WARNING: the following links and names of binary distributions are provided for your convenience but they point to packages that are not provided nor endorsed by the Apache Software Foundation. As such, they might contain software components with more restrictive licenses than the Apache License and you'll need to decide whether they are appropriate for your usage. The packages linked here contain proprietary parts of the NVidia CUDA SDK and GPL GCC Runtime Library components. Like all Apache Releases, the official Apache MXNet releases consist of source code only and are found at the Download page.

Docker images with MXNet are available at DockerHub.

Please follow the NVidia Docker installation instructions to enable the usage of GPUs from the docker containers.

After you installed Docker on your machine, you can use them via:

{% highlight bash %} $ docker pull mxnet/python:gpu # Use sudo if you skip Step 2 {% endhighlight %}

You can list docker images to see if mxnet/python docker image pull was successful.

{% highlight bash %} $ docker images # Use sudo if you skip Step 2

REPOSITORY TAG IMAGE ID CREATED SIZE mxnet/python gpu 493b2683c269 3 weeks ago 4.77 GB {% endhighlight %}

You can then validate the installation.