance of the Run:ai product. Infrastructure Administrator documentation can be found [here](../admin/overview-administrator.md).
+
+* __Platform Administrator__ - Responsible for the day-to-day administration of the product. Platform Administrator documentation can be found [here](../platform-admin/overview.md).
+
+
+* __Researcher__ — Using Run:ai to spin up notebooks, submit Workloads, prompt models, etc. Researcher documentation can be found [here](../Researcher/overview-researcher.md).
+
+* __Developer__ — Using various APIs to automate work with Run:ai. The Developer documentation can be found [here](../developer/overview-developer.md).
+
+## How to Get Support
+
+To get support use the following channels:
+
+* On the Run:ai user interface at `<company-name>.run.ai`, use the 'Contact Support' link on the top right.
+
+* Or submit a ticket by clicking the button below:
+
+[Submit a Ticket](https://runai.secure.force.com/casesupport/CreateCaseForm){target=_blank .md-button .custom-ticket-button}
+
+
+
+## Community 
+
+Run:ai provides its customers with access to the _Run:ai Customer Community portal_ to submit tickets, track ticket progress and update support cases.
+
+[Customer Community Portal](https://runai-support.force.com/community/s/){target=_blank .md-button .custom-ticket-button}
+
+Reach out to customer support for credentials.
+
+
+## Run:ai Cloud Status Page
+
+Run:ai cloud availability is monitored at [status.run.ai](https://status.run.ai){target=_blank}.
+
+## Collect Logs to Send to Support
+
+As an IT Administrator, you can collect Run:ai logs to send to support. For more information see [logs collection](../admin/troubleshooting/logs-collection.md).
+
+## Example Code
+
+Code for the Docker images referred to on this site is available at [https://github.com/run-ai/docs/tree/master/quickstart](https://github.com/run-ai/docs/tree/master/quickstart){target=_blank}.
+
+The following images are used throughout the documentation:
+
+|  Image | Description | Source |
+|--------|-------------|--------|
+| [runai.jfrog.io/demo/quickstart](https://runai.jfrog.io/artifactory/demo/quickstart){target=_blank} | Basic training image. Multi-GPU support | [https://github.com/run-ai/docs/tree/master/quickstart/main](https://github.com/run-ai/docs/tree/master/quickstart/main){target=_blank} | 
+| [runai.jfrog.io/demo/quickstart-distributed](https://runai.jfrog.io/artifactory/demo/quickstart-distributed){target=_blank} | Distributed training using MPI and Horovod | [https://github.com/run-ai/docs/tree/master/quickstart/distributed](https://github.com/run-ai/docs/tree/master/quickstart/distributed){target=_blank} | 
+| [zembutsu/docker-sample-nginx](https://hub.docker.com/r/zembutsu/docker-sample-nginx) | Build (interactive) with Connected Ports | [https://github.com/zembutsu/docker-sample-nginx](https://github.com/zembutsu/docker-sample-nginx){target=_blank} | 
+| [runai.jfrog.io/demo/quickstart-x-forwarding](https://runai.jfrog.io/artifactory/demo/quickstart-x-forwarding){target=_blank} | Use X11 forwarding from Docker image | [https://github.com/run-ai/docs/tree/master/quickstart/x-forwarding](https://github.com/run-ai/docs/tree/master/quickstart/x-forwarding){target=_blank} | 
+| [runai.jfrog.io/demo/pycharm-demo](https://runai.jfrog.io/artifactory/demo/pycharm-demo){target=_blank} | Image used for tool integration (PyCharm and VSCode) | [https://github.com/run-ai/docs/tree/master/quickstart/python%2Bssh](https://github.com/run-ai/docs/tree/master/quickstart/python%2Bssh){target=_blank} |
+| [runai.jfrog.io/demo/example-triton-client](https://runai.jfrog.io/artifactory/demo/example-triton-client){target=_blank} and  [runai.jfrog.io/demo/example-triton-server](https://runai.jfrog.io/artifactory/demo/example-triton-server){target=_blank} |  Basic Inference | [https://github.com/run-ai/models/tree/main/models/triton](https://github.com/run-ai/models/tree/main/models/triton){target=_blank} |
+
+## Contributing to the documentation
+
+This documentation is made better by individuals from our customer and partner community. If you see something worth fixing, please comment at the bottom of the page or create a pull request via GitHub. The public GitHub repository can be found on the top-right of this page.