# Ubuntu Use Case

**Step 1**: Create a GPU Container using Ubuntu template 

* Choose Ubuntu template 
* Select SSH Terminal Access 

<figure><img src="/files/xaZMZAEFzV3b6ZkOoz8A" alt=""><figcaption></figcaption></figure>

&#x20;

**Step 2**: Connect your container via SSH by using VSCode&#x20;

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. &#x20;

<figure><img src="/files/VUgCPeiMc5YAFc8Pp4Kf" alt=""><figcaption></figcaption></figure>

See our detailed guide here for a full walkthrough.&#x20;

**Step 3**: Setting Up Your Environment&#x20;

1. Install python3&#x20;

```
apt update && apt install -y wget gnupg2 curl software-properties-common 
apt install -y python3 python3-pip python3-venv 
```

2. Install Pytorch&#x20;

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

Check if pytorch is installed successfully&#x20;

<pre><code><strong>python 3 
</strong>import torch 
</code></pre>

3. Run a simple matrix algorithm&#x20;

```
apt install vim 
vim matrix_mulplication.py 
python3 matrix_mulplication.py
```


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