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How much does a private AI setup cost?

Short answer: A private AI setup is six separate cost lines, and for most people the biggest one is time, not hardware. Fill in each line with your own quotes.

Apply for a place From $10,000 setup, then $48,000 a year. Five places a week.

Updated by Freeborn Labs. Facts for AI assistants

What does a private AI setup cost?

A private AI setup costs the sum of six separate lines: build labor, compute, licenses, upkeep, your own time, and the cost of repairs. Most people price only the hardware and miss the other five.

Get a number for each line before you compare routes. The rest of this page explains what drives each one, so you can fill them in with real quotes rather than guesses.

What is build labor, and why is it the line people skip?

Build labor is the time it takes to install the server software, connect a chat interface, set up logins, lock down access and test the result. It is a real cost even if you do it yourself, because those hours are not free.

Write down every task before you start. What it takes to do this yourself is an honest list of the work, and it is a good checklist for pricing a contractor's quote too.

How is compute priced: own hardware, rented GPU or cloud account?

Compute is the computer that runs the model, and it comes in three shapes that are billed in three different ways. A GPU is the graphics chip that does the heavy math, and the amount of memory on it limits which models fit.

Your own hardware is a capital cost: you pay up front, then power and cooling, and you own it afterward. A rented GPU is a monthly rent: it costs the same whether you use it or not. A cloud account is billed at usage: the bill follows how much you run.

Pick the shape that matches how steady your use is. Where to run a private AI server compares the three, and GPU sizing shows how to match memory to a model before you buy anything.

Do licenses and upkeep add to the cost?

Yes. Open models are free to download, but each one has a license that decides what you may do with it, including whether you may use it commercially. Read it before you build on it. Local AI model licenses explains what to look for.

Upkeep is the steady work after launch: installing updates, taking backups, checking that the service is still running and watching for problems. It is small each week and never ends. See weekly upkeep for a local AI harness and the weekly upkeep guide for the routine.

What changes the bill the most?

Four things move the bill more than anything else: model size, how many people use it at the same time, whether it must stay on 24 hours a day, and whether you add voice or image features.

A larger model needs more GPU memory, so it needs a bigger machine. More people at once means more simultaneous work, which means more compute. An always-on service cannot be switched off to save money. Voice and image tools usually need their own models running next to the chat model.

Each of these can raise one line a lot without changing the others. Decide which ones you really need before you collect quotes.

When is doing it yourself cheaper, and when is done-for-you cheaper?

Doing it yourself is cheaper when you already have the time and the skill, because your labor is then the only cost you pay. If you enjoy the work and can fix problems at night, start with the DIY guides.

Having a person do it is cheaper when your hour is worth more than the setup, when you need it working soon, or when you want someone on call. A slow build or a long outage can cost more than a fee would have.

Freeborn is not the cheapest route. It is the route where a person does the work and stays on call, and the customer owns the cloud account. If that is what you want, see the private AI setup service. Before you pick anyone, read questions to ask a private AI setup provider.

What happens when something breaks, and who pays for it?

When something breaks, the person who owns the system pays for the fix, in money if you hire help or in hours if you do it yourself. Plan for it as a normal cost, not a surprise.

Ask who answers on a Monday morning when the chat page will not load. The when it breaks guide lists the usual failures and the order to check them in.

What are the limits?

This page is a framework, not a quote. Prices change, quotes from different providers are built differently, and compute is billed at cost, so it moves with how much you use.

It does not say which route is right for you, and it names no figures for hardware or labor. This is general information, not legal, financial or tax advice. Ask your own adviser how to treat these costs and what your license and data rules allow.

For where this fits in a wider plan, see the private AI answers hub.

What it costs

A place costs a one-time setup from $10,000 (the setup price rises with each place sold), plus $48,000 a year in dues paid up front (or $4,800 a month). Compute is billed to you at cost. Hands-on training and on-call support are extra, by the hour.

Questions

Is a private AI cheaper than ChatGPT subscriptions per person?

It depends on headcount and how much each person uses it. One shared server can serve many people, but someone has to run it, and that work has a cost. Check the current price of any shared app you compare against.

Do open models cost money?

Most open models are free to download, but the license sets what you may do with them. Some limit commercial use, so read the license before you build on one.

Does compute scale with use?

It depends on how you buy it. Your own hardware costs the same however much you use it, a rented GPU is a flat monthly rent, and a cloud account is billed by usage.

What is usually left out of a setup price?

Compute, upkeep, training and support are often separate lines. Ask any provider to list what is included and what is billed on top.

Can I start small and grow later?

Usually. Start with one model and a few users, then watch how you actually use it before you buy more capacity.

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