> For the complete documentation index, see [llms.txt](https://docs.platform9.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.platform9.com/managed-kubernetes/5.7/advanced-cluster-configuration/device-plugins.md).

# Device Plugins

Kubernetes provides the Device Plugin framework that lets device manufacturers advertise system hardware resources to kubelet. Kubelet can then use this information to make the appropriate allocations for pods. Some examples of device plugins supported are:

The [AMD GPU device plugin](https://github.com/RadeonOpenCompute/k8s-device-plugin)

The [Intel device plugins](https://github.com/intel/intel-device-plugins-for-kubernetes) for Intel GPU, FPGA and QuickAssist device

The [KubeVirt device plugins](https://github.com/kubevirt/kubernetes-device-plugins) for hardware-assisted virtualization

The [NVIDIA GPU device plugin](https://github.com/NVIDIA/k8s-device-plugin)

Requires [nvidia-docker](https://github.com/NVIDIA/nvidia-docker) 2.0, which allows you to run GPU-enabled Docker containers

The [NVIDIA GPU device plugin for Container-Optimized OS](https://github.com/GoogleCloudPlatform/container-engine-accelerators/tree/master/cmd/nvidia_gpu)

The [RDMA device plugin](https://github.com/hustcat/k8s-rdma-device-plugin)

The [Solarflare device plugin](https://github.com/vikaschoudhary16/sfc-device-plugin)

The [SR-IOV Network device plugin](https://github.com/intel/sriov-network-device-plugin)

The [Xilinx FPGA device plugins](https://github.com/Xilinx/FPGA_as_a_Service/tree/master/k8s-fpga-device-plugin) for Xilinx FPGA devices


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