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Private AI infrastructure that never leaves the Czech Republic.

Dedicated enterprise GPU up to 96 GB — the entire card exclusively for your company, in a Czech Tier III data center. Fixed price in CZK, contract in Czech, support from a real person.

Three reasons why companies leave AWS, Azure and GCP for AI workloads.

Large clouds are great for experiments. For production AI with real data, you always run into the same three problems — and in regulated industries all three are deal-breakers.

01

Data leaves the EU

Even if you choose an 'EU region', your provider is headquartered in the US. The Cloud Act allows US authorities to request your data without your knowledge. For law firms, healthcare and finance, this is a legal problem, not an IT problem.

02

Price in USD, out of control

Billing in dollars, the exchange rate changes every month, per-second billing that nobody predicts. The end of the month brings an invoice 30% higher than the last — and you don't know why.

03

You share GPU with strangers

Most cloud GPU instances run in a multi-tenant environment. Noisy neighbors slow down your models. Spot instances disappear mid-training. No predictability.

Full card. Your data. No surprises.

AI Dedicated 96 is not shared capacity. It is a physical GPU reserved exclusively for you throughout the contract period.

Czech location

Czech location

Tier III data center in the Czech Republic, fully GDPR compliant. Data never physically leaves Czech territory. Contractually guaranteed.

Dedicated 96 GB card

Dedicated 96 GB card

Latest enterprise GPU with 96 GB ECC memory. Sufficient for 70B LLM models or parallel inference for an entire team — without sharing.

Fixed price in CZK

Fixed price in CZK

Monthly flat rate in CZK. No per-second billing, no USD exchange surprises. You know exactly what your AI infrastructure costs.

Managed service, not a vending machine

Managed service, not a vending machine

We deploy OS, Docker, monitoring, backups. You manage your models, we manage the infrastructure. 16 years of MSP experience in the Czech Republic.

SLA 99.9 %

SLA 99.9 %

Contractual availability with real compensation for downtime. Tier III data center guarantees redundant power and connectivity.

Support in Czech

Support in Czech

A real engineer on the phone, not a ticket to a foreign country. Contract in Czech, invoicing with Czech VAT, legal assistance under Czech law.

Next-gen NVIDIA, fully in the Czech Republic.

Blackwell is the latest Pro series (2025) with 5th-generation Tensor cores and FP4 support, ideal for inference of production LLM models. The card is deployed with full NVIDIA enterprise warranty.

  • 96 GB GDDR7 ECC memory — fits even a 70B model in FP16 or 2× 33B in parallel
  • 24,064 CUDA cores · 5th-generation Tensor cores (FP4 / FP8 / FP16 / BF16)
  • Dedicated 10 Gbps connectivity and private VLAN, no shared bandwidth
  • Bare-metal Linux, Docker / Kubernetes, vLLM / Ollama / Triton — your choice
Currently available hardware
NVIDIA RTX 6000 Pro
Blackwell · Server Edition · 2025
VRAM96 GB GDDR7 ECC
CUDA cores24,064
Tensor cores5th gen (FP4 / FP8)
RT cores4th generation
LocationCZ, Tier III DC
Connectivity10 Gbps · private VLAN
WarrantyNVIDIA enterprise
3 slots remaining in Q3 2026

Built for regulated industries.

If you work with sensitive data, hyperscalers can't give you what you need: demonstrable isolation, Czech jurisdiction and an audit trail.

Primary audience

Private LLM for sensitive data

Law firms, healthcare organizations, financial institutions, insurers and the public sector. Your own model on your documents, no data sent to OpenAI or Anthropic, full audit trail.

  • Run your own Llama / Mistral / Qwen on your contracts or patient records
  • No data sent to the US — compliant with attorney-client privilege and medical secrecy
  • Compliance with GDPR, NIS2 and sector regulations
  • DPA, audit logs and certificate of erasure upon contract termination
Typical use case
Law firm, ~40 lawyers

Migration from trial ChatGPT to private Llama 3.3 70B. Full audit trail, attorney-client privilege maintained, ethics committee satisfied.

TIME
9 business days
COST
34,900 CZK/mo
DATA
100% in CZ
Secondary · Also for

SaaS and AI startups with a growing OpenAI bill

If you have an AI feature in your SaaS product and pay OpenAI or Replicate every month, do the math. Running your own inference pays off from ~15,000 CZK/month in API spend. Predictable unit economics, latency under 50 ms for CZ/SK, no throttling.

Savings vs OpenAI
~115,000CZK/mo
at 500k inference requests

Four ways to get started.

No hidden fees. No per-second billing. No commitment that ties you longer than you need.

AI Project
Short sprint, PoC, model training
12,900CZK / week
excl. VAT · min. 1 week · 96 GB GDDR7 ECC
  • Entire card just for you
  • Bare-metal Linux + Docker
  • Onboarding within 48 hours
  • Secure VPN / IPsec connection
  • Email support during business hours
Enquire AI Project
AI Dedicated 24
Entry option — smaller models, RAG, inference
14,900CZK / month
excl. VAT · min. 3 months
  • Dedicated GPU 24 GB (RTX 4000)
  • For models up to 13B (Llama / Mistral)
  • Same location, compliance and SLA
  • Secure VPN / IPsec connection
  • Option to upgrade to 96 GB at any time
Enquire AI Dedicated 24
AI Dedicated 96 — Annual
For stable production workloads
29,900CZK / month
excl. VAT · 12 months · 14% discount
  • Everything in AI Dedicated 96
  • 14% discount vs monthly plan
  • Priority support within 1 hour
  • Dedicated private line included
  • Annual architecture review at no cost
  • Fixed price, no increase throughout the term
Arrange annual contract

From enquiry to production in 5 days.

No sales pitch. We understand your workload, design a solution, deploy, and you start the billing cycle.


1

Intro call

30 minutes. We understand your workload, models, compliance requirements. No sales pitch.

2

Solution design

We prepare a technical specification, OS and stack selection, migration plan. You approve the budget.

3–4

Provisioning

We install OS, GPU drivers, Docker/Kubernetes, monitoring. Hand over access, document everything.

5

Production-ready

Card running, models deployed, backups active. You start the billing cycle.

16 years. 80+ projects. Real companies.

AI infrastructure is the new portfolio of Zen Systems. Built on 16 years of experience in application development, network management and hosting for companies, cities and public institutions.

16
years in business
80+
solutions delivered
20+
specialists in CZ
100 %
data in CZ

Frequently asked questions

What is private AI infrastructure?
Private AI infrastructure is a dedicated enterprise GPU (up to 96 GB VRAM) physically located in a Czech Tier III data center, reserved exclusively for your company. You run your own LLM models — Llama, Mistral or Qwen — without sending data to the US. Unlike hyperscalers (AWS, Azure, GCP), the card is yours alone: no multi-tenant, fixed price in CZK, contract in Czech, 24/7 managed. Deployment in 5 business days.
How much does private AI infrastructure cost?
Pricing starts at 14,900 CZK/month excl. VAT (AI Dedicated 24, 24 GB GPU, min. 3 months). Production configuration AI Dedicated 96 (enterprise 96 GB GPU) costs 34,900 CZK/month excl. VAT, or 29,900 CZK/month on an annual contract (14% discount). Short sprint or PoC: AI Project from 12,900 CZK/week excl. VAT. No per-second billing, no USD exchange surprises.
How does GDPR work and where exactly is the data?
The card and all data are physically located in a Tier III data center in the Czech Republic. Operated by a Czech company under Czech law. We provide DPA and compliance documentation for your DPO. No subcontractors outside the EU.
What if we need more than one card?
Current capacity: 1× dedicated GPU with 96 GB VRAM. For multi-card configurations, we prepare a custom quote within 48 h, typically involving dedicated hardware procurement. Minimum commitment for custom configurations is 12 months.
Can we migrate existing models from AWS / Azure / OpenAI?
Yes. We help with model migration from hyperscalers (weight file transfer, format conversion, optimization). If you currently use API services (OpenAI, Anthropic), we help deploy an open-source equivalent (Llama 3.3, Mistral, Qwen 2.5) — often with better results for your use case.
What happens if someone reserves the card before us?
We currently have 3 slots available. Once capacity is exhausted, applicants go on a waitlist or we order another card (lead time ~4–6 weeks). A reservation fee of 9,900 CZK is charged, which is deducted from the first invoice.
What is the difference from trooper.ai or AWS p4d?
Trooper.ai is a self-service GPU vending machine for developers with refurbished hardware. Our model is a managed service — we prepare the environment, deploy your stack, monitor 24/7. New card under NVIDIA warranty, Czech Tier III data center, contract in Czech. AWS p4d is multi-tenant infrastructure under the Cloud Act billed in USD. With us, the entire card is just for you, fixed price in CZK, data under Czech law.
What do we need to manage ourselves?
You handle: your models, application code, prompts, business logic. We handle: hardware, OS, GPU drivers, containerization, monitoring, backups, security patches, 24/7 oversight. If needed, we also offer complete LLM stack deployment as a paid setup service.
How does contract termination work?
After the 3-month minimum commitment, you have a monthly notice period to the last day of the month. No penalties, no hidden fees. We hand over your data in an agreed format or securely destroy it with an erasure certificate.
Do you have experience with LLM deployment in production?
Yes. As part of the Zen Systems MSP portfolio, we have deployed LLM stacks (vLLM, Ollama, LocalAI, OpenWebUI) for 12+ clients since 2023. We also offer consultation on model selection for your specific use case — not every problem needs a 70B model.

Let's talk — no commitment.

A 30-minute call. No sales pitch. We discuss your workload, show a realistic budget, and advise even if our service isn't the right fit for you.