Hosting AI applications: running models, APIs and data safely
Model, API and data in one secure place. What reliable hosting of AI applications involves and how not to get a shocking model-call bill.
Building an AI application is one thing; running it reliably is another. The model, the API and the data need to sit in one secure place, with scaling under load and a clear view of costs — otherwise an unpleasant model-call bill arrives, or an outage at the worst moment.
What good AI hosting solves
Servers, scaling under load, monitoring and backups, so you do not have to think about operations. We also watch model-call costs so the bill does not surprise you. We build on proven tools — Docker, Kubernetes and cloud — so the app runs the same on a laptop and on the server.
Security and your data
Sensitive data stays under control: encryption, separated environments and clear rules about what goes into the model and what does not. When you want to leave, you get every asset and run it anywhere — you are never locked in with the supplier.
This is part of our AI services.
How to continue
If the team is only starting with AI, begin with AI mentoring. If you are taking over an application from another supplier, an application audit pays off before you deploy.
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