Jupyter Access on CCI
Skip the SSH — run notebooks, manage files, open terminals straight from the browser
CCI ships with built-in Jupyter — no manual install. Once the container is up, click once and you have a browser-based workspace equivalent to a logged-in container shell.
Prerequisites
- A CCI instance in Running state
- Image from the
alayanew/jupyter-*family (PyTorch / TensorFlow / generic)
Steps
- Sign in to the console → Products → Compute → Cloud Container Instance
- Click "Container management"; pick the target compute region in the upper right
- In "Container list", locate the instance and click the Jupyter icon on the right
- A new tab opens — Jupyter workspace with file tree on the left, editor / notebook on the right
File management
The file manager supports:
- Drag-and-drop upload / download
- Create folder, file, notebook
- Rename, delete, move
- Toggle hidden files (
.bashrc,.config)
Notebooks
New notebook: top-left "+" → choose kernel (Python 3 / PyTorch / Custom).
import torch
print('CUDA available:', torch.cuda.is_available())
print('GPU count:', torch.cuda.device_count())
print('Device name:', torch.cuda.get_device_name(0))Terminal
Workspace menu "Other → Terminal" opens a browser-streamed terminal — equivalent to running bash inside the container:
nvidia-smi
pip install transformers
git clone https://github.com/your/repo.gitTerminal vs SSH
Jupyter's built-in terminal is a streaming protocol — no SSH keys involved. It's great for ad-hoc debugging. For remote IDE workflows use SSH.
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