Fix display of lists in scheduling-gpus.md (#9609)
The lists are misparsed and displayed as normal paragraphs, add empty lines so that they are parsed as proper lists.
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@ -38,6 +38,7 @@ You can consume these GPUs from your containers by requesting
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`nvidia.com/gpu` just like you request `cpu` or `memory`.
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However, there are some limitations in how you specify the resource requirements
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when using GPUs:
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- GPUs are only supposed to be specified in the `limits` section, which means:
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* You can specify GPU `limits` without specifying `requests` because
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Kubernetes will use the limit as the request value by default.
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@ -74,6 +75,7 @@ There are currently two device plugin implementations for NVIDIA GPUs:
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The [official NVIDIA GPU device plugin](https://github.com/NVIDIA/k8s-device-plugin)
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has the following requirements:
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- Kubernetes nodes have to be pre-installed with NVIDIA drivers.
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- Kubernetes nodes have to be pre-installed with [nvidia-docker 2.0](https://github.com/NVIDIA/nvidia-docker)
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- nvidia-container-runtime must be configured as the [default runtime](https://github.com/NVIDIA/k8s-device-plugin#preparing-your-gpu-nodes)
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