diff --git a/README.md b/README.md
index f5ca850..b6098e7 100644
--- a/README.md
+++ b/README.md
@@ -18,8 +18,8 @@ Find the installation and run instructions [here](https://github.com/NVIDIA/gpu-
 
 To gather metrics on a GPU node, simply start the dcgm-exporter container:
 ```
-$ docker run -d --gpus all --rm -p 8080:8080 nvidia/dcgm-exporter:latest
-$ curl localhost:8080/metrics
+$ docker run -d --gpus all --rm -p 9400:9400 nvidia/dcgm-exporter:latest
+$ curl localhost:9400/metrics
 # HELP DCGM_FI_DEV_SM_CLOCK SM clock frequency (in MHz).
 # TYPE DCGM_FI_DEV_SM_CLOCK gauge
 # HELP DCGM_FI_DEV_MEM_CLOCK Memory clock frequency (in MHz).
@@ -44,8 +44,8 @@ $ kubectl create -f https://raw.githubusercontent.com/NVIDIA/gpu-monitoring-tool
 $ NAME=$(kubectl get pods -l "app.kubernetes.io/name=dcgm-exporter, app.kubernetes.io/version=2.0.0-rc.0" \
                          -o "jsonpath={ .items[0].metadata.name}")
 
-$ kubectl proxy --port=8080
-$ curl http://localhost:8080/api/v1/namespaces/default/pods/$NAME:8080/proxy
+$ kubectl proxy --port=9400
+$ curl http://localhost:9400/api/v1/namespaces/default/pods/$NAME:9400/proxy
 # HELP DCGM_FI_DEV_SM_CLOCK SM clock frequency (in MHz).
 # TYPE DCGM_FI_DEV_SM_CLOCK gauge
 # HELP DCGM_FI_DEV_MEM_CLOCK Memory clock frequency (in MHz).
diff --git a/pkg/main.go b/pkg/main.go
index 6ce5b20..ea4c45e 100644
--- a/pkg/main.go
+++ b/pkg/main.go
@@ -53,7 +53,7 @@ func main() {
 		&cli.IntFlag{
 			Name:    CLIPort,
 			Aliases: []string{"p"},
-			Value:   8080,
+			Value:   9400,
 			Usage:   "Port",
 			EnvVars: []string{"DCGM_EXPORTER_PORT"},
 		},