Run Jupyter Notebook on a Cloud GPU

runcrate instances create --name jupyter --gpu RTX4090 --template ubuntu-devbox
runcrate instances status jupyter

runcrate ssh jupyter -- "pip install jupyterlab ipywidgets"

runcrate ssh jupyter -- "nohup jupyter lab \
  --ip=0.0.0.0 --port=8888 --no-browser --allow-root \
  --NotebookApp.token='' --NotebookApp.password='' \
  > /root/jupyter.log 2>&1 &"

runcrate instances info jupyter

import torch
print(f"CUDA: {torch.cuda.is_available()}")
print(f"GPU: {torch.cuda.get_device_name(0)}")
print(f"VRAM: {torch.cuda.get_device_properties(0).total_mem / 1e9:.1f} GB")

runcrate volumes create --name notebooks --size 50
runcrate instances create --name jupyter --gpu RTX4090 --template ubuntu-devbox --storage notebooks

runcrate cp ./dataset.csv jupyter:/workspace/
runcrate cp ./my_notebook.ipynb jupyter:/workspace/

runcrate ssh jupyter -- "pip install pandas scikit-learn matplotlib transformers"

runcrate instances delete jupyter