Overview

Remote Mode allows you to run the Voicebox backend on a separate machine (like a GPU server) while using the desktop app on your local machine.

Use Cases

• No local GPU - Use a cloud GPU or remote workstation
• Faster generation - Leverage powerful remote hardware
• Shared infrastructure - Multiple users connect to one server
• Laptop workflows - Keep your laptop cool and battery-efficient

Architecture

In Remote Mode, the Voicebox desktop app (running on your local machine) communicates with the backend server (running on a remote machine) via HTTP. The local app provides only the user interface, while the remote server handles all the heavy processing including the TTS models, API endpoints, and audio generation.

Setting Up Remote Mode

On the Server

# Clone the repo
git clone https://github.com/jamiepine/voicebox.git
cd voicebox/backend

Install Python dependencies
pip install -r requirements.txt
Engines with incompatible transitive pins — install with --no-deps
pip install --no-deps chatterbox-tts
pip install --no-deps hume-tada
Qwen3-TTS from source
pip install git+https://github.com/QwenLM/Qwen3-TTS.git

# Allow external connections
uvicorn main:app --host 0.0.0.0 --port 17493

# Ubuntu/Debian
sudo ufw allow 17493

Or use your cloud provider's firewall settings

On the Client

http://<server-ip>:17493

Cloud Deployment

AWS EC2

# Launch a GPU instance (e.g., g4dn.xlarge)
# Install dependencies
# Start server with --host 0.0.0.0

Vast.ai

# Rent a GPU instance
# SSH in and clone repo
# Start server

RunPod

# Deploy a pod with CUDA support
# Install Voicebox backend
# Expose port 17493

Security Considerations

Best Practices:

• Use a VPN (WireGuard, Tailscale) instead of exposing to the internet
• Run behind a reverse proxy with authentication (nginx + basic auth)
• Use HTTPS with SSL certificates
• Firewall rules to limit access to specific IPs

Performance

Expected performance on various GPUs:

Troubleshooting

See the Troubleshooting Guide for common issues.