The goal of the recently formed WG Device Management is to enable simple and efficient configuration, sharing, and allocation of accelerators (such as GPUs and TPUs) and other specialized devices. This working group focuses on the APIs, abstractions, and feature designs needed to configure, target, and share the necessary hardware for both batch and serving (inference) workloads.

The current focus of the working group is the Dynamic Resource Allocation (DRA) feature. Come to this talk to learn what we have delivered in Kubernetes 1.31, what is coming in 1.32 and beyond, and how you can influence the roadmap for Kubernetes support of accelerated workloads.