Capsule Settings

To open the Capsule Settings, double click on a capsule or hover over a capsule and click the gear icon.

At the top of the Capsule Settings view the capsule’s description by hovering over the information icon. Open the capsule by clicking Go to this capsule.

Compute Resources

Under the resources section of the capsule settings you can adjust the compute resources that are allocated to your capsule. Each capsule in the pipeline can be allocated a maximum of 192 cores and 4096GB RAM.

All pipelines run on dedicated machines. Pipelines can be configured to run on spot instances by your Administrator. More information on dedicated machines and spot instances can be found at Dedicated Machines.

GPU resources are currently not available in pipelines. This feature will be added in an upcoming release.

Capsule Storage and Size Limitations

During the pipeline run, capsule disk space is Elastic Block Store (EBS). With the implementation of autoscaling EBS volumes, capsules can work with files of virtually any size as disk space will scale with the size of files that are written to it.

Arguments must be separated by spaces. If an argument includes a space, such as the title of a plot, it should be in quotes.

Arguments

Supplying run script arguments in a pipeline capsule will replace the arguments that are supplied by that capsule’s App Panel. This is a way to customize the inputs to the pipeline capsule without making any changes to the original capsule. Refer to App Panel for more information on how to create an an App Panel.

Additional Note: Git Installation

For a capsule to run successfully in a pipeline, git must be installed. This is dependent on the starter image that is used for each pipeline. If not installed, include it as a package in the capsule's environment editor. A good indication is that if the conda package manager isn’t installed, neither is git.