This allows you to run experiments requiring bare metal access, storage, memory, GPU and compute that exceeds the abilities of Colab's hosted runtime, but with Colab's familiar interface (and notebooks stored in your Google Drive). It also allows you to easily go back and forth between the convenience of Colab's hosted runtime and Chameleon or CloudLab's greater capabilities, as you develop your experiment.
Also available at: https://github.com/teaching-on-testbeds/colab
Launching this artifact will open it within Chameleon’s shared Jupyter experiment environment, which is accessible to all Chameleon users with an active allocation.Request daypass
If you do not have an active Chameleon allocation, or would prefer to not use your allocation, you can request a temporary one from the PI of the project this artifact belongs to.Download Archive
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git clone https://github.com/teaching-on-testbeds/colab # cd into the created directory git checkout 7ad5180554b4a18facc549d71eec7e8069492c67
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