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Kubernetes Dynamic Resource Allocation (DRA) is a new way of sharing host level resources into pods. These resources include GPU devices, high performance networking, and other hardware that a workload may need access to. DRA is enabled by default as a beta feature in Kubernetes 1.34 and can also be enabled in Kubernetes 1.33. DRA replaces devices plugins for accesing resources from workloads.

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Enable DRA in the cluster

Make sure the cluster has DRA enabled (Kubernetes 1.34+) or uses the following patch to enable the feature. This patch can be applied to all nodes in the cluster via talosctl or via Omni. 
machine:
  kubelet:
    extraArgs:
      feature-gates: DynamicResourceAllocation=true
cluster:
  apiServer:
    extraArgs:
      feature-gates: DynamicResourceAllocation=true
  controllerManager:
    extraArgs:
      feature-gates: DynamicResourceAllocation=true
  scheduler:
    extraArgs:
      feature-gates: DynamicResourceAllocation=true
You should have at least one node in the cluster with NVIDIA hardware and configured via the NVIDIA system extension and patch

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1. Deploy the NVIDIA DRA plugin via helm

Use helm to install the DRA plugin. 
helm repo add nvidia https://helm.ngc.nvidia.com/nvidia
helm repo update
Install the driver in the kube-system namespace or create a new namespace and label it with appropriate Pod Security Admission. 
helm install nvidia-dra-driver-gpu nvidia/nvidia-dra-driver-gpu \
    --version="25.8.0" \
    --namespace kube-system \
    --set resources.gpus.enabled=false \
    --set nvidiaDriverRoot=/usr/local/glibc/lib
Check the kubelet plugin pod is running. 
kubectl get pods -n kube-system -l app.kubernetes.io/name=nvidia-dra-driver-gpu
Verify ResourceSlice objects 
kubectl get resourceslices -o yaml

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2. Deploy test workload

Create a pod that consumes the ResourceSlice via a ResourceClaimTemplate. 
apiVersion: v1
kind: Pod
metadata:
  name: dra-example-workload
spec:
  runtimeClassName: nvidia
  restartPolicy: OnFailure
  resourceClaims:
  - name: gpu-claim
    resourceClaimTemplateName: gpu-template
  containers:
  - name: cuda-container
    image: "nvcr.io/nvidia/cloud-native/gpu-operator-validator:v25.3.4"
    resources:
      claims:
      - name: gpu-claim
---
apiVersion: resource.k8s.io/v1beta1
kind: ResourceClaimTemplate
metadata:
  name: gpu-template
spec:
  spec:
    devices:
      requests:
      - name: gpu
        deviceClassName: gpu.nvidia.com
        selectors:
        - cel:
            expression: 'device.attributes["type"].string == "gpu"'

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Notes

DRA is currently a beta Kubernetes feature and it is likely that it will change in the future. Make sure you consult your hardware vendor’s documentation for up-to-date configuration and deployment guides.