Private GPU Infrastructure for AI Models
We host language models, RAG systems and AI agents on dedicated GPU infrastructure in European data centers. We provide full data control, GDPR compliance and performance ready for production deployments.
What you can run on this infrastructure
On our GPU infrastructure you can securely deploy language models, RAG systems, AI agents and solutions for image analysis and generation — without moving data outside your organization and without dependency on external services.
Private Models and AI Assistants
Run your own language models and internal AI assistants without dependency on external APIs and without moving data outside your organization.
RAG for Documents and Company Knowledge
Build private RAG systems based on documents, procedures, knowledge bases and operational data available exclusively within your environment.
Vision AI and Image Analysis
Deploy image recognition, classification, data extraction and multimodal scenarios for industrial, medical and business processes.
Media Generation and Multimodal Workflows
Run models for image generation, visual content processing and AI scenarios combining text, image and contextual data.
AI model security
Infrastructure is only half the story — we also harden the model itself against attacks unique to AI systems, before it ever reaches production.
Prompt injection protection
Prompt filtering and validation at the API gateway, isolating system instructions from user content and detecting attempts to bypass model policies.
Guardrails & output filtering
Controls on model output to catch sensitive data leakage, policy-violating content and hallucinations in business-critical responses.
Model theft protection
Rate limiting, query-pattern monitoring and detection of attempts to distill or extract model weights through the API.
RAG & training data integrity
Validation of knowledge sources in RAG pipelines, plus protection against data poisoning and malicious document injection into the vector store.
AI red teaming
Regular resilience testing against jailbreaks, adversarial attacks and abuse scenarios before production rollout.
OWASP LLM & AI Act compliance audit
AI deployment risk assessment against the OWASP Top 10 for LLM Applications and EU AI Act requirements.
We design GPU infrastructure for organizations that cannot base critical AI deployments on external APIs, unpredictable costs and compromises in the area of data privacy.
Why this environment is ready for production deployments
GDPR-Compliant Hosting
Data processed exclusively within European data centers, with architecture supporting sector compliance and protection of sensitive information.
Full Infrastructure Control
Complete control over models, data and execution layer — without dependency on external APIs, service limits and unpredictable token costs.
Enterprise-Grade GPU Performance
Dedicated GPU environments prepared for inference, RAG, AI agents and selected fine-tuning and multimodal processing scenarios.
Audit, Logging and Operational Security
Audit trail, monitoring and access control supporting deployments in organizations with high security and compliance requirements.
How your data flows
Client / Application / Internal Systems
Secure API Gateway
Auth · Rate limiting · Audit
Guardrails & Filtering Layer
Prompt filtering · Output guardrails · Anomaly detection
Inference Engine & Model Routing
vLLM · Triton · Model routing
RAG & Private Data Sources
Vector DB · Documents · Knowledge Base
Dedicated GPU Pool
Isolated container per model · scales with workload
Private Model Storage & Monitoring
EU Data Center · Monitoring · Backup / Logs
Every model runs in its own isolated container
Your private AI assistant
vLLMCompany knowledge as context
MilvusTuned on your own data
LoRA / QLoRAReal-time image recognition
YOLO + SAMOn-premise marketing visuals
Stable DiffusionAccess to internal APIs
KubernetesReady to get started?
AI that works where you do
Production deployments in regulated industries. No data leaves your infrastructure.
Medical Referral Classification
AI triages incoming referrals against clinical criteria and routes urgent cases to the right specialist within seconds — without exposing patient data to external APIs.
Credit Application Assessment
LLM extracts key financial signals from application documents and pre-scores creditworthiness before any analyst review, cutting manual processing time significantly.
Grant Application Verification
Vision models cross-check submitted documents against eligibility criteria and automatically flag missing data and inconsistencies for case officers.
Contract & Legal Document Analysis
RAG pipeline surfaces clauses, obligations and risk indicators across large document sets — all processed on private infrastructure with a full audit trail.
Technical Documentation Assistant
Knowledge base built on plant documentation answers engineer queries in natural language. Runs fully on-premises — no data leaves the facility.
Why choose us?
Unlike public AI APIs, our GPU infrastructure keeps your data on-premise in Europe, ensuring regulatory compliance and competitive advantage — no per-token costs, no data leaks.