SUSE AI helps organizations build and operate enterprise-grade artificial intelligence in a secure, open, and fully controllable environment. Built on open-source technologies and designed for hybrid and multi-cloud infrastructures, SUSE AI enables companies to deploy generative AI and machine learning workloads while maintaining full control over their data, models, and infrastructure.
The platform provides an integrated stack that includes Kubernetes-based infrastructure, curated AI frameworks, model lifecycle management, and enterprise support. This allows organizations to run AI workloads consistently across data centers, edge environments, and public clouds without being locked into a single vendor ecosystem. By combining open standards with enterprise-grade reliability, SUSE AI supports everything from experimentation and model training to scalable inference in production.
Designed for sovereignty and enterprise control
For many organizations, sovereignty and data control are becoming critical factors when adopting AI. SUSE AI is designed with these requirements in mind, enabling organizations to run AI entirely within their own environment while maintaining compliance with internal policies and regional regulations. This makes it particularly attractive for industries where data sensitivity, governance, and transparency are essential.
How ITQ helps
At ITQ, we help organizations design and deploy SUSE AI platforms that integrate seamlessly with their existing infrastructure and DevOps practices. From platform architecture and GPU infrastructure to model operations and lifecycle management, we ensure that organizations can adopt AI in a way that is scalable, secure, and operationally sustainable.
11
Red Hat certificates
1
Golden Kubestronaut
50+
Cloud Native platforms built
200+
Workspace migrations completed
500+
(Sovereign) Data Centers deployed
1.200+
Applications implemented for customers
