About privatellm.au
The practical Australian operator’s manual for private and local LLMs. Decision trees for hardware, models and use-cases. Honest about when local is better — and when it isn’t. Your data. Your hardware. Your control.
Mission
Help Australian individuals and businesses decide intelligently about private AI, set up correctly on real hardware, and understand exactly when local models are — and are not — the right tool. Visitor usefulness first; ethical monetisation second.
Who operates this site
Published by Ian Piggott under Farming Domains (ABN 66 786 225 704). Contact: contact page · ianpiggott.com. ABN appears on this page and on Privacy / Terms — not in the site-wide footer.
Accuracy posture: guides are educational and may lag official docs. See Disclaimer before relying on any technical or commercial claim.
How this site is maintained
Ian directs the pages. Grok Build is a writing and editing helper, not the publisher and not a model running on your prompts. Guides are re-checked when the open-weight landscape moves. The stamp on this page is the review date, not a promise that every card is current tomorrow.
Not privatellm.app
privatellm.au is this independent Australian guide. privatellm.app is an unrelated on-device chat app. Other “PrivateLLM” products are unrelated. We are not partners of any of them.
Independence & editorial stance
Independent educational resource. Not affiliated with Meta, Alibaba, Mistral, Google, Microsoft, OpenAI, Anthropic, xAI, NVIDIA, Apple, Ollama, LM Studio, or any model, tool or hardware maker. privatellm.app and other “PrivateLLM” products are unrelated.
We prefer decision trees, comparison tables, and honest exit ramps over hype. Model rankings and hardware notes carry visible “Last verified” dates because the open-weight landscape moves quickly.
How we monetise
- Hardware affiliate links (Amazon AU primary when enrolled; AU retailers secondary)
- Business interest / expert contact for high-intent enquiries
- Future: email list tips; display ads only after content depth justifies it
See affiliate disclosure for ACCC/ACL-aligned wording.
Related portfolio sites
- vibecoding.au — Application layer — how you build with AI tools (v1.3.1). A private LLM is where inference can live. Not a Meet Grok clone of that site.
- Farming Domains — Portfolio home for Australian practical guides.