Share Data with Containers
The file system of a container is isolated from its host system by design. To share
data with a container, you can mount folders in the host system to the container using
-v Docker option.
For example, suppose you have a folder on the client machine named
MyFolder. This folder contains the subfolder named
MySubfolder1, which contains a set of image files. The folder
also contains the subfolder
MySubfolder2, where you want to save your
The following option mounts the source folder
MyFolder and its
subfolders to a target folder in the container,
Add this option when you execute the
docker run command.
You can now access and save data within the container in the folder
ContainerFolder. Saved data is available in the host in the
MyFolder. These files persist once the container is stopped.
Note that modifying files from within the container overwrites the files on the
You can mount as many folders to the container as you need using additional
Read and Write Cloud Data on AWS
If the host of the container is a remote machine on AWS®, you can upload your local data to Amazon S3™ S3 buckets and then access them from the remote host, for more information see Creating, configuring, and working with Amazon S3 buckets.
If you have data stored in Amazon S3, you can access it directly from MATLAB®. For more information, see Work with Remote Data (MATLAB).
- MATLAB Container on Docker Hub (Cloud Integrations)
- MATLAB Deep Learning Container on NVIDIA GPU Cloud for Amazon Web Services (Cloud Integrations)