WG Batch: What's New and What Is Next?

This talk provides an update on the Working Group (WG) Batch for Kubernetes, covering recent improvements and future directions for supporting batch workloads like HPC, AI/ML, and data analytics. Speakers discuss enhancements to the Job API, including scale, failure policies, and Job Queuing with Kueue. They also cover developments in hardware resource management and topology-aware scheduling, detailing how these features improve resource utilization and scheduling decisions in complex environments.