Design, delivery, deployment, and operations from a single source
Secure AI infrastructure for enterprises
Your challenges in operating AI
Many organizations face a choice: public cloud with questions about data sovereignty and ongoing costs—or complex in-house operations that require specialized knowledge and 24×7 operational capacity.
We resolve this dilemma.
We bring the necessary computing power to where it is needed: to your data center, on hosted hardware, or as virtual infrastructure in the cloud—and operate the environment as a managed service end-to-end for you.
Guaranteed secure, high-performance, and with clear SLAs.
Based in Europe, trusted by leading European organizations





Our solution: Managed AI infrastructure
AI workloads are demanding. GPU resources must be properly dimensioned, and the software stack must be cleanly integrated. In ongoing operations, stability, monitoring, and fast response times are critical. Add to this requirements such as GDPR, security concepts, environment isolation, and predictable costs.
We combine hardware expertise and modern platform operations—so that AI in your organization does not become a perpetual project, but runs reliably in production.
Our services at a glance
Hardware Consulting & Procurement
Requirements Analysis & Sizing
Appropriate GPU performance and architecture based on your workloads (training vs. inference), e.g., NVIDIA H100/A100/L40S or specialized accelerators/ASICs
Procurement Through a Strong Network
Access to high-performance AI hardware even in tight market conditions
Scalable Architecture
Designs that grow with your requirements (compute, storage, network)
Managed Software & Stack Integration
AI Stack
Installation and configuration of CUDA, PyTorch, TensorFlow, and local LLM frameworks (e.g., vLLM, Ollama)
Containerization & Deployment
via Kubernetes or Docker for reproducible, efficient workloads
Security & Isolation
Separation and protection of AI environments to safeguard sensitive corporate data
Full Managed Service—End-to-End Operations
24/7 Monitoring
Hardware health, utilization, thermal load, performance metrics
Updates & Patching
Drivers, firmware, libraries, and platform components continuously updated
Support & SLA
Defined response times and expert support—24×7 if required
Flexible operating models, perfectly tailored to your requirements
✓ Hardware in your own data center (on-premises hosting):
With on-premises operation, the AI infrastructure is installed and operated directly in your company’s data center. All hardware—such as GPU servers, storage systems, and network components—is physically located within your IT environment and remains fully under your control.
This model is particularly suitable for organizations with high requirements for data sovereignty, security, and compliance, for example in regulated industries such as healthcare, financial services, or public administration. Sensitive data never leaves your own network at any time.
ONTEC AI supports enterprises with the planning, procurement, installation, and operation of high-performance GPU infrastructure in their own data center—including integration of the AI software stack, monitoring, and ongoing maintenance.
✓ Hosted hardware:
With hosted AI infrastructure, dedicated GPU systems are operated in a professional data center while being available exclusively to your enterprise. Unlike traditional cloud resources, this is physically reserved hardware that is configured specifically for your AI workloads—for example for training large models, inference, or data-intensive analytics processes.
This model combines the benefits of dedicated AI infrastructure with the flexibility of external operation: you do not need to run your own data center, yet you still retain a high level of control over performance, security, and cost structure.
ONTEC AI handles the provisioning, configuration, and ongoing operation of the GPU clusters in a suitable hosting environment in Europe—including monitoring, updates, and scaling the infrastructure as requirements increase.
✓ Virtual infrastructure in the cloud:
With cloud-based AI infrastructure, GPU resources and compute power are provided flexibly via a cloud environment. This enables enterprises to scale AI workloads dynamically without having to operate their own hardware or maintain long-term capacity. Especially with highly fluctuating requirements—for example when training large models or during short-term compute peaks—the cloud offers a high degree of flexibility.
ONTEC AI supports the setup and operation of virtual AI infrastructures in suitable cloud environments and ensures a stable, secure, and efficiently orchestrated platform. This includes provisioning GPU instances, integrating the AI software stack, and automated deployments via container technologies such as Kubernetes or Docker.
This enables enterprises to deploy AI applications quickly while benefiting from scalable infrastructure and professional operations.
Security by Design
ONTEC AI is designed based on comprehensive considerations in the areas of data security, data protection, and data sovereignty.
To meet these requirements, we implement extensive measures.
Maintain Full Control at All Times
- Data sovereignty: Your data remains in your network—GDPR-compliant by design
- Latency: Real-time inference without delays from external cloud connections
- Cost efficiency: No unpredictable token costs or egress fees at high volumes
- Expertise: We combine deep hardware knowledge with modern software and operations management

Sounds interesting? Let’s talk about your AI infrastructure!
Contact our experts now and tell us more about your use case!