sandeep-krishnamurthy commented on a change in pull request #11037: Website 
landing page for MMS
URL: https://github.com/apache/incubator-mxnet/pull/11037#discussion_r190661582
 
 

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 File path: docs/mms/index.md
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+# Model Server for Apache MXNet (incubating)
+
+Model Server for Apache MXNet (incubating), otherwise known as MXNet Model 
Server (MMS), is an open source project aimed at providing a simple yet 
scalable solution for model inference. It is a set of command line tools for 
packaging model archives and serving them. The tools are written in Python, and 
have been extended to support containers for easy deployment and scaling. MMS 
also supports basic logging and advanced logging with AWS CloudWatch 
integration.
+
+
+## Multi-Framework Model Support with ONNX
+
+While the name implies that MMS is just for MXNet, it is in fact much more 
flexible, as it can support models in the [ONNX](https://onnx.ai) format. This 
means that models created and trained in PyTorch, Caffe2, or other 
ONNX-supporting frameworks can be served with MMS.
+
+To find out more about MXNet's support for ONNX models and using ONNX with 
MMS, refer to the following resources:
 
 Review comment:
   There are some tutorials on exporting PyTorch models to ONNX, should we link 
it from the work PyTorch models?

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