sagemaker-python-sdk
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[Feature Request]: Compile model w/ NEO to target AWS Lambda
Hey all, thanks for the nice software!
I've been struggling to find a good way to deploy a sagemaker model in a serverless fashion.
It seems like a great solution would be to compile a trained model using NEO to target the AWS lambda runtime. Perhaps even this could be added to a lambda layer.
Thus the serverless deployment of a sagemaker model would be to simply compile -> include a layer in a lambda function and invoke that lambda using whatever techniques are appropriate for the problem.
Is this a thing that's in the pipeline? I tried to do it myself but I had a tough time figuring out how the various components work.
Hi @ecurtin2 ,
Although your suggestion would result in a very nice feature, we do not have any immediate plans to work on it.
Please, let me know if you have additional questions.
Thanks for using SageMaker!
Would love this!
This would be amazing!
+1, this would be great. Additionally, support for SageMaker Serverless should be added in the similar fashion.