Your AI models deserve infrastructure you
actually control.
Fully managed private GPU servers for inference — hosted in Slovenia, operated by us, controlled by you. No data leaves your jurisdiction. No surprise bills. No infrastructure expertise required.
You need AI inference. You do not need to become a cloud infrastructure company.
Your organisation has reached the point where off-the-shelf AI APIs are no longer sufficient. You need to run your own models — for privacy reasons, for performance reasons, or because the models you need are not available as a service. You need GPU servers.
But GPU infrastructure is a world of its own. CUDA drivers, VRAM allocation, model quantisation, batch scheduling, failover orchestration — this is deep systems engineering, not business IT. The learning curve is steep, the hardware is expensive, and the mistakes are costly.
Most companies that attempt to build their own GPU infrastructure spend months on procurement, configuration, and debugging before they run a single inference workload. Many never get past the pilot stage.
We built this infrastructure for ourselves. Now we offer it to you — fully managed, fully private, fully operational from day one.
GPU infrastructure that works on day one.
We handle the hardware, the networking, the drivers, the orchestration, and the monitoring. You deploy your models and run inference. That is the entire scope of your responsibility.
Data Sovereignty — Guaranteed
Your data never leaves Slovenia. Full GDPR compliance, full EU jurisdiction. No third-party cloud providers, no transatlantic data transfers, no grey areas.
Low-Latency Inference
Sub-second response times for real-time AI applications. Whether you are running language models, voice synthesis, or document processing — performance is measured in milliseconds.
Predictable Cost
Fixed monthly pricing based on your compute allocation. No per-token charges, no egress fees, no surprise invoices at the end of the month. You know exactly what you will pay.
Fully Managed
We handle hardware maintenance, driver updates, security patches, monitoring, and failover. Your team focuses on deploying models, not managing servers.
EU-Based Infrastructure
Physical servers in Slovenia. Operated by a Slovenian company under EU regulation. For organisations where data residency is not optional — it is mandatory.
Elastic Scaling
Start with what you need. Scale when demand grows. We manage capacity planning and hardware procurement — you just tell us when you need more compute.
What companies run on private GPU infrastructure.
If your AI workload requires privacy, performance, or both — and you do not want to build a GPU team — these are the use cases our clients deploy.
Private LLM Inference
Run open-source large language models on your own infrastructure. Customer data, internal documents, proprietary knowledge — processed without ever leaving your servers.
Common Deployments
Voice AI & Speech Processing
Real-time speech-to-text, text-to-speech, and voice cloning that runs entirely on private infrastructure. No audio data sent to third-party APIs.
Common Deployments
Computer Vision & Image Processing
Run object detection, quality inspection, and image classification models at production scale — with the latency and privacy guarantees that cloud APIs cannot provide.
Common Deployments
Document AI & Data Extraction
Process invoices, contracts, reports, and regulatory filings with AI models that run entirely on your infrastructure. Sensitive financial and legal data stays private.
Common Deployments
Built for inference. Managed by engineers who understand it.
Our GPU infrastructure was originally built to power our own AI products — voice agents, micro-apps, and language models for underserved European languages. We operate it daily. We understand the performance characteristics, the failure modes, and the optimisation techniques that matter for real-world inference workloads.
When you deploy on our infrastructure, you are not renting from a generic cloud provider. You are working with a team that runs production AI inference every day and knows what it takes to keep it fast, private, and reliable.
We do not sell hardware. We sell operational AI infrastructure.
Infrastructure Overview
Your data. Your models. Your infrastructure.
In a 30-minute call, we can assess your inference requirements and tell you exactly what a managed GPU allocation would look like for your workload — including performance benchmarks and monthly cost.