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PaddleServing Roadmap
Dong Daxiang edited this page Feb 26, 2020
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- Integrate with Paddle seamlessly, and make most models trained with Paddle deployable with Serving framework.
- Support key-value features.
- Support several applications, including bert-as-a-service, image-semantic-vector-service, LAC, IMDB, CTR on criteo
- Benchmark on serveral tasks.
- Load multiple models with GPU, and limit the GPU memory.
- deploy with docker on Kubernetes and support elastic scheduling.
- Release lots of model service that can be easy-to-use.