Running AI workloads on bare metal servers unlocks the full power of CPUs and GPUs by eliminating virtualization overhead. But provisioning and managing bare metal infrastructure for AI is complex, time-consuming, and error-prone. Teams struggle with setup, resource utilization, and the lack of proper orchestration and monitoring, which slows down innovation and increases costs. This 20-minute webinar, led by Mirantis’ Anjelica Ambrosio, shows how k0rdent AI simplifies bare metal lifecycle management for AI workloads. You will see how discovery, provisioning, and monitoring are automated, and how servers seamlessly transition from available to in-use, so your team can focus on accelerating AI applications instead of fighting infrastructure. What you’ll learn: Why bare metal is the optimal foundation for AI workloads The biggest challenges of provisioning and managing bare metal for AI How k0rdent AI automates server lifecycle management from discovery to in-use How to streamline infrastructure creation and maximize performance for AI projects If you are a Platform Engineer, Architect, or IT leader tasked with enabling AI at scale, this session gives you the roadmap to simplify infrastructure and unlock faster results.
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