[zh] sync scheduling-gpus.md

Signed-off-by: SSmallMonster <[email protected]>

Author: SSmallMonster

content/zh-cn/docs/tasks/manage-gpus/scheduling-gpus.md

@@ -145,87 +145,7 @@ At the moment, that controller can add labels for:
 如果你在使用 AMD GPU，你可以部署
 [Node Labeller](https://github.com/RadeonOpenCompute/k8s-device-plugin/tree/master/cmd/k8s-node-labeller)，
 它是一个 {{< glossary_tooltip text="控制器" term_id="controller" >}}，
-会自动给节点打上 GPU 设备属性标签。目前支持的属性：
-
-<!--
-* Device ID (-device-id)
-* VRAM Size (-vram)
-* Number of SIMD (-simd-count)
-* Number of Compute Unit (-cu-count)
-* Firmware and Feature Versions (-firmware)
-* GPU Family, in two letters acronym (-family)
-  * SI - Southern Islands
-  * CI - Sea Islands
-  * KV - Kaveri
-  * VI - Volcanic Islands
-  * CZ - Carrizo
-  * AI - Arctic Islands
-  * RV - Raven
---->
-* 设备 ID (-device-id)
-* VRAM 大小 (-vram)
-* SIMD 数量(-simd-count)
-* 计算单位数量(-cu-count)
-* 固件和特性版本 (-firmware)
-* GPU 系列，两个字母的首字母缩写(-family)
-  * SI - Southern Islands
-  * CI - Sea Islands
-  * KV - Kaveri
-  * VI - Volcanic Islands
-  * CZ - Carrizo
-  * AI - Arctic Islands
-  * RV - Raven
-
-```shell
-kubectl describe node cluster-node-23
-```
-
-```
-Name:               cluster-node-23
-Roles:              <none>
-Labels:             beta.amd.com/gpu.cu-count.64=1
-                    beta.amd.com/gpu.device-id.6860=1
-                    beta.amd.com/gpu.family.AI=1
-                    beta.amd.com/gpu.simd-count.256=1
-                    beta.amd.com/gpu.vram.16G=1
-                    kubernetes.io/arch=amd64
-                    kubernetes.io/os=linux
-                    kubernetes.io/hostname=cluster-node-23
-Annotations:        node.alpha.kubernetes.io/ttl: 0
-…
-```
-
-<!--
-With the Node Labeller in use, you can specify the GPU type in the Pod spec:
--->
-使用了 Node Labeller 的时候，你可以在 Pod 的规约中指定 GPU 的类型：
-
-```yaml
-apiVersion: v1
-kind: Pod
-metadata:
-  name: cuda-vector-add
-spec:
-  restartPolicy: OnFailure
-  containers:
-    - name: cuda-vector-add
-      # https://github.com/kubernetes/kubernetes/blob/v1.7.11/test/images/nvidia-cuda/Dockerfile
-      image: "registry.k8s.io/cuda-vector-add:v0.1"
-      resources:
-        limits:
-          nvidia.com/gpu: 1
-  affinity:
-    nodeAffinity:
-      requiredDuringSchedulingIgnoredDuringExecution:
-        nodeSelectorTerms:
-        – matchExpressions:
-          – key: beta.amd.com/gpu.family.AI # Arctic Islands GPU 系列
-            operator: Exist
-```
-
-<!--
-This ensures that the Pod will be scheduled to a node that has the GPU type
-you specified.
--->
-这能够保证 Pod 能够被调度到你所指定类型的 GPU 的节点上去。
+会自动给节点打上 GPU 设备属性标签。
 
+对于 NVIDIA GPU，[GPU feature discovery](https://github.com/NVIDIA/gpu-feature-discovery/blob/main/README.md)
+提供了类似功能。