Spell - Jupyter Notebook Server - GPU Powered

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Collaborative Jupyter Notebook or JupyterLab workspace server with powerful GPUs

The Spell Notebook Server contains your Jupyter Notebook or JupyterLab workspace, that can be powered by your selection of powerful CPUs or GPUs. The files and directories we added in the Creating a Workspace in the CLI step are all included in our JupyterLabs file system. The Edit Workspace page allows you to add or remove dependencies, mount files, and change the machine type, framework, and name of your Workspace. The only selection from the Create Workspace flow that you are not able to change is how your Workspace was initialized (empty or with code from a GitHub repository). Team members can view, edit, and restart each other's stopped workspaces.

Learn more at spell.run


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Spell
  • Deep Learning
  • 3 Products
  • 1 Case Study

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