Getting Started with Trailer.dev

Welcome to Trailer.dev, a modern ML development platform that helps you manage ML development workspaces and container resources efficiently.

Quick Start

1. Pull the standalone container:

docker pull ghcr.io/trailer-dev/trailer:latest

2. Start in standalone mode:

docker run -d \
  -p 8090:8090 \
  -v /var/run/docker.sock:/var/run/docker.sock \
  --gpus all \
  ghcr.io/trailer-dev/trailer:latest

3. Access the web interface at http://localhost:8090

Next Steps

• Installation Guide - Detailed installation instructions
• Quick Start Guide - Create your first ML workspace
• Architecture Overview - Understand how Trailer.dev works
• Configuration Guide - Configure your deployment

Key Features

• ML-First Development

  • Optimized for ML workflows
  • GPU support out of the box
  • Data versioning

• Container Management

  • Docker integration
  • Kubernetes support
  • Resource isolation
  • Environment consistency

System Requirements

• Docker 20.10 or later
• NVIDIA GPU with CUDA support (optional)
• RAM: <100 MB for the container
• Storage: 30-60 MB for the container
• Additional resources required based on your ML workloads

Support

• Documentation
• Contact Support