diff --git a/paddle/fluid/framework/fleet/nccl_wrapper.h b/paddle/fluid/framework/fleet/nccl_wrapper.h
new file mode 100644
index 0000000000000000000000000000000000000000..9eeb4ce6251719716b8f6f00e435a0818f440460
--- /dev/null
+++ b/paddle/fluid/framework/fleet/nccl_wrapper.h
@@ -0,0 +1,143 @@
+/* Copyright (c) 2019 PaddlePaddle Authors. All Rights Reserved.
+
+Licensed under the Apache License, Version 2.0 (the "License");
+you may not use this file except in compliance with the License.
+You may obtain a copy of the License at
+
+  http://www.apache.org/licenses/LICENSE-2.0
+
+Unless required by applicable law or agreed to in writing, software
+distributed under the License is distributed on an "AS IS" BASIS,
+WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+See the License for the specific language governing permissions and
+limitations under the License. */
+
+#pragma once
+
+#include <atomic>
+#include <ctime>
+#include <map>
+#include <memory>
+#include <random>
+#include <string>
+#include <vector>
+#include "paddle/fluid/framework/program_desc.h"
+#include "paddle/fluid/framework/scope.h"
+#include "paddle/fluid/framework/variable_helper.h"
+#include "paddle/fluid/platform/macros.h"  // for DISABLE_COPY_AND_ASSIGN
+
+namespace paddle {
+namespace framework {
+
+class NCCLWrapper {
+ public:
+  virtual ~NCCLWrapper() {}
+  NCCLWrapper() {}
+
+  // Pull sparse variables from server in Sync mode
+  // Param<in>: scope, table_id, var_names, fea_keys
+  // Param<out>: fea_values
+  void PullSparseVarsSync(const Scope& scope, const uint64_t table_id,
+                          const std::vector<std::string>& var_names,
+                          std::vector<uint64_t>* fea_keys,
+                          std::vector<std::vector<float>>* fea_values,
+                          int fea_dim);
+
+  void PullDenseVarsSync(const Scope& scope, const uint64_t table_id,
+                         const std::vector<std::string>& var_names);
+
+  void PullDenseVarsAsync(
+      const Scope& scope, const uint64_t table_id,
+      const std::vector<std::string>& var_names,
+      std::vector<::std::future<int32_t>>* pull_dense_status);
+
+  void PushDenseParamSync(const Scope& scope, const uint64_t table_id,
+                          const std::vector<std::string>& var_names);
+
+  // Push dense variables to server in async mode
+  // Param<in>: scope, table_id, var_names,
+  // Param<out>: push_sparse_status
+  void PushDenseVarsAsync(
+      const Scope& scope, const uint64_t table_id,
+      const std::vector<std::string>& var_names,
+      std::vector<::std::future<int32_t>>* push_sparse_status);
+
+  void PushDenseVarsSync(Scope* scope, const uint64_t table_id,
+                         const std::vector<std::string>& var_names);
+
+  // Push sparse variables with labels to server in Async mode
+  // This is specially designed for click/show stats in server
+  // Param<in>: scope, table_id, var_grad_names,
+  //            fea_keys, fea_labels, sparse_grad_names
+  // Param<out>: push_values, push_sparse_status
+  void PushSparseVarsWithLabelAsync(
+      const Scope& scope, const uint64_t table_id,
+      const std::vector<uint64_t>& fea_keys,
+      const std::vector<float>& fea_labels,
+      const std::vector<std::string>& sparse_key_names,
+      const std::vector<std::string>& sparse_grad_names, const int emb_dim,
+      std::vector<std::vector<float>>* push_values,
+      std::vector<::std::future<int32_t>>* push_sparse_status);
+
+  // Push sparse variables to server in Async mode
+  // Param<In>: scope, table_id, fea_keys, sparse_grad_names
+  // Param<Out>: push_values, push_sparse_status
+  /*
+  void PushSparseVarsAsync(
+          const Scope& scope,
+          const uint64_t table_id,
+          const std::vector<uint64_t>& fea_keys,
+          const std::vector<std::string>& sparse_grad_names,
+          std::vector<std::vector<float>>* push_values,
+          std::vector<::std::future<int32_t>>* push_sparse_status);
+  */
+
+  void InitServer(const std::string& dist_desc, int index);
+  void InitWorker(const std::string& dist_desc,
+                  const std::vector<uint64_t>& host_sign_list, int node_num,
+                  int index);
+  void StopServer();
+  uint64_t RunServer();
+  void GatherServers(const std::vector<uint64_t>& host_sign_list, int node_num);
+  // gather client ip
+  void GatherClients(const std::vector<uint64_t>& host_sign_list);
+  // get client info
+  std::vector<uint64_t> GetClientsInfo();
+  // create client to client connection
+  void CreateClient2ClientConnection();
+
+  // register client to client communication
+  typedef std::function<int32_t(int, int, const std::string&)> MsgHandlerFunc;
+  int RegisterClientToClientMsgHandler(int msg_type, MsgHandlerFunc handler);
+  // send client to client message
+  std::future<int32_t> SendClientToClientMsg(int msg_type, int to_client_id,
+                                             const std::string& msg);
+
+  template <typename T>
+  void Serialize(const std::vector<T*>& t, std::string* str);
+  template <typename T>
+  void Deserialize(std::vector<T>* t, const std::string& str);
+  static std::shared_ptr<FleetWrapper> GetInstance() {
+    if (NULL == s_instance_) {
+      s_instance_.reset(new paddle::framework::FleetWrapper());
+    }
+    return s_instance_;
+  }
+
+#ifdef PADDLE_WITH_PSLIB
+  static std::shared_ptr<paddle::distributed::PSlib> pslib_ptr_;
+#endif
+
+ private:
+  static std::shared_ptr<FleetWrapper> s_instance_;
+#ifdef PADDLE_WITH_PSLIB
+  std::map<uint64_t, std::vector<paddle::ps::Region>> _regions;
+#endif
+
+ protected:
+  static bool is_initialized_;
+  DISABLE_COPY_AND_ASSIGN(FleetWrapper);
+};
+
+}  // end namespace framework
+}  // end namespace paddle