Skip to main content
Pre-release

This release is a pre-release and may not be stable for production use.

Project Description

Apache MXNet Model Server (MMS) is a flexible and easy to use tool for serving deep learning models exported from MXNet or the Open Neural Network Exchange (ONNX).

Use the MMS Server CLI, or the pre-configured Docker images, to start a service that sets up HTTP endpoints to handle model inference requests.

Detailed documentation and examples are provided in the docs folder.

Prerequisites

  • java 8: Required. MMS use java to serve HTTP requests. You must install java 8 (or later) and make sure java is on available in $PATH environment variable before installing MMS. If you have multiple java installed, you can use $JAVA_HOME environment vairable to control which java to use.

  • mxnet: mxnet will not be installed by default with MMS 1.0 any more. You have to install it manually if you use MxNet.

For ubuntu:

sudo apt-get install openjdk-8-jre-headless

For centos

sudo yum install java-1.8.0-openjdk

For Mac:

brew tap caskroom/versions
brew update
brew cask install java8

Install MxNet:

pip install mxnet

MXNet offers MKL pip packages that will be much faster when running on Intel hardware. To install mkl package for CPU:

pip install mxnet-mkl

or for GPU instance:

pip install mxnet-cu92mkl

Installation

pip install mxnet-model-server

Development

We welcome new contributors of all experience levels. For information on how to install MMS for development, refer to the MMS docs.

Source code

You can check the latest source code as follows:

git clone https://github.com/awslabs/mxnet-model-server.git

Testing

After installation, try out the MMS Quickstart for

Help and Support

Citation

If you use MMS in a publication or project, please cite MMS: https://github.com/awslabs/mxnet-model-server

Metadata

Release files for mxnet-model-server 1.0b20181113

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Built distribution (wheel)

Table of built distributions (wheels) for mxnet-model-server 1.0b20181113
File Interpreter ABI Platform
mxnet_model_server-1.0b20181113-py2.py3-none-any.whl Python 2, Python 3 none any Details

Release files / mxnet_model_server-1.0b20181113-py2.py3-none-any.whl

Download URL mxnet_model_server-1.0b20181113-py2.py3-none-any.whl
Size 4.5 MB
Tags Python 2 Python 3
SHA-256 checksum
How to use checksums
8a01b9d44a4c8bd5adc8dfe5603a5196d4859834979035143d8eec6fbf666df3
BLAKE2b-256 checksum
How to use checksums
568edaf848cb79705c2df1b1ea565c4316967c56fc0209b6e07f780e2dd0b441
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/1.12.1 pkginfo/1.4.2 requests/2.18.4 setuptools/39.2.0 requests-toolbelt/0.8.0 tqdm/4.28.1 CPython/2.7.12

Release history Release notifications | RSS feed

1.0.8

1 release file

1.0.7

1 release file

1.0.6

1 release file

1.0.5

1 release file

1.0.4

1 release file

1.0.3

1 release file

1.0.2

1 release file

1.0.1

1 release file

1.0.0

1 release file

This release

1.0b20181113 This release

1 release file

0.4

1 release file

0.3

1 release file

0.2.0

1 release file

0.1.5

1 release file

0.1.4

1 release file

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page