Deliver AI-Ready Infrastructure Without Hyperscaler Complexity Using Mirantis k0rdent AI

Explore how to transform GPU infrastructure into a profitable AI service platform in this 24-minute webinar presented by Mirantis Software Engineer Satyam Bhardwaj. Discover why traditional Infrastructure-as-a-Service models fail to meet the elasticity, scale, and GPU efficiency demands of modern AI/ML workloads, and learn how sovereign cloud providers and regional telcos can overcome challenges like sluggish customer onboarding, idle GPU capacity, and missed monetization opportunities. Master the deployment of k0rdent AI's turnkey templates to launch GPU-backed services in days rather than months, significantly reducing time-to-market while optimizing resource utilization. Examine live OpenCost-Grafana dashboards and forecasting metrics that demonstrate cost efficiency, revenue impact, and long-term profitability potential. Understand how Kubernetes serves as a common control plane for AI infrastructure and how k0rdent AI eliminates Kubernetes sprawl through its declarative architecture. Watch a comprehensive demonstration of deploying GPU-enabled Kubernetes clusters using k0rdent AI, and review the successful Nebul case study showcasing real-world implementation results. Gain practical insights for building scalable and sovereign AI cloud strategies without hyperscaler complexity, making this session particularly valuable for Heads of Cloud Services, Product VPs, CTOs, and professionals involved in AI infrastructure development or GPU-backed service launches in sovereign, regulated, or regional markets.