Deployments Overview
Within a project, users can access the Deployments section to manage their trained or exported models. This section allows the creation of new deployments and provides a comprehensive overview of current deployments.
Upon entering the page, users will see their account and credit details, along with a chart visualizing the status of their deployments. Deployments can fall under three categories: successful, error, or hibernated. The chart provides a clear breakdown of these statuses.
Below the chart, a table offers detailed information for each deployment, including:
Deployment Name
Status (Deployed / Error / Hibernated)
Optimized (Yes / No)
Runtime
Number of Instances
Auto Shutdown (Enabled / Disabled)
Autoscaling (Enabled / Disabled)
GPU Machine (Yes / No)
Hibernation Threshold
Last Updated
By selecting a deployment from the table, users can either delete or rename the deployment. Once a deployment is selected, a three-dot menu will appear, providing options to perform these actions. Additionally, the table can be sorted, filtered, and exported using the buttons on the top left.