diff --git a/docs/get_started/install.md b/docs/get_started/install.md
index 05e3eaefe..c14610159 100644
--- a/docs/get_started/install.md
+++ b/docs/get_started/install.md
@@ -51,6 +51,8 @@ docker run --gpus all \
     python3 -m sglang.launch_server --model-path meta-llama/Llama-3.1-8B-Instruct --host 0.0.0.0 --port 30000
 ```
 
+You can also find the nightly docker images [here](https://hub.docker.com/r/lmsysorg/sglang/tags?name=nightly).
+
 ## Method 4: Using Kubernetes
 
 Please check out [OME](https://github.com/sgl-project/ome), a Kubernetes operator for enterprise-grade management and serving of large language models (LLMs).