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Update README.md
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jiangjiajun authored Feb 6, 2024
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**【更新说明】**
我们在新开源项目FastDeploy里面,基于Triton Inference Server,集成FastDeploy Runtime(包括Paddle Inference、ONNX Runtime、TensorRT以及OpenVINO等),可支持飞桨模型的高性能服务化部署,对服务化部署有需求的开发者,可以参考如下文档进行使用,有任何问题,欢迎在FastDeploy开源项目里通过issue反馈。
- [FastDeploy服务化部署](https://github.com/PaddlePaddle/FastDeploy/blob/develop/serving/README_CN.md)

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Paddle Serving 依托深度学习框架 PaddlePaddle 旨在帮助深度学习开发者和企业提供高性能、灵活易用的工业级在线推理服务。Paddle Serving 支持 RESTful、gRPC、bRPC 等多种协议,提供多种异构硬件和多种操作系统环境下推理解决方案,和多种经典预训练模型示例。核心特性如下:

- 集成高性能服务端推理引擎 [Paddle Inference](https://paddleinference.paddlepaddle.org.cn/product_introduction/inference_intro.html) 和端侧引擎 [Paddle Lite](https://paddlelite.paddlepaddle.org.cn/introduction/tech_highlights.html),其他机器学习平台(Caffe/TensorFlow/ONNX/PyTorch)可通过 [x2paddle](https://github.com/PaddlePaddle/X2Paddle) 工具迁移模型
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