diff --git a/tools/ci_build/github/azure-pipelines/linux-gpu-tensorrt-packaging-pipeline.yml b/tools/ci_build/github/azure-pipelines/linux-gpu-tensorrt-packaging-pipeline.yml
new file mode 100644
index 0000000000..96970b8813
--- /dev/null
+++ b/tools/ci_build/github/azure-pipelines/linux-gpu-tensorrt-packaging-pipeline.yml
@@ -0,0 +1,43 @@
+variables:
+  PackageName: 'Microsoft.ML.OnnxRuntime.Gpu.Tensorrt'
+
+jobs:
+
+- job: Linux_C_API_Packaging_GPU_TensorRT_x64
+  workspace:
+    clean: all
+  timeoutInMinutes:  120
+  pool: 'Onnxruntime-Linux-GPU'
+  variables:
+    CUDA_VERSION: '11.1'
+  steps:
+    - template: templates/set-version-number-variables-step.yml
+    - template: templates/get-docker-image-steps.yml
+      parameters:
+        Dockerfile: tools/ci_build/github/linux/docker/Dockerfile.manylinux2014_cuda11_1_tensorrt7_2
+        Context: tools/ci_build/github/linux/docker
+        DockerBuildArgs: "--build-arg BUILD_UID=$( id -u )"
+        Repository: onnxruntimecuda111trt72build
+    - task: CmdLine@2
+      inputs:
+        script: |
+          mkdir -p $HOME/.onnx
+          docker run --gpus all -e CC=/opt/rh/devtoolset-8/root/usr/bin/cc -e CXX=/opt/rh/devtoolset-8/root/usr/bin/c++ -e CFLAGS="-Wp,-D_FORTIFY_SOURCE=2 -Wp,-D_GLIBCXX_ASSERTIONS -fstack-protector-strong -fstack-clash-protection -fcf-protection -O3 -Wl,--strip-all" -e CXXFLAGS="-Wp,-D_FORTIFY_SOURCE=2 -Wp,-D_GLIBCXX_ASSERTIONS -fstack-protector-strong -fstack-clash-protection -fcf-protection -O3 -Wl,--strip-all" -e NVIDIA_VISIBLE_DEVICES=all --rm --volume /data/onnx:/data/onnx:ro --volume $(Build.SourcesDirectory):/onnxruntime_src --volume $(Build.BinariesDirectory):/build \
+          --volume /data/models:/build/models:ro --volume $HOME/.onnx:/home/onnxruntimedev/.onnx -e NIGHTLY_BUILD onnxruntimecuda111trt72build \
+          /opt/python/cp37-cp37m/bin/python3 /onnxruntime_src/tools/ci_build/build.py --build_dir /build --config Release \
+          --skip_submodule_sync --parallel --build_shared_lib --use_tensorrt --cuda_version=$(CUDA_VERSION) --cuda_home=/usr/local/cuda-$(CUDA_VERSION) --cudnn_home=/usr --tensorrt_home=/usr --cmake_extra_defines CMAKE_CUDA_HOST_COMPILER=/opt/rh/devtoolset-8/root/usr/bin/cc
+        workingDirectory: $(Build.SourcesDirectory)
+
+    - template: templates/c-api-artifacts-package-and-publish-steps-posix.yml
+      parameters:
+          buildConfig: 'Release'
+          artifactName: 'onnxruntime-linux-x64-gpu-tensorrt-$(OnnxRuntimeVersion)'
+          artifactNameNoVersionString:  'onnxruntime-linux-x64-gpu-tensorrt'
+          libraryName: 'libonnxruntime.so.$(OnnxRuntimeVersion)'
+          commitId: $(OnnxRuntimeGitCommitHash)
+          artifactCopyScript: 'tools/ci_build/github/linux/copy_strip_binary_trt.sh'
+
+    - template: templates/component-governance-component-detection-steps.yml
+      parameters :
+        condition : 'succeeded'
+    - template: templates/clean-agent-build-directory-step.yml
diff --git a/tools/ci_build/github/azure-pipelines/templates/c-api-artifacts-package-and-publish-steps-posix.yml b/tools/ci_build/github/azure-pipelines/templates/c-api-artifacts-package-and-publish-steps-posix.yml
index 3ca950d20a..88516bbc9d 100644
--- a/tools/ci_build/github/azure-pipelines/templates/c-api-artifacts-package-and-publish-steps-posix.yml
+++ b/tools/ci_build/github/azure-pipelines/templates/c-api-artifacts-package-and-publish-steps-posix.yml
@@ -20,12 +20,16 @@ parameters:
 - name: commitId  
   type: string
   default: ''
+
+- name: artifactCopyScript
+  type: string
+  default: 'tools/ci_build/github/linux/copy_strip_binary.sh'
   
 steps:
     - task: ShellScript@2
       displayName: 'Copy build artifacts for zipping'
       inputs:
-        scriptPath: 'tools/ci_build/github/linux/copy_strip_binary.sh'
+        scriptPath: '${{parameters.artifactCopyScript}}'
         args: '-r $(Build.BinariesDirectory) -a ${{parameters.artifactName}} -l ${{parameters.libraryName}} -c ${{parameters.buildConfig}} -s $(Build.SourcesDirectory) -t ${{parameters.commitId}}'
         workingDirectory: '$(Build.BinariesDirectory)/${{parameters.buildConfig}}'
 
diff --git a/tools/ci_build/github/linux/copy_strip_binary_trt.sh b/tools/ci_build/github/linux/copy_strip_binary_trt.sh
new file mode 100644
index 0000000000..0c187bd9db
--- /dev/null
+++ b/tools/ci_build/github/linux/copy_strip_binary_trt.sh
@@ -0,0 +1,57 @@
+#!/bin/bash
+set -e -o -x
+
+while getopts r:a:l:c:s:t: parameter_Option
+do case "${parameter_Option}"
+in
+r) BINARY_DIR=${OPTARG};;
+a) ARTIFACT_NAME=${OPTARG};;
+l) LIB_NAME=${OPTARG};;
+c) BUILD_CONFIG=${OPTARG};;
+s) SOURCE_DIR=${OPTARG};;
+t) COMMIT_ID=${OPTARG};;
+esac
+done
+
+EXIT_CODE=1
+
+uname -a
+mkdir $BINARY_DIR/$ARTIFACT_NAME
+mkdir $BINARY_DIR/$ARTIFACT_NAME/lib
+mkdir $BINARY_DIR/$ARTIFACT_NAME/include
+echo "Directories created"
+cp $BINARY_DIR/$BUILD_CONFIG/$LIB_NAME $BINARY_DIR/$ARTIFACT_NAME/lib
+cp $BINARY_DIR/$BUILD_CONFIG/libonnxruntime_providers_shared.so $BINARY_DIR/$ARTIFACT_NAME/lib
+cp $BINARY_DIR/$BUILD_CONFIG/libonnxruntime_providers_tensorrt.so $BINARY_DIR/$ARTIFACT_NAME/lib
+echo "Copy debug symbols in a separate file and strip the original binary."
+if [[ $LIB_NAME == *.dylib ]]
+then
+    dsymutil $BINARY_DIR/$ARTIFACT_NAME/lib/$LIB_NAME -o $BINARY_DIR/$ARTIFACT_NAME/lib/$LIB_NAME.dSYM
+    strip -S $BINARY_DIR/$ARTIFACT_NAME/lib/$LIB_NAME
+    ln -s $LIB_NAME $BINARY_DIR/$ARTIFACT_NAME/lib/libonnxruntime.dylib
+elif [[ $LIB_NAME == *.so.* ]]
+then
+    ln -s $LIB_NAME $BINARY_DIR/$ARTIFACT_NAME/lib/libonnxruntime.so
+fi
+cp $SOURCE_DIR/include/onnxruntime/core/session/onnxruntime_c_api.h  $BINARY_DIR/$ARTIFACT_NAME/include
+cp $SOURCE_DIR/include/onnxruntime/core/session/onnxruntime_cxx_api.h  $BINARY_DIR/$ARTIFACT_NAME/include
+cp $SOURCE_DIR/include/onnxruntime/core/session/onnxruntime_cxx_inline.h  $BINARY_DIR/$ARTIFACT_NAME/include
+cp $SOURCE_DIR/include/onnxruntime/core/providers/cpu/cpu_provider_factory.h  $BINARY_DIR/$ARTIFACT_NAME/include
+cp $SOURCE_DIR/include/onnxruntime/core/providers/cuda/cuda_provider_factory.h  $BINARY_DIR/$ARTIFACT_NAME/include
+cp $SOURCE_DIR/include/onnxruntime/core/providers/tensorrt/tensorrt_provider_factory.h  $BINARY_DIR/$ARTIFACT_NAME/include
+cp $SOURCE_DIR/include/onnxruntime/core/session/onnxruntime_session_options_config_keys.h  $BINARY_DIR/$ARTIFACT_NAME/include
+
+# copy the README, licence and TPN
+cp $SOURCE_DIR/README.md $BINARY_DIR/$ARTIFACT_NAME/README.md
+cp $SOURCE_DIR/docs/Privacy.md $BINARY_DIR/$ARTIFACT_NAME/Privacy.md
+cp $SOURCE_DIR/LICENSE $BINARY_DIR/$ARTIFACT_NAME/LICENSE
+cp $SOURCE_DIR/ThirdPartyNotices.txt $BINARY_DIR/$ARTIFACT_NAME/ThirdPartyNotices.txt
+cp $SOURCE_DIR/VERSION_NUMBER $BINARY_DIR/$ARTIFACT_NAME/VERSION_NUMBER
+
+
+echo $COMMIT_ID > $BINARY_DIR/$ARTIFACT_NAME/GIT_COMMIT_ID
+
+EXIT_CODE=$?
+
+set -e
+exit $EXIT_CODE
diff --git a/tools/ci_build/github/linux/docker/Dockerfile.manylinux2014_cuda11_1_tensorrt7_2 b/tools/ci_build/github/linux/docker/Dockerfile.manylinux2014_cuda11_1_tensorrt7_2
new file mode 100644
index 0000000000..278128b78d
--- /dev/null
+++ b/tools/ci_build/github/linux/docker/Dockerfile.manylinux2014_cuda11_1_tensorrt7_2
@@ -0,0 +1,42 @@
+FROM nvcr.io/nvidia/cuda:11.1-cudnn8-devel-centos7
+
+#We need CUDA, TensorRT and manylinux. But the CUDA Toolkit End User License Agreement says NVIDIA CUDA Driver Libraries(libcuda.so, libnvidia-ptxjitcompiler.so) are only distributable in applications that meet this criteria:
+#1. The application was developed starting from a NVIDIA CUDA container obtained from Docker Hub or the NVIDIA GPU Cloud, and
+#2. The resulting application is packaged as a Docker container and distributed to users on Docker Hub or the NVIDIA GPU Cloud only.
+#So we use CUDA as the base image then add manylinux and TensorRT on top of it.
+
+#Build manylinux2014 docker image begin
+ENV AUDITWHEEL_ARCH x86_64
+ENV AUDITWHEEL_PLAT manylinux2014_$AUDITWHEEL_ARCH
+ENV LC_ALL en_US.UTF-8
+ENV LANG en_US.UTF-8
+ENV LANGUAGE en_US.UTF-8
+ENV DEVTOOLSET_ROOTPATH /opt/rh/devtoolset-9/root
+ENV PATH $DEVTOOLSET_ROOTPATH/usr/bin:$PATH
+ENV LD_LIBRARY_PATH $DEVTOOLSET_ROOTPATH/usr/lib64:$DEVTOOLSET_ROOTPATH/usr/lib:$DEVTOOLSET_ROOTPATH/usr/lib64/dyninst:$DEVTOOLSET_ROOTPATH/usr/lib/dyninst:/usr/local/lib64:/usr/local/lib
+ENV PKG_CONFIG_PATH /usr/local/lib/pkgconfig
+
+COPY manylinux2014_build_scripts /manylinux2014_build_scripts
+RUN bash /manylinux2014_build_scripts/build.sh 8 && rm -r manylinux2014_build_scripts && yum downgrade  -y glibc-2.17-317.el7 glibc-common-2.17-317.el7 glibc-devel-2.17-317.el7 glibc-headers-2.17-317.el7
+
+ENV SSL_CERT_FILE=/opt/_internal/certs.pem
+
+#Build manylinux2014 docker image end
+
+#Install TensorRT 7.2.2.2
+RUN yum install -y wget
+RUN cd /tmp &&\
+    wget --no-check-certificate https://developer.download.nvidia.com/compute/machine-learning/repos/rhel7/x86_64/nvidia-machine-learning-repo-rhel7-1.0.0-1.x86_64.rpm &&\
+    rpm -Uvh nvidia-machine-learning-repo-*.rpm
+RUN yum install -y libnvinfer7-7.2.2-1.cuda11.1 libnvparsers7-7.2.2-1.cuda11.1 libnvinfer-plugin7-7.2.2-1.cuda11.1 libnvonnxparsers7-7.2.2-1.cuda11.1 libnvinfer-devel-7.2.2-1.cuda11.1 libnvparsers-devel-7.2.2-1.cuda11.1 libnvinfer-plugin-devel-7.2.2-1.cuda11.1
+
+#Add our own dependencies
+ADD scripts /tmp/scripts
+RUN cd /tmp/scripts && /tmp/scripts/manylinux/install_centos.sh && /tmp/scripts/manylinux/install_deps.sh && rm -rf /tmp/scripts
+
+ARG BUILD_UID=1001
+ARG BUILD_USER=onnxruntimedev
+RUN adduser --uid $BUILD_UID $BUILD_USER
+WORKDIR /home/$BUILD_USER
+USER $BUILD_USER
+ENV PATH /usr/local/gradle/bin:/usr/local/dotnet:$PATH
diff --git a/tools/ci_build/github/linux/docker/Dockerfile.manylinux2014_cuda11_tensorrt7_2 b/tools/ci_build/github/linux/docker/Dockerfile.manylinux2014_cuda11_tensorrt7_2
new file mode 100644
index 0000000000..5a52468bc0
--- /dev/null
+++ b/tools/ci_build/github/linux/docker/Dockerfile.manylinux2014_cuda11_tensorrt7_2
@@ -0,0 +1,42 @@
+FROM nvcr.io/nvidia/cuda:11.0-cudnn8-devel-centos7
+
+#We need CUDA, TensorRT and manylinux. But the CUDA Toolkit End User License Agreement says NVIDIA CUDA Driver Libraries(libcuda.so, libnvidia-ptxjitcompiler.so) are only distributable in applications that meet this criteria:
+#1. The application was developed starting from a NVIDIA CUDA container obtained from Docker Hub or the NVIDIA GPU Cloud, and
+#2. The resulting application is packaged as a Docker container and distributed to users on Docker Hub or the NVIDIA GPU Cloud only.
+#So we use CUDA as the base image then add manylinux and TensorRT on top of it.
+
+#Build manylinux2014 docker image begin
+ENV AUDITWHEEL_ARCH x86_64
+ENV AUDITWHEEL_PLAT manylinux2014_$AUDITWHEEL_ARCH
+ENV LC_ALL en_US.UTF-8
+ENV LANG en_US.UTF-8
+ENV LANGUAGE en_US.UTF-8
+ENV DEVTOOLSET_ROOTPATH /opt/rh/devtoolset-9/root
+ENV PATH $DEVTOOLSET_ROOTPATH/usr/bin:$PATH
+ENV LD_LIBRARY_PATH $DEVTOOLSET_ROOTPATH/usr/lib64:$DEVTOOLSET_ROOTPATH/usr/lib:$DEVTOOLSET_ROOTPATH/usr/lib64/dyninst:$DEVTOOLSET_ROOTPATH/usr/lib/dyninst:/usr/local/lib64:/usr/local/lib
+ENV PKG_CONFIG_PATH /usr/local/lib/pkgconfig
+
+COPY manylinux2014_build_scripts /manylinux2014_build_scripts
+RUN bash /manylinux2014_build_scripts/build.sh 8 && rm -r manylinux2014_build_scripts && yum downgrade  -y glibc-2.17-317.el7 glibc-common-2.17-317.el7 glibc-devel-2.17-317.el7 glibc-headers-2.17-317.el7
+
+ENV SSL_CERT_FILE=/opt/_internal/certs.pem
+
+#Build manylinux2014 docker image end
+
+#Install TensorRT 7.2.2.2
+RUN yum install -y wget
+RUN cd /tmp &&\
+    wget --no-check-certificate https://developer.download.nvidia.com/compute/machine-learning/repos/rhel7/x86_64/nvidia-machine-learning-repo-rhel7-1.0.0-1.x86_64.rpm &&\
+    rpm -Uvh nvidia-machine-learning-repo-*.rpm
+RUN yum install -y libnvinfer7-7.2.2-1.cuda11.0 libnvparsers7-7.2.2-1.cuda11.0 libnvinfer-plugin7-7.2.2-1.cuda11.0 libnvonnxparsers7-7.2.2-1.cuda11.0 libnvinfer-devel-7.2.2-1.cuda11.0 libnvparsers-devel-7.2.2-1.cuda11.0 libnvinfer-plugin-devel-7.2.2-1.cuda11.0
+
+#Add our own dependencies
+ADD scripts /tmp/scripts
+RUN cd /tmp/scripts && /tmp/scripts/manylinux/install_centos.sh && /tmp/scripts/manylinux/install_deps.sh && rm -rf /tmp/scripts
+
+ARG BUILD_UID=1001
+ARG BUILD_USER=onnxruntimedev
+RUN adduser --uid $BUILD_UID $BUILD_USER
+WORKDIR /home/$BUILD_USER
+USER $BUILD_USER
+ENV PATH /usr/local/gradle/bin:/usr/local/dotnet:$PATH