tensorrt insight

This document provides an overview of TensorRT, a high-performance AI inference engine from NVIDIA. It offers cross-platform capabilities, supports various programming interfaces, and allows for custom plugin development. Below are details about its features and associated resources.

TensorRT is a semi-open source high-performance AI inference engine framework/library launched by Nvidia across the nv-gpu architecture. It provides cpp/python interfaces and user-defined plug-in methods, covering the main aspects of AI inference engine technology.

TensorRT is a semi-open source high-performance AI inference engine framework/library developed by Nvidia, which spans across nv-gpu architectures.

Provides cpp/python interfaces and user-defined plugin methods, covering the main aspects of AI inference engine technology.

Reference

https://docs.nvidia.com/deeplearning/tensorrt/archives/

https://developer.nvidia.com/search?page=1&sort=relevance&term=

https://github.com/HeKun-NVIDIA/TensorRT-DeveloperGuidein_Chinese/tree/main

https://docs.nvidia.com/deeplearning/tensorrt/migration-guide/index.html

https://developer.nvidia.com/zh-cn/blog/nvidia-gpu-fp8-training-inference/