On-Premise LLM Deployment Services for Your Business
On premise LLM deployment services put a working language model on a server you control, with no dependency on a cloud provider. Omeiro builds air-gapped setups for sectors such as defence, banking and confidential research, where prompts and documents must never leave the building.
How on-premise LLM deployment works, step by step
A made-up example of one run, from start to finish. Each step is logged so you can see what happened.
- Something happens
A form, an email, a payment or a new row.
- The workflow runs
Steps you agreed, in the right order.
- Errors are caught
Failed steps retry or alert a person.
- You see what ran
A simple log of every run.
Sample Made-up names, data and steps to show how a run is logged. Your steps, tools and rules follow your business.
What you get with on-premise LLM deployment
Completely disconnected physical server deployments for defense, banking, and confidential R&D. Self-contained local models with zero internet access and cryptographic validation.
Basic Package
1 offline LLM server, 1 model, offline installer, chat UI. 10-day delivery, 1 round + 30-day fixes.
Standard Package
Up to 3 models, offline RAG over your docs, checksum validation. 18-day delivery, 1 round + 30-day fixes.
Premium Package
Multi-server HA, user auth, hardening guide, on-call handover, 30 days support. 30-day delivery, 1 round + 60-day fixes.
Clear brief first
We confirm what you need before work starts, so the scope is clear on both sides.
Revisions listed
Each package shows its revision rounds. A round is one list of changes sent together.
Yours once paid
Copyright of the final work passes to you once the order is paid in full.
Third-party tools, API usage and hosting are billed to your own accounts, so the setup stays with your business.
How our on-premise LLM deployment works
Confirm the hardware
We check GPU, memory and storage against the model you want to run.
Prepare the bundle
Models, dependencies and the installer are packaged and verified outside your network.
Install on site
The bundle is moved in on approved media and installed with no internet access.
Validate and train
Checksums are verified, the chat or RAG tool is tested, and your team is shown how to run it.
On premise LLM deployment: sizing the hardware and the model
Hardware decides almost everything. A model that needs a large GPU cluster will not run on an ordinary office server, so the first conversation is about VRAM, memory, storage and power rather than which model sounds impressive. On premise LLM deployment also depends on how many people will chat at once, since concurrent users raise the memory needed. Bring your server specification, or the budget you can spend on one, and the model size is matched to it.
Think about what crosses the air gap before ordering. Every model file, library and update has to arrive on approved media, so agree who on your side is authorised to carry and scan it. A sound on premise LLM deployment records checksums for each file, giving your security team something to verify later. Prepare a short list of documents for the offline RAG tier too, because answer quality depends on clean, current source files.
In short
- Delivery in 10 to 30 days, by package.
- Fixed price, shown before you order.
- Copyright yours after full payment.
On-premise LLM Deployment: common questions
How much does on-premise LLM deployment cost?
Prices are fixed and shown by package on our On-premise LLM Deployment pricing page, so you see the full price before you order. You can also ask for a custom quote.
How long does air gapped LLM deployment take?
Delivery depends on the package: Basic 10-day delivery; Standard 18-day delivery; Premium 30-day delivery.
What is included in the Basic Package?
The Basic Package includes: 1 offline LLM server, 1 model, offline installer, chat UI. Higher packages add more scope, revisions and support.
Can I get a custom private LLM on prem setup package?
Yes. If none of the packages fits, use the custom package form on our pricing page to describe what you need, and our team sends you a fixed price.
Can the model really run without internet?
Yes. Models, installers and dependencies are packaged in advance, so the finished system needs no outside connection.
Which models can be installed?
Open-weight models that fit your hardware. We agree the choice with you before ordering is finalised.
Who is the on-premise route right for?
Teams with strict data rules or no approval for cloud AI. If cloud is acceptable, a private cloud setup may cost less.
How do updates work?
New models or versions are brought in through the same offline process. Premium includes on-call handover for your own staff.
What hardware do I need to run an LLM on-premise?
It depends on the model you choose, mainly its GPU memory, system memory and storage needs. Send your current server specification and we will tell you which open-weight models fit before you commit.
Who owns the final work?
Copyright of the final work passes to you once the order is paid in full. Paid fonts, stock files or licences, if used, are licensed in your name.
Ready to start your on-premise LLM deployment?
Compare the packages and pick the one that fits. Not sure which? Write to us and we will help you choose.