On-Premise & Private LLM Deployment
The AI runs on machines you own, so no client file ever leaves the building and there is no bill that grows with every question asked. Your own team can restart it, update it and swap the model without calling us.
- Price
- from $8,000
- Time to live
- 3-4 weeks
What it does
- 01You pay for the hardware and the electricity, never per question
- 02Nothing leaves your network, by construction rather than by promise
- 03Sized to the hardware you can afford, tested on your own tasks first
- 04Taught on your documents and procedures where reading them is not enough
- 05Your team restarts, updates and swaps models from a written guide
- 06An open model runs on your servers, with logged access to your databases and tools
What ships in the first two weeks
- Week 1: your hardware audited, a shortlist of models tested on your own questions
- Weeks 2-3: the model installed, tuned and wired to the first internal tool
- Week 4: a written guide, monitoring and a handover session with your team
Every delivery ends with the code in your accounts, a guide your team can follow and three months of fixes. Scope and price are fixed in writing before we start.
Questions
01Is an open model good enough?
For most document, support and internal-tool tasks, yes, once it is grounded in your data and evaluated on your questions. We benchmark the shortlist on your evaluation set before committing hardware, and we say so if a public API would be the better call.
02What hardware do we need?
It depends on the model size and the load. A single GPU server covers many mid-size teams; we size it from your expected requests per day rather than from a vendor's spec sheet.
03How does this help with the EU AI Act and GDPR?
Data never leaves your network, every request is logged on your side and there is no third-party processor to paper. It does not remove your obligations under the AI Act, but it removes the hardest ones about data transfers and sub-processors.
04Who maintains it after launch?
Your ops team, with the runbook we hand over: restart, update, swap models. We stay on the line for fixes for three months, and there is an ongoing program if you want us to keep iterating.
05How much does a private LLM cost and how long does it take?
From $8,000 fixed for the deployment, 3-4 weeks from the first call to a model running on your hardware or in your cloud account, with a runbook for your ops team. The server itself is bought by you. A single GPU server is enough for most document and support workloads of a small company.
06Who should choose a private model over a cloud API?
Companies whose data cannot leave the network. Legal, medical, financial and HR workloads, contracts with a no-third-party clause, or simply a token bill that has outgrown the cost of a server. If none of that applies, a cloud model behind the same system is cheaper to start with and we will say so.
Tell us the task and get a price within 1 day
You describe the process, we tell you what a first version costs and how long it takes. Free, no slides.