SUSE AI is a secure, private and enterprise grade AI platform to deploy and run GenAI solutions for any AI application. Delivered as an integrated solution, SUSE AI is flexible and modular to provide extensibility. With SUSE AI, you control your AI Solutions empowered with choice and sovereignty. SUSE AI is GenAI your way.

Why SUSE AI?

SUSE AI provides choice and control over AI solutions with complete sovereignty from an integrated, extensible platform. Banish shadow AI and unpredictable costs with AI – your way.

Secure by Design

Built with SUSE’s common criteria certified secure supply chain providing the highest levels of security and certifications. Provides zero trust security, templates to help you stay compliant, and playbooks for full observability.

Trust and Control

Enables multifaceted trust – in the platform on which you deploy your AI solutions, in the generated data, and in the assurance that your data remains secure – including your intellectual property and customer data.

Choice

Choose what to implement; how to optimize and extend the platform. Select the LLM that most matches your business needs; safely enjoy RAG capabilities. Deploy in the cloud, hybrid, on premises, or air-gapped. Your AI; your way.

SUSE AI Top Features

Secure open infrastructure stack

• Most certified Linux and Kubernetes
• Inherited security from the SUSE Build Service
• Secure augmentation of company and customer data for specific responses
• Sanitized AI Components delivered through SUSE Application Collection

Comply with fast changing regulations

• Enterprise grade security and observability.
• Services, templates, and playbooks for control, oversight, and security assurance.
• Backed by SUSE for enterprise grade technical support and defined lifecycle.s

Future proof your AI needs

• Fully modular platform, allowing customization and integration with open-source components and choice of LLMs
• Extensible platform that adapts to changing environments without being tied to specific platforms

Predictable cost control

• Set deployment on premises instead of being in the cloud
• Costs are not dependent on tokens or usage
• Multiple use cases on the same infrastructure