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* Upgrade presets for CUDA 13.3.1, cuDNN 9.24.0.43, NCCL 2.30.7, NVIDIA Video Codec SDK 13.1.15, TensorRT 11.1.0.106, Triton Inference Server 2.70.0
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Lines changed: 13064 additions & 4986 deletions

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‎.github/actions/deploy-ubuntu/action.yml‎

Lines changed: 12 additions & 12 deletions
Original file line numberDiff line numberDiff line change
@@ -49,9 +49,9 @@ runs:
4949
export ARCH=arm64
5050
export ARCH_CUDA=sbsa
5151
export PREFIX=aarch64-linux-gnu
52-
export CUDA=cuda-repo-rhel8-13-2-local-13.2.1_595.58.03-1.aarch64.rpm
53-
export CUDNN=cuda-13-9.21.1.3-1.aarch64
54-
export NCCL=2.30.4-1+cuda13.2.aarch64
52+
export CUDA=cuda-repo-rhel8-13-3-local-13.3.1_610.43.02-1.aarch64.rpm
53+
export CUDNN=cuda-13-9.24.0.43-1.aarch64
54+
export NCCL=2.30.7-1+cuda13.3.aarch64
5555
export NVCOMP=nvcomp-linux-sbsa-5.2.0.10_cuda13-archive
5656
export USERLAND_BUILDME="buildme --aarch64"
5757
elif [[ "$CI_DEPLOY_PLATFORM" == "linux-ppc64le" ]]; then
@@ -71,9 +71,9 @@ runs:
7171
export ARCH=amd64
7272
export ARCH_CUDA=x86_64
7373
export PREFIX=x86_64-linux-gnu
74-
export CUDA=cuda-repo-rhel8-13-2-local-13.2.1_595.58.03-1.x86_64.rpm
75-
export CUDNN=cuda-13-9.21.1.3-1.x86_64
76-
export NCCL=2.30.4-1+cuda13.2.x86_64
74+
export CUDA=cuda-repo-rhel8-13-3-local-13.3.1_610.43.02-1.x86_64.rpm
75+
export CUDNN=cuda-13-9.24.0.43-1.x86_64
76+
export NCCL=2.30.7-1+cuda13.3.x86_64
7777
export NVCOMP=nvcomp-linux-x86_64-5.2.0.10_cuda13-archive
7878
fi
7979
echo "ARCH=$ARCH" >> $GITHUB_ENV
@@ -179,7 +179,7 @@ runs:
179179
180180
if [[ -n ${ARCH_CUDA:-} ]] && [[ -n ${CI_DEPLOY_NEED_CUDA:-} ]]; then
181181
echo Installing CUDA, cuDNN, nvCOMP, etc
182-
curl -LO https://developer.download.nvidia.com/compute/cuda/13.2.1/local_installers/$CUDA
182+
curl -LO https://developer.download.nvidia.com/compute/cuda/13.3.1/local_installers/$CUDA
183183
curl -LO https://developer.download.nvidia.com/compute/cuda/repos/rhel8/$ARCH_CUDA/libcudnn9-$CUDNN.rpm
184184
curl -LO https://developer.download.nvidia.com/compute/cuda/repos/rhel8/$ARCH_CUDA/libcudnn9-devel-$CUDNN.rpm
185185
curl -LO https://developer.download.nvidia.com/compute/cuda/repos/rhel8/$ARCH_CUDA/libcudnn9-headers-$CUDNN.rpm
@@ -188,7 +188,7 @@ runs:
188188
189189
$SUDO rpm -i --force --ignorearch --nodeps $CUDA libcudnn*.rpm libnccl*.rpm
190190
rm -f *.rpm *.tgz *.txz *.tar.*
191-
pushd /var/cuda-repo-rhel8-13-2-local/; $SUDO rpm -i --force --ignorearch --nodeps cuda*.rpm libc*.rpm libn*.rpm; $SUDO rm *.rpm; popd
191+
pushd /var/cuda-repo-rhel8-13-3-local/; $SUDO rpm -i --force --ignorearch --nodeps cuda*.rpm libc*.rpm libn*.rpm; $SUDO rm *.rpm; popd
192192
$SUDO ln -snf $(ls -1d /usr/local/cuda/targets/*/include | tail -n 1) /usr/local/cuda/include
193193
$SUDO ln -snf $(ls -1d /usr/local/cuda/targets/*/lib | tail -n 1) /usr/local/cuda/lib64
194194
$SUDO ln -sf /usr/local/cuda/lib64/ /usr/local/cuda/lib
@@ -231,8 +231,8 @@ runs:
231231
if [[ "$CI_DEPLOY_PLATFORM" == "linux-arm64" ]] && [[ "$CI_DEPLOY_MODULE" == "tensorrt" ]]; then
232232
echo Installing TensorRT
233233
# python3 -m gdown 1LZRCv4ZAGiDQAu4pvADJIGntq4cGl5tU
234-
curl -LO 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
235-
$SUDO tar -hxvf TensorRT-10.16.1.11.Linux.aarch64-gnu.cuda-13.2.tar.gz -C /usr/local/
234+
curl -LO https://developer.nvidia.com/downloads/compute/machine-learning/tensorrt/11.1.0/tars/TensorRT-Enterprise-11.1.0.106-Linux-aarch64-cuda-13.3-Release-external.tar.zst
235+
$SUDO tar -hxvf TensorRT-Enterprise-11.1.0.106-Linux-aarch64-cuda-13.3-Release-external.tar.zst -C /usr/local/
236236
$SUDO ln -sf /usr/local/TensorRT* /usr/local/tensorrt
237237
$SUDO patchelf --set-rpath '$ORIGIN' /usr/local/tensorrt/lib/libnvinfer.so
238238
# Remove downloaded archives and unused libraries to avoid running out of disk space
@@ -242,8 +242,8 @@ runs:
242242
if [[ "$CI_DEPLOY_PLATFORM" == "linux-x86_64" ]] && [[ "$CI_DEPLOY_MODULE" == "tensorrt" ]]; then
243243
echo Installing TensorRT
244244
# python3 -m gdown 1dVhD-DEYY42QbZe1GXl-vxe3k6KqWGsL
245-
curl -LO 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
246-
$SUDO tar -hxvf TensorRT-10.16.1.11.Linux.x86_64-gnu.cuda-13.2.tar.gz -C /usr/local/
245+
curl -LO https://developer.nvidia.com/downloads/compute/machine-learning/tensorrt/11.1.0/tars/TensorRT-Enterprise-11.1.0.106-Linux-x86_64-cuda-13.3-Release-external.tar.zst
246+
$SUDO tar -hxvf TensorRT-Enterprise-11.1.0.106-Linux-x86_64-cuda-13.3-Release-external.tar.zst -C /usr/local/
247247
$SUDO ln -sf /usr/local/TensorRT* /usr/local/tensorrt
248248
$SUDO patchelf --set-rpath '$ORIGIN' /usr/local/tensorrt/lib/libnvinfer.so
249249
# Remove downloaded archives and unused libraries to avoid running out of disk space

‎.github/actions/deploy-windows/action.yml‎

Lines changed: 30 additions & 30 deletions
Original file line numberDiff line numberDiff line change
@@ -79,8 +79,8 @@ runs:
7979
8080
if not "%CI_DEPLOY_NEED_CACHE%"=="" (
8181
echo Installing ccache
82-
curl -LO https://github.com/ccache/ccache/releases/download/v4.6/ccache-4.6-windows-64.zip
83-
unzip -j ccache-4.6-windows-64.zip -d C:/msys64/usr/bin/
82+
curl -LO https://github.com/ccache/ccache/releases/download/v4.13.6/ccache-4.13.6-windows-x86_64.zip
83+
unzip -j ccache-4.13.6-windows-x86_64.zip -d C:/msys64/usr/bin/
8484
mkdir ccache
8585
echo max_size = 8.0G > ccache\ccache.conf
8686
echo hash_dir = false >> ccache\ccache.conf
@@ -146,35 +146,35 @@ runs:
146146
147147
if "%CI_DEPLOY_PLATFORM%"=="windows-x86_64" if not "%CI_DEPLOY_NEED_CUDA%"=="" (
148148
echo Installing CUDA, cuDNN, nvCOMP, etc
149-
curl -LO https://developer.download.nvidia.com/compute/cuda/13.2.1/local_installers/cuda_13.2.1_windows.exe
150-
curl -LO https://developer.download.nvidia.com/compute/cudnn/redist/cudnn/windows-x86_64/cudnn-windows-x86_64-9.21.1.3_cuda13-archive.zip
149+
curl -LO https://developer.download.nvidia.com/compute/cuda/13.3.1/local_installers/cuda_13.3.1_windows.exe
150+
curl -LO https://developer.download.nvidia.com/compute/cudnn/redist/cudnn/windows-x86_64/cudnn-windows-x86_64-9.24.0.43_cuda13-archive.zip
151151
curl -LO http://www.winimage.com/zLibDll/zlib123dllx64.zip
152152
curl -LO https://developer.download.nvidia.com/compute/nvcomp/redist/nvcomp/windows-x86_64/nvcomp-windows-x86_64-5.2.0.10_cuda13-archive.zip
153-
cuda_13.2.1_windows.exe -s
154-
unzip cudnn-windows-x86_64-9.21.1.3_cuda13-archive.zip
153+
cuda_13.3.1_windows.exe -s
154+
unzip cudnn-windows-x86_64-9.24.0.43_cuda13-archive.zip
155155
unzip zlib123dllx64.zip
156156
unzip nvcomp-windows-x86_64-5.2.0.10_cuda13-archive.zip
157-
move cudnn-windows-x86_64-9.21.1.3_cuda13-archive\bin\x64\*.dll "%ProgramFiles%\NVIDIA GPU Computing Toolkit\CUDA\v13.2\bin\x64"
158-
move cudnn-windows-x86_64-9.21.1.3_cuda13-archive\include\*.h "%ProgramFiles%\NVIDIA GPU Computing Toolkit\CUDA\v13.2\include"
159-
move cudnn-windows-x86_64-9.21.1.3_cuda13-archive\lib\x64\*.lib "%ProgramFiles%\NVIDIA GPU Computing Toolkit\CUDA\v13.2\lib\x64"
160-
move dll_x64\zlibwapi.dll "%ProgramFiles%\NVIDIA GPU Computing Toolkit\CUDA\v13.2\bin\x64"
161-
move nvcomp-windows-x86_64-5.2.0.10_cuda13-archive\include\* "%ProgramFiles%\NVIDIA GPU Computing Toolkit\CUDA\v13.2\include"
162-
move nvcomp-windows-x86_64-5.2.0.10_cuda13-archive\include\nvcomp "%ProgramFiles%\NVIDIA GPU Computing Toolkit\CUDA\v13.2\include"
163-
move nvcomp-windows-x86_64-5.2.0.10_cuda13-archive\bin\nvcomp*.dll "%ProgramFiles%\NVIDIA GPU Computing Toolkit\CUDA\v13.2\bin\x64"
164-
move nvcomp-windows-x86_64-5.2.0.10_cuda13-archive\lib\nvcomp*.lib "%ProgramFiles%\NVIDIA GPU Computing Toolkit\CUDA\v13.2\lib\x64"
157+
move cudnn-windows-x86_64-9.24.0.43_cuda13-archive\bin\x64\*.dll "%ProgramFiles%\NVIDIA GPU Computing Toolkit\CUDA\v13.3\bin\x64"
158+
move cudnn-windows-x86_64-9.24.0.43_cuda13-archive\include\*.h "%ProgramFiles%\NVIDIA GPU Computing Toolkit\CUDA\v13.3\include"
159+
move cudnn-windows-x86_64-9.24.0.43_cuda13-archive\lib\x64\*.lib "%ProgramFiles%\NVIDIA GPU Computing Toolkit\CUDA\v13.3\lib\x64"
160+
move dll_x64\zlibwapi.dll "%ProgramFiles%\NVIDIA GPU Computing Toolkit\CUDA\v13.3\bin\x64"
161+
move nvcomp-windows-x86_64-5.2.0.10_cuda13-archive\include\* "%ProgramFiles%\NVIDIA GPU Computing Toolkit\CUDA\v13.3\include"
162+
move nvcomp-windows-x86_64-5.2.0.10_cuda13-archive\include\nvcomp "%ProgramFiles%\NVIDIA GPU Computing Toolkit\CUDA\v13.3\include"
163+
move nvcomp-windows-x86_64-5.2.0.10_cuda13-archive\bin\nvcomp*.dll "%ProgramFiles%\NVIDIA GPU Computing Toolkit\CUDA\v13.3\bin\x64"
164+
move nvcomp-windows-x86_64-5.2.0.10_cuda13-archive\lib\nvcomp*.lib "%ProgramFiles%\NVIDIA GPU Computing Toolkit\CUDA\v13.3\lib\x64"
165165
166166
rem echo Applying hotfix to Visual Studio 2019 for CUDA
167167
rem curl -LO https://raw.githubusercontent.com/microsoft/STL/main/stl/inc/cmath
168168
rem bash -c "find 'C:/Program Files (x86)/Microsoft Visual Studio/2019/Enterprise/VC/' -name cmath -exec cp -v cmath {} \;"
169-
bash -c "sed -i 's/cublas_v2.h/cublas_api.h/g' 'C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v13.2/include/cublasXt.h' 'C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v13.2/include/cusolverDn.h' 'C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v13.2/include/cusolverSp.h'"
170-
bash -c "sed -i 's/#if !defined(__cplusplus) || __cplusplus >= 201103L/#if 1/g' 'C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v13.2/include/driver_types.h'"
171-
bash -c "sed -i 's/__out/__cccl_out/g' 'C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v13.2/include/cccl/cuda/__ptx/instructions/generated/tcgen05_ld.h'"
172-
rem bash -c "sed -i '/block_merge_sort.cuh/d' 'C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v13.2/include/cub/cub.cuh'"
173-
rem bash -c "sed -i '/device_merge_sort.cuh/d' 'C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v13.2/include/cub/cub.cuh'"
174-
rem bash -c "sed -i '/device_segmented_sort.cuh/d' 'C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v13.2/include/cub/cub.cuh'"
175-
rem bash -c "sed -i '/warp_merge_sort.cuh/d' 'C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v13.2/include/cub/cub.cuh'"
176-
rem bash -c "cp -a ""C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v13.2/include/cccl/*"" ""C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v13.2/include/"""
177-
bash -c "find 'C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v13.2/'"
169+
bash -c "sed -i 's/cublas_v2.h/cublas_api.h/g' 'C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v13.3/include/cublasXt.h' 'C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v13.3/include/cusolverDn.h' 'C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v13.3/include/cusolverSp.h'"
170+
bash -c "sed -i 's/#if !defined(__cplusplus) || __cplusplus >= 201103L/#if 1/g' 'C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v13.3/include/driver_types.h'"
171+
bash -c "sed -i 's/__out/__cccl_out/g' 'C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v13.3/include/cccl/cuda/__ptx/instructions/generated/tcgen05_ld.h'"
172+
rem bash -c "sed -i '/block_merge_sort.cuh/d' 'C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v13.3/include/cub/cub.cuh'"
173+
rem bash -c "sed -i '/device_merge_sort.cuh/d' 'C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v13.3/include/cub/cub.cuh'"
174+
rem bash -c "sed -i '/device_segmented_sort.cuh/d' 'C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v13.3/include/cub/cub.cuh'"
175+
rem bash -c "sed -i '/warp_merge_sort.cuh/d' 'C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v13.3/include/cub/cub.cuh'"
176+
rem bash -c "cp -a ""C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v13.3/include/cccl/*"" ""C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v13.3/include/"""
177+
bash -c "find 'C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v13.3/'"
178178
)
179179
180180
if "%CI_DEPLOY_MODULE%"=="nvcodec" (
@@ -187,9 +187,9 @@ runs:
187187
if "%CI_DEPLOY_MODULE%"=="tensorrt" (
188188
echo Installing TensorRT
189189
rem python -m gdown 1GfmJ1BKbacLpUU-0i_mGu0sjrAS0Xzzi
190-
curl -LO https://developer.nvidia.com/downloads/compute/machine-learning/tensorrt/10.16.1/zip/TensorRT-10.16.1.11.Windows.amd64.cuda-13.2.zip
191-
unzip TensorRT-10.16.1.11.Windows.amd64.cuda-13.2.zip
192-
move TensorRT-10.16.1.11 "%ProgramFiles%\NVIDIA GPU Computing Toolkit\TensorRT"
190+
curl -LO https://developer.nvidia.com/downloads/compute/machine-learning/tensorrt/11.1.0/zip/TensorRT-Enterprise-11.1.0.106-Windows-amd64-cuda-13.3-Release-external.zip
191+
unzip TensorRT-Enterprise-11.1.0.106-Windows-amd64-cuda-13.3-Release-external.zip
192+
move TensorRT-Enterprise-11.1.0.106 "%ProgramFiles%\NVIDIA GPU Computing Toolkit\TensorRT"
193193
)
194194
195195
if "%CI_DEPLOY_MODULE%"=="mkl" (
@@ -268,10 +268,10 @@ runs:
268268
C:/msys64/usr/bin/bazel.exe version
269269
)
270270
if exist "%ProgramFiles%\NVIDIA GPU Computing Toolkit" (
271-
set "CUDA_PATH=%ProgramFiles%\NVIDIA GPU Computing Toolkit\CUDA\v13.2"
272-
set "CUDA_PATH_V13_2=%ProgramFiles%\NVIDIA GPU Computing Toolkit\CUDA\v13.2"
273-
set "PATH=%ProgramFiles%\NVIDIA GPU Computing Toolkit\CUDA\v13.2\bin;%ProgramFiles%\NVIDIA GPU Computing Toolkit\CUDA\v13.2\libnvvp;%PATH%"
274-
echo CUDA Version 13.2.1>"%ProgramFiles%\NVIDIA GPU Computing Toolkit\CUDA\v13.2\version.txt"
271+
set "CUDA_PATH=%ProgramFiles%\NVIDIA GPU Computing Toolkit\CUDA\v13.3"
272+
set "CUDA_PATH_V13_3=%ProgramFiles%\NVIDIA GPU Computing Toolkit\CUDA\v13.3"
273+
set "PATH=%ProgramFiles%\NVIDIA GPU Computing Toolkit\CUDA\v13.3\bin;%ProgramFiles%\NVIDIA GPU Computing Toolkit\CUDA\v13.3\libnvvp;%PATH%"
274+
echo CUDA Version 13.3.1>"%ProgramFiles%\NVIDIA GPU Computing Toolkit\CUDA\v13.3\version.txt"
275275
)
276276
277277
set "CCACHE_DIR=%USERPROFILE%\ccache"

‎.github/workflows/tritonserver.yml‎

Lines changed: 1 addition & 1 deletion
Original file line numberDiff line numberDiff line change
@@ -19,7 +19,7 @@ env:
1919
jobs:
2020
linux-x86_64:
2121
runs-on: ubuntu-22.04
22-
container: nvcr.io/nvidia/tritonserver:26.04-pyt-python-py3
22+
container: nvcr.io/nvidia/tritonserver:26.06-pyt-python-py3
2323
steps:
2424
- uses: bytedeco/javacpp-presets/.github/actions/deploy-ubuntu@actions
2525
platform:

‎CHANGELOG.md‎

Lines changed: 1 addition & 1 deletion
Original file line numberDiff line numberDiff line change
@@ -9,7 +9,7 @@
99
* Add new `SampleOnnxMNIST` in samples for TensorRT ([pull #1742](https://github.com/bytedeco/javacpp-presets/pull/1742))
1010
* Fix loading issues with `libomp.dylib` and `libiomp5.dylib` for DNNL and PyTorch on Mac
1111
* Include `model_package_loader.h` header file in presets for PyTorch ([issue #1729](https://github.com/bytedeco/javacpp-presets/issues/1729))
12-
* Upgrade presets for FFmpeg 8.1.1, MKL 2026.0.0, DNNL 3.12.1, OpenBLAS 0.3.33, CUDA 13.2.1, cuDNN 9.21.1.3, NCCL 2.30.4, nvCOMP 5.2.0.10, OpenCL 3.1.1, FFTW 3.3.11, CPython 3.14.6, NumPy 2.5.0, SciPy 1.18.0, LLVM 22.1.7, PyTorch 2.12.0, TensorFlow Lite 2.21.0, TensorRT 10.16.1.11, Triton Inference Server 2.68.0, ONNX 1.21.0, ONNX Runtime 1.26.0 ([pull #1753](https://github.com/bytedeco/javacpp-presets/pull/1753)), and their dependencies
12+
* Upgrade presets for FFmpeg 8.1.1, MKL 2026.0.0, DNNL 3.12.1, OpenBLAS 0.3.33, CUDA 13.3.1, cuDNN 9.24.0.43, NCCL 2.30.7, nvCOMP 5.2.0.10, NVIDIA Video Codec SDK 13.1.15, OpenCL 3.1.1, FFTW 3.3.11, CPython 3.14.6, NumPy 2.5.0, SciPy 1.18.0, LLVM 22.1.7, PyTorch 2.12.0, TensorFlow Lite 2.21.0, TensorRT 11.1.0.106, Triton Inference Server 2.70.0, ONNX 1.21.0, ONNX Runtime 1.26.0 ([pull #1753](https://github.com/bytedeco/javacpp-presets/pull/1753)), and their dependencies
1313
* Compile classes with `parameters` bumping minimum requirements to Java SE 8 and Android 7.0 ([issue #1739](https://github.com/bytedeco/javacpp-presets/issues/1739))
1414

1515
### February 22, 2026 version 1.5.13

‎README.md‎

Lines changed: 5 additions & 5 deletions
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@@ -218,19 +218,19 @@ Each child module in turn relies by default on the included [`cppbuild.sh` scrip
218218
* Tesseract 5.5.x https://github.com/tesseract-ocr/tesseract
219219
* Caffe 1.0 https://github.com/BVLC/caffe
220220
* OpenPose 1.7.0 https://github.com/CMU-Perceptual-Computing-Lab/openpose
221-
* CUDA 13.2.x https://developer.nvidia.com/cuda-downloads
222-
* cuDNN 9.21.x https://developer.nvidia.com/cudnn
221+
* CUDA 13.3.x https://developer.nvidia.com/cuda-downloads
222+
* cuDNN 9.24.x https://developer.nvidia.com/cudnn
223223
* NCCL 2.30.x https://developer.nvidia.com/nccl
224224
* nvCOMP 5.2.x https://developer.nvidia.com/nvcomp
225-
* NVIDIA Video Codec SDK 13.0.x https://developer.nvidia.com/nvidia-video-codec-sdk
225+
* NVIDIA Video Codec SDK 13.1.x https://developer.nvidia.com/nvidia-video-codec-sdk
226226
* OpenCL 3.1.x https://github.com/KhronosGroup/OpenCL-ICD-Loader
227227
* MXNet 1.9.x https://github.com/apache/incubator-mxnet
228228
* PyTorch 2.12.x https://github.com/pytorch/pytorch
229229
* SentencePiece 0.2.x https://github.com/google/sentencepiece
230230
* TensorFlow 1.15.x https://github.com/tensorflow/tensorflow
231231
* TensorFlow Lite 2.21.x https://github.com/tensorflow/tensorflow
232-
* TensorRT 10.16.x https://developer.nvidia.com/tensorrt
233-
* Triton Inference Server 2.68.x https://developer.nvidia.com/nvidia-triton-inference-server
232+
* TensorRT 11.1.x https://developer.nvidia.com/tensorrt
233+
* Triton Inference Server 2.70.x https://developer.nvidia.com/nvidia-triton-inference-server
234234
* The Arcade Learning Environment 0.8.x https://github.com/mgbellemare/Arcade-Learning-Environment
235235
* DepthAI 2.24.x https://github.com/luxonis/depthai-core
236236
* ONNX 1.20.x https://github.com/onnx/onnx

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