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PaddleServing Roadmap
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Dong Daxiang edited this page
Feb 26, 2020
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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.
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PaddleServing Roadmap
Paddle Serving roadmap
General Serving
Single GPU Card with Multiple Models
Deployment with EDL on Kubernetes
Model Serving Cloud
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