diff --git a/docs/source/deployment/docker.md b/docs/source/deployment/docker.md
index 2606e2765c1ae..438be47316f3b 100644
--- a/docs/source/deployment/docker.md
+++ b/docs/source/deployment/docker.md
@@ -42,6 +42,9 @@ DOCKER_BUILDKIT=1 docker build . --target vllm-openai --tag vllm/vllm-openai
 By default vLLM will build for all GPU types for widest distribution. If you are just building for the
 current GPU type the machine is running on, you can add the argument `--build-arg torch_cuda_arch_list=""`
 for vLLM to find the current GPU type and build for that.
+
+If you are using Podman instead of Docker, you might need to disable SELinux labeling by
+adding `--security-opt label=disable` when running `podman build` command to avoid certain [existing issues](https://github.com/containers/buildah/discussions/4184).
 ```
 
 ## Building for Arm64/aarch64