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This document captures the things that would be needed to make requirements for making AI actions a first-class citizen in Openwhisk. The main ideas captured here bellow are inspired by from the work done to run in running deep learning inferences on images and videos.

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The volume my-action-volume is  can be mounted inside each container on: /mnt/ow-tmp/my-action-volume. 

TBD When the The volume should be removed once the prewarmed actions are destroyed. 

Open questions:

Should the developers specify a size for the volume, or assume a default for each volume ? 

Cluster cache

Provide developers with a caching solution in the cluster. Developers would still pass larger assets by reference between actions, they would still write code to upload or download an asset, but use a cache provided by OpenWhisk, inside the cluster. The cache can be exposed through the Openwhisk SDK through 2 methods: write(asset_name, asset_value), read(asset_name).

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