Private AI & Local LLM Hosting in Perth
Discover
Map goals, users, constraints, existing systems, and the business case before scope locks in.
Design
Shape the architecture, delivery plan, risk register, and success measures around your operating reality.
Build
Ship focused increments with working demos, testing, accessibility checks, and security review.
Support
Monitor, maintain, document, and improve the platform so your team can rely on it long term.
Nano Solutions runs private AI for Australian businesses and government — self-hosted local large language models on infrastructure you own, with Australian data sovereignty and no data sent to third parties. Designed, deployed and managed by Fremantle-based engineers since 2013. A WA Government CUAICTS2021 ICT panel supplier (Contractor #225).
What private AI is
Private AI means running AI models — typically open-weight large language models — on infrastructure you control, rather than sending your data to a third-party AI provider. Your prompts, documents and outputs never leave your environment. It's the data-sovereign alternative for organisations that can't, or shouldn't, send sensitive data to a foreign cloud.
Local LLMs, on your own servers
A local LLM is a large language model that runs on your own servers instead of a cloud API. Modern open-weight models run on a single GPU server and handle chat, document Q&A, summarisation and retrieval over your own data — with no per-token fees and no data leaving your control. We size the hardware, deploy and tune the models, and run the stack.
Why host AI privately
- Data sovereignty — sensitive government, health and legal data stays on Australian infrastructure you own.
- Confidentiality — prompts and records are never sent to a third-party model provider.
- Predictable cost — no per-token pricing surprises as usage grows.
- Independence — you're not locked to a single AI vendor's roadmap or pricing.
Grounded in your own documents
Using retrieval-augmented generation (RAG), a local LLM can answer from your own documents, policies and records while keeping everything on your infrastructure. We build and maintain the retrieval pipeline so answers stay grounded and current — the same AI integration work, run privately.
Built and run by one team
We size and build the infrastructure (on-premise or Australian private cloud), deploy the models, connect them to your data, and run the whole stack as part of our managed Linux service — monitoring, patching and backups, hardened with Ansible.
Frequently Asked Questions
What is private AI?
Private AI means running AI models — typically open-weight large language models — on infrastructure you control, rather than sending your data to a third-party AI provider. Your prompts, documents and outputs never leave your environment, which is essential where data sovereignty, confidentiality or compliance matter.
What is a local LLM?
A local LLM is a large language model that runs on your own servers instead of a cloud API. Modern open-weight models can run on a single GPU server and handle chat, document Q&A, summarisation and retrieval over your own data — with no per-token fees and no data leaving your control.
Why host AI privately instead of using a cloud API?
Data sovereignty and confidentiality, predictable cost, and control. Sensitive government, health and legal data often cannot be sent to a foreign cloud; private AI keeps it on Australian infrastructure you own. You also avoid per-token pricing surprises and remain independent of any single provider.
What does Nano provide for private AI?
We size and build the infrastructure (on-premise or Australian private cloud), deploy and tune open-weight models, connect them to your data with retrieval pipelines, and run the whole stack — monitoring, patching, backups — as part of our managed Linux service.
Can a local LLM use our own documents?
Yes — using retrieval-augmented generation (RAG), a local LLM can answer from your own documents, policies and records while keeping everything on your infrastructure. We build and maintain the retrieval pipeline so answers stay grounded and current.
How much does private AI hosting cost?
It depends on the model size and workload, which drive the hardware required. Managed hosting starts from around $1,500/month on top of the infrastructure; we start with a free 30-minute scoping call and a sizing recommendation before any commitment.
Have a question that's not listed here? We're happy to help.
Ask Us AnythingFurther Reading
- AI integration services — connect models into the systems you run.
- Managed Linux infrastructure — the infrastructure private AI runs on.
- AI consulting & automation — where AI genuinely creates value.
Last reviewed: July 2026
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