docs: update README (#2651)

benchmark/deepseek_v3/README.md

@@ -7,7 +7,7 @@ Special thanks to Meituan's Search & Recommend Platform Team and Baseten's Model
 ## Hardware Recommendation
 - 8 x NVIDIA H200 GPUs
 
-If you do not have GPUs with large enough memory, please try multi-node tensor parallelism ([help 1](https://github.com/sgl-project/sglang/blob/637de9e8ce91fd3e92755eb2a842860925954ab1/docs/backend/backend.md?plain=1#L88-L95) [help 2](https://github.com/sgl-project/sglang/blob/637de9e8ce91fd3e92755eb2a842860925954ab1/docs/backend/backend.md?plain=1#L152-L168)).
+If you do not have GPUs with large enough memory, please try multi-node tensor parallelism ([help 1](https://github.com/sgl-project/sglang/blob/637de9e8ce91fd3e92755eb2a842860925954ab1/docs/backend/backend.md?plain=1#L88-L95) [help 2](https://github.com/sgl-project/sglang/blob/637de9e8ce91fd3e92755eb2a842860925954ab1/docs/backend/backend.md?plain=1#L152-L168)). Here is an example serving with [2 H20 node](https://github.com/sgl-project/sglang/tree/main/benchmark/deepseek_v3#example-serving-with-2-h208)
 
 ## Installation & Launch
 
@@ -15,6 +15,11 @@ If you encounter errors when starting the server, ensure the weights have finish
 
 ### Using Docker (Recommended)
 ```bash
+# Pull latest image
+# https://hub.docker.com/r/lmsysorg/sglang/tags
+docker pull lmsysorg/sglang:latest
+
+# Launch
 docker run --gpus all --shm-size 32g -p 30000:30000 -v ~/.cache/huggingface:/root/.cache/huggingface --ipc=host lmsysorg/sglang:latest \
     python3 -m sglang.launch_server --model deepseek-ai/DeepSeek-V3 --tp 8 --trust-remote-code --port 30000
 ```
@@ -62,6 +67,8 @@ GLOO_SOCKET_IFNAME=eth0 python -m sglang.launch_server --model-path deepseek-ai/
 GLOO_SOCKET_IFNAME=eth0 python -m sglang.launch_server --model-path deepseek-ai/DeepSeek-V3 --tp 16 --nccl-init 10.0.0.1:5000 --nnodes 2 --node-rank 1 --trust-remote-code
 ```
 
+If you have two H100 nodes, the usage is similar to the aforementioned H20.
+
 ## DeepSeek V3 Optimization Plan
 
 https://github.com/sgl-project/sglang/issues/2591

docs/developer/development_guide_using_docker.md

@@ -14,6 +14,8 @@ tar xf vscode_cli_alpine_x64_cli.tar.gz
 
 ## Setup Docker Container
 
+The following startup command is an example for internal development by the SGLang team. You can **modify or add directory mappings as needed**, especially for model weight downloads, to prevent repeated downloads by different Docker containers.
+
 ### H100
 
 ```bash