What does private AI cost? The cost items of your own AI environment

By · Updated · 2 min read

Short answer

The cost of private AI consists of five items: hardware (bought or monthly), placement (server room or datacentre), management, the models and the automations you have built. Open-weight models carry no licence per user. Where an AI subscription grows with every extra user, your own node grows with the capacity you need. werqly is not the cheap option: you pay for your own hardware and full control, not for the lowest price.

The five cost items

ItemWhat it isWhat it depends on
HardwareThe GPU server, bought or as a monthly feeModel size, number of users, peak load
PlacementRack space, power, cooling and networkYour own server room or a datacentre
ManagementUpdates, new models, monitoring, supportDoing it yourself or having it fully managed
ModelsOpen-weight models, with no licence per userThe model’s licence terms
AutomationsIntegrations and processes that run on the nodeNumber and complexity, per project

Which hardware you need is covered in Hardware for your own AI server.

Per user or per capacity

AI subscriptions charge per user per month. That is simple for a few licences, but costs rise linearly: every extra employee costs the same amount, including those who use the tool twice a week.

Your own node costs a fixed amount for a given capacity. Whether forty or two hundred employees use it makes little difference to the cost, as long as the capacity suffices. On the other hand, a small group pays relatively a lot. See Copilot or your own AI? for the substantive trade-off.

Costs that are often forgotten

  • Management when you run it yourself: your IT department’s hours for updates, monitoring and incidents.
  • Server room: power, cooling and a UPS sized for a GPU server.
  • Compliance: DPIAs, data processing agreements and assessments for each external AI service. With your own node, many of those questions fall away.
  • Automations: the biggest return usually lies in processes, not in the chat. Budget for them separately. See Where to start with AI automation.

What werqly costs

werqly works with four set-ups: your own server room or werqly Cloud, self-managed or with werqly Pro management. The calculator below shows the amounts for your organisation straight away. For law firms and notaries, see also AI for law firms and notaries.

Frequently asked questions

Questions on this topic

Is private AI more expensive than an AI subscription?

Usually yes, and that is a deliberate choice. You pay for your own hardware, management and full control over your data, not for the lowest price per user. What you get back is that no outside party takes part in the processing, and many compliance questions per service fall away.

Do I pay licence fees for open-weight models?

For many open-weight models, no: some Mistral and Qwen models, for example, are released under Apache 2.0. Do check each model’s licence, because some models restrict commercial use or use in certain regions.

Can I pay for the hardware monthly?

Yes. With werqly Cloud, a dedicated node sits in a datacentre and you pay a monthly fee instead of a purchase. The calculator shows both options side by side for your number of employees.

What does building automations cost?

That depends on the number of processes and integrations. Automations are built per customer and quoted separately, usually based on a process analysis such as the TIMA Scan.

Sources

  1. Apache Software Foundation — Apache License 2.0
  2. Mistral AI — Models overview

This article is general information, not legal advice. Rules and guidance change; check the sources listed or ask your lawyer or DPO if in doubt.

About the author

Tim Hoogstrate

Founder of werqly

Tim Hoogstrate is a software developer and the founder of werqly. He writes the articles in the knowledge base: what the GDPR, the AI Act and sector rules require when you use AI, and how to arrange that in an environment of your own.

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