Guide
How much does an on-prem AI system cost?
Fixed hardware cost versus per-token API billing, and where owning your AI becomes cheaper than renting.
In short
An on-prem AI system is a fixed capital cost, hardware plus model plus setup, rather than a per-token bill that grows with every query. For sustained enterprise usage the payback against API fees typically lands within months, after which owning is dramatically cheaper and you keep the asset.
What you're paying for
- Hardware: GPU server(s) sized to your model, a fixed, one-time cost.
- The model: A sovereign model trained on your data, owned by you.
- Serving & apps: API, chat, and usage platform.
- Retraining: Scheduled continual-learning cycles to keep the model current.
The API cost crossover
Per-token API pricing is cheap to start and expensive to scale, costs rise linearly with usage and never stop. An owned on-prem system front-loads the cost, then runs at a fixed rate. Plot the two and they cross: beyond the crossover point, ownership wins and the gap widens every month.
Use the AI cost calculator to estimate your own crossover from your token volume and user count.
Locai One pricing
Locai One is a fixed-cost on-prem AI computer that includes hardware, a model you own, and the application layer. Pricing is configured to your deployment — book a briefing for a tailored quote.
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
How much is an on-prem AI system?
It's a fixed cost rather than recurring per-token fees. Pricing is configured to your deployment — speak to the team for a quote.
Is on-prem cheaper than the ChatGPT API?
For sustained enterprise usage, yes. Per-token billing scales forever, while an owned system is fixed, so beyond the cost crossover, on-prem is substantially cheaper.
What's the payback period?
It depends on usage, but heavy enterprise workloads often reach payback within months. The AI cost calculator estimates yours.
What's included in the price?
Right-sized hardware, a sovereign model you own, serving infrastructure, and an application layer, plus scheduled retraining.
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.