fix all readmes + added in quickstart commands

components/backends/sglang/README.md

@@ -43,11 +43,11 @@ git checkout $(git describe --tags $(git rev-list --tags --max-count=1))
 
 ### Large Scale P/D and WideEP Features
 
-| Feature            | SGLang | Notes                                                                 |
-|--------------------|--------|-----------------------------------------------------------------------|
-| **WideEP**         | ✅/🚧 | Full support on H100s/GB200 WIP [PR](https://github.com/sgl-project/sglang/pull/7556)                                     |
-| **DP Rank Routing**| 🚧    | Direct routing supported. Process per DP rank is not supported        |
-| **GB200 Support**  | 🚧    | WIP [PR](https://github.com/sgl-project/sglang/pull/7556) |
+| Feature             | SGLang | Notes                                                        |
+|---------------------|--------|--------------------------------------------------------------|
+| **WideEP**          | ✅     | Full support on H100s/GB200                                  |
+| **DP Rank Routing** | 🚧     | Direct routing supported. Dynamo KV router does not router to DP worker |
+| **GB200 Support**   | ✅     |                                                              |
 
 
 ## Quick Start

components/backends/vllm/README.md

@@ -47,7 +47,7 @@ git checkout $(git describe --tags $(git rev-list --tags --max-count=1))
 | Feature            | vLLM | Notes                                                                 |
 |--------------------|------|-----------------------------------------------------------------------|
 | **WideEP**         | ✅   | Support for PPLX / DeepEP not verified                                           |
-| **DP Rank Routing**| ✅   | Supported via external control of DP ranks |
+| **Attention DP**   | ✅   | Supported via external control of DP ranks |
 | **GB200 Support**  | 🚧   | Container functional on main |
 
 ## Quick Start

docs/architecture/dynamo_flow.md

@@ -67,7 +67,7 @@ Coordination and messaging support:
 
 ## Technical Implementation Details
 
-### NIXL (NVIDIA Interchange Library):
+### NIXL (NVIDIA Inference Xfer Library):
 - Enables high-speed GPU-to-GPU data transfers using NVLink/PCIe
 - Decode Worker publishes GPU metadata to ETCD for coordination
 - PrefillWorker loads metadata to establish direct communication channels

docs/index.rst

@@ -32,7 +32,55 @@ The NVIDIA Dynamo Platform is a high-performance, low-latency inference framewor
 
 Quick Start
 -----------------
-Follow the :doc:`Quick Guide to install Dynamo Platform <guides/dynamo_deploy/quickstart>`.
+
+Local Deployment
+~~~~~~~~~~~~~~~~
+
+Get started with Dynamo locally in just a few commands:
+
+**1. Install Dynamo**
+
+.. code-block:: bash
+
+   # Install uv (recommended Python package manager)
+   curl -LsSf https://astral.sh/uv/install.sh | sh
+
+   # Create virtual environment and install Dynamo
+   uv venv venv
+   source venv/bin/activate
+   uv pip install "ai-dynamo[sglang]"  # or [vllm], [trtllm]
+
+**2. Start etcd/NATS** 
+
+.. code-block:: bash
+
+   # Start etcd and NATS using Docker Compose
+   docker compose -f deploy/docker-compose.yml up -d
+
+**3. Run Dynamo**
+
+.. code-block:: bash
+
+   # Start the OpenAI compatible frontend
+   python -m dynamo.frontend
+
+   # In another terminal, start an SGLang worker
+   python -m dynamo.sglang.worker deepseek-ai/DeepSeek-R1-Distill-Llama-8B
+
+**4. Test your deployment**
+
+.. code-block:: bash
+
+   curl localhost:8080/v1/chat/completions \
+     -H "Content-Type: application/json" \
+     -d '{"model": "deepseek-ai/DeepSeek-R1-Distill-Llama-8B", 
+          "messages": [{"role": "user", "content": "Hello!"}], 
+          "max_tokens": 50}'
+
+Kubernetes Deployment  
+~~~~~~~~~~~~~~~~~~~~~
+
+For deployments on Kubernetes, follow the :doc:`Dynamo Platform Quickstart Guide <guides/dynamo_deploy/quickstart>`.
 
 
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