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49 lines
2.6 KiB
Markdown
49 lines
2.6 KiB
Markdown
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---
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title: Jupyter Lab
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---
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:::important Enterprise Feature
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The Jupyter Lab application is available under the ClearML Enterprise plan
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:::
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The Jupyter Lab UI application allows you to launch a remote Jupyter Lab session on a machine that better meets resource needs.
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This feature provides a local link to access Jupyter Lab on a remote machine over a secure and encrypted SSH connection,
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letting you use the IDE as if you're running on the target machine itself.
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The Jupyter Lab session is set up using a [ClearML Agent](../../clearml_agent.md). When configuring an app instance,
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select a queue, and the agent servicing that queue will download and launch the IDE on its machine. When the server
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setup is complete, the dashboard displays a link to access the Jupyter Lab session.
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Once you have launched an app instance, you can view the following information in its dashboard:
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* App status indicator
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* <img src="/docs/latest/icons/ico-jupyter-lab-loading.svg" alt="Jupyter loading" className="icon size-md" /> - Remote IDE is setting up
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* <img src="/docs/latest/icons/ico-jupyter-lab-active.svg" alt="Jupyter active" className="icon size-md" /> - Remote IDE is active
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* <img src="/docs/latest/icons/ico-jupyter-lab-idle.svg" alt="Jupyter idle" className="icon size-md" /> - Remote IDE is idle
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* <img src="/docs/latest/icons/ico-jupyter-lab-stopped.svg" alt="Jupyter stopped" className="icon size-md" /> - Remote IDE is stopped
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* Open IDE - link to the IDE session
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* Idle time
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* Server's resources monitoring (CPU / GPU / vMem utilization)
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* Console - The console log shows the instance's activity, including server setup progress, server status changes
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## Extra Python packages to be installedApp Instance Configuration
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* **Git** - To access a git repository remotely, add git information.
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* Repository
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* Branch
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* Commit
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* **Docker**
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* Image - Docker image used to run the IDE in
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* Docker arguments - `docker run` arguments, as a single string
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* **Extra Packages** - Extra Python packages to be installed
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* **Queue** - The queue serviced by the ClearML Agent that will execute the Jupyter Lab session
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* **Maximum idle time** (hours) - Maximum time of inactivity, after which the session will shut down. Configure idleness
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definitions under `Advanced Options`.
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* **Advanced Options**
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* Idle Network Threshold (MB/s) - Throughput under which the session will be considered idle
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* Idle CPU Threshold (%) - CPU utilization under which the session will be considered idle
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* Idle GPU Threshold (%) - GPU utilization under which the session will be considered idle
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