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Explore Mirantis' comprehensive approach to simplifying GPU infrastructure deployment through their "GPU Cloud in a Box" solution in this 34-minute conference presentation. Learn how Mirantis addresses common operational bottlenecks in GPU environments, including fragmented technology stacks, resource scheduling difficulties, and lack of integrated observability, by packaging a complete production-ready system that eliminates the need to assemble and maintain complex hyperscaler-style AI platforms. Discover the Mirantis k0rdent AI composable platform that transforms racks of GPU servers into consumable services with tenant-aware resource partitioning, policy-based access controls, and service catalogs aligned with existing cloud consumption models. Watch live demonstrations of the self-service portal and Product Builder, showcasing how users can provision GPU resources within minutes using preconfigured service templates, while operators gain real-time observability dashboards for GPU utilization, job performance, and service health monitoring. Understand the flexible deployment options available, from data center installations to edge locations and hybrid models with public cloud-hosted control planes managing distributed GPU nodes, making it particularly valuable for organizations pursuing sovereign cloud strategies. Gain insights into both the technical benefits of validated baseline architecture that reduces failure modes and accelerates time-to-service, and the commercial advantages of monetizing GPU investments through consumption-based services that rival hyperscaler offerings without requiring equivalent capital investment or staffing levels.
