runai-bgu list Manual
Introduction
runai-bgu list is a command-line interface (CLI) for listing workloads on the BGU HPC cluster.
This command provides an overview of all your workloads including both workspace and training jobs. The command automatically shows workloads from your default project unless specified otherwise, and supports various filtering and output formatting options.
This manual explains how to use runai-bgu list to view and manage your workloads.
Quick Start
To list all your workloads, use:
$ runai-bgu list
Lists all workloads in your default project.
Basic Usage
List All Workloads
Show all workloads in your default project:
$ runai-bgu list
Displays all workspace and training workloads in your default project with basic information like name, status, and creation time.
List Workloads from All Projects
Show workloads from all projects you have access to:
$ runai-bgu list -A
The -A flag lists workloads from all projects, not just your default project.
Filter by Status
Show only workloads with a specific status:
$ runai-bgu list --status Running
Filters to show only workloads that are currently in "Running" status.
Output Formats
JSON Output
Get workload information in JSON format for programmatic use:
$ runai-bgu list --json
Outputs the workload list in structured JSON format, useful for scripts and automation.
Understanding the Output
The list command provides essential information about your workloads:
- Name
-
The unique identifier for each workload.
- Type
-
Whether it’s a workspace (interactive) or training (batch) workload.
- Status
-
Current state of the workload (Running, Pending, Completed, Failed, etc.).
- Project
-
The project the workload belongs to.
- Age
-
How long ago the workload was created.
- Resources
-
Summary of allocated CPU, memory, and GPU resources.