AI agent or your own AI model: which to choose?
Both options add AI to your business, but they differ in one thing that decides everything else: where your data goes. An AI agent uses an external model over the internet and starts cheaply on an ordinary server. Your own model runs on a GPU inside the EU, so nothing leaves the building. Which one fits depends on how sensitive your data is, how much you run, and your budget.
Path 1: an AI agent on a normal server
An AI agent is a ready assistant that sends each request to an external model such as ChatGPT or Claude and returns the answer. It runs on a standard VPS with no GPU, so it is inexpensive and quick to launch. It connects to Telegram or a web chat and handles support replies, routine automation and everyday text tasks.
- Low entry cost, from 9.35 EUR per month.
- Ready in hours, not weeks.
- Always uses the latest hosted models.
- Trade-off: prompts leave your server and you pay per use.
Path 2: your own model on your GPU
The second path is a private large language model running on GPU hardware in our Riga data centre. Prompts and data never leave the machine, and the monthly cost is flat no matter how many requests you send. You can start with a ready appliance such as the NVIDIA GB10 or ASUS GX10 (128 GB VRAM, enough to run Llama 3.3 70B for 10 to 20 users) or a standalone GPU card up to the H200 with 141 GB.
- Data stays in-house, inside the EU.
- Predictable cost, with no per-request billing.
- Needs GPU hardware, bought once and quoted per case.
Pick the agent if...
- You want to start this week on a small budget.
- Your prompts are not confidential.
- Your volume is light or uneven.
- A chatbot or task automation is the main goal.
Pick your own model if...
- You handle personal, medical, legal or financial data.
- GDPR and NIS2 duties make third-party processing awkward.
- Your query volume is high and steady, so flat cost wins.
- You need full control over the model and its logs.
How to choose and where to start
Weigh three things: data sensitivity, volume and budget. If your data is ordinary and you want speed and low cost, begin with an AI agent. If confidentiality, GDPR or NIS2 rule out sending prompts abroad, or your volume makes flat pricing cheaper, run your own private model on our AI servers. Not sure? Many companies begin with an agent and move heavy or sensitive workloads onto their own hardware later. Tell us your case and we will size the right option with you.