OS with Data Science tools

Last update: May 27 2025

OS with Data Science tools

Data Science Operating System Image is a ready-made operating system image with pre-installed tools for machine learning developers and data analysts.

Install the OS with Data Science tools can be installed on a dedicated server off-the-shelf configuration with GPU.

Preset tools⁠

There are tools pre-installed in the image for Data Science — see their official documentation for more details:

• Python 3.11;
• pip;
• PyTorch;
• TensorFlow;
• JupyterLab;
• Jupyter Notebook;
• Keras;
• scikit-learn;
• NumPy;
• SciPy;
• pandas;
• NLTK;
• OpenCV;
• CatBoost;
• XGBoost;
• LightGBM.

Install an OS with Data Science tools⁠

1. In the Control Panel, on the top menu, click Products and select Dedicated Servers.
2. In the Servers section, open the Server page → Operating System tab.
3. Optional: To securely connect to the server using the encrypted SSH protocol, select a previously downloaded and hosted SSH key or add a new one. For more information, see Create and upload an SSH key to a dedicated server.
4. Optional: enter user data. With user data you can automate the configuration of servers. You can only specify user data for servers without hardware HBAs and RAID controllers.
5. In the Distribution field, select Pre-installed Apps → Data Science (Ubuntu 24.04 LTS).
6. Optional: partition the disks. By default, the optimal RAID type is determined and only partitioned disks and disks in RAID are partitioned.
7. Click Install. The installation may take from 7 to 60 minutes, depending on server performance and the distribution selected. If it takes longer, create a ticket.
8. After OS installation, a password will be generated to connect to the server, which is also used for authorization in JupyterLab.The password can be copied in the control panel: in the top menu, click Products → Dedicated Servers → Server page → Operating System tab → in the Password field, click .The password is available for 24 hours from the start of OS installation or configuration change. If you forget the server password, you can reset and restore it.

Connect to the JupyterLab web interface⁠

1. Open the page in your browser:

   http://<ip_address>

   Specify <ip_address> — public IP address of the server. It can be copied in the control panel: in the top menu click Products → Dedicated Servers → Server page → Operating System tab → in the IP field click .

2. To log in to JupyterLab, enter your server password in the Password field. The password can be copied in the control panel: in the top menu, click Products → Dedicated Servers → Servers → Server → Server page → Operating System tab → in the Password field, click .The password is available for 24 hours from the start of the OS installation or configuration change. If you forget the server password, you can reset and restore it.