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NVIDIA TensorRT Quick Start Guide

Optimize Deep Learning Inference

NVIDIA® TensorRT™ is a powerful Software Development Kit (SDK) designed to optimize trained deep learning models for high-performance inference. It includes an inference optimizer and a runtime, enabling models to achieve higher throughput and lower latency after training.

This guide provides essential information for getting started with TensorRT, covering key aspects such as:

Installation methods for various environments.
Understanding the TensorRT ecosystem and conversion/deployment workflows.
Practical examples, including deployment using ONNX and TensorFlow Integration (TF-TRT).
Utilizing the TensorRT Runtime API for C++ and Python.

Explore the NVIDIA documentation for comprehensive details and advanced features.

For more information, visit NVIDIA TensorRT.

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