diff --git a/paddle/fluid/operators/collective/alltoall_op.cc b/paddle/fluid/operators/collective/alltoall_op.cc
new file mode 100644
index 0000000000000000000000000000000000000000..75cf5fb47f7e529f1c255f5932cc02ec899e00bb
--- /dev/null
+++ b/paddle/fluid/operators/collective/alltoall_op.cc
@@ -0,0 +1,75 @@
+/* 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. */
+
+#include "paddle/fluid/operators/collective/alltoall_op.h"
+
+namespace paddle {
+namespace operators {
+
+class AllToAllOp : public framework::OperatorWithKernel {
+ public:
+  using framework::OperatorWithKernel::OperatorWithKernel;
+
+  void InferShape(framework::InferShapeContext* ctx) const override {
+    OP_INOUT_CHECK(ctx->HasInput("X"), "Input", "X", "CAllToAll");
+    OP_INOUT_CHECK(ctx->HasOutput("Out"), "Output", "Out", "CAllToAll");
+    int ring_id = ctx->Attrs().Get<int>("ring_id");
+    PADDLE_ENFORCE_GE(
+        ring_id, 0,
+        platform::errors::InvalidArgument(
+            "The ring_id (%d) for alltoall_op must be non-negative.", ring_id));
+    framework::DDim dim = ctx->GetInputDim("X");
+    if (dim[0] < 0) dim[0] = -1;
+    ctx->SetOutputDim("Out", dim);
+  }
+
+ protected:
+  framework::OpKernelType GetExpectedKernelType(
+      const framework::ExecutionContext& ctx) const override {
+    return framework::OpKernelType(
+        OperatorWithKernel::IndicateVarDataType(ctx, "X"), ctx.GetPlace());
+  }
+};
+
+class AllToAllOpMaker : public framework::OpProtoAndCheckerMaker {
+ public:
+  void Make() {
+    AddInput("X", "(Tensor) tensor send.");
+    AddOutput("Out", "(Tensor) the result of alltoall.");
+    AddAttr<int>("ring_id", "(int default 0) nccl communication ring id.")
+        .SetDefault(0);
+    AddAttr<bool>(
+        "use_calc_stream",
+        "(bool default false) eject CUDA operations to calculation stream.")
+        .SetDefault(false);
+    AddComment(R"DOC(
+AllToAll Operator
+Gather tensors from all participators to all participators.
+)DOC");
+  }
+};
+
+}  // namespace operators
+}  // namespace paddle
+
+namespace ops = paddle::operators;
+namespace plat = paddle::platform;
+
+REGISTER_OP_WITHOUT_GRADIENT(alltoall, ops::AllToAllOp, ops::AllToAllOpMaker);
+
+REGISTER_OP_CPU_KERNEL(alltoall, ops::AllToAllOpCPUKernel<float>,
+                       ops::AllToAllOpCPUKernel<double>,
+                       ops::AllToAllOpCPUKernel<int>,
+                       ops::AllToAllOpCPUKernel<int64_t>,
+                       ops::AllToAllOpCPUKernel<plat::float16>);
diff --git a/paddle/fluid/operators/collective/alltoall_op.cu.cc b/paddle/fluid/operators/collective/alltoall_op.cu.cc
new file mode 100644
index 0000000000000000000000000000000000000000..e3171968d94ed3ed164c39fe8961ce9ef57c2626
--- /dev/null
+++ b/paddle/fluid/operators/collective/alltoall_op.cu.cc
@@ -0,0 +1,86 @@
+/* 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. */
+
+#include "paddle/fluid/operators/collective/alltoall_op.h"
+
+#if defined(PADDLE_WITH_NCCL)
+#include "paddle/fluid/platform/collective_helper.h"
+#include "paddle/fluid/platform/nccl_helper.h"
+#endif
+
+namespace paddle {
+namespace operators {
+
+template <typename T>
+class AllToAllOpCUDAKernel : public framework::OpKernel<T> {
+ public:
+  void Compute(const framework::ExecutionContext& ctx) const override {
+#if defined(PADDLE_WITH_NCCL)
+    auto x = ctx.Input<framework::LoDTensor>("X");
+    auto out = ctx.Output<framework::LoDTensor>("Out");
+    int send_numel = x->numel();
+    ncclDataType_t dtype = platform::ToNCCLDataType(x->type());
+
+    int ring_id = ctx.Attr<int>("ring_id");
+    auto place = ctx.GetPlace();
+    auto comm = platform::NCCLCommContext::Instance().Get(ring_id, place);
+    int nranks = comm->nranks();
+
+    cudaStream_t stream = nullptr;
+    if (ctx.Attr<bool>("use_calc_stream")) {
+      auto dev_ctx = platform::DeviceContextPool::Instance().Get(place);
+      stream = static_cast<platform::CUDADeviceContext*>(dev_ctx)->stream();
+    } else {
+      stream = comm->stream();
+    }
+
+    framework::DDim x_dims = x->dims();
+    framework::DDim out_dims(x_dims);
+    PADDLE_ENFORCE_EQ(
+        x_dims[0] % nranks, 0,
+        platform::errors::InvalidArgument(
+            "The first dimension size (%d) of the input tensor must be "
+            "divisible by the number of ranks (%d).",
+            x_dims[0], nranks));
+    auto send_buf = x->data<T>();
+    auto recv_buf = out->mutable_data<T>(out_dims, place);
+    size_t offset = 0;
+    send_numel /= nranks;
+    PADDLE_ENFORCE_CUDA_SUCCESS(platform::dynload::ncclGroupStart());
+    for (auto i = 0; i < nranks; ++i) {
+      PADDLE_ENFORCE_CUDA_SUCCESS(platform::dynload::ncclSend(
+          send_buf + offset, send_numel, dtype, i, comm->comm(), stream));
+      PADDLE_ENFORCE_CUDA_SUCCESS(platform::dynload::ncclRecv(
+          recv_buf + offset, send_numel, dtype, i, comm->comm(), stream));
+      offset += send_numel;
+    }
+    PADDLE_ENFORCE_CUDA_SUCCESS(platform::dynload::ncclGroupEnd());
+#else
+    PADDLE_THROW(
+        platform::errors::Unavailable("PaddlePaddle should compile with GPU."));
+#endif
+  }
+};
+
+}  // namespace operators
+}  // namespace paddle
+
+namespace ops = paddle::operators;
+namespace plat = paddle::platform;
+
+REGISTER_OP_CUDA_KERNEL(alltoall, ops::AllToAllOpCUDAKernel<float>,
+                        ops::AllToAllOpCUDAKernel<double>,
+                        ops::AllToAllOpCUDAKernel<int>,
+                        ops::AllToAllOpCUDAKernel<int64_t>,
+                        ops::AllToAllOpCUDAKernel<plat::float16>);
diff --git a/paddle/fluid/operators/collective/alltoall_op.h b/paddle/fluid/operators/collective/alltoall_op.h
new file mode 100644
index 0000000000000000000000000000000000000000..f0ee470158d4bd0418c72995c852d53546551cdc
--- /dev/null
+++ b/paddle/fluid/operators/collective/alltoall_op.h
@@ -0,0 +1,43 @@
+/* Copyright (c) 2018 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 <algorithm>
+#include <utility>
+#include <vector>
+
+#include "paddle/fluid/framework/data_type.h"
+#include "paddle/fluid/framework/lod_tensor.h"
+#include "paddle/fluid/framework/op_registry.h"
+
+#if defined(PADDLE_WITH_GLOO)
+#include <gloo/gather.h>
+#include "paddle/fluid/framework/fleet/gloo_wrapper.h"
+#endif
+
+namespace paddle {
+namespace operators {
+
+template <typename T>
+class AllToAllOpCPUKernel : public framework::OpKernel<T> {
+ public:
+  void Compute(const framework::ExecutionContext& ctx) const override {
+    PADDLE_THROW(platform::errors::Unavailable(
+        "Do not support alltoall for cpu kernel now."));
+  }
+};
+
+}  // namespace operators
+}  // namespace paddle
diff --git a/paddle/fluid/operators/collective/recv_op_v2.cc b/paddle/fluid/operators/collective/recv_op_v2.cc
new file mode 100644
index 0000000000000000000000000000000000000000..8755b7e3af33596534f112a438e70f3baa2dd4e0
--- /dev/null
+++ b/paddle/fluid/operators/collective/recv_op_v2.cc
@@ -0,0 +1,93 @@
+/* Copyright (c) 2020 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. */
+
+#include "paddle/fluid/operators/collective/recv_op_v2.h"
+#include <string>
+
+namespace paddle {
+namespace operators {
+
+class RecvOpV2 : public framework::OperatorWithKernel {
+ public:
+  using framework::OperatorWithKernel::OperatorWithKernel;
+
+  void InferShape(framework::InferShapeContext* ctx) const override {
+    OP_INOUT_CHECK(ctx->HasOutput("Out"), "Output", "Out", "CRecv");
+    int peer = ctx->Attrs().Get<int>("peer");
+    int ring_id = ctx->Attrs().Get<int>("ring_id");
+    PADDLE_ENFORCE_GE(
+        peer, 0,
+        platform::errors::InvalidArgument(
+            "The peer (%d) for send_op_v2 must be non-negative.", peer));
+    PADDLE_ENFORCE_GE(
+        ring_id, 0,
+        platform::errors::InvalidArgument(
+            "The ring_id (%d) for send_op_v2 must be non-negative.", ring_id));
+    auto out_shape = ctx->Attrs().Get<std::vector<int>>("out_shape");
+    PADDLE_ENFORCE_GE(out_shape.size(), 1,
+                      platform::errors::InvalidArgument(
+                          "The size of the output shape must be greater than 0 "
+                          "but the value given is %d.",
+                          out_shape.size()));
+    ctx->SetOutputDim("Out", framework::make_ddim(out_shape));
+  }
+
+ protected:
+  framework::OpKernelType GetExpectedKernelType(
+      const framework::ExecutionContext& ctx) const override {
+    VLOG(0) << "wow1";
+    int dtype = ctx.Attr<int>("dtype");
+    framework::proto::VarType::Type type =
+        framework::proto::VarType::Type(data_type);
+    return framework::OpKernelType(type, ctx.GetPlace());
+  }
+};
+
+class RecvOpV2Maker : public framework::OpProtoAndCheckerMaker {
+ public:
+  void Make() {
+    AddOutput("Out", "(Tensor) tensor to receive.");
+    AddAttr<int>("ring_id", "(int default 0) nccl communication ring id.")
+        .SetDefault(0);
+    AddAttr<int>("peer", "(int default 0) rank id for sender.").SetDefault(0);
+    AddAttr<int>("dtype",
+                 "(std::string default 5(float32)) data type of tensor.")
+        .SetDefault(5);
+    AddAttr<std::vector<int>>("out_shape", "shape of the output tensor.")
+        .SetDefault(std::vector<int>());
+    AddAttr<bool>(
+        "use_calc_stream",
+        "(bool default false) eject CUDA operations to calculation stream.")
+        .SetDefault(false);
+    AddComment(R"DOC(
+Recv Operator
+
+Reference: https://docs.nvidia.com/deeplearning/nccl/user-guide/docs/usage/p2p.html#sendrecv
+)DOC");
+  }
+};
+
+}  // namespace operators
+}  // namespace paddle
+
+namespace ops = paddle::operators;
+namespace plat = paddle::platform;
+
+REGISTER_OP_WITHOUT_GRADIENT(recv_v2, ops::RecvOpV2, ops::RecvOpV2Maker);
+
+REGISTER_OP_CPU_KERNEL(recv_v2, ops::RecvOpV2CPUKernel<float>,
+                       ops::RecvOpV2CPUKernel<double>,
+                       ops::RecvOpV2CPUKernel<int>,
+                       ops::RecvOpV2CPUKernel<int64_t>,
+                       ops::RecvOpV2CPUKernel<plat::float16>);
diff --git a/paddle/fluid/operators/collective/recv_op_v2.cu.cc b/paddle/fluid/operators/collective/recv_op_v2.cu.cc
new file mode 100644
index 0000000000000000000000000000000000000000..0e830442b1c9df4ea5271adfdd6c32877985a9c3
--- /dev/null
+++ b/paddle/fluid/operators/collective/recv_op_v2.cu.cc
@@ -0,0 +1,96 @@
+/* Copyright (c) 2020 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. */
+
+#include "paddle/fluid/operators/collective/send_op_v2.h"
+
+#if defined(PADDLE_WITH_NCCL)
+#include "paddle/fluid/platform/collective_helper.h"
+#include "paddle/fluid/platform/nccl_helper.h"
+#endif
+
+namespace paddle {
+namespace operators {
+
+template <typename T>
+class RecvOpV2CUDAKernel : public framework::OpKernel<T> {
+ public:
+  void Compute(const framework::ExecutionContext &ctx) const override {
+#if defined(PADDLE_WITH_NCCL)
+    auto out = ctx.Output<framework::LoDTensor>("Out");
+    int data_type = ctx.Attr<int>("dtype");
+    framework::proto::VarType::Type type =
+        framework::proto::VarType::Type(data_type);
+    ncclDataType_t dtype = platform::ToNCCLDataType(type);
+
+    auto out_dims = out->dims();
+    // Recv the number of element first
+    int numel = 0;
+    int *numel_ptr = nullptr;
+    PADDLE_ENFORCE_CUDA_SUCCESS(cudaMalloc(&numel_ptr, sizeof(int)));
+
+    int rid = ctx.Attr<int>("ring_id");
+    auto place = ctx.GetPlace();
+    auto comm = platform::NCCLCommContext::Instance().Get(rid, place);
+    int peer = ctx.Attr<int>("peer");
+    PADDLE_ENFORCE_LT(
+        peer, comm->nranks(),
+        platform::errors::InvalidArgument("The value of peer (%d) you set must "
+                                          "be less than comm->nranks (%d).",
+                                          peer, comm->nranks()));
+
+    cudaStream_t stream = nullptr;
+    if (ctx.Attr<bool>("use_calc_stream")) {
+      auto dev_ctx = platform::DeviceContextPool::Instance().Get(place);
+      stream = static_cast<platform::CUDADeviceContext *>(dev_ctx)->stream();
+    } else {
+      stream = comm->stream();
+    }
+
+    PADDLE_ENFORCE_CUDA_SUCCESS(platform::dynload::ncclGroupStart());
+    PADDLE_ENFORCE_CUDA_SUCCESS(
+        platform::dynload::ncclRecv(static_cast<void *>(numel_ptr), 1, ncclInt,
+                                    peer, comm->comm(), stream));
+    PADDLE_ENFORCE_CUDA_SUCCESS(
+        cudaMemcpy(&numel, numel_ptr, sizeof(int), cudaMemcpyDeviceToHost));
+
+    int rest_numel = 1;
+    for (size_t i = 1; i < out_dims.size(); ++i) {
+      rest_numel = rest_numel * out_dims[i];
+    }
+    out_dims[0] = numel / rest_numel;
+    out->mutable_data<T>(out_dims, place);
+
+    PADDLE_ENFORCE_CUDA_SUCCESS(platform::dynload::ncclRecv(
+        out->data<T>(), numel, dtype, peer, comm->comm(), stream));
+    PADDLE_ENFORCE_CUDA_SUCCESS(platform::dynload::ncclGroupEnd());
+    VLOG(3) << "rank " << comm->rank() << " recv "
+            << framework::product(out->dims()) << " from " << peer;
+#else
+    PADDLE_THROW(
+        platform::errors::Unavailable("PaddlePaddle should compile with GPU."));
+#endif
+  }
+};
+
+}  // namespace operators
+}  // namespace paddle
+
+namespace ops = paddle::operators;
+namespace plat = paddle::platform;
+
+REGISTER_OP_CUDA_KERNEL(recv_v2, ops::RecvOpV2CUDAKernel<float>,
+                        ops::RecvOpV2CUDAKernel<double>,
+                        ops::RecvOpV2CUDAKernel<int>,
+                        ops::RecvOpV2CUDAKernel<int64_t>,
+                        ops::RecvOpV2CUDAKernel<plat::float16>);
diff --git a/paddle/fluid/operators/collective/recv_op_v2.h b/paddle/fluid/operators/collective/recv_op_v2.h
new file mode 100644
index 0000000000000000000000000000000000000000..1f46d573c53c00573a43ebd44ad9862d14a324e4
--- /dev/null
+++ b/paddle/fluid/operators/collective/recv_op_v2.h
@@ -0,0 +1,38 @@
+/* Copyright (c) 2020 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 <algorithm>
+#include <utility>
+#include <vector>
+
+#include "paddle/fluid/framework/data_type.h"
+#include "paddle/fluid/framework/lod_tensor.h"
+#include "paddle/fluid/framework/op_registry.h"
+
+namespace paddle {
+namespace operators {
+
+template <typename T>
+class RecvOpV2CPUKernel : public framework::OpKernel<T> {
+ public:
+  void Compute(const framework::ExecutionContext& ctx) const override {
+    PADDLE_THROW(platform::errors::Unavailable(
+        "Do not support recv for cpu kernel now."));
+  }
+};
+
+}  // namespace operators
+}  // namespace paddle
diff --git a/paddle/fluid/operators/collective/send_op_v2.cc b/paddle/fluid/operators/collective/send_op_v2.cc
new file mode 100644
index 0000000000000000000000000000000000000000..d0e00d748576ea73caa2691b431a304677f720c2
--- /dev/null
+++ b/paddle/fluid/operators/collective/send_op_v2.cc
@@ -0,0 +1,77 @@
+/* Copyright (c) 2020 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. */
+
+#include "paddle/fluid/operators/collective/send_op_v2.h"
+
+namespace paddle {
+namespace operators {
+
+class SendOpV2 : public framework::OperatorWithKernel {
+ public:
+  using framework::OperatorWithKernel::OperatorWithKernel;
+
+  void InferShape(framework::InferShapeContext* ctx) const override {
+    OP_INOUT_CHECK(ctx->HasInput("X"), "Input", "X", "CSend");
+    int peer = ctx->Attrs().Get<int>("peer");
+    int ring_id = ctx->Attrs().Get<int>("ring_id");
+    PADDLE_ENFORCE_GE(
+        peer, 0,
+        platform::errors::InvalidArgument(
+            "The peer (%d) for send_op_v2 must be non-negative.", peer));
+    PADDLE_ENFORCE_GE(
+        ring_id, 0,
+        platform::errors::InvalidArgument(
+            "The ring_id (%d) for send_op_v2 must be non-negative.", ring_id));
+  }
+
+ protected:
+  framework::OpKernelType GetExpectedKernelType(
+      const framework::ExecutionContext& ctx) const override {
+    return framework::OpKernelType(
+        OperatorWithKernel::IndicateVarDataType(ctx, "X"), ctx.GetPlace());
+  }
+};
+
+class SendOpV2Maker : public framework::OpProtoAndCheckerMaker {
+ public:
+  void Make() {
+    AddInput("X", "(Tensor) tensor to be sent.");
+    AddAttr<int>("ring_id", "(int default 0) nccl communication ring id.")
+        .SetDefault(0);
+    AddAttr<int>("peer", "(int default 0) rank id for receiver.").SetDefault(0);
+    AddAttr<bool>(
+        "use_calc_stream",
+        "(bool default false) eject CUDA operations to calculation stream.")
+        .SetDefault(false);
+    AddComment(R"DOC(
+Send Operator
+
+Reference: https://docs.nvidia.com/deeplearning/nccl/user-guide/docs/usage/p2p.html#sendrecv
+)DOC");
+  }
+};
+
+}  // namespace operators
+}  // namespace paddle
+
+namespace ops = paddle::operators;
+namespace plat = paddle::platform;
+
+REGISTER_OP_WITHOUT_GRADIENT(send_v2, ops::SendOpV2, ops::SendOpV2Maker);
+
+REGISTER_OP_CPU_KERNEL(send_v2, ops::SendOpV2CPUKernel<float>,
+                       ops::SendOpV2CPUKernel<double>,
+                       ops::SendOpV2CPUKernel<int>,
+                       ops::SendOpV2CPUKernel<int64_t>,
+                       ops::SendOpV2CPUKernel<plat::float16>);
diff --git a/paddle/fluid/operators/collective/send_op_v2.cu.cc b/paddle/fluid/operators/collective/send_op_v2.cu.cc
new file mode 100644
index 0000000000000000000000000000000000000000..fd8259b00d72d59b30c96f3730d306d0b9acedec
--- /dev/null
+++ b/paddle/fluid/operators/collective/send_op_v2.cu.cc
@@ -0,0 +1,85 @@
+/* Copyright (c) 2020 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. */
+
+#include "paddle/fluid/operators/collective/send_op_v2.h"
+
+#if defined(PADDLE_WITH_NCCL)
+#include "paddle/fluid/platform/collective_helper.h"
+#include "paddle/fluid/platform/nccl_helper.h"
+#endif
+
+namespace paddle {
+namespace operators {
+
+template <typename T>
+class SendOpV2CUDAKernel : public framework::OpKernel<T> {
+ public:
+  void Compute(const framework::ExecutionContext& ctx) const override {
+#if defined(PADDLE_WITH_NCCL)
+    auto x = ctx.Input<framework::LoDTensor>("X");
+    int numel = x->numel();
+    ncclDataType_t dtype = platform::ToNCCLDataType(x->type());
+
+    int rid = ctx.Attr<int>("ring_id");
+    auto place = ctx.GetPlace();
+    auto comm = platform::NCCLCommContext::Instance().Get(rid, place);
+
+    cudaStream_t stream = nullptr;
+    if (ctx.Attr<bool>("use_calc_stream")) {
+      auto dev_ctx = platform::DeviceContextPool::Instance().Get(place);
+      stream = static_cast<platform::CUDADeviceContext*>(dev_ctx)->stream();
+    } else {
+      stream = comm->stream();
+    }
+
+    int peer = ctx.Attr<int>("peer");
+    PADDLE_ENFORCE_LT(
+        peer, comm->nranks(),
+        platform::errors::InvalidArgument("The value of peer (%d) you set must "
+                                          "be less than comm->nranks (%d).",
+                                          peer, comm->nranks()));
+
+    // Send number of elements to the receiver, as the receiver may have
+    // no information of the Tensor size.
+    int* numel_ptr = nullptr;
+    PADDLE_ENFORCE_CUDA_SUCCESS(cudaMalloc(&numel_ptr, sizeof(int)));
+    PADDLE_ENFORCE_CUDA_SUCCESS(
+        cudaMemcpy(numel_ptr, &numel, sizeof(int), cudaMemcpyHostToDevice));
+
+    PADDLE_ENFORCE_CUDA_SUCCESS(platform::dynload::ncclGroupStart());
+    PADDLE_ENFORCE_CUDA_SUCCESS(platform::dynload::ncclSend(
+        numel_ptr, 1, ncclInt, peer, comm->comm(), stream));
+    PADDLE_ENFORCE_CUDA_SUCCESS(platform::dynload::ncclSend(
+        x->data<T>(), numel, dtype, peer, comm->comm(), stream));
+    PADDLE_ENFORCE_CUDA_SUCCESS(platform::dynload::ncclGroupEnd());
+    VLOG(3) << "rank " << comm->rank() << " send "
+            << framework::product(x->dims()) << " to " << peer;
+#else
+    PADDLE_THROW(
+        platform::errors::Unavailable("PaddlePaddle should compile with GPU."));
+#endif
+  }
+};
+
+}  // namespace operators
+}  // namespace paddle
+
+namespace ops = paddle::operators;
+namespace plat = paddle::platform;
+
+REGISTER_OP_CUDA_KERNEL(send_v2, ops::SendOpV2CUDAKernel<float>,
+                        ops::SendOpV2CUDAKernel<double>,
+                        ops::SendOpV2CUDAKernel<int>,
+                        ops::SendOpV2CUDAKernel<int64_t>,
+                        ops::SendOpV2CUDAKernel<plat::float16>);
diff --git a/paddle/fluid/operators/collective/send_op_v2.h b/paddle/fluid/operators/collective/send_op_v2.h
new file mode 100644
index 0000000000000000000000000000000000000000..6215fb1f3b643b30b42fd9c386a46ca31bc6a54d
--- /dev/null
+++ b/paddle/fluid/operators/collective/send_op_v2.h
@@ -0,0 +1,38 @@
+/* Copyright (c) 2020 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 <algorithm>
+#include <utility>
+#include <vector>
+
+#include "paddle/fluid/framework/data_type.h"
+#include "paddle/fluid/framework/lod_tensor.h"
+#include "paddle/fluid/framework/op_registry.h"
+
+namespace paddle {
+namespace operators {
+
+template <typename T>
+class SendOpV2CPUKernel : public framework::OpKernel<T> {
+ public:
+  void Compute(const framework::ExecutionContext& ctx) const override {
+    PADDLE_THROW(platform::errors::Unavailable(
+        "Do not support send for cpu kernel now."));
+  }
+};
+
+}  // namespace operators
+}  // namespace paddle