> ## Documentation Index > Fetch the complete documentation index at: https://docs.gmicloud.ai/llms.txt > Use this file to discover all available pages before exploring further. # Tasks Tasks are designed to create dedicated endpoints for the provided official models or for custom models derived from the artifacts you have built. ## View Tasks 1. Click "Resources Overview" in the upper right corner of the menu. image-20250320142338452 2. Click on "Tasks" in the left-hand menu.You can view tasks dashboard. image-20250320142756262 * **Name**: Task name. * **Artifact**: Task created from which artifact. * **Spec**: One replica required resources specification. * **Access**: Service - dedicated endpoint URL ​ Dashboard - monitor task deployment * **Schedule**: Task's scheduling, One-off or daily. * **Created**: Task created time * **Status**:\ ​ Idle - The task is not currently running and is waiting for execution. No resources are being used. ​ In-queue - The task is waiting in line to be executed. ​ Starting - The task is in the process of initializing. Resources are being allocated, and the task is preparing to run. ​ Running - The task is currently executing. Resources are actively being used to perform the task. ​ Need Stop - The task is about to be terminated. * **Actions**: Click button image-20250320144748075 to deactive the running task. ​ Click button image-20250320145006225 to active the idle task. ​ Click Edit menu to edit the task. ​ Click Archive menu to archive the task. ​ image-20250320145128252 4. Click the status tab to review the tasks corresponding to each status. image-20250320145346198 ## Launch Tasks 1. Click "Launch Task" button to launch task for provided models or customized artifacts. 2. Setting resource The resource cannot be edited; click the "Next" button. image-20250319164015889 3. Setting and scheduling **Task Name**: Define task name. **File Path**: Specify the script file name to be executed in the Docker image(without the file extension). Fox example, if the image includes a script named serve.py, enter serve here. **Deployment Name**: Specify the deployment name that will be exposed to the Ray cluster by the script. For example, you can use app as the deployment name. **Type**: One-off or Daily ​ One-off - The task runs once as scheduled time. ​ Daily - The task runs at the first scheduled time and can update replica numbers at subsequent daily scheduled times. This option is designed for recurring, predictable workloads where scaling needs follow a consistent daily pattern. **Timezone**: Select the timezone for scheduling. **Time**: Select the time for scheduling. **Replicas**: Select the Min replicas and Max replicas for schedule. image-20250319164338359 image-20250319165448700 4. Summary Review the information in the summary page. After confirmation, click the "Launch" button to launch task. image-20250320145850395 5. Active the Task In the task list, locate the task and then click button image-20250320145006225 to active the idle task.