diff --git a/src/nni_manager/rest_server/restValidationSchemas.ts b/src/nni_manager/rest_server/restValidationSchemas.ts
index 2a29777dd7..a298869d15 100644
--- a/src/nni_manager/rest_server/restValidationSchemas.ts
+++ b/src/nni_manager/rest_server/restValidationSchemas.ts
@@ -39,8 +39,26 @@ export namespace ValidationSchemas {
                 outputDir: joi.string(),
                 cpuNum: joi.number().min(1),
                 memoryMB: joi.number().min(100),
-                gpuNum: joi.number().min(0).required(),
-                command: joi.string().min(1).required()                
+                gpuNum: joi.number().min(0),
+                command: joi.string().min(1),
+                worker: joi.object({
+                    replicas: joi.number().min(1).required(),
+                    image: joi.string().min(1),
+                    outputDir: joi.string(),
+                    cpuNum: joi.number().min(1),
+                    memoryMB: joi.number().min(100),
+                    gpuNum: joi.number().min(0).required(),
+                    command: joi.string().min(1).required()
+                }),
+                ps: joi.object({
+                        replicas: joi.number().min(1).required(),
+                        image: joi.string().min(1),
+                        outputDir: joi.string(),
+                        cpuNum: joi.number().min(1),
+                        memoryMB: joi.number().min(100),
+                        gpuNum: joi.number().min(0).required(),
+                        command: joi.string().min(1).required()
+                })
             }),
             pai_config: joi.object({
                 userName: joi.string().min(1).required(),
diff --git a/src/nni_manager/training_service/kubeflow/kubeflowConfig.ts b/src/nni_manager/training_service/kubeflow/kubeflowConfig.ts
index dca552ee11..d24c309b21 100644
--- a/src/nni_manager/training_service/kubeflow/kubeflowConfig.ts
+++ b/src/nni_manager/training_service/kubeflow/kubeflowConfig.ts
@@ -79,15 +79,44 @@ export class NFSConfig {
 /**
  * Trial job configuration for Kubeflow
  */
-export class KubeflowTrialConfig extends TrialConfig {
+export class KubeflowTrialConfigTemplate {
+    /** replication number of current role */
+    public readonly replicas: number;
+
+    /** CPU number */
     public readonly cpuNum: number;
+
+    /** Memory  */
     public readonly memoryMB: number;
+
+    /** Docker image */
     public readonly image: string;
+
+    /** Trail command */
+    public readonly command : string;
+
+    /** Required GPU number for trial job. The number should be in [0,100] */
+    public readonly gpuNum : number;
     
-    constructor(command : string, codeDir : string, gpuNum : number, cpuNum: number, memoryMB: number, image: string) {
-        super(command, codeDir, gpuNum);
+    constructor(replicas: number, command : string, gpuNum : number, 
+        cpuNum: number, memoryMB: number, image: string) {
+        this.replicas = replicas;
+        this.command = command;
+        this.gpuNum = gpuNum;
         this.cpuNum = cpuNum;
         this.memoryMB = memoryMB;
         this.image = image;
     }
+}
+
+export class KubeflowTrialConfig {
+    public readonly codeDir: string;
+    public readonly ps?: KubeflowTrialConfigTemplate;
+    public readonly worker: KubeflowTrialConfigTemplate;
+
+    constructor(codeDir: string, worker: KubeflowTrialConfigTemplate, ps?: KubeflowTrialConfigTemplate) {
+        this.codeDir = codeDir;
+        this.worker = worker;
+        this.ps = ps;
+    }
 }
\ No newline at end of file
diff --git a/src/nni_manager/training_service/kubeflow/kubeflowData.ts b/src/nni_manager/training_service/kubeflow/kubeflowData.ts
index f65d0cb603..0dce48732e 100644
--- a/src/nni_manager/training_service/kubeflow/kubeflowData.ts
+++ b/src/nni_manager/training_service/kubeflow/kubeflowData.ts
@@ -72,7 +72,7 @@ mkdir -p $NNI_OUTPUT_DIR
 cp -rT $NNI_CODE_DIR $NNI_SYS_DIR
 cd $NNI_SYS_DIR
 sh install_nni.sh # Check and install NNI pkg
-python3 -m nni_trial_tool.trial_keeper --trial_command '{6}' --nnimanager_ip '{7}' --nnimanager_port '{8}' 1>$NNI_OUTPUT_DIR/trialkeeper_stdout 2>$NNI_OUTPUT_DIR//trialkeeper_stderr
+python3 -m nni_trial_tool.trial_keeper --trial_command '{6}' --nnimanager_ip '{7}' --nnimanager_port '{8}' 1>$NNI_OUTPUT_DIR/trialkeeper_stdout 2>$NNI_OUTPUT_DIR/trialkeeper_stderr
 `
 
 export type KubeflowTFJobType = 'Created' | 'Running' | 'Failed' | 'Succeeded';
\ No newline at end of file
diff --git a/src/nni_manager/training_service/kubeflow/kubeflowTrainingService.ts b/src/nni_manager/training_service/kubeflow/kubeflowTrainingService.ts
index 1f3b30b404..96082fb984 100644
--- a/src/nni_manager/training_service/kubeflow/kubeflowTrainingService.ts
+++ b/src/nni_manager/training_service/kubeflow/kubeflowTrainingService.ts
@@ -37,13 +37,15 @@ import {
     TrialJobDetail, TrialJobMetric
 } from '../../common/trainingService';
 import { delay, generateParamFileName, getExperimentRootDir, getIPV4Address, uniqueString } from '../../common/utils';
-import { KubeflowClusterConfig, kubeflowOperatorMap, KubeflowTrialConfig, NFSConfig } from './kubeflowConfig';
+import { KubeflowClusterConfig, kubeflowOperatorMap, KubeflowTrialConfig, KubeflowTrialConfigTemplate, NFSConfig } from './kubeflowConfig';
 import { KubeflowTrialJobDetail, KUBEFLOW_RUN_SHELL_FORMAT } from './kubeflowData';
 import { KubeflowJobRestServer } from './kubeflowJobRestServer';
 import { KubeflowJobInfoCollector } from './kubeflowJobInfoCollector';
 
 var yaml = require('node-yaml');
 
+type DistTrainRole = 'worker' | 'ps';
+
 /**
  * Training Service implementation for Kubeflow
  * Refer https://github.com/kubeflow/kubeflow for more info about Kubeflow
@@ -64,7 +66,7 @@ class KubeflowTrainingService implements TrainingService {
     private kubeflowJobInfoCollector: KubeflowJobInfoCollector;
     private kubeflowRestServerPort?: number;
     private kubeflowJobPlural?: string;
-    private readonly CONTAINER_MOUNT_PATH: string;
+    private readonly CONTAINER_MOUNT_PATH: string;    
     
     constructor() {        
         this.log = getLogger();
@@ -93,8 +95,8 @@ class KubeflowTrainingService implements TrainingService {
             throw new Error('Kubeflow Cluster config is not initialized');
         }
 
-        if(!this.kubeflowTrialConfig) {
-            throw new Error('Kubeflow trial config is not initialized');
+        if(!this.kubeflowTrialConfig || !this.kubeflowTrialConfig.worker) {
+            throw new Error('Kubeflow trial config or worker config is not initialized');
         }
 
         if(!this.kubeflowJobPlural) {
@@ -119,47 +121,57 @@ class KubeflowTrainingService implements TrainingService {
         // Write NNI installation file to local tmp files
         await fs.promises.writeFile(path.join(trialLocalTempFolder, 'install_nni.sh'), runScriptContent, { encoding: 'utf8' });
 
-        const kubeflowRunScriptContent: string = String.Format(
-            KUBEFLOW_RUN_SHELL_FORMAT,
-            `$PWD/nni/${trialJobId}`,
-            path.join(trialWorkingFolder, 'output'),
-            trialJobId,
-            getExperimentId(),
-            trialWorkingFolder,
-            curTrialSequenceId,
-            this.kubeflowTrialConfig.command,
-            getIPV4Address(),
-            this.kubeflowRestServerPort
-            );
-
-        //create tmp trial working folder locally.
+        // Create tmp trial working folder locally.
         await cpp.exec(`mkdir -p ${trialLocalTempFolder}`);
 
-        // Write file content ( run.sh and parameter.cfg ) to local tmp files
-        await fs.promises.writeFile(path.join(trialLocalTempFolder, 'run.sh'), kubeflowRunScriptContent, { encoding: 'utf8' });
+        // Write worker file content run_worker.sh to local tmp folders
+        if(this.kubeflowTrialConfig.worker) {
+            const workerRunScriptContent: string = this.genereateRunScript(trialJobId, trialWorkingFolder, 
+                    this.kubeflowTrialConfig.worker.command, curTrialSequenceId.toString(), 'worker');
+
+            await fs.promises.writeFile(path.join(trialLocalTempFolder, 'run_worker.sh'), workerRunScriptContent, { encoding: 'utf8' });
+        }
+
+        // Write parameter server file content run_ps.sh to local tmp folders
+        if(this.kubeflowTrialConfig.ps) {
+            const psRunScriptContent: string = this.genereateRunScript(trialJobId, trialWorkingFolder, 
+                this.kubeflowTrialConfig.ps.command, curTrialSequenceId.toString(), 'ps');
+
+            await fs.promises.writeFile(path.join(trialLocalTempFolder, 'run_ps.sh'), psRunScriptContent, { encoding: 'utf8' });
+        }
 
         // Write file content ( parameter.cfg ) to local tmp folders
         const trialForm : TrialJobApplicationForm = (<TrialJobApplicationForm>form)
         if(trialForm && trialForm.hyperParameters) {
             await fs.promises.writeFile(path.join(trialLocalTempFolder, generateParamFileName(trialForm.hyperParameters)), 
                             trialForm.hyperParameters.value, { encoding: 'utf8' });
-        }               
+        }
 
         const kubeflowJobYamlPath = path.join(trialLocalTempFolder, `kubeflow-job-${trialJobId}.yaml`);
         const kubeflowJobName = `nni-exp-${this.experimentId}-trial-${trialJobId}`.toLowerCase();
-        const podResources : any = {};
-        podResources.requests = {
-            'memory': `${this.kubeflowTrialConfig.memoryMB}Mi`,
-            'cpu': `${this.kubeflowTrialConfig.cpuNum}`,
-            'nvidia.com/gpu': `${this.kubeflowTrialConfig.gpuNum}`
+        const workerPodResources : any = {};
+        workerPodResources.requests = {
+            'memory': `${this.kubeflowTrialConfig.worker.memoryMB}Mi`,
+            'cpu': `${this.kubeflowTrialConfig.worker.cpuNum}`,
+            'nvidia.com/gpu': `${this.kubeflowTrialConfig.worker.gpuNum}`
         }
-
-        podResources.limits = Object.assign({}, podResources.requests);
+        workerPodResources.limits = Object.assign({}, workerPodResources.requests);
+
+        let psPodResources : any = undefined;
+        if(this.kubeflowTrialConfig.ps) {
+            psPodResources = {};
+            psPodResources.requests = {
+                'memory': `${this.kubeflowTrialConfig.ps.memoryMB}Mi`,
+                'cpu': `${this.kubeflowTrialConfig.ps.cpuNum}`,
+                'nvidia.com/gpu': `${this.kubeflowTrialConfig.ps.gpuNum}`
+            }
+            psPodResources.limits = Object.assign({}, psPodResources.requests);
+        }        
 
         // Generate kubeflow job resource yaml file for K8S
         yaml.write(
             kubeflowJobYamlPath,
-            this.generateKubeflowJobConfig(trialJobId, trialWorkingFolder, kubeflowJobName, podResources),
+            this.generateKubeflowJobConfig(trialJobId, trialWorkingFolder, kubeflowJobName, workerPodResources, psPodResources),
             'utf-8'
         );
 
@@ -281,6 +293,7 @@ class KubeflowTrainingService implements TrainingService {
                 }
 
                 this.kubeflowTrialConfig = <KubeflowTrialConfig>JSON.parse(value);
+                assert(this.kubeflowClusterConfig !== undefined && this.kubeflowTrialConfig.worker !== undefined);
                 break;
             default:
                 break;
@@ -339,7 +352,15 @@ class KubeflowTrainingService implements TrainingService {
         return this.metricsEmitter;
     }
 
-    private generateKubeflowJobConfig(trialJobId: string, trialWorkingFolder: string, kubeflowJobName : string, podResources : any) : any {
+    /**
+     * Generate kubeflow resource config file
+     * @param trialJobId trial job id
+     * @param trialWorkingFolder working folder
+     * @param kubeflowJobName job name
+     * @param workerPodResources worker pod template
+     * @param psPodResources ps pod template
+     */
+    private generateKubeflowJobConfig(trialJobId: string, trialWorkingFolder: string, kubeflowJobName : string, workerPodResources : any, psPodResources?: any) : any {
         if(!this.kubeflowClusterConfig) {
             throw new Error('Kubeflow Cluster config is not initialized');
         }
@@ -348,6 +369,15 @@ class KubeflowTrainingService implements TrainingService {
             throw new Error('Kubeflow trial config is not initialized');
         }
 
+        const tfReplicaSpecsObj: any = {};
+        tfReplicaSpecsObj.Worker = this.generateReplicaConfig(trialWorkingFolder, this.kubeflowTrialConfig.worker.replicas, 
+            this.kubeflowTrialConfig.worker.image, 'run_worker.sh', workerPodResources);
+
+        if(this.kubeflowTrialConfig.ps) {
+            tfReplicaSpecsObj.Ps = this.generateReplicaConfig(trialWorkingFolder, this.kubeflowTrialConfig.ps.replicas, 
+                this.kubeflowTrialConfig.ps.image, 'run_ps.sh', psPodResources);
+        }
+
         return {
             apiVersion: 'kubeflow.org/v1alpha2',
             kind: 'TFJob',
@@ -361,44 +391,84 @@ class KubeflowTrainingService implements TrainingService {
                 }
             },
             spec: {
-                tfReplicaSpecs: {
-                    Worker: {
-                        replicas: 1,
-                        template: {
-                            metadata: {
-                                creationTimestamp: null
-                            },
-                            spec: {
-                                containers: [
-                                {
-                                    // Kubeflow tensorflow operator requires that containers' name must be tensorflow
-                                    // TODO: change the name based on operator's type
-                                    name: 'tensorflow',
-                                    image: this.kubeflowTrialConfig.image,
-                                    args: ["sh", `${path.join(trialWorkingFolder, 'run.sh')}`],
-                                    volumeMounts: [{
-                                        name: 'nni-nfs-vol',
-                                        mountPath: this.CONTAINER_MOUNT_PATH
-                                    }],
-                                    resources: podResources//,
-                                    //workingDir: '/tmp/nni/nuDEP'
-                                }],
-                                restartPolicy: 'ExitCode',
-                                volumes: [{
-                                    name: 'nni-nfs-vol',
-                                    nfs: {
-                                        server: `${this.kubeflowClusterConfig.nfs.server}`,
-                                        path: `${this.kubeflowClusterConfig.nfs.path}`
-                                    }
-                                }]
-                            }
-                        }
-                    }
-                }
+                tfReplicaSpecs: tfReplicaSpecsObj
             }                
         };        
     }
 
+    /**
+     * Generate tf-operator's tfjobs replica config section
+     * @param trialWorkingFolder trial working folder
+     * @param replicaNumber replica number
+     * @param replicaImage image
+     * @param runScriptFile script file name
+     * @param podResources pod resource config section
+     */
+    private generateReplicaConfig(trialWorkingFolder: string, replicaNumber: number, replicaImage: string, runScriptFile: string, podResources: any): any {
+        if(!this.kubeflowClusterConfig) {
+            throw new Error('Kubeflow Cluster config is not initialized');
+        }
+
+        if(!this.kubeflowTrialConfig) {
+            throw new Error('Kubeflow trial config is not initialized');
+        }
+
+        return {
+            replicas: replicaNumber,
+            template: {
+                metadata: {
+                    creationTimestamp: null
+                },
+                spec: {
+                    containers: [
+                    {
+                        // Kubeflow tensorflow operator requires that containers' name must be tensorflow
+                        // TODO: change the name based on operator's type
+                        name: 'tensorflow',
+                        image: replicaImage,
+                        args: ["sh", `${path.join(trialWorkingFolder, runScriptFile)}`],
+                        volumeMounts: [{
+                            name: 'nni-nfs-vol',
+                            mountPath: this.CONTAINER_MOUNT_PATH
+                        }],
+                        resources: podResources
+                    }],
+                    restartPolicy: 'ExitCode',
+                    volumes: [{
+                        name: 'nni-nfs-vol',
+                        nfs: {
+                            server: `${this.kubeflowClusterConfig.nfs.server}`,
+                            path: `${this.kubeflowClusterConfig.nfs.path}`
+                        }
+                    }]
+                }
+            }
+        };
+    }
+
+    /**
+     * Genereate run script for different roles(like worker or ps)
+     * @param trialJobId trial job id
+     * @param trialWorkingFolder working folder
+     * @param command 
+     * @param trialSequenceId sequence id
+     */
+    private genereateRunScript(trialJobId: string, trialWorkingFolder: string, 
+                command: string, trialSequenceId: string, roleType: DistTrainRole): string {
+        return String.Format(
+            KUBEFLOW_RUN_SHELL_FORMAT,
+            `$PWD/nni/${trialJobId}`,
+            path.join(trialWorkingFolder, `${roleType}_output`),
+            trialJobId,
+            getExperimentId(),
+            trialWorkingFolder,
+            trialSequenceId,
+            command,
+            getIPV4Address(),
+            this.kubeflowRestServerPort
+            );
+    }
+
     private generateSequenceId(): number {
         if (this.nextTrialSequenceId === -1) {
             this.nextTrialSequenceId = getInitTrialSequenceId();
diff --git a/tools/nni_cmd/config_schema.py b/tools/nni_cmd/config_schema.py
index c1cdfe688e..c8de08010d 100644
--- a/tools/nni_cmd/config_schema.py
+++ b/tools/nni_cmd/config_schema.py
@@ -92,12 +92,23 @@
 
 kubeflow_trial_schema = {
 'trial':{
-    'command': str,
-    'codeDir': os.path.exists,
-    'gpuNum': And(int, lambda x: 0 <= x <= 99999),
-    'cpuNum': And(int, lambda x: 0 <= x <= 99999),
-    'memoryMB': int,
-    'image': str
+        'codeDir':  os.path.exists,
+        Optional('ps'): {
+            'replicas': int,
+            'command': str,
+            'gpuNum': And(int, lambda x: 0 <= x <= 99999),
+            'cpuNum': And(int, lambda x: 0 <= x <= 99999),
+            'memoryMB': int,
+            'image': str
+        },
+        'worker':{
+            'replicas': int,
+            'command': str,
+            'gpuNum': And(int, lambda x: 0 <= x <= 99999),
+            'cpuNum': And(int, lambda x: 0 <= x <= 99999),
+            'memoryMB': int,
+            'image': str
+        } 
     }
 }
 
diff --git a/tools/nni_cmd/launcher.py b/tools/nni_cmd/launcher.py
index 2b3382495d..5ea6c33d37 100644
--- a/tools/nni_cmd/launcher.py
+++ b/tools/nni_cmd/launcher.py
@@ -99,21 +99,7 @@ def start_rest_server(port, platform, mode, config_file_name, experiment_id=None
 def set_trial_config(experiment_config, port, config_file_name):
     '''set trial configuration'''
     request_data = dict()
-    value_dict = dict()
-    value_dict['command'] = experiment_config['trial']['command']
-    value_dict['codeDir'] = experiment_config['trial']['codeDir']
-    value_dict['gpuNum'] = experiment_config['trial']['gpuNum']
-    if experiment_config['trial'].get('cpuNum'):
-        value_dict['cpuNum'] = experiment_config['trial']['cpuNum']
-    if experiment_config['trial'].get('memoryMB'):
-        value_dict['memoryMB'] = experiment_config['trial']['memoryMB']
-    if experiment_config['trial'].get('image'):
-        value_dict['image'] = experiment_config['trial']['image']
-    if experiment_config['trial'].get('dataDir'):
-        value_dict['dataDir'] = experiment_config['trial']['dataDir']
-    if experiment_config['trial'].get('outputDir'):
-        value_dict['outputDir'] = experiment_config['trial']['outputDir']
-    request_data['trial_config'] = value_dict
+    request_data['trial_config'] = experiment_config['trial']
     response = rest_put(cluster_metadata_url(port), json.dumps(request_data), 20)
     if check_response(response):
         return True
@@ -211,31 +197,18 @@ def set_experiment(experiment_config, mode, port, config_file_name):
     elif experiment_config['trainingServicePlatform'] == 'remote':
         request_data['clusterMetaData'].append(
             {'key': 'machine_list', 'value': experiment_config['machineList']})
-        value_dict = dict()
-        value_dict['command'] = experiment_config['trial']['command']
-        value_dict['codeDir'] = experiment_config['trial']['codeDir']
-        value_dict['gpuNum'] = experiment_config['trial']['gpuNum']
         request_data['clusterMetaData'].append(
-            {'key': 'trial_config', 'value': value_dict})
+            {'key': 'trial_config', 'value': experiment_config['trial']})
     elif experiment_config['trainingServicePlatform'] == 'pai':
         request_data['clusterMetaData'].append(
-            {'key': 'pai_config', 'value': experiment_config['paiConfig']})
-        value_dict = dict()
-        value_dict['command'] = experiment_config['trial']['command']
-        value_dict['codeDir'] = experiment_config['trial']['codeDir']
-        value_dict['gpuNum'] = experiment_config['trial']['gpuNum']
-        if experiment_config['trial'].get('cpuNum'):
-            value_dict['cpuNum'] = experiment_config['trial']['cpuNum']
-        if experiment_config['trial'].get('memoryMB'):
-            value_dict['memoryMB'] = experiment_config['trial']['memoryMB']
-        if experiment_config['trial'].get('image'):
-            value_dict['image'] = experiment_config['trial']['image']
-        if experiment_config['trial'].get('dataDir'):
-            value_dict['dataDir'] = experiment_config['trial']['dataDir']
-        if experiment_config['trial'].get('outputDir'):
-            value_dict['outputDir'] = experiment_config['trial']['outputDir']
+            {'key': 'pai_config', 'value': experiment_config['paiConfig']})        
         request_data['clusterMetaData'].append(
-            {'key': 'trial_config', 'value': value_dict})
+            {'key': 'trial_config', 'value': experiment_config['trial']})
+    elif experiment_config['trainingServicePlatform'] == 'kubeflow':
+        request_data['clusterMetaData'].append(
+            {'key': 'kubeflow_config', 'value': experiment_config['kubeflowConfig']})
+        request_data['clusterMetaData'].append(
+            {'key': 'trial_config', 'value': experiment_config['trial']})
 
     response = rest_post(experiment_url(port), json.dumps(request_data), 20)
     if check_response(response):