GPU Chaos to AI Factory - How Enterprises Can Build AI Pipelines at Scale with Mirantis k0rdent AI

Learn how to transform fragmented GPU resources into efficient AI Factories through this 40-minute webinar that addresses the critical challenge of scaling AI initiatives from experimental projects to production-ready systems. Discover strategies for streamlining GPU provisioning and orchestration across hybrid and multi-cloud environments while establishing standardized, reusable workflows for AI training, inference, and deployment. Explore the Mirantis k0rdent AI platform, an enterprise-hardened, GPU-enabled infrastructure solution built on the open source k0rdent platform, and understand how it enables organizations to build AI/ML pipelines more quickly, easily, and cost-effectively. Master techniques for optimizing infrastructure utilization to eliminate resource bottlenecks, control costs, and enable platform teams to deliver self-service AI environments for data scientists and developers. Examine the k0rdent AI Factory Reference Architecture and learn the architectural requirements necessary for successful AI infrastructure deployment, including key questions to answer before implementation. Gain insights from a real-world case study featuring Nebul and understand k0rdent's Kubernetes-native approach to AI infrastructure management. Acquire a comprehensive blueprint for transitioning from disorganized AI experimentation to an industrialized factory model that accelerates innovation and delivers measurable ROI at enterprise scale, making this session essential for platform engineers, AI and ML architects, DevOps leaders, and technology decision-makers responsible for enterprise AI initiatives.