Launch a dev environment
Start a JupyterLab or VS Code Server environment in Developer Workspace.
A dev environment is a running server with your chosen IDE, compute resources, and storage volumes attached. Each dev environment runs independently and persists your home directory between sessions.
Before you start
You need access to Developer Workspace. If you cannot see Notebooks in the left sidebar, contact your workspace administrator.
Create a dev environment
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Select Notebooks in the left sidebar.
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Select + New Notebook in the top-right corner.
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Enter a Name for your dev environment. Use lowercase letters, numbers, and hyphens only.
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Choose an IDE from the IDE type dropdown. See Choose an IDE for guidance.
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Select a base image from the Custom Notebook dropdown (for example,
jupyterlab:python3.12). -
Set Minimum CPU and Minimum Memory Gi to match your workload. See Configure a dev environment for sizing guidance.
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Expand Advanced Options if you need GPU access, and set the number of GPUs and vendor.
GPU hardware required
GPUs are only available if your BullSequana AI installation includes GPU-enabled hardware. Contact your workspace administrator if this option is missing.
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Review the Workspace Volume section. A 5 Gi home directory volume is created automatically. Adjust the size if needed.
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Select LAUNCH.
Wait for the dev environment to start
After launching, your dev environment appears in the list with a spinning indicator. Starting typically takes one to two minutes.
When the status changes to a green check mark, the dev environment is ready.
Connect to your dev environment
Select CONNECT next to your dev environment. Your IDE opens in a new browser tab.
Your home directory is mounted automatically. Any files you save there persist between sessions.