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Explore k0rdent, an open source, enterprise-grade solution for managing scalable AI/ML workloads on Kubernetes across multi-cloud environments. Learn about the operational challenges of traditional Platform Engineering as a Service (PEaaS) frameworks at enterprise scale, particularly when deploying AI-capable workloads, and discover how k0rdent addresses these challenges through its three core pillars: cluster management, state management, and observability. Understand how k0rdent integrates seamlessly with existing open source tools including ClusterAPI (CAPI), k0smotron, and Sveltos to simplify Kubernetes operations. See how a single YAML file can provision multi-cloud, GPU-enabled clusters, install essential services like cert-manager, Knative, and KServe, and deploy AI inference pipelines with ease. Examine k0rdent's approach to security and compliance, emphasizing the importance of shifting security left, avoiding vendor lock-in, and streamlining both Day 0 and Day 2 operations. Watch a practical demonstration showing how k0rdent makes managing AI-capable Kubernetes clusters across any environment and infrastructure as simple as running "kubectl apply," and explore a real-world use case example that illustrates the platform's capabilities in production scenarios.
