Lately running into too many Sagemaker issues. Is there any unambiguous documentation on Sagemakers Instances? I could glean the following from different sources:

1. Sagemaker Instances, Sagemaker being a managed service, have nothing to do with EC2 instances.
2. Unlike EC2 console, Sagemaker console has no option to view limits or increase limits. One has to go directly to the support page a

In more managed environments, you don't always have the flexibility to create your own IAM role versus use the one that is assigned to you. Spotty should have the ability to use an already existing IAM role if it has the right permissions.

Opening this as an issue so I can keep track of it, I'll be submitting a pull request next week likely.

If you name your stack - sagemaker-pipeline, the stack creation will fail because of S3 bucket name clash with the original author's buckets.

https://github.com/aws/sagemaker-containers/blob/78ab99868d1e96eab9b6210f99a3bb26ab37afe9/src/sagemaker_containers/_mpi.py#L162-L205

If you see the error messages E ModuleNotFoundError: No module named 'smdebug.core.tfevent.proto.types_pb2'1 or ERROR: Compiling summary protocol buffers failed. You will not be able to use smdebug. Please make sure that you have installed protobuf3 compiler and runtime correctly., it is most likely that you haven't installed the correct version of protobuf.

We provide a simple script tha

Use this notebook to update the example provided in the README:

• https://github.com/giuseppeporcelli/sagemaker-custom-serving-containers/blob/master/multi-model-server-container/notebook/multi-model-server-container.ipynb
• https://github.com/giuseppeporcelli/sagemaker-custom-serv