diff --git a/docs/install/index.md b/docs/install/index.md
index dd6f97c132db..0757b5cc5ccc 100644
--- a/docs/install/index.md
+++ b/docs/install/index.md
@@ -179,6 +179,16 @@ REPOSITORY TAG IMAGE ID CREATED
mxnet/python latest 00d026968b3c 3 weeks ago 1.41 GB
```
+Using the latest MXNet with [Intel MKL-DNN](https://github.com/intel/mkl-dnn) is recommended for the fastest inference speeds with MXNet.
+
+```
+$ docker pull mxnet/python:1.3.0_cpu_mkl # Use sudo if you skip Step 2
+$ docker images # Use sudo if you skip Step 2
+
+REPOSITORY TAG IMAGE ID CREATED SIZE
+mxnet/python 1.3.0_cpu_mkl deaf9bf61d29 4 days ago 678 MB
+```
+
**Step 4** Validate the installation.
@@ -304,6 +314,16 @@ REPOSITORY TAG IMAGE ID CREATED
mxnet/python gpu 493b2683c269 3 weeks ago 4.77 GB
```
+Using the latest MXNet with [Intel MKL-DNN](https://github.com/intel/mkl-dnn) is recommended for the fastest inference speeds with MXNet.
+
+```
+$ docker pull mxnet/python:1.3.0_cpu_mkl # Use sudo if you skip Step 2
+$ docker images # Use sudo if you skip Step 2
+
+REPOSITORY TAG IMAGE ID CREATED SIZE
+mxnet/python 1.3.0_gpu_cu92_mkl adcb3ab19f50 4 days ago 4.23 GB
+```
+
**Step 5** Validate the installation.
@@ -511,6 +531,16 @@ REPOSITORY TAG IMAGE ID CREATED
mxnet/python latest 00d026968b3c 3 weeks ago 1.41 GB
```
+Using the latest MXNet with [Intel MKL-DNN](https://github.com/intel/mkl-dnn) is recommended for the fastest inference speeds with MXNet.
+
+```
+$ docker pull mxnet/python:1.3.0_cpu_mkl # Use sudo if you skip Step 2
+$ docker images # Use sudo if you skip Step 2
+
+REPOSITORY TAG IMAGE ID CREATED SIZE
+mxnet/python 1.3.0_cpu_mkl deaf9bf61d29 4 days ago 678 MB
+```
+
**Step 4** Validate the installation.
@@ -698,7 +728,44 @@ Check the chart below for other options, refer to
-Refer to the MXNet Windows installation guide.
+Docker images with *MXNet* are available at [Docker Hub](https://hub.docker.com/r/mxnet/).
+
+**Step 1** Install Docker on your machine by following the [docker installation instructions](https://docs.docker.com/engine/installation/linux/ubuntu/#install-using-the-repository).
+
+*Note* - You can install Community Edition (CE) to get started with *MXNet*.
+
+**Step 2** [Optional] Post installation steps to manage Docker as a non-root user.
+
+Follow the four steps in this [docker documentation](https://docs.docker.com/engine/installation/linux/linux-postinstall/#manage-docker-as-a-non-root-user) to allow managing docker containers without *sudo*.
+
+If you skip this step, you need to use *sudo* each time you invoke Docker.
+
+**Step 3** Pull the MXNet docker image.
+
+```
+$ docker pull mxnet/python # Use sudo if you skip Step 2
+```
+
+You can list docker images to see if mxnet/python docker image pull was successful.
+
+```
+$ docker images # Use sudo if you skip Step 2
+
+REPOSITORY TAG IMAGE ID CREATED SIZE
+mxnet/python latest 00d026968b3c 3 weeks ago 1.41 GB
+```
+
+Using the latest MXNet with [Intel MKL-DNN](https://github.com/intel/mkl-dnn) is recommended for the fastest inference speeds with MXNet.
+
+```
+$ docker pull mxnet/python:1.3.0_cpu_mkl # Use sudo if you skip Step 2
+$ docker images # Use sudo if you skip Step 2
+
+REPOSITORY TAG IMAGE ID CREATED SIZE
+mxnet/python 1.3.0_cpu_mkl deaf9bf61d29 4 days ago 678 MB
+```
+
+**Step 4** Validate the installation.