What is TensorRT?

TensorRT is a high-performance inference acceleration library developed by NVIDIA, designed to optimize machine learning models for NVIDIA GPUs, and is considered one of the fastest ways to run models currently. Users typically start with frameworks like PyTorch or TensorFlow and convert models to TensorRT for deployment, with tools like Roboflow simplifying this transition. The installation of TensorRT involves setting up NVIDIA GPU drivers, Cuda, and TensorRT itself, preferably on a Linux base such as Ubuntu. While TensorRT is focused on GPU acceleration, alternative frameworks like OpenVINO and ONNX are recommended for CPU optimization. Additionally, TensorRT can enhance inference speeds on NVIDIA Jetson devices, with newer Jetson Jetpack distributions potentially including pre-installed TensorRT.

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