As AI becomes more widespread, users and system administrators are striving to develop new platforms to accommodate upcoming workloads. Cloud Native technologies have been preparing for this, but there is still more work to be done. Leveraging resources effectively in Kubernetes can pose challenges around efficiency, configuration, extensibility, and scalability. Cloud Native is fully invested in enabling users to run AI workloads at scale. From going multicluster to integrating SLURM into Kubernetes, the community is working to unlock new levels of scalability and efficiency for AI workloads.
In this talk, we will explore some of the latest technologies being developed by the cloud-native communities and discuss how they aim to address the challenges of the GenAI era by enhancing Kubernetes.
