Private AI Infrastructure: Self-Hosting Handbook — Local LLM Stack, Private RAG & Secure Remote Access (47-Page Instant PDF Download)

Your AI. Your hardware. Your data — staying exactly where it is.

Every prompt you send to a cloud AI service leaves your machine, crosses the internet, and lands on someone else's infrastructure, governed by someone else's retention policy. For a growing number of developers, professionals and small teams, that trade-off has stopped being acceptable — for client confidentiality, for regulatory caution, or simply on principle.

Private AI Infrastructure: Self-Hosting Handbook is a 47-page technical guide to running capable language models on hardware you control: choosing and sizing the machine, standing up a local inference stack, putting a real interface on it, hardening the network around it, reaching it securely from anywhere, and keeping the whole thing maintained, backed up and recoverable.

Part of the Local Systems Series. Technical Edition 2026.

What you get

• A 47-page illustrated technical PDF — 20 chapters, structured as an operator's handbook, not a think-piece
• A privacy-first architecture and a practical threat-modelling chapter — decide what you're actually protecting against before you build
• Hardware sizing without guesswork — matching memory, GPU and storage to the models you intend to run
• Model operations — formats, quantization, and what model licences do and don't allow
• Two inference paths, explained honestly — the fast path with Ollama, and the lower-level path with llama.cpp for when you need the control
• A user layer with Open WebUI — multi-user access and governance on top of your stack
• A reference Docker Compose deployment — repeatable, rebuildable, documented
• Network hardening and private remote access — reach your server from anywhere without opening it to the internet
• Identity, secrets and multi-user isolation — access control that survives real households and small teams
• Local RAG — querying your own documents without unplanned cloud calls
• Backups, logs and retention · performance tuning that matters · maintenance, updates and rollback
• A diagnose-by-layer troubleshooting runbook and a security baseline checklist to review before you rely on the system
• Deployment blueprints and pointers to every official source used

Who it's for

Developers and technically-minded professionals who want AI capability without the data leaving the building; homelab owners ready to give their hardware a serious job; consultants and small teams handling confidential material; and anyone who has typed something into a cloud chatbot and then wondered where it went. Comfortable-with-a-terminal is the assumed skill level — the handbook explains its concepts, but it is a technical guide, not an introduction to computers.

What it is not

This is a guide, not software, hardware, or a subscription — nothing ships and no accounts are included. It is not affiliated with, endorsed by or produced by the open-source projects it covers (including Ollama, llama.cpp and Open WebUI) or any hardware vendor; those names are used to describe what the handbook teaches. It does not promise any particular model performance — what your hardware achieves depends on your hardware.

Important note

Self-hosted AI is a fast-moving field. The tools, commands and interfaces described were current at publication, and the handbook deliberately teaches the underlying structure — architecture, security posture, operations — that outlasts version changes, alongside a chapter of official sources to check for what has moved. Security guidance reduces exposure; no guide can guarantee any system is immune to compromise. You remain responsible for your own deployment, your data, and compliance with the laws and licence terms that apply to you.

Refunds and your rights

This is an instant digital download. At checkout you confirm that you want the download to begin immediately and that, in doing so, you give up the 14-day right to withdraw that would otherwise apply to EU and UK consumers. Because the file is delivered the moment you pay and cannot be returned, we do not refund for change of mind.

What we do guarantee: if the file will not download, will not open, arrives corrupted, or is materially not what this page describes, email us within 14 days of purchase and we will fix it or refund you in full. A real person reads that inbox. Nothing in this policy limits any rights you have under the consumer law where you live, including the Australian Consumer Law.

Format and delivery

• 47-page illustrated PDF, 6.0 MB
• Instant download after payment — link on the confirmation page and by email
• Read on phone, tablet or laptop; print any chapter; commands and configuration snippets are selectable text you can copy straight out of the PDF
• Personal single-user licence — see our Terms of Service; email us about multi-seat licences for teams

Questions before you buy? Email support@chartroompress.com and ask. We would rather answer than have you buy the wrong thing.