As an engineer,
I want to establish a way to work with the GPU on the experimental staging to enable ease of experimentation without going through our CI/CD pipelines. Now that we have permissions to edit/delete/attach to pods on ml-staging this is possible.
Examples of such work include:
- Attach to a pod and change some code and then measure if it improved our response times
- Change resources (memory/cpu) on the pod