Quick overview of the running jobs queue
Quick overview of the running jobs queue for your organization on the projects page. All team members now have access to a better overview of who's training which model and where the GPU hours are spent. In the case all the GPUs are busy, the new initiated jobs will appear in queued status, and recently completed or paused experiments will be listed as trained experiments.
Note that if you select a specific project in the projects list, you will get to see the actual GPU and storage usage as well as the running jobs queue for this specific project.
You can also always access the running experiments queue from the upper right corner jobs queue button. This comes especially handy when busy working on a big experiment, and you want to quickly be able to check the status for your other models which are currently being trained.