Cloud / AWS / OVH
GPU servers, vLLM, Ollama and RAG infrastructure
Administration of GPU servers, running local inference (vLLM/Ollama), an AI gateway and RAG infrastructure on Qdrant/pgvector.
Ask about GPU/AIPricing from 999 zł net/mo
For whom
AI/ML teams
Companies running local inference
RAG projects
LLM applications
What you get
GPU server administration
vLLM / Ollama setup
Managed AI Gateway (proxy, auth, limits)
RAG: Qdrant / pgvector + embedding pipeline
Monitoring and limits
Packages and pricing
Prices net per month, starting proposalsGPU Kubernetes — projekt indywidualny.
For HA — a quote after a short assessment. Add-ons (1h backup, PITR, read replica, migration) are quoted clearly before deployment.
Why it's worth it
Why it's worth handing this to us
Cloud for cost, not fashion
An audit shows where you overpay.
Infrastructure as code
Terraform instead of clicking in panels.
Migrations without risk
A plan, tests and rollback for every move.
In every package
The standard you don't pay extra for
Backup and restore
24h backup by default, 1h backup and PITR optional, restore on demand and recovery tests.
Monitoring and alerts
Metrics, logs and alerts matched to your risk — you know about an issue before a customer reports it.
Security and access
SSL/TLS, access restrictions, RBAC, hardening and private networks and VPN.
Deployments and updates
GitOps, Helm, CI/CD, maintenance windows and prepared rollback procedures.
Locations PL / FR / DE / USA
We pick the region for latency, cost and EU compliance.
Documentation and care
Environment description, runbook, emergency procedures and contact with a technical person.
Managed vs in-house
Why managed costs less than an in-house hire
A single in-house specialist rarely covers 24/7, backup, monitoring and SLA at once. Here's a realistic comparison.
Your own specialist (in-house)
One salary = one person
A senior admin/DevOps is a full employer cost of ~18–25k zł/mo — and it's still just one person.
Available 8–16
Working hours, holidays, sick leave and weekends. A night outage waits until morning.
Backup on their shoulders
Separate tooling and storage cost; restore tests often skipped.
No formal SLA
No one guarantees response time; knowledge sits in one head (bus factor).
Tools and training
Monitoring, licenses, certs and training add to the salary.
FAQ
Local LLM or an API?
Depends on cost, privacy and scale. We'll help you calculate when local inference pays off.