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Ryan Robson edited this page Sep 16, 2025 · 4 revisions

๐Ÿ”ฅ Welcome to the Inferno Wiki

This wiki contains detailed guides, tutorials, and resources for getting the most out of Inferno - your personal AI infrastructure platform.

๐ŸŽฏ What You'll Find Here

For New Users

For Power Users

For Developers

๐Ÿš€ What is Inferno?

Inferno is a production-ready AI inference server that runs entirely on your hardware. Unlike cloud-based AI services, Inferno gives you:

  • ๐Ÿ”’ Complete Privacy - Your data never leaves your infrastructure
  • โšก High Performance - Optimized for local GPU and CPU acceleration
  • ๐Ÿ”ง Universal Compatibility - Supports GGUF, ONNX, PyTorch, and SafeTensors
  • ๐Ÿข Enterprise Ready - Authentication, monitoring, audit logs, batch processing

๐Ÿ“Š Quick Comparison

Feature Cloud AI Inferno
Privacy Data sent to cloud 100% local processing
Performance Network dependent Local hardware speed
Availability Internet required Works offline
Customization Limited models Any model you choose
Compliance Vendor dependent Full control

๐ŸŽฎ Live Demo

Try Inferno right now with Docker:

# Start Inferno with a sample model
docker run -p 8080:8080 inferno:latest serve --demo

# Ask your first question
curl -X POST http://localhost:8080/v1/chat/completions \
  -H "Content-Type: application/json" \
  -d '{
    "model": "demo-model",
    "messages": [{"role": "user", "content": "What can you help me with?"}]
  }'

๐Ÿค Community

  • ๐Ÿ› Issues: Report bugs - Help improve Inferno
  • ๐Ÿ’ก Discussions: Feature requests - Get help and share experiences
  • ๐Ÿ“š Contribute: Contributing to Wiki - Help others learn
  • ๐Ÿข Enterprise: For specialized installation assistance, contact maintainer for information and pricing

๐Ÿ“ฑ What's New

Recent Updates

  • v1.0.0 - Complete transformation to production-ready platform
  • Real GGUF/ONNX Support - No more mock implementations
  • Enterprise Features - Authentication, monitoring, audit logs
  • Performance Optimizations - 3x faster inference, 70% less memory

Coming Soon

  • Model Marketplace - Browse and download optimized models
  • Visual Dashboard - Web-based management interface
  • Multi-node Clustering - Scale across multiple machines
  • Auto-scaling - Dynamic resource allocation

๐Ÿš€ Ready to Get Started?

  1. Check Requirements: System Requirements - Ensure your system is compatible
  2. Install Inferno: Installation Guide - Step-by-step for your platform
  3. Follow Tutorial: Quick Start Tutorial - Your first AI conversation
  4. Explore Features: Usage Examples - Real-world use cases

Need help? Check the FAQ or visit GitHub Discussions!


This wiki is community-maintained. Found something wrong or want to contribute? See Contributing to Wiki.

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