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AI Solutions. Secure and Reliable.
AI with a Focus on Control, Security, and Operability
secunet cloud combines high-performance cloud and GPU resources with an open technology approach and a focus on sovereign IT environments. This creates a robust foundation for modern AI workloads, ranging from the provision of technical platforms to managed services for selected AI-related operating models.
AI projects place demands not only on computing power but also on governance, data control, and secure operations. secunet cloud addresses these requirements with an infrastructure designed for transparency, portability, and controlled operating models. This is particularly relevant for organizations that wish to use AI as part of a trustworthy overall digital architecture.
Why AI with secunet cloud
AI workloads are run in an environment designed to promote openness, control, and minimal reliance on proprietary platform models.
The service is provided in an environment with high standards for security, data protection, and traceable operational processes.
Scalable cloud and GPU resources are available for computationally intensive AI applications.
AI solutions can be integrated into existing cloud, Kubernetes, and service environments.
Depending on the deployment scenario, the focus is on self-service, assisted operation, or managed services.
Zertifizierungen & Standards
Possible Areas of Application
Managed LLM offerings from secunet cloud make large language models available in a controlled, security-oriented environment. This is based on high-performance GPU infrastructure combined with open technology approaches and operating models that integrate seamlessly with existing platform and security requirements.
- Data control: Processing and storage remain within the defined area of responsibility.
- Use cases: Assistance systems, knowledge access, automation, internal process support.
- Operating model: Tailored to existing platform and security requirements.
- Integration capabilities: Connection to existing IT and cloud environments.
Technological Foundation
The foundation consists of open container and cloud technologies combined with scalable GPU resources. This approach makes it possible to run AI workloads where it makes economic and regulatory sense, without replacing the existing IT landscape.
Portability through open container and cloud technologies: Workloads remain interchangeable and independent of individual providers.
Integration into existing Kubernetes and service environments: New AI components fit seamlessly into existing operational processes.
Controlled, traceable operations management: Those responsible maintain transparency regarding data processing and system status.
SECURITY-AI
Managed LLMs for Sovereign and Secure AI Applications
Managed LLM offerings from secunet cloud make large language models available in a controlled, security-oriented environment. These offerings are based on high-performance GPU infrastructure combined with open technology approaches and operating models that integrate seamlessly with existing platform and security requirements.
- Data control: Processing and storage remain within the defined scope of responsibility.
- Use cases: Assistance systems, knowledge access, automation, internal process support.
- Operating model: Tailored to existing platform and security requirements.
- Integration capability: Connection to existing IT and cloud environments.
Get started with the secure cloud now
Talk to our experts - initial strategic consultation, technical proof of concept, or migration path.
