diff --git a/README.md b/README.md
index 5750434..dd49771 100644
--- a/README.md
+++ b/README.md
@@ -63,6 +63,7 @@ $ kubectl -n paddle-system get pdj
 ```
 
 ### Uninstall
+
 Simply
 ```shell
 $ kubectl delete -f https://raw.githubusercontent.com/PaddleFlow/paddle-operator/main/deploy/v1/crd.yaml -f https://raw.githubusercontent.com/PaddleFlow/paddle-operator/main/deploy/v1/operator.yaml
diff --git a/deploy/examples/paddlepaddle_on_volcano.md b/deploy/examples/paddlepaddle_on_volcano.md
new file mode 100644
index 0000000..7addbe2
--- /dev/null
+++ b/deploy/examples/paddlepaddle_on_volcano.md
@@ -0,0 +1,220 @@
+### Run demo paddlejob on volcano
+
+Volcano is a batch scheduling system based on kubernetes. Using it for jobs scheduling results in better performance.Volcano installation, you can refer to [this website](https://volcano.sh/en/docs/installation/).
+
+Edit `ctr-Volcano. yaml` in the node.
+
+```
+apiVersion: batch.volcano.sh/v1alpha1
+kind: Job
+metadata:
+  name: ctr-volcano
+spec:
+  minAvailable: 4
+  schedulerName: volcano
+  policies:
+  - event: PodEvicted
+    action: RestartJob
+  - event: PodFailed
+    action: RestartJob
+  tasks:
+  - replicas: 2
+    name: pserver
+    template:
+      metadata:
+        labels:
+          paddle-job-pserver: fluid-ctr
+      spec:
+        imagePullSecrets:
+        - name: default-secret
+        volumes:
+        - hostPath:
+            path: /home/work/
+            type: ""
+          name: seqdata
+        containers:
+        - image: volcanosh/edlctr:v1
+          command:
+          - paddle_k8s
+          - start_fluid
+          imagePullPolicy: IfNotPresent
+          name: pserver
+          volumeMounts:
+          - mountPath: /mnt/seqdata
+            name: seqdata
+          resources:
+            limits:
+              cpu: 10
+              memory: 30Gi
+              ephemeral-storage: 10Gi
+            requests:
+              cpu: 1
+              memory: 100M
+              ephemeral-storage: 1Gi
+          env:
+          - name: GLOG_v
+            value: "0"
+          - name: GLOG_logtostderr
+            value: "1"
+          - name: TOPOLOGY
+            value: ""
+          - name: TRAINER_PACKAGE
+            value: /workspace
+          - name: NAMESPACE
+            valueFrom:
+              fieldRef:
+                apiVersion: v1
+                fieldPath: metadata.namespace
+          - name: POD_IP
+            valueFrom:
+              fieldRef:
+                apiVersion: v1
+                fieldPath: status.podIP
+          - name: POD_NAME
+            valueFrom:
+              fieldRef:
+                apiVersion: v1
+                fieldPath: metadata.name
+          - name: PADDLE_CURRENT_IP
+            valueFrom:
+              fieldRef:
+                apiVersion: v1
+                fieldPath: status.podIP
+          - name: PADDLE_JOB_NAME
+            value: fluid-ctr
+          - name: PADDLE_IS_LOCAL
+            value: "0"
+          - name: PADDLE_TRAINERS_NUM
+            value: "2"
+          - name: PADDLE_PSERVERS_NUM
+            value: "2"
+          - name: FLAGS_rpc_deadline
+            value: "36000000"
+          - name: ENTRY
+            value: cd /workspace/ctr && python train.py --is_local 0 --cloud_train 1
+          - name: PADDLE_PORT
+            value: "30236"
+          - name: LD_LIBRARY_PATH
+            value: /usr/local/lib:/usr/local/nvidia/lib64:/usr/local/rdma/lib64:/usr/lib64/mlnx_ofed/valgrind
+          - name: PADDLE_TRAINING_ROLE
+            value: PSERVER
+          - name: TRAINING_ROLE
+            value: PSERVER
+        restartPolicy: OnFailure
+  - replicas: 2
+    policies:
+    - event: TaskCompleted
+      action: CompleteJob
+    name: trainer
+    template:
+      metadata:
+        labels:
+          paddle-job: fluid-ctr
+      spec:
+        imagePullSecrets:
+        - name: default-secret
+        volumes:
+        - hostPath:
+            path: /home/work/
+            type: ""
+          name: seqdata
+        containers:
+        - image: volcanosh/edlctr:v1
+          command:
+          - paddle_k8s
+          - start_fluid
+          imagePullPolicy: IfNotPresent
+          name: trainer
+          volumeMounts:
+          - mountPath: /mnt/seqdata
+            name: seqdata
+          resources:
+            limits:
+              cpu: 10
+              memory: 30Gi
+              ephemeral-storage: 10Gi
+            requests:
+              cpu: 1
+              memory: 100M
+              ephemeral-storage: 10Gi
+          env:
+          - name: GLOG_v
+            value: "0"
+          - name: GLOG_logtostderr
+            value: "1"
+          - name: TOPOLOGY
+          - name: TRAINER_PACKAGE
+            value: /workspace
+          - name: CPU_NUM
+            value: "2"
+          - name: NAMESPACE
+            valueFrom:
+              fieldRef:
+                apiVersion: v1
+                fieldPath: metadata.namespace
+          - name: POD_IP
+            valueFrom:
+              fieldRef:
+                apiVersion: v1
+                fieldPath: status.podIP
+          - name: POD_NAME
+            valueFrom:
+              fieldRef:
+                apiVersion: v1
+                fieldPath: metadata.name
+          - name: PADDLE_CURRENT_IP
+            valueFrom:
+              fieldRef:
+                apiVersion: v1
+                fieldPath: status.podIP
+          - name: PADDLE_JOB_NAME
+            value: fluid-ctr
+          - name: PADDLE_IS_LOCAL
+            value: "0"
+          - name: FLAGS_rpc_deadline
+            value: "36000000"
+          - name: PADDLE_PORT
+            value: "30236"
+          - name: PADDLE_PSERVERS_NUM
+            value: "2"
+          - name: PADDLE_TRAINERS_NUM
+            value: "2"
+          - name: PADDLE_TRAINING_ROLE
+            value: TRAINER
+          - name: TRAINING_ROLE
+            value: TRAINER
+          - name: LD_LIBRARY_PATH
+            value: /usr/local/lib:/usr/local/nvidia/lib64:/usr/local/rdma/lib64:/usr/lib64/mlnx_ofed/valgrind
+          - name: ENTRY
+            value: cd /workspace/ctr && python train.py --is_local 0 --cloud_train 1
+        restartPolicy: OnFailure
+
+```
+
+Deployment of job.
+
+```
+kubectl apply -f ctr-volcano.yaml
+```
+
+Query if the job is running properly.If the PodGroup cannot meet the scheduling conditions, check that the cluster has sufficient resources available.
+
+```
+kubectl get podgroup
+kubectl describe podgroup ctr-volcano
+kubectl get pods | grep ctr-volcano
+```
+
+You can select a PServer task to view the log.
+
+```
+kubectl logs ctr-volcano-pserver-0
+```
+
+Select a Tariner task to view the log.
+
+```
+kubectl logs ctr-volcano-trainer-0
+```
+
+###