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PaddleServing Roadmap

Dong Daxiang edited this page Feb 26, 2020 · 2 revisions

Paddle Serving roadmap

General Serving

  • 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.

Single GPU Card with Multiple Models

  • Load multiple models with GPU, and limit the GPU memory.

Deployment with EDL on Kubernetes

  • deploy with docker on Kubernetes and support elastic scheduling.

Model Serving Cloud

  • Release lots of model service that can be easy-to-use.