libtensorrt/10.8.0+3

NOTE:
This package is not open source and does not contain any source code. Instead, in order to "build" the exported target(s) it downloads (potentially large) pre-built binaries provided by NVIDIA for the target platform.

CI for this package is disabled due to the above.
Supported platforms/compilers are Windows/MSVC. Linux binaries exist but are currently not available through this package.

NVIDIA® TensorRT™ is a C++ library that facilitates high-performance inference on NVIDIA GPUs. TensorRT takes a trained network, which consists of a network definition and a set of trained parameters, and produces a highly optimized runtime engine that performs inference for that network. TensorRT provides APIs using C++ and Python that help to express deep learning models using the Network Definition API or load a pre-defined model using the parsers that allow TensorRT to optimize and run them on an NVIDIA GPU. TensorRT applies graph optimizations, layer fusion, among other optimizations, while also finding the fastest implementation of that model leveraging a diverse collection of highly optimized kernels. TensorRT also supplies a runtime that you can use to execute this network on NVIDIA’s GPUs.