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I couldn't stay at work forever, so I left the Sagemaker notebook running, closed my computer and commuted home. That evening when I returned to my Sagemaker Notebook, the work had completed running and all the cells and their variables continued to be accessible in memory. Long story short, if you disconnect from Sagemaker but leave your notebook ...


2

The amazonei environments are for use with the Amazon Elastic Inference accelerators. You can see this mentioned in the DLAMI README file: for TensorFlow(+Keras2) with Python3 (CUDA 9.0 and Intel MKL-DNN) ______________ ____ source activate tensorflow_p36 for Tensorflow(+Amazon Elastic Inference) with Python3 _________________________ ____ source activate ...


1

I also have been looking for answers regarding this before, and after several days of trying with my friend, we manage to do it. I attach some code snippet that we use, you may modify it according to your use case image = '763104351884.dkr.ecr.us-east-1.amazonaws.com/tensorflow-inference:2.2.0-cpu' container = { 'Image': image, 'ModelDataUrl': ...


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