AI performance that stays in Czechia.
Over 200 GPUs in our own datacenter. A fixed monthly price instead of a bill that looks different every month — and data stored and processed within the GPU service in the Czech Republic.
Choose by model size
VRAM is what matters — it determines how large a model fits on the card. We size the rest of the system so the GPU never waits for the CPU or the disk.
RTX 4090
in stockInference of smaller models, fine-tuning, image generation.
OrderRTX 5090
in stockProduction inference you can rely on. The most common choice.
OrderNVIDIA L40S
in stockTraining and inference, built for continuous operation.
OrderRTX PRO 6000 Blackwell
in stockLarge models that fit nowhere else, without splitting across cards.
OrderPrices exclude VAT per single card. The monthly rate applies with a commitment of one month or more, the hourly rate for short-term rentals. Multi-card systems are quoted individually.
Datasets belong next to the card, not behind the internet
There is no point in pulling training data over the network every epoch. We attach high-capacity storage directly in our datacenter, connected locally — so the GPU never waits for transfers.
What our GPUs run
Inference of your own model
The model runs continuously and serves your application. The most common deployment — fixed price, no token counting.
Model fine-tuning
Fine-tuning an open model on your data so it speaks your language and knows your industry.
Document processing
Text recognition, data extraction from contracts and invoices, sorting of incoming mail at scale.
Computer vision
Quality control in manufacturing, camera footage analysis, real-time defect detection.
Image and video generation
Visualizations for architects and studios, bulk preparation of product photography.
Scientific computing
Simulations and modelling for research teams that do not want to wait in a queue for a shared cluster.
Your own language model that never leaves our datacenter
For companies that cannot send data to foreign clouds — law firms, healthcare, public administration or anyone under NIS2. We deploy an open model on a dedicated card, connect it to your documents and you get an API and a web interface. Data stays with us, is never sent anywhere and is never used for training.
Request a private LLM- Selection and deployment of a suitable open model
- Connection to your documents and knowledge base
- API compatible with common tools
- Web interface for your employees
- Fixed monthly price based on the chosen card
- No training on your content
When one card is not enough
For long-term training or production workloads with predictable demand we build dedicated systems — multiple cards in one machine or interconnected nodes with a fast internal network. Capacity is reserved for you alone and is never shared.
Request a cluster- 2 to 8 cards in one machine
- Interconnected nodes for larger training runs
- Shared storage for the whole cluster
- Connection to your infrastructure over a private network
- Contractually guaranteed capacity availability
When local GPU infrastructure makes sense
Eron X IT
- Data physically in the Czech Republic
- Fixed monthly price you know in advance
- No egress fees for data sent out
- Latency of a few milliseconds from all of Czechia
- Support in Czech, with a technician, not a form
- Storage local to the card
- We are in NIX and Peering, with direct peering to CESNET and Cloudflare — data in Czechia, Slovakia, Austria and Germany moves extremely fast
Typical foreign cloud
- Data outside the EU or in an unspecified location
- Bill changes with usage
- Fees for downloading your own data
- Latency across half a continent
- Support via an English-only ticketing system
- Storage as a separate paid service
Not sure which card fits your model?
Write to us about what you want to run — we will recommend a system and prepare an offer. The consultation is free.
GPU compute in practice
How quickly can I get a card?
Cards in stock are usually deployed within 24 hours. For multi-card systems and clusters we confirm the timeline when you send the request.
How do I connect to the card?
You get access over SSH and optionally a web interface. We prepare the environment according to what you work with.
Can I later upgrade to a stronger card?
Yes. Switching to another card is handled without penalties — you only pay the difference from the next period.
Is the card exclusively mine or shared?
Dedicated. You do not share it with another customer and you never compete for performance.
What if I only need a card for a few days?
We also offer an hourly rate. For longer projects, however, the monthly price pays off significantly more.
Where exactly is my data?
In our datacenter in the Czech Republic. We do not resell third-party capacity, so we know exactly which machine you run on.