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Update device-plugins.md to add Example link (#9531)

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Added link to Intel device plugins repo. 
Minor grammar/punctuation edits to make Example bullets parallel.
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Mary Camp
2018-07-17 01:36:38 -04:00
committed by k8s-ci-robot
parent 7c8fe61558
commit 6c895b329d
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content/en/docs/concepts/extend-kubernetes/compute-storage-net/device-plugins.md
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@@ -141,12 +141,13 @@ ensure the continuous functioning of the device allocations during the upgrade.
For examples of device plugin implementations, see:
* The official [NVIDIA GPU device plugin](https://github.com/NVIDIA/k8s-device-plugin)
* it requires using [nvidia-docker 2.0](https://github.com/NVIDIA/nvidia-docker) which allows you to run GPU enabled docker containers
* The [NVIDIA GPU device plugin for COS base OS](https://github.com/GoogleCloudPlatform/container-engine-accelerators/tree/master/cmd/nvidia_gpu).
* Requires [nvidia-docker 2.0](https://github.com/NVIDIA/nvidia-docker) which allows you to run GPU enabled docker containers.
* The [NVIDIA GPU device plugin for COS base 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 [AMD GPU device plugin](https://github.com/RadeonOpenCompute/k8s-device-plugin)
* The [SRIOV Network device plugin](https://github.com/intel/sriov-network-device-plugin)
* The [Intel device plugins](https://github.com/intel/intel-device-plugins-for-kubernetes) for GPU and FPGA devices
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