Ubuntu Use Cases

Create a Remote Environment using Ubuntu

This use case involves creating a remote environment from Ubuntu template, then connecting via SSH to install the necessary PyTorch library to prepare it for your AI workload.

Step 1: Create a GPU Container using Ubuntu template

• Choose Ubuntu template
• Select SSH Terminal Access and add your public keys

Step 2: Connect your container via SSH

To connect via SSH, copy the command and paste it into your terminal. You can use any terminal application, such as Command Prompt, PowerShell, or the integrated terminal in VS Code. This use case will use VSCode. See our detailed guide here /for a full walkthrough.

Step 3: Setting Up Your Environment

1. Install python3

Copyapt update && apt install -y wget gnupg2 curl software-properties-common 

Copyapt install -y python3 python3-pip python3-venv 

2. Install Pytorch

Copypip install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu124   

Check if pytorch is installed successfully

Copypython 3 

Copyimport torch 

3. Run a matrix algorithm

Copyapt install vim 

Copyvim matrix_mulplication.py 

Copypython3 matrix_mulplication.py