Comparison
Locai One vs NVIDIA DGX & Dell AI servers
Raw GPU hardware versus a complete, ready-to-run AI computer with a model you own.
In short
NVIDIA DGX and Dell AI servers are powerful raw hardware, you still have to source, train, and operate a model on top. Locai One is a complete AI computer: hardware plus a sovereign model trained on your data plus an application layer, ready to use on day one.
Hardware vs a complete solution
A DGX or Dell AI server gives you excellent compute, but compute is only one ingredient. To get value you still need a model, a post-training pipeline to make it expert in your domain, serving infrastructure, and applications, months of specialist work.
Locai One delivers all of that as one solution: the model (which you own), the serving stack, and the apps, on appropriately sized hardware. You buy an outcome, not a parts list.
Locai One vs raw AI servers
| Locai One | DGX / Dell AI server | |
|---|---|---|
| GPU hardware | Included, right-sized | Yes |
| AI model | Included, owned by you | Not included |
| Trained on your data | Yes | You build it |
| Serving & apps | Included | You build it |
| Time to value | Ready to run | Months of integration |
| Air-gapped | Yes | Possible, you assemble |
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
Is Locai One like a DGX?
It can run on similar GPU hardware, but a DGX is raw compute. Locai One adds the owned model, post-training, serving, and apps, so it's a complete AI computer, not just a server.
Do I still need a model with a DGX?
Yes, a DGX provides compute only. You'd need to source, train, serve, and maintain a model yourself. Locai One includes a model you own.
What's included in Locai One?
Right-sized hardware, a sovereign model trained on your data, serving infrastructure, and an application layer (chat, API, usage platform).
Which is cheaper to run?
A complete solution avoids the hidden cost of building and operating the model layer yourself. For most enterprises, time-to-value and total cost favour an integrated AI computer.
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.