Sovereign AI Infrastructure at Scale: Real-World Blueprint for Cloud Providers

As AI adoption accelerates, sovereign cloud providers and regulated enterprises face increasing pressure to offer scalable AI services while maintaining full control over data, infrastructure, and compliance. However, building secure, multi-tenant GPU infrastructure across hybrid environments remains a major operational challenge. In this session, you’ll learn how k0rdent AI helps organizations streamline GPU provisioning, and deploy AI workloads at scale. The platform is built on a Kubernetes-native architecture designed for high-compute, security-sensitive environments. We’ll also explore a real-world case study featuring Nebul, a sovereign cloud provider based in the Netherlands, and show how they operationalized their GPU clusters to serve sensitive AI workloads securely and efficiently. What you’ll learn: - How to automate GPU-ready Kubernetes clusters with compliance in mind - Best practices for deploying and scaling multi-tenant AI inference services using KServe, Knative, and Istio - Lessons from Nebul’s journey as a sovereign CSP scaling secure AI infrastructure Whether you’re building sovereign cloud services or modernizing infrastructure for sensitive AI workloads, this session will give you the blueprint to do it securely, efficiently, and at scale.