---
title: "Kueue"
description: "1 posts about Kueue, summarised, each linking to the original."
---

# Kueue
> 1 posts about Kueue, summarised, each linking to the original.

## Articles

### [Smarter GPU sharing: How Red Hat build of Kueue works with dynamic resource allocation](https://yomu.fyi/post/smarter-gpu-sharing-how-red-hat-build-of-kueue-works-with-dynamic-reso.md)
- Company: [Red Hat](https://yomu.fyi/company/red-hat.md)
- Author: Pannaga Rao Bhoja Ramamanohara
- Published: Oct 2, 2026
- Type: Explainer

The Kubernetes device plugin model treats GPUs as anonymous integers, making fair sharing impossible because a full 80 GB GPU and a 5 GB partition both consume ‘1’ from the same quota. Dynamic resource allocation (DRA), generally available in Kubernetes 1.34, replaces this by having drivers advertise real device attributes like memory and compute capability, but DRA alone does not address quota management or preemption. Red Hat build of Kueue 1.4 on Red Hat OpenShift integrates with DRA to enforce quota, borrowing, and preemption for both whole GPUs and partitionable devices using device-count or counter-based memory accounting. For partitionable GPUs, Kueue reads counter data from DRA drivers and charges GPU memory against ClusterQueue quota instead of device count, enabling accurate fair sharing between training and inference workloads. Future developments include extended resources for simpler adoption without ResourceClaimTemplates, consumable capacity for dynamic time-slicing, and scheduler-library integration to verify scheduling feasibility.