[GitHub] aaronmarkham commented on a change in pull request #11037: Website landing page for MMS

[GitBox <gi...@apache.org>]

aaronmarkham commented on a change in pull request #11037: Website landing page for MMS
URL: https://github.com/apache/incubator-mxnet/pull/11037#discussion_r190747027
 
 

 ##########
 File path: docs/mms/index.md
 ##########
 @@ -0,0 +1,91 @@
+# 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:
+
+* [MXNet-ONNX Docs](../api/python/contrib/onnx.md)
+* [Export an ONNX Model to Serve with MMS](https://github.com/awslabs/mxnet-model-server/docs/export_from_onnx.md)
+
+## Getting Started
+
+To install MMS with ONNX support, make sure you have Python installed, then for Ubuntu run:
+
+```bash
+sudo apt-get install protobuf-compiler libprotoc-dev
+pip install mxnet-model-server
+```
+
+Or for Mac run:
+
+```bash
+conda install -c conda-forge protobuf
+pip install mxnet-model-server
+```
+
+
+## Serving a Model
+
+To serve a model you must first create or download a model archive. Visit the [model zoo](https://github.com/awslabs/mxnet-model-server/docs/model_zoo.md) to browse the free models. MMS options can be explored as follows:
+
+```bash
+mxnet-model-server --help
+```
+
+Here is an easy example for serving an object classification model. You can use any URI and the model will be downloaded first, then served from that location:
+
+```bash
+mxnet-model-server \
+  --models squeezenet=https://s3.amazonaws.com/model-server/models/squeezenet_v1.1/squeezenet_v1.1.model
+```
+
 
 Review comment:
   added output sample

----------------------------------------------------------------
This is an automated message from the Apache Git Service.
To respond to the message, please log on GitHub and use the
URL above to go to the specific comment.
 
For queries about this service, please contact Infrastructure at:
users@infra.apache.org


With regards,
Apache Git Services