Design, delivery, deployment, and operations from a single source

Secure AI Infrastructure

Your partner for sovereign AI workloads

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.

The challenge: Operating AI, the right way

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.

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 Services — 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, just for your requirements

  • Hardware in your own data center (on-premises): Maximum control and data sovereignty
  • Hosted hardware: Dedicated systems in a suitable hosting environment
  • Virtual infrastructure in the cloud: Operation of AI resources as a cloud environment including provisioning and 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
Christian Casari

Sounds interesting? Let’s talk about your AI workloads!

Contact our experts now and tell us more about your use case!