# Kubernetes v1.36: More Drivers, New Features, and the Next Era of DRA

DevFeed: [Kubernetes v1.36: More Drivers, New Features, and the Next Era of DRA](<https://devfeed.tech/articles/kubernetes-v1-36-more-drivers-new-features-and-the-next-era-of-dra-4548.md>)

Original publisher: [Read original article](<https://kubernetes.io/blog/2026/05/07/kubernetes-v1-36-dra-136-updates/>)

Author: The DRA team

Published: 2026-05-07T18:35:00Z

Content type: article

Language: en

Sources: [Kubernetes Blog](<https://devfeed.tech/sources/kubernetes-blog.md>)

Topics: [Kubernetes](<https://devfeed.tech/topics/kubernetes.md>), [Hardware](<https://devfeed.tech/topics/hardware.md>), [systems](<https://devfeed.tech/topics/systems.md>), [networking](<https://devfeed.tech/topics/networking.md>), [Availability](<https://devfeed.tech/topics/availability.md>)

Tags: [availability](<https://devfeed.tech/tags/availability.md>), [drivers](<https://devfeed.tech/tags/drivers.md>), [feature](<https://devfeed.tech/tags/feature.md>), [hardware](<https://devfeed.tech/tags/hardware.md>), [infrastructure](<https://devfeed.tech/tags/infrastructure.md>), [kubernetes](<https://devfeed.tech/tags/kubernetes.md>), [release](<https://devfeed.tech/tags/release.md>), [resource](<https://devfeed.tech/tags/resource.md>), [resources](<https://devfeed.tech/tags/resources.md>), [systems](<https://devfeed.tech/tags/systems.md>), [v1](<https://devfeed.tech/tags/v1.md>)

## AI overview

Kubernetes v1.36 advances Dynamic Resource Allocation (DRA) with feature graduations, broader driver support, and improved handling of hardware and native resources. The article covers prioritized device requests, extended resource compatibility, partitionable devices, and support for sharing specialized hardware across workloads.

## Source excerpt

Dynamic Resource Allocation (DRA) has fundamentally changed how platform administrators handle hardware accelerators and specialized resources in Kubernetes. In the v1.36 release, DRA continues to mature, bringing a wave of feature graduations, critical usability improvements, and new capabilities that extend the flexibility of DRA to native resources like memory and CPU, and support for ResourceClaims in PodGroups. Driver availability continues to expand. Beyond specialized compute accelerators, the ecosystem includes support for networking and other hardware types, reflecting a move toward a more robust, hardware-agnostic infrastructure. Whether you are managing massive fleets of GPUs, need better handling of failures, or simply looking for better ways to define resource fallback options, the upgrades to DRA in 1.36 have something for you. Let's dive into the new features and graduations! Feature graduations The community has been hard at work stabilizing core DRA concepts. In Kubernetes 1.36, several highly anticipated features have graduated to Beta and Stable. Prioritized list (stable) Hardware heterogeneity is a reality in most clusters. With the Prioritized list feature, you can confidently define fallback preferences when requesting devices. Instead of hardcoding a request for a specific device model, you can specify an ordered list of preferences (e.g., "Give me an H100, but if none are available, fall back to an A100"). The scheduler will evaluate these requests in order, drastically improving scheduling flexibility and cluster utilization. Extended resource support (beta) As DRA becomes the standard for resource allocation, bridging the gap with legacy systems is crucial. The DRA Extended resource feature allows users to request resources via traditional extended resources on a Pod. This allows for a gradual transition to DRA, meaning cluster operators can migrate clusters to DRA but let application developers adopt the ResourceClaim API on their own sche