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The ability for users to serve their models using the optimization framework Nvidia's TensorRT could be useful.
At present it comes hardwired with a set REST server. Would need to modify this to use our microservice prediction API.
The text was updated successfully, but these errors were encountered:
https://developers.googleblog.com/2018/03/tensorrt-integration-with-tensorflow.html
This shows more understanding is needed as to what are the blockers for use of TensorRT before we do any work within seldon-core
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In Kubeflow we would like to create an example for serving with GPUs: kubeflow/examples#145
We have an example notebook for TensorRT now.
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The ability for users to serve their models using the optimization framework Nvidia's TensorRT could be useful.
At present it comes hardwired with a set REST server. Would need to modify this to use our microservice prediction API.
The text was updated successfully, but these errors were encountered: