Your data cannot leave the company.
Infrastructure / Local AI
AI that runs on your equipment, not in the cloud.
Models and agents running on your equipment or at the edge of your operation. From installing software on a machine you already have, to a dedicated server when the case calls for it.
When does it make sense?
You work where the connection fails: field, plant, warehouse.
You want to reduce dependency (and the recurring cost) on cloud APIs.
You need answers on site, without a round trip to the internet.
From installing software to having your own server.
Not everything local means expensive equipment. There is a spectrum, and sizing defines where your case fits.
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The most accessible Software on what you already have
A lightweight model running on a PC, or even on a phone. It is installation, not construction. The way to start without buying anything.
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One step further Dedicated local machine
When the model or the load calls for it, a more powerful machine running a local LLM in your office. We tell you when it is needed and when it is not.
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More extensive Server and edge
For continuous use or several locations: your own server and edge nodes, with connectivity and security solved.
What it includes.
Model and machine sizing
What model and what equipment you really need, based on your case. Not too much, not too little.
Installation and setup
We leave it running on your hardware, with your data and your context.
Local connectivity and security
So it works at the edge, without exposing what should not leave.
Operation, if you want it
We maintain and update it so it does not degrade. Or we leave it ready for you to manage yourself.
FAQ.
What models run locally?
Open models, chosen according to your machine and your case. We use the one that best fits your hardware and solves your task.
Is a regular PC enough?
For many cases, yes. For others you need something more powerful. That is exactly what we size before you buy anything.
Does a local model perform like a cloud one?
For narrow tasks with your context, it performs very well. For others the cloud is better. We tell you which fits each case, without selling you a single answer.
Does your AI have to stay home?
In 30 minutes we look at what model and what machine you really need, and where it makes sense to start.
or email us at hola@lirroy.com
Other infrastructure paths