๐ SSH Access Guide
Connect to your GPU instance in 3 simple steps.
Choose your operating system below.
Download cloudflared for Windows
Download the cloudflared client โ a small tool that creates a secure tunnel to your GPU instance.
โฌ Download cloudflared.execloudflared.exe in your Downloads folder or C:\Windows\System32 for easy access.Open PowerShell or Command Prompt
Press Win + X and select Windows PowerShell or Terminal.
Connect to your GPU instance
Replace gpu52 with your instance username shown on the instances page.
gpu123 โ type it when prompted and press Enter.๐ File Transfer Guide
Upload scripts, datasets and download results from your GPU instance
Upload a file to your GPU instance
Open PowerShell and use scp with cloudflared to upload files from your PC to the GPU.
C:\Users\YourName\script.py with your actual file path and {ID} with your instance number. Password: gpu123Upload an entire folder
Use scp -r to upload a whole project folder recursively.
Download results back to your PC
After training or processing, download outputs from your GPU instance back to your Windows PC.
Use VS Code Remote SSH (recommended)
The easiest way to work on your GPU instance from Windows โ edit files, run code, and drag-drop files all from VS Code.
1. Install VS Code and the Remote SSH extension
2. Add this to your SSH config file C:\Users\YourName\.ssh\config:
3. In VS Code press Ctrl+Shift+P โ Remote-SSH: Connect to Host โ select gpu-instance
๐ก Pro Tips
Install packages inside SSH
pip install torch transformers
Run script in background
nohup python3 train.py & disown
Check GPU usage
nvidia-smi
Clone from GitHub
git clone https://github.com/you/repo
Keep session alive
tmux new -s training
Check disk space
df -h