clean up available_iamges.md

Signed-off-by: sirutBuasai <sirutbuasai27@outlook.com>

Author: sirutBuasai

docs/.nav.yml

@@ -2,8 +2,6 @@ nav:
   - Home: index.md
   - Getting Started:
     - get_started/index.md
-    - Installation: get_started/installation.md
-    - Quick Start: get_started/quickstart.md
   - Tutorials: tutorials
   - Reference:
     - Available Images: reference/available_images.md

docs/get_started/index.md

@@ -8,10 +8,46 @@ Get up and running with AWS Deep Learning Containers quickly.
 - Docker installed on your local machine
 - AWS CLI configured with your credentials
 
-## Guides
+## Pulling Images
 
-- [Installation](installation.md) - Set up your environment and pull your first container
-- [Quick Start](quickstart.md) - Run your first training or inference job
+Learn how to authenticate and pull AWS Deep Learning Container images.
+
+### Authentication
+
+```bash
+aws ecr get-login-password --region <region> | docker login --username AWS --password-stdin <account_id>.dkr.ecr.<region>.amazonaws.com
+```
+
+Then pull images:
+
+```bash
+docker pull <account_id>.dkr.ecr.<region>.amazonaws.com/<repository>:<tag>
+```
+
+### Image URL Format
+
+To form your container image URL, use the following format:
+
+```
+<account_id>.dkr.ecr.<region>.amazonaws.com/<repository>:<tag>
+```
+
+Where:
+
+- `<account_id>`: Find the account ID for your region in the [Region Availability](../reference/available_images.md#region-availability) table
+- `<region>`: Your AWS region (e.g., `us-east-1`, `us-west-2`, `eu-west-1`)
+- `<repository>`: The framework repository name (e.g., `pytorch-training`, `tensorflow-inference`)
+- `<tag>`: The image tag from the [Available Images](../reference/available_images.md) tables
+
+### Example
+
+```bash
+# Authenticate
+aws ecr get-login-password --region us-west-2 | docker login --username AWS --password-stdin 763104351884.dkr.ecr.us-west-2.amazonaws.com
+
+# Pull PyTorch training image
+docker pull 763104351884.dkr.ecr.us-west-2.amazonaws.com/pytorch-training:2.9.0-gpu-py312-cu130-ubuntu22.04-sagemaker
+```
 
 ## Next Steps
 

docs/get_started/installation.md

@@ -38,7 +38,7 @@ hide:
 
 ### 🎓 Hands-on Workshop
 
-- 🚀 **[LLM Deployment on EKS Workshop](https://catalog.us-east-1.prod.workshops.aws/workshops/c22b50fb-64b1-4e18-8d0f-ce990f87eed3/en-US)** - Deploy and optimize LLMs on Amazon EKS using vLLM Deep Learning Containers. | [Sample Code](https://github.com/aws-samples/sample-vllm-on-eks-with-dlc)
+- 🚀 **[LLM Deployment on EKS Workshop](https://catalog.us-east-1.prod.workshops.aws/workshops/c22b50fb-64b1-4e18-8d0f-ce990f87eed3/en-US)** - Deploy and optimize LLMs on Amazon EKS using vLLM Deep Learning Containers. For more information, see [Sample Code](https://github.com/aws-samples/sample-vllm-on-eks-with-dlc)
 
 ---
 

docs/get_started/quickstart.md

@@ -1,17 +1,4 @@
-# Available Deep Learning Containers Images
-
-Replace `<repository-name>` and `<image-tag>` based on your desired container.
-
-## Getting Started
-
-Once you've selected your desired Deep Learning Containers image, continue with one of the following:
-
-- [Amazon EC2 Tutorials](https://docs.aws.amazon.com/deep-learning-containers/latest/devguide/deep-learning-containers-ec2.html)
-- [Amazon ECS Tutorials](https://docs.aws.amazon.com/deep-learning-containers/latest/devguide/deep-learning-containers-ecs.html)
-- [Amazon EKS Tutorials](https://docs.aws.amazon.com/deep-learning-containers/latest/devguide/deep-learning-containers-eks.html)
-- [HuggingFace on AWS](https://huggingface.co/docs/sagemaker/en/index)
-- [Security in AWS Deep Learning Containers](https://docs.aws.amazon.com/deep-learning-containers/latest/devguide/security.html)
-- [Release Notes](https://docs.aws.amazon.com/deep-learning-containers/latest/devguide/dlc-release-notes.html)
+# Available Images
 
 ## Region Availability
 
@@ -53,37 +40,4 @@ Once you've selected your desired Deep Learning Containers image, continue with
 | China (Beijing)           | cn-north-1     | ✅      | ❌     | `727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/<repository-name>:<image-tag>`     |
 | China (Ningxia)           | cn-northwest-1 | ✅      | ❌     | `727897471807.dkr.ecr.cn-northwest-1.amazonaws.com.cn/<repository-name>:<image-tag>` |
 
-## Authentication
-
-```bash
-aws ecr get-login-password --region us-east-1 | docker login --username AWS --password-stdin 763104351884.dkr.ecr.us-east-1.amazonaws.com
-```
-
-Then pull images:
-
-```bash
-docker pull <name of container image>
-```
-
-## Image Tag Guide
-
-To form your container image URL, use the following format:
-
-```
-<account_id>.dkr.ecr.<region>.amazonaws.com/<repository>:<tag>
-```
-
-Where:
-
-- `<account_id>`: Find the account ID for your region in the Region Availability table above
-- `<region>`: Your AWS region (e.g., `us-east-1`, `us-west-2`, `eu-west-1`)
-- `<repository>`: The framework repository name (e.g., `pytorch-training`, `base`, `vllm`, `sglang`)
-- `<tag>`: The image tag from the tables below
-
-Example:
-
-```
-763104351884.dkr.ecr.us-west-2.amazonaws.com/pytorch-training:2.9.0-gpu-py312-cu130-ubuntu22.04-sagemaker
-```
-
 ---