diff --git a/include/ck/tensor_operation/gpu/device/impl/device_grouped_gemm_multiple_d_dl.hpp b/include/ck/tensor_operation/gpu/device/impl/device_grouped_gemm_multiple_d_dl.hpp
index 060a16d1e2..959fc890b8 100644
--- a/include/ck/tensor_operation/gpu/device/impl/device_grouped_gemm_multiple_d_dl.hpp
+++ b/include/ck/tensor_operation/gpu/device/impl/device_grouped_gemm_multiple_d_dl.hpp
@@ -1,6 +1,6 @@
 #pragma once
 // SPDX-License-Identifier: MIT
-// Copyright (c) 2018-2023, Advanced Micro Devices, Inc. All rights reserved.
+// Copyright (c) 2018-2024, Advanced Micro Devices, Inc. All rights reserved.
 
 #pragma once
 
@@ -603,11 +603,11 @@ struct DeviceGroupedGemmMultipleD_Dl : public DeviceGroupedGemm<ALayout,
             }
 
             hipGetErrorString(
-                hipMemcpyWithStream(arg.p_workspace_,
-                                    arg.gemm_desc_kernel_arg_.data(),
-                                    arg.gemm_desc_kernel_arg_.size() * sizeof(GemmKernelArg),
-                                    hipMemcpyHostToDevice,
-                                    stream_config.stream_id_));
+                hipMemcpyAsync(arg.p_workspace_,
+                               arg.gemm_desc_kernel_arg_.data(),
+                               arg.gemm_desc_kernel_arg_.size() * sizeof(GemmKernelArg),
+                               hipMemcpyHostToDevice,
+                               stream_config.stream_id_));
 
             auto launch_kernel = [&](auto has_main_k_block_loop,
                                      auto has_double_tail_k_block_loop) {
diff --git a/include/ck/tensor_operation/gpu/device/impl/device_grouped_gemm_multiple_d_splitk_xdl_cshuffle_two_stage.hpp b/include/ck/tensor_operation/gpu/device/impl/device_grouped_gemm_multiple_d_splitk_xdl_cshuffle_two_stage.hpp
index 0535c80323..d692aa05ce 100644
--- a/include/ck/tensor_operation/gpu/device/impl/device_grouped_gemm_multiple_d_splitk_xdl_cshuffle_two_stage.hpp
+++ b/include/ck/tensor_operation/gpu/device/impl/device_grouped_gemm_multiple_d_splitk_xdl_cshuffle_two_stage.hpp
@@ -761,11 +761,11 @@ struct DeviceGroupedGemmMultipleDSplitKXdlCShuffleTwoStage
             float time{0.f};
 
             hip_check_error(
-                hipMemcpyWithStream(dev_gemm_kargs,
-                                    arg.gemm_kernel_args_.data(),
-                                    arg.gemm_kernel_args_.size() * sizeof(GemmTransKernelArg),
-                                    hipMemcpyHostToDevice,
-                                    stream_config.stream_id_));
+                hipMemcpyAsync(dev_gemm_kargs,
+                               arg.gemm_kernel_args_.data(),
+                               arg.gemm_kernel_args_.size() * sizeof(GemmTransKernelArg),
+                               hipMemcpyHostToDevice,
+                               stream_config.stream_id_));
 
             auto preprocess = [&]() {
                 hip_check_error(hipMemsetAsync(
diff --git a/include/ck/tensor_operation/gpu/device/impl/device_grouped_gemm_multiple_d_xdl_cshuffle_tile_loop.hpp b/include/ck/tensor_operation/gpu/device/impl/device_grouped_gemm_multiple_d_xdl_cshuffle_tile_loop.hpp
index f673713f3e..76643a6903 100644
--- a/include/ck/tensor_operation/gpu/device/impl/device_grouped_gemm_multiple_d_xdl_cshuffle_tile_loop.hpp
+++ b/include/ck/tensor_operation/gpu/device/impl/device_grouped_gemm_multiple_d_xdl_cshuffle_tile_loop.hpp
@@ -940,10 +940,10 @@ struct DeviceGroupedGemmMultipleDXdlCShuffleTileLoop
                              const void* p_host_kernel_args) const
     {
         arg.p_dev_gemm_args_ = p_dev_kernel_args;
-        hip_check_error(hipMemcpy(p_dev_kernel_args,
-                                  p_host_kernel_args,
-                                  GetDeviceKernelArgSize(&arg),
-                                  hipMemcpyHostToDevice));
+        hip_check_error(hipMemcpyAsync(p_dev_kernel_args,
+                                       p_host_kernel_args,
+                                       GetDeviceKernelArgSize(&arg),
+                                       hipMemcpyHostToDevice));
     }
 
     virtual void SetDeviceKernelArgs(BaseArgument* p_arg,
diff --git a/include/ck/tensor_operation/gpu/device/impl/device_grouped_gemm_xdl.hpp b/include/ck/tensor_operation/gpu/device/impl/device_grouped_gemm_xdl.hpp
index 86cf1da156..424347a8b2 100644
--- a/include/ck/tensor_operation/gpu/device/impl/device_grouped_gemm_xdl.hpp
+++ b/include/ck/tensor_operation/gpu/device/impl/device_grouped_gemm_xdl.hpp
@@ -557,12 +557,12 @@ struct DeviceGroupedGemm_Xdl : public DeviceGroupedGemm<ALayout,
                 }
             }
 
-            hipGetErrorString(hipMemcpyWithStream(arg.p_workspace_,
-                                                  arg.gemm_desc_kernel_arg_.data(),
-                                                  arg.gemm_desc_kernel_arg_.size() *
-                                                      sizeof(GemmBiasTransKernelArg),
-                                                  hipMemcpyHostToDevice,
-                                                  stream_config.stream_id_));
+            hipGetErrorString(
+                hipMemcpyAsync(arg.p_workspace_,
+                               arg.gemm_desc_kernel_arg_.data(),
+                               arg.gemm_desc_kernel_arg_.size() * sizeof(GemmBiasTransKernelArg),
+                               hipMemcpyHostToDevice,
+                               stream_config.stream_id_));
 
             float ave_time = 0;
 
diff --git a/include/ck/tensor_operation/gpu/device/impl/device_grouped_gemm_xdl_splitk_cshuffle.hpp b/include/ck/tensor_operation/gpu/device/impl/device_grouped_gemm_xdl_splitk_cshuffle.hpp
index 626ffbe979..f82504ffd2 100644
--- a/include/ck/tensor_operation/gpu/device/impl/device_grouped_gemm_xdl_splitk_cshuffle.hpp
+++ b/include/ck/tensor_operation/gpu/device/impl/device_grouped_gemm_xdl_splitk_cshuffle.hpp
@@ -421,11 +421,11 @@ struct DeviceGroupedGemmXdlSplitKCShuffle : public DeviceGroupedGemmSplitK<ALayo
             }
 
             hip_check_error(
-                hipMemcpyWithStream(arg.p_workspace_,
-                                    arg.gemm_kernel_args_.data(),
-                                    arg.gemm_kernel_args_.size() * sizeof(GemmTransKernelArg),
-                                    hipMemcpyHostToDevice,
-                                    stream_config.stream_id_));
+                hipMemcpyAsync(arg.p_workspace_,
+                               arg.gemm_kernel_args_.data(),
+                               arg.gemm_kernel_args_.size() * sizeof(GemmTransKernelArg),
+                               hipMemcpyHostToDevice,
+                               stream_config.stream_id_));
 
             float ave_time = 0;