Run AI on your own hardware. No cloud. No subscriptions. No data leaks.
Local AI is the definitive guide to self-hosting large language models and AI services at home. Whether you have a gaming PC with a GPU, a mini PC, or a dedicated server, this book shows you how to download, run, and interact with powerful AI models entirely on your own hardware — keeping your conversations, documents, and data completely private.
What This Book Covers
- What Is Local AI — How running models on your own hardware differs from cloud services and why it matters
- Hardware Requirements — GPUs, RAM, storage, and realistic performance expectations for different setups
- Popular Open-Source Models — Llama, Mistral, Qwen, DeepSeek, and other models you can run today
- Installation and Setup — Ollama, LM Studio, text-generation-webui, and other beginner-friendly tools
- Interacting with Models — Chat interfaces, API access, and integrating local AI into your workflows
- Customization — System prompts, model parameters, and fine-tuning behavior without retraining
- Advanced Setups — Multi-model management, streaming, batch processing, and automation
- Performance Optimization — Quantization, context windows, and getting the most from your hardware
- Privacy and Security — Verifying your data stays local and securing your AI server
Who This Book Is For
- Privacy advocates who refuse to send their data to cloud AI providers
- Developers who want AI integration without API costs or rate limits
- Researchers and professionals handling sensitive information
- AI enthusiasts who want to experiment with models directly
- Anyone curious about what AI can do on consumer hardware
What Makes This Book Different
- Privacy guarantee — Every setup keeps your data on your hardware
- Hardware-realistic — Tested on common consumer GPUs and even CPU-only setups
- Model-agnostic — Covers multiple popular models and frameworks
- Practical integration — Connect local AI to editors, browsers, and automation tools
- Cost-transparent — No hidden subscription fees; open-source tools throughout
Release Status
This book is currently in development. This page will be updated with the cover, table of contents, and purchase links once it is available.
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Related Titles
Other titles in the Smart Tech for Real People series:
- Personal AI Assistants — Using local AI for writing, research, and productivity
- AI Tools for Everyday Life — Broader look at AI services and cloud tools
- The Modern Homelab — Build the hardware foundation for self-hosted AI
See the full Smart Tech for Real People series →
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