Alaya NeW Cloud

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

  1. Sign in to the console → Products → Compute → Cloud Container Instance
  2. Click "Container management"; pick the target compute region in the upper right
  3. In "Container list", locate the instance and click the Jupyter icon on the right
  4. 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.git

Terminal 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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