Guide
On-prem AI appliance: the complete guide
What an AI appliance includes, how it's deployed, and what to check before you buy one.
In short
An on-prem AI appliance is a self-contained system, hardware, an AI model, and software, that runs AI inside your own environment instead of in the cloud. It delivers owned, private AI at a fixed cost, deployable on-prem, in a private cloud, or air-gapped.
What an AI appliance includes
- GPU hardware: Sized to your model, from a single GPU server to multi-GPU nodes.
- The model: Ideally one you own, trained on your domain rather than a generic endpoint.
- Serving & apps: An API, chat UI, and usage platform so teams can use it day one.
- Management: Monitoring, updates, and retraining handled without sending data out.
Deployment models
- On-premise: Runs entirely in your own data centre or office.
- Private cloud: Deployed inside your own cloud tenant and region.
- Sovereign cloud: Hosted in a UK sovereign cloud where you still own the model.
- Air-gapped: Fully isolated for classified or highly sensitive work.
Buyer's checklist
- Ownership: Do you get the model weights, or just access?
- Air-gap support: Can it run with no external connectivity?
- Domain training: Will it be trained on your data, not just hosted?
- Total cost: Compare the fixed cost against years of per-token API billing.
What this looks like with Locai
An AI computer is only as useful as what comes inside it, the model, the application layer, and the deployment story.
Locai Labs believes organisations should own their intelligence. Renting access to a general-purpose model that lives on someone else's servers is fine for low-stakes work; for the AI that touches your data, your customers and your decisions, the model itself should be yours. That is the bet behind everything we build.
It is also a bet that an expert model beats a generalist on the work that actually matters to your business. A smaller model trained on your data, your language, your workflows and your edge cases routinely outperforms much larger generalists on the tasks you care about, and it does so on infrastructure you control. The goal is not the biggest model; the goal is the right model for your business.
And it is deployed sovereignly: an owned model that runs inside your perimeter, on-prem via Locai One, in your private cloud tenant, in a UK sovereign cloud, or fully air-gapped, depending on your residency and security requirements. Your prompts, your documents and your outputs stay inside your environment, under UK jurisdiction, with a data path designed to fit GDPR and the procurement standards regulated organisations are held to.
Frequently asked questions
What is an AI appliance?
A ready-to-run system bundling AI hardware, a model, and software so you can run AI inside your own environment without building the stack.
On-prem vs cloud appliance, what's the difference?
An on-prem appliance runs in your data centre with data never leaving; a cloud appliance runs in a provider's environment. On-prem gives the strongest residency and control.
Can an AI appliance run air-gapped?
Yes. Because the model and hardware are local, an appliance can run fully isolated with no internet connection.
How is an AI appliance priced?
As a fixed-cost asset rather than per-token usage. Pricing is configured to your deployment; see our on-prem AI cost guide to compare against your current API spend.
Book a sovereign AI briefing
A 30-minute session on owning your model: deployment options, the data path, and a clear cost range for your use case.