![]() ![]() ![]() Login with your NVIDIA developer account. Download and launch the JetPack SDK manager.(Optional - for Jetson builds only) Download the JetPack SDK.NOTE: onnx-tensorrt, cub, and protobuf packages are downloaded along with TensorRT OSS, and not required to be installed. PyPI packages (for demo applications/tests) (Cross compilation for QNX platform) QNX Toolchain.(Cross compilation for Jetson platform) NVIDIA JetPack >= 5.0 (current support only for TensorRT 8.4.0 and TensorRT 8.5.2).To build the TensorRT-OSS components, you will first need the following software packages. You can skip the Build section to enjoy TensorRT with Python. We provide the TensorRT Python package for an easy installation. Join the TensorRT and Triton community and stay current on the latest product updates, bug fixes, content, best practices, and more. Check out NVIDIA LaunchPad for free access to a set of hands-on labs with TensorRT hosted on NVIDIA infrastructure. For business inquiries, please contact For press and other inquiries, please contact Hector Marinez at enterprise support? NVIDIA global support is available for TensorRT with the NVIDIA AI Enterprise software suite.For a summary of new additions and updates shipped with TensorRT-OSS releases, please refer to the Changelog.For code contributions to TensorRT-OSS, please see our Contribution Guide and Coding Guidelines.These open source software components are a subset of the TensorRT General Availability (GA) release with some extensions and bug-fixes. It includes the sources for TensorRT plugins and parsers (Caffe and ONNX), as well as sample applications demonstrating usage and capabilities of the TensorRT platform. This repository contains the Open Source Software (OSS) components of NVIDIA TensorRT. ![]()
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