It's not always clear which container orchestration system is best suited for a given use case. Slurm, for example, is often preferred over Kubernetes when running large-scale distributed workloads. As a result, organizations areoften faced a hard choice: do they deploy Slurm or Kubernetes to service the rising demands of their AI/ML workloads.

In this talk, we introduce K-Foundry, an open-source custom controller for KCP that translates Kubernetes jobs to Slurm jobs and exposes Slurm nodes and cluster info as Kubernetes Custom Resource Definitions (CRDs). This integration combines Slurm’s robust job scheduling with Kubernetes' dynamic orchestration and API-driven ecosystem, easing the administration of both clusters through a common API.

This session will end with a live demo, where attendees will see how this integration bridges the gap between cloud and HPC, facilitating resource management and optimizing performance for large-scale AI and LLM tasks.