Guides

Technical learning content, from running your first model to fine-tuning. Ten topics, ordered roughly by progression but designed to be entered at any point.

Getting Started What local AI is, why it matters, and how to run your first model. 1 guide
Hardware GPUs, unified memory, VRAM, and what you actually need for what you want to do. Guides coming soon
Running Models Quantisation, inference engines, model formats, and getting good performance. 1 guide
Local AI Coding Code assistants, autocomplete, and agentic coding tools that run on your machine. Guides coming soon
RAG & Knowledge Systems Building retrieval systems over your own documents, entirely locally. Guides coming soon
Agentic AI & Harnesses Tool use, agent frameworks, and orchestration with local models. Guides coming soon
Fine-Tuning Adapting models to your domain: LoRA, QLoRA, full fine-tunes, and when each is worth it. Guides coming soon
Beyond LLMs Image generation, speech recognition, text-to-speech, and other local models. Guides coming soon
Server & Enterprise Running local AI at organisational scale: serving, scaling, and multi-user access. Guides coming soon
Sovereignty & Compliance Data residency, GDPR, the EU AI Act, and the practical case for keeping data in-house. Guides coming soon