10.16.1 update (#4737)

Signed-off-by: Kevin Chen <kevinch@nvidia.com>

Author: kevinch-nv

CHANGELOG.md

@@ -1,4 +1,8 @@
 # TensorRT OSS Release Changelog
+## 10.16.1 GA - 2026-4-13
+
+- This is a bugfix release with no major new features. See the [release notes](https://docs.nvidia.com/deeplearning/tensorrt/latest/getting-started/release-notes-10/10.16.1.html) for more details.
+
 ## 10.16 GA - 2026-3-24
 
 - General

README.md

@@ -43,7 +43,7 @@ To build the TensorRT-OSS components, you will first need the following software
 
 **TensorRT GA build**
 
-- TensorRT v10.16.0.72
+- TensorRT v10.16.1.11
   - Available from direct download links listed below
 
 **System Packages**
@@ -98,24 +98,24 @@ To build the TensorRT-OSS components, you will first need the following software
 
    Else download and extract the TensorRT GA build from [NVIDIA Developer Zone](https://developer.nvidia.com) with the direct links below:
 
-   - [TensorRT 10.16.0.72 for CUDA 13.2, Linux x86_64](https://developer.nvidia.com/downloads/compute/machine-learning/tensorrt/10.16.0/tars/TensorRT-10.16.0.72.Linux.x86_64-gnu.cuda-13.2.tar.gz)
-   - [TensorRT 10.16.0.72 for CUDA 12.9, Linux x86_64](https://developer.nvidia.com/downloads/compute/machine-learning/tensorrt/10.16.0/tars/TensorRT-10.16.0.72.Linux.x86_64-gnu.cuda-12.9.tar.gz)
-   - [TensorRT 10.16.0.72 for CUDA 13.2, Windows x86_64](https://developer.nvidia.com/downloads/compute/machine-learning/tensorrt/10.16.0/zip/TensorRT-10.16.0.72.Windows.win10.cuda-13.2.zip)
-   - [TensorRT 10.16.0.72 for CUDA 12.9, Windows x86_64](https://developer.nvidia.com/downloads/compute/machine-learning/tensorrt/10.16.0/zip/TensorRT-10.16.0.72.Windows.win10.cuda-12.9.zip)
+   - [TensorRT 10.16.1.11 for CUDA 13.2, Linux x86_64](https://developer.nvidia.com/downloads/compute/machine-learning/tensorrt/10.16.1/tars/TensorRT-10.16.1.11.Linux.x86_64-gnu.cuda-13.2.tar.gz)
+   - [TensorRT 10.16.1.11 for CUDA 12.9, Linux x86_64](https://developer.nvidia.com/downloads/compute/machine-learning/tensorrt/10.16.1/tars/TensorRT-10.16.1.11.Linux.x86_64-gnu.cuda-12.9.tar.gz)
+   - [TensorRT 10.16.1.11 for CUDA 13.2, Windows x86_64](https://developer.nvidia.com/downloads/compute/machine-learning/tensorrt/10.16.1/zip/TensorRT-10.16.1.11.Windows.amd64.cuda-13.2.zip)
+   - [TensorRT 10.16.1.11 for CUDA 12.9, Windows x86_64](https://developer.nvidia.com/downloads/compute/machine-learning/tensorrt/10.16.1/zip/TensorRT-10.16.1.11.Windows.amd64.cuda-12.9.zip)
 
    **Example: Ubuntu 22.04 on x86-64 with cuda-13.2**
 
    ```bash
    cd ~/Downloads
-   tar -xvzf TensorRT-10.16.0.72.Linux.x86_64-gnu.cuda-13.2.tar.gz
-   export TRT_LIBPATH=`pwd`/TensorRT-10.16.0.72/lib
+   tar -xvzf TensorRT-10.16.1.11.Linux.x86_64-gnu.cuda-13.2.tar.gz
+   export TRT_LIBPATH=`pwd`/TensorRT-10.16.1.11/lib
    ```
 
    **Example: Windows on x86-64 with cuda-12.9**
 
    ```powershell
-   Expand-Archive -Path TensorRT-10.16.0.72.Windows.win10.cuda-12.9.zip
-   $env:TRT_LIBPATH="$pwd\TensorRT-10.16.0.72\lib"
+   Expand-Archive -Path TensorRT-10.16.1.11.Windows.amd64.cuda-12.9.zip
+   $env:TRT_LIBPATH="$pwd\TensorRT-10.16.1.11\lib"
    ```
 
 ## Setting Up The Build Environment

VERSION

@@ -1 +1 @@
-10.16.0.72
+10.16.1.11

docker/rockylinux8.Dockerfile

@@ -20,7 +20,7 @@ ARG CUDA_VERSION=13.2.0
 FROM nvidia/cuda:${CUDA_VERSION}-devel-rockylinux8
 LABEL maintainer="NVIDIA CORPORATION"
 
-ENV TRT_VERSION 10.16.0.72
+ENV TRT_VERSION 10.16.1.11
 SHELL ["/bin/bash", "-c"]
 
 # Setup user account
@@ -55,15 +55,15 @@ RUN dnf install -y python38 python38-devel &&\
 
 # Install TensorRT
 RUN if [ "${CUDA_VERSION:0:2}" = "13" ]; then \
-    wget https://developer.nvidia.com/downloads/compute/machine-learning/tensorrt/10.16.0/tars/TensorRT-10.16.0.72.Linux.x86_64-gnu.cuda-13.2.tar.gz \
-    && tar -xf TensorRT-10.16.0.72.Linux.x86_64-gnu.cuda-13.2.tar.gz \
-    && cp -a TensorRT-10.16.0.72/lib/*.so* /usr/lib64 \
-    && pip install TensorRT-10.16.0.72/python/tensorrt-10.16.0.72-cp38-none-linux_x86_64.whl ;\
+    wget https://developer.nvidia.com/downloads/compute/machine-learning/tensorrt/10.16.1/tars/TensorRT-10.16.1.11.Linux.x86_64-gnu.cuda-13.2.tar.gz \
+    && tar -xf TensorRT-10.16.1.11.Linux.x86_64-gnu.cuda-13.2.tar.gz \
+    && cp -a TensorRT-10.16.1.11/lib/*.so* /usr/lib64 \
+    && pip install TensorRT-10.16.1.11/python/tensorrt-10.16.1.11-cp38-none-linux_x86_64.whl ;\
     elif [ "${CUDA_VERSION:0:2}" = "12" ]; then \
-    wget https://developer.nvidia.com/downloads/compute/machine-learning/tensorrt/10.16.0/tars/TensorRT-10.16.0.72.Linux.x86_64-gnu.cuda-12.9.tar.gz \
-    && tar -xf TensorRT-10.16.0.72.Linux.x86_64-gnu.cuda-12.9.tar.gz \
-    && cp -a TensorRT-10.16.0.72/lib/*.so* /usr/lib64 \
-    && pip install TensorRT-10.16.0.72/python/tensorrt-10.16.0.72-cp38-none-linux_x86_64.whl ;\
+    wget https://developer.nvidia.com/downloads/compute/machine-learning/tensorrt/10.16.1/tars/TensorRT-10.16.1.11.Linux.x86_64-gnu.cuda-12.9.tar.gz \
+    && tar -xf TensorRT-10.16.1.11.Linux.x86_64-gnu.cuda-12.9.tar.gz \
+    && cp -a TensorRT-10.16.1.11/lib/*.so* /usr/lib64 \
+    && pip install TensorRT-10.16.1.11/python/tensorrt-10.16.1.11-cp38-none-linux_x86_64.whl ;\
     else \
     echo "Invalid CUDA_VERSION"; \
     exit 1; \

docker/rockylinux9.Dockerfile

@@ -20,7 +20,7 @@ ARG CUDA_VERSION=13.2.0
 FROM nvidia/cuda:${CUDA_VERSION}-devel-rockylinux9
 LABEL maintainer="NVIDIA CORPORATION"
 
-ENV TRT_VERSION 10.16.0.72
+ENV TRT_VERSION 10.16.1.11
 SHELL ["/bin/bash", "-c"]
 
 # Setup user account
@@ -60,15 +60,15 @@ RUN dnf -y install \
 
 # Install TensorRT
 RUN if [ "${CUDA_VERSION:0:2}" = "13" ]; then \
-    wget https://developer.nvidia.com/downloads/compute/machine-learning/tensorrt/10.16.0/tars/TensorRT-10.16.0.72.Linux.x86_64-gnu.cuda-13.2.tar.gz \
-    && tar -xf TensorRT-10.16.0.72.Linux.x86_64-gnu.cuda-13.2.tar.gz \
-    && cp -a TensorRT-10.16.0.72/lib/*.so* /usr/lib64 \
-    && pip install TensorRT-10.16.0.72/python/tensorrt-10.16.0.72-cp39-none-linux_x86_64.whl ;\
+    wget https://developer.nvidia.com/downloads/compute/machine-learning/tensorrt/10.16.1/tars/TensorRT-10.16.1.11.Linux.x86_64-gnu.cuda-13.2.tar.gz \
+    && tar -xf TensorRT-10.16.1.11.Linux.x86_64-gnu.cuda-13.2.tar.gz \
+    && cp -a TensorRT-10.16.1.11/lib/*.so* /usr/lib64 \
+    && pip install TensorRT-10.16.1.11/python/tensorrt-10.16.1.11-cp39-none-linux_x86_64.whl ;\
     elif [ "${CUDA_VERSION:0:2}" = "12" ]; then \
-    wget https://developer.nvidia.com/downloads/compute/machine-learning/tensorrt/10.16.0/tars/TensorRT-10.16.0.72.Linux.x86_64-gnu.cuda-12.9.tar.gz \
-    && tar -xf TensorRT-10.16.0.72.Linux.x86_64-gnu.cuda-12.9.tar.gz \
-    && cp -a TensorRT-10.16.0.72/lib/*.so* /usr/lib64 \
-    && pip install TensorRT-10.16.0.72/python/tensorrt-10.16.0.72-cp39-none-linux_x86_64.whl ;\
+    wget https://developer.nvidia.com/downloads/compute/machine-learning/tensorrt/10.16.1/tars/TensorRT-10.16.1.11.Linux.x86_64-gnu.cuda-12.9.tar.gz \
+    && tar -xf TensorRT-10.16.1.11.Linux.x86_64-gnu.cuda-12.9.tar.gz \
+    && cp -a TensorRT-10.16.1.11/lib/*.so* /usr/lib64 \
+    && pip install TensorRT-10.16.1.11/python/tensorrt-10.16.1.11-cp39-none-linux_x86_64.whl ;\
     else \
     echo "Invalid CUDA_VERSION"; \
     exit 1; \

docker/ubuntu-22.04.Dockerfile

@@ -20,7 +20,7 @@ ARG CUDA_VERSION=13.2.0
 FROM nvidia/cuda:${CUDA_VERSION}-devel-ubuntu22.04
 LABEL maintainer="NVIDIA CORPORATION"
 
-ENV TRT_VERSION 10.16.0.72
+ENV TRT_VERSION 10.16.1.11
 SHELL ["/bin/bash", "-c"]
 
 # Setup user account
@@ -73,15 +73,15 @@ RUN apt-get install -y --no-install-recommends \
 
 # Install TensorRT
 RUN if [ "${CUDA_VERSION:0:2}" = "13" ]; then \
-    wget https://developer.nvidia.com/downloads/compute/machine-learning/tensorrt/10.16.0/tars/TensorRT-10.16.0.72.Linux.x86_64-gnu.cuda-13.2.tar.gz \
-    && tar -xf TensorRT-10.16.0.72.Linux.x86_64-gnu.cuda-13.2.tar.gz \
-    && cp -a TensorRT-10.16.0.72/lib/*.so* /usr/lib64 \
-    && pip install TensorRT-10.16.0.72/python/tensorrt-10.16.0.72-cp310-none-linux_x86_64.whl ;\
+    wget https://developer.nvidia.com/downloads/compute/machine-learning/tensorrt/10.16.1/tars/TensorRT-10.16.1.11.Linux.x86_64-gnu.cuda-13.2.tar.gz \
+    && tar -xf TensorRT-10.16.1.11.Linux.x86_64-gnu.cuda-13.2.tar.gz \
+    && cp -a TensorRT-10.16.1.11/lib/*.so* /usr/lib/x86_64-linux-gnu \
+    && pip install TensorRT-10.16.1.11/python/tensorrt-10.16.1.11-cp310-none-linux_x86_64.whl ;\
     elif [ "${CUDA_VERSION:0:2}" = "12" ]; then \
-    wget https://developer.nvidia.com/downloads/compute/machine-learning/tensorrt/10.16.0/tars/TensorRT-10.16.0.72.Linux.x86_64-gnu.cuda-12.9.tar.gz \
-    && tar -xf TensorRT-10.16.0.72.Linux.x86_64-gnu.cuda-12.9.tar.gz \
-    && cp -a TensorRT-10.16.0.72/lib/*.so* /usr/lib64 \
-    && pip install TensorRT-10.16.0.72/python/tensorrt-10.16.0.72-cp310-none-linux_x86_64.whl ;\
+    wget https://developer.nvidia.com/downloads/compute/machine-learning/tensorrt/10.16.1/tars/TensorRT-10.16.1.11.Linux.x86_64-gnu.cuda-12.9.tar.gz \
+    && tar -xf TensorRT-10.16.1.11.Linux.x86_64-gnu.cuda-12.9.tar.gz \
+    && cp -a TensorRT-10.16.1.11/lib/*.so* /usr/lib/x86_64-linux-gnu \
+    && pip install TensorRT-10.16.1.11/python/tensorrt-10.16.1.11-cp310-none-linux_x86_64.whl ;\
     else \
     echo "Invalid CUDA_VERSION"; \
     exit 1; \

docker/ubuntu-24.04-aarch64.Dockerfile

@@ -20,7 +20,7 @@ ARG CUDA_VERSION=13.2.0
 # Multi-arch container support available in non-cudnn containers.
 FROM nvidia/cuda:${CUDA_VERSION}-devel-ubuntu24.04
 
-ENV TRT_VERSION 10.16.0.72
+ENV TRT_VERSION 10.16.1.11
 SHELL ["/bin/bash", "-c"]
 
 # Setup user account and edit default account
@@ -83,15 +83,15 @@ ENV PATH="/opt/venv/bin:$PATH"
 
 # Install TensorRT
 RUN if [ "${CUDA_VERSION:0:2}" = "13" ]; then \
-    wget https://developer.nvidia.com/downloads/compute/machine-learning/tensorrt/10.16.0/tars/TensorRT-10.16.0.72.Linux.aarch64-gnu.cuda-13.2.tar.gz \
-    && tar -xf TensorRT-10.16.0.72.Linux.aarch64-gnu.cuda-13.2.tar.gz \
-    && cp -a TensorRT-10.16.0.72/lib/*.so* /usr/lib/aarch64-linux-gnu/ \
-    && pip install TensorRT-10.16.0.72/python/tensorrt-10.16.0.72-cp312-none-linux_aarch64.whl ;\
+    wget https://developer.nvidia.com/downloads/compute/machine-learning/tensorrt/10.16.1/tars/TensorRT-10.16.1.11.Linux.aarch64-gnu.cuda-13.2.tar.gz \
+    && tar -xf TensorRT-10.16.1.11.Linux.aarch64-gnu.cuda-13.2.tar.gz \
+    && cp -a TensorRT-10.16.1.11/lib/*.so* /usr/lib/aarch64-linux-gnu/ \
+    && pip install TensorRT-10.16.1.11/python/tensorrt-10.16.1.11-cp312-none-linux_aarch64.whl ;\
     elif [ "${CUDA_VERSION:0:2}" = "12" ]; then \
-    wget https://developer.nvidia.com/downloads/compute/machine-learning/tensorrt/10.16.0/tars/TensorRT-10.16.0.72.Linux.aarch64-gnu.cuda-12.9.tar.gz \
-    && tar -xf TensorRT-10.16.0.72.Linux.aarch64-gnu.cuda-12.9.tar.gz \
-    && cp -a TensorRT-10.16.0.72/lib/*.so* /usr/lib/aarch64-linux-gnu/ \
-    && pip install TensorRT-10.16.0.72/python/tensorrt-10.16.0.72-cp312-none-linux_aarch64.whl ;\
+    wget https://developer.nvidia.com/downloads/compute/machine-learning/tensorrt/10.16.1/tars/TensorRT-10.16.1.11.Linux.aarch64-gnu.cuda-12.9.tar.gz \
+    && tar -xf TensorRT-10.16.1.11.Linux.aarch64-gnu.cuda-12.9.tar.gz \
+    && cp -a TensorRT-10.16.1.11/lib/*.so* /usr/lib/aarch64-linux-gnu/ \
+    && pip install TensorRT-10.16.1.11/python/tensorrt-10.16.1.11-cp312-none-linux_aarch64.whl ;\
     else \
     echo "Invalid CUDA_VERSION"; \
     exit 1; \

docker/ubuntu-24.04.Dockerfile

@@ -21,7 +21,7 @@ ARG CUDA_VERSION=13.2.0
 FROM nvidia/cuda:${CUDA_VERSION}-devel-ubuntu24.04
 LABEL maintainer="NVIDIA CORPORATION"
 
-ENV TRT_VERSION=10.16.0.72
+ENV TRT_VERSION=10.16.1.11
 SHELL ["/bin/bash", "-c"]
 
 # Setup user account and edit default account
@@ -82,15 +82,15 @@ ENV PATH="/opt/venv/bin:$PATH"
 
 # Install TensorRT
 RUN if [ "${CUDA_VERSION:0:2}" = "13" ]; then \
-    wget https://developer.nvidia.com/downloads/compute/machine-learning/tensorrt/10.16.0/tars/TensorRT-10.16.0.72.Linux.x86_64-gnu.cuda-13.2.tar.gz \
-    && tar -xf TensorRT-10.16.0.72.Linux.x86_64-gnu.cuda-13.2.tar.gz \
-    && cp -a TensorRT-10.16.0.72/lib/*.so* /usr/lib/x86_64-linux-gnu/ \
-    && pip install TensorRT-10.16.0.72/python/tensorrt-10.16.0.72-cp312-none-linux_x86_64.whl ;\
+    wget https://developer.nvidia.com/downloads/compute/machine-learning/tensorrt/10.16.1/tars/TensorRT-10.16.1.11.Linux.x86_64-gnu.cuda-13.2.tar.gz \
+    && tar -xf TensorRT-10.16.1.11.Linux.x86_64-gnu.cuda-13.2.tar.gz \
+    && cp -a TensorRT-10.16.1.11/lib/*.so* /usr/lib/x86_64-linux-gnu/ \
+    && pip install TensorRT-10.16.1.11/python/tensorrt-10.16.1.11-cp312-none-linux_x86_64.whl ;\
     elif [ "${CUDA_VERSION:0:2}" = "12" ]; then \
-    wget https://developer.nvidia.com/downloads/compute/machine-learning/tensorrt/10.16.0/tars/TensorRT-10.16.0.72.Linux.x86_64-gnu.cuda-12.9.tar.gz \
-    && tar -xf TensorRT-10.16.0.72.Linux.x86_64-gnu.cuda-12.9.tar.gz \
-    && cp -a TensorRT-10.16.0.72/lib/*.so* /usr/lib/x86_64-linux-gnu/ \
-    && pip install TensorRT-10.16.0.72/python/tensorrt-10.16.0.72-cp312-none-linux_x86_64.whl ;\
+    wget https://developer.nvidia.com/downloads/compute/machine-learning/tensorrt/10.16.1/tars/TensorRT-10.16.1.11.Linux.x86_64-gnu.cuda-12.9.tar.gz \
+    && tar -xf TensorRT-10.16.1.11.Linux.x86_64-gnu.cuda-12.9.tar.gz \
+    && cp -a TensorRT-10.16.1.11/lib/*.so* /usr/lib/x86_64-linux-gnu/ \
+    && pip install TensorRT-10.16.1.11/python/tensorrt-10.16.1.11-cp312-none-linux_x86_64.whl ;\
     else \
     echo "Invalid CUDA_VERSION"; \
     exit 1; \

docker/ubuntu-cross-aarch64.Dockerfile

@@ -21,7 +21,7 @@ ARG OS_VERSION=24.04
 FROM nvidia/cuda:${CUDA_VERSION}-devel-ubuntu${OS_VERSION}
 LABEL maintainer="NVIDIA CORPORATION"
 
-ENV TRT_VERSION 10.16.0.72
+ENV TRT_VERSION 10.16.1.11
 ENV DEBIAN_FRONTEND=noninteractive
 
 # Setup user account and edit default account
@@ -87,9 +87,9 @@ RUN wget https://developer.download.nvidia.com/compute/cuda/13.2.0/local_install
 
 # Unpack libnvinfer.
 
-RUN wget https://developer.nvidia.com/downloads/compute/machine-learning/tensorrt/10.16.0/tars/TensorRT-10.16.0.72.Linux.aarch64-gnu.cuda-13.1.tar.gz && \
-    tar -xf TensorRT-10.16.0.72.Linux.aarch64-gnu.cuda-13.1.tar.gz && \
-    cp -a TensorRT-10.16.0.72/lib/*.so* /usr/lib/aarch64-linux-gnu
+RUN wget https://developer.nvidia.com/downloads/compute/machine-learning/tensorrt/10.16.1/tars/TensorRT-10.16.1.11.Linux.aarch64-gnu.cuda-13.2.tar.gz && \
+    tar -xf TensorRT-10.16.1.11.Linux.aarch64-gnu.cuda-13.2.tar.gz && \
+    cp -a TensorRT-10.16.1.11/lib/*.so* /usr/lib/aarch64-linux-gnu
 
 # Link required library
 RUN cd /usr/aarch64-linux-gnu/lib && ln -sf librt.so.1 librt.so

include/NvInferVersion.h

@@ -25,8 +25,8 @@
 
 #define TRT_MAJOR_ENTERPRISE 10
 #define TRT_MINOR_ENTERPRISE 16
-#define TRT_PATCH_ENTERPRISE 0
-#define TRT_BUILD_ENTERPRISE 72
+#define TRT_PATCH_ENTERPRISE 1
+#define TRT_BUILD_ENTERPRISE 11
 #define NV_TENSORRT_MAJOR TRT_MAJOR_ENTERPRISE //!< TensorRT major version.
 #define NV_TENSORRT_MINOR TRT_MINOR_ENTERPRISE //!< TensorRT minor version.
 #define NV_TENSORRT_PATCH TRT_PATCH_ENTERPRISE //!< TensorRT patch version.