Refactor the docs (#9031)

docs/platforms/nvidia_jetson.md

@@ -0,0 +1,76 @@
+# NVIDIA Jetson Orin
+
+## Prerequisites
+
+Before starting, ensure the following:
+
+- [**NVIDIA Jetson AGX Orin Devkit**](https://www.nvidia.com/en-us/autonomous-machines/embedded-systems/jetson-orin/) is set up with **JetPack 6.1** or later.
+- **CUDA Toolkit** and **cuDNN** are installed.
+- Verify that the Jetson AGX Orin is in **high-performance mode**:
+```bash
+sudo nvpmodel -m 0
+```
+* * * * *
+## Installing and running SGLang with Jetson Containers
+Clone the jetson-containers github repository:
+```
+git clone https://github.com/dusty-nv/jetson-containers.git
+```
+Run the installation script:
+```
+bash jetson-containers/install.sh
+```
+Build the container:
+```
+CUDA_VERSION=12.6 jetson-containers build sglang
+```
+Run the container:
+```
+docker run --runtime nvidia -it --rm --network=host IMAGE_NAME
+```
+* * * * *
+
+Running Inference
+-----------------------------------------
+
+Launch the server:
+```bash
+python -m sglang.launch_server \
+  --model-path deepseek-ai/DeepSeek-R1-Distill-Llama-8B \
+  --device cuda \
+  --dtype half \
+  --attention-backend flashinfer \
+  --mem-fraction-static 0.8 \
+  --context-length 8192
+```
+The quantization and limited context length (`--dtype half --context-length 8192`) are due to the limited computational resources in [Nvidia jetson kit](https://www.nvidia.com/en-us/autonomous-machines/embedded-systems/jetson-orin/). A detailed explanation can be found in [Server Arguments](../backend/server_arguments.md).
+
+After launching the engine, refer to [Chat completions](https://docs.sglang.ai/backend/openai_api_completions.html#Usage) to test the usability.
+* * * * *
+Running quantization with TorchAO
+-------------------------------------
+TorchAO is suggested to NVIDIA Jetson Orin.
+```bash
+python -m sglang.launch_server \
+    --model-path meta-llama/Meta-Llama-3.1-8B-Instruct \
+    --device cuda \
+    --dtype bfloat16 \
+    --attention-backend flashinfer \
+    --mem-fraction-static 0.8 \
+    --context-length 8192 \
+    --torchao-config int4wo-128
+```
+This enables TorchAO's int4 weight-only quantization with a 128-group size. The usage of `--torchao-config int4wo-128` is also for memory efficiency.
+
+
+* * * * *
+Structured output with XGrammar
+-------------------------------
+Please refer to [SGLang doc structured output](../backend/structured_outputs.ipynb).
+* * * * *
+
+Thanks to the support from [shahizat](https://github.com/shahizat).
+
+References
+----------
+-   [NVIDIA Jetson AGX Orin Documentation](https://developer.nvidia.com/embedded/jetson-agx-orin)