Sizing
GPU type, amount of video memory and billing model: on demand, reserved capacity or cheaper interruptible instances for batch jobs.
No two projects look alike. Hosting an existing model costs a fraction of teaching one from scratch, which is why the first conversation pins down the real need.
GPU type, amount of video memory and billing model: on demand, reserved capacity or cheaper interruptible instances for batch jobs.
An open model such as the Polish PLLuM, or a managed model service in an EU region, on terms that exclude training on your data, which we check before launch.
Object storage plus a vector database for procedures, contracts or technical documentation, with versioning, encryption and backups.
No internet-facing endpoint, Entra ID authentication and an audit trail of every model query for audit purposes.
Monitoring of GPU utilisation, response times and queue length, budget alerts and automatic shutdown outside working hours.
A description of data flows and processing locations for your record of processing activities, your DPIA and an AI Act review with your lawyer.
Hosting an off-the-shelf model is much quicker than preparing an environment to adapt one to your material, which depends on how much data there is and what quota the cloud vendor grants.
Model family and size, expected daily traffic, data categories and any need for adaptation.
A proposed design and expected monthly bill, comparing vendors and pricing plans without bias.
Everything scripted as code, the model live and linked to your applications over a protected API.
Runbooks, dashboards and a training session for in-house IT, or we keep operating it for you.
Graphics cards lose value much quicker than typical server kit. Vendors release new generations regularly, so a card purchased today looks slow a few years later. Renting means an upgrade is just a settings tweak, and billing stops whenever the model sits idle.
Often it would, as long as nothing highly sensitive is involved and the contract guarantees EU processing with no training on your content. A private environment pays off when sector rules, professional secrecy or the value of your know-how rule out sending data to a shared service.
We test two or three candidates on your own files. PLLuM and other models trained on Polish cope well with official and legal language, while the big commercial models can be stronger at other tasks. The choice rests on those test results, not on leaderboards found online.
If you already own a server with a suitable GPU in a data centre or server room, we can install and maintain the model remotely. We do not supply or install hardware. For most companies the cloud still works out cheaper, as the GPU is not sitting idle overnight and at weekends.
It comes down to the card you pick and how many hours it runs. You receive a monthly estimate before launch, and budget alerts plus a shutdown schedule make sure a forgotten machine does not run up a large bill.
Outline the job and which information must never leave your hands. You will receive a suggested EU design with an expected monthly cost.
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You will hear back within one working day, and if you have reported an outage that is holding up work, it goes to the front of the queue.
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