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Workspace is a personal, continuous development environment accessible through Jupyter and SSH. You can request and manage computing resources, including GPUs and configured ports. Within the workspace, you can view metadata, logs, and metrics. Workspaces now support volume integration, allowing you to seamlessly access datasets, code repositories, and storage systems directly within your development environment. You can import data from various sources or mount persistent storage volumes to enhance your interactive development workflow.

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Managing workspaces on the web console

The Workspace tab enables you to find a list of workspaces and view details of each workspace by clicking its name.

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Key features

  • Interactive Development: Access your workspace through JupyterLab and SSH for seamless development experience
  • Resource Management: Configure computing resources including CPUs, GPUs, and memory to match your project needs
  • Volume Integration: Import and mount data from various sources including VESSL Storage, external cloud storage, and code repositories
  • Persistent Storage: The /root directory provides automatic persistence across workspace sessions
  • Custom Environments: Use managed or custom Docker images tailored to your development requirements