[TAO][CV] Release 6.0.0

README.md

@@ -9,7 +9,7 @@
 * [How to run TAO?](#HowtorunTAO)
 * [Important Links](#ImportantLinks)
 * [Blogs](#Blogs)
-* [ License](#License)
+* [License](#License)
 
 <!-- vscode-markdown-toc-config
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@@ -34,23 +34,23 @@ The following system configuration is recommended to achieve reasonable training
 * 1 NVIDIA GPU
 * 100 GB of SSD space
 
-TAO is supported on discrete GPUs, such as H100, A100, A40, A30, A2, A16, A100x, A30x, V100, T4, Titan-RTX and Quadro-RTX.
+TAO is supported on discrete GPUs, such as H100, A100, A40, A30, A2, A16, A100x, A30x, Titan-RTX and Quadro-RTX.
 
-> Note: TAO is not supported on GPU's before the Pascal generation
+> Note: TAO is not supported on GPU's before the Volta generation
 
 ### <a name='Softwarerequirements'></a>Software requirements
 
-| **Software**                     | **Version** | **Comment** |
-| :--- | :--- | :-- |
-| Ubuntu LTS                       | 22.04       ||
-| python                           | ==3.10.x    | Not needed if you are using TAO API \(See #3 below\) |
-| docker-ce                        | >19.03.5    | Not needed if you are using TAO API \(See #3 below\) |
-| docker-API                       | 1.40        | Not needed if you are using TAO API \(See #3 below\) |
-| `nvidia-container-toolkit`       | >1.3.0-1    | Not needed if you are using TAO API \(See #3 below\) |
-| nvidia-container-runtime         | 3.4.0-1     | Not needed if you are using TAO API \(See #3 below\) |
-| nvidia-docker2                   | 2.5.0-1     | Not needed if you are using TAO API \(See #3 below\) |
-| nvidia-driver                    | >550.xx     | Not needed if you are using TAO API \(See #3 below\) |
-| python-pip                       | >21.06      | Not needed if you are using TAO API \(See #3 below\) |
+| **Software**                     | **Version** |
+| :--- | :--- |
+| Ubuntu LTS                       | 22.04       |
+| python                           | >=3.10.x    |
+| docker-ce                        | >19.03.5    |
+| docker-API                       | 1.40        |
+| `nvidia-container-toolkit`       | >1.3.0-1    |
+| nvidia-container-runtime         | 3.4.0-1     |
+| nvidia-docker2                   | 2.5.0-1     |
+| nvidia-driver                    | >550.xx     |
+| python-pip                       | >21.06      |
 
 ## <a name='PackageContent'></a>Package Content
 
@@ -64,10 +64,6 @@ Download the TAO tutorial package which contains startup scripts, Jupyter notebo
 
     setup
         |--> quickstart_launcher.sh
-        |--> quickstart_api_bare_metal
-        |--> quickstart_api_aws_eks
-        |--> quickstart_api_azure_aks
-        |--> quickstart_api_gcp_gke
     notebooks
         |--> tao_api_starter_kit
             |--> api
@@ -91,8 +87,7 @@ Download the TAO tutorial package which contains startup scripts, Jupyter notebo
 
 The `tao_tutorials` repository is broadly classified into two components:
 
-* **setup:** A set of quick start scripts to help you install and deploy the TAO launcher and the TAO APIs on various
-  Cloud Service Providers.
+* **setup:** A set of quick start scripts to help you install and deploy the TAO launcher.
 * **notebooks:** Beginner friendly end-to-end tutorial notebooks that will help you hit the ground running with TAO. The notebooks
   install TAO, download the required data, and run TAO commands end-to-end for various use cases.
 
@@ -108,11 +103,13 @@ The `tao_tutorials` repository is broadly classified into two components:
 
 ## <a name='HowtorunTAO'></a>How to run TAO?
 
-TAO is built for users with varying levels of AI expertise. The getting started guide is thus split into different sections for different levels of user experience:
+You can run TAO in five different ways:
 
-* [Beginners](https://docs.nvidia.com/tao/tao-toolkit/text/quick_start_guide/beginner.html)
-* [Intermediate Users](https://docs.nvidia.com/tao/tao-toolkit/text/quick_start_guide/intermediate.html)
-* [Advanced Users](https://docs.nvidia.com/tao/tao-toolkit/text/quick_start_guide/advanced.html)
+* Via the [Finetuning Microservice](https://docs.nvidia.com/tao/tao-toolkit/text/tao_toolkit_api/index.html#running-tao-finetuning-microservice)
+* Via the [Launcher CLI](https://docs.nvidia.com/tao/tao-toolkit/text/quick_start_guide/running_via_launcher.html#running-tao-launcher-cli)
+* Via [containers](https://docs.nvidia.com/tao/tao-toolkit/text/quick_start_guide/running_from_containers.html#running-from-containers)
+* Via :ref:[Python wheels](https://docs.nvidia.com/tao/tao-toolkit/text//quick_start_guide/running_via_wheels.html#running-tao-via-wheels)
+* From [source code](https://docs.nvidia.com/tao/tao-toolkit/text//quick_start_guide/advanced.html#getting-started-as-an-advanced-user)
 
 ## <a name='ImportantLinks'></a>Important Links
 
@@ -132,4 +129,4 @@ TAO is built for users with varying levels of AI expertise. The getting started
 ## <a name='License'></a> License
 
 [TAO getting Started](https://docs.nvidia.com/tao/tao-toolkit/text/tao_toolkit_quick_start_guide.html)
-License for TAO containers is included in the banner of the container. License for the pre-trained models are available with the model cards on NGC. By pulling and using the Train Adapt Optimize (TAO) Toolkit container to download models, you accept the terms and conditions of these [licenses](https://www.nvidia.com/en-us/data-center/products/nvidia-ai-enterprise/eula/).
+License for TAO containers is included in the banner of the container. License for the pre-trained models are available with the model cards on NGC. By pulling and using the Train Adapt Optimize (TAO) Toolkit container to download models, you accept the terms and conditions of these [licenses](https://www.nvidia.com/en-us/data-center/products/nvidia-ai-enterprise/eula/).