提交 2ac3093f 编写于 作者: D Dong Daxiang 提交者: GitHub

Update README.md

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Paddle Serving helps deep learning developers deploy an online inference service without much effort. Currently, Paddle Serving supports the deep learning models trained by [Paddle](https://github.com/PaddlePaddle/Paddle) althought it can be very easy to integrate other deep learning framework's model inference engine.
## Key Features
- Integrate with Paddle training pipeline seemlessly, most paddle models can be deployed with **one line command**.
- Integrate with Paddle training pipeline seemlessly, most paddle models can be deployed with <font color="#0000dd">one line command</font><br />.
- **Industrial serving features** supported, such as models management, online loading, online A/B testing etc.
- **Distributed Key-Value indexing** supported that is especially useful for large scale sparse features as model inputs.
- **Highly concurrent and efficient communication** between clients and servers.
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