Red Hat OpenShift is joining the Kueue

Red Hat OpenShift is joining the Kueue What is Kueue? AI use cases for Kueue Other use cases for Kueue Introducing Red Hat Build of Kueue for OpenShift What next? Red Hat OpenShift Container Platform | Product Trial About the author Duncan Hardie More like this Blog post Blog post Original podcast Original podcast Keep exploring Browse by channel Automation Artificial intelligence Open hybrid cloud Security Edge computing Infrastructure Applications Virtualization Share Kueue is a community-driven project with the goal to develop a resource management system for Kubernetes that efficiently manages batch workloads. It enables sharing a Kubernetes cluster among teams and users in a fair, cost-effective, and efficient way. This blog post delves into what Kueue is, what its main use cases are, and introduces the Red Hat build of Kueue, a new operator from the Red Hat OpenShift team. Kueue operates by acting as a central controller that queues jobs and decides when and where they should run. It is designed to manage batch jobs effectively by providing advanced queuing, quota management, and resource sharing capabilities. Kueue helps in optimizing cluster utilization and ensuring that resources are allocated in a fair and efficient manner. Kueue is particularly useful in the AI space but there are other use cases. You can't examine Kueue use cases without considering AI. While AI seems to insert itself into every topic and conversation, Kueue really has a highly relevant part to play. Kueue is key in managing and optimizing AI workloads within Kubernetes environments. To put it another way, if you are doing AI related work then you should be using Kueue. Here are some of the main AI use cases: Job scheduling and prioritization: Kueue allows for the efficient scheduling and prioritization of AI training and inference jobs.