[docs] Update ascend910b-support.md (#816)

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

Author: windsonsea

docs/ascend910b-support.md

@@ -1,13 +1,12 @@
-## Introduction
+# Introduction to huawei.com/Ascend910 support
 
-**We now support huawei.com/Ascend910 by implementing most device-sharing features as nvidia-GPU**, including:
+**HAMi now supports huawei.com/Ascend910 by implementing most device-sharing features as nvidia-GPU**, including:
 
-***NPU sharing***: Each task can allocate a portion of Ascend NPU instead of a whole NLU card, thus NPU can be shared among multiple tasks.
+* **_NPU sharing_**: Each task can allocate a portion of Ascend NPU instead of a whole NLU card, thus NPU can be shared among multiple tasks.
 
-***Device Memory Control***: Ascend NPUs can be allocated with certain device memory size and guarantee it that it does not exceed the boundary.
-
-***Device Core Control***: Ascend NPUs can be allocated with certain compute cores and guarantee it that it does not exceed the boundary.
+* **_Device Memory Control_**: Ascend NPUs can be allocated with certain device memory size and guarantee it that it does not exceed the boundary.
 
+* **_Device Core Control_**: Ascend NPUs can be allocated with certain compute cores and guarantee it that it does not exceed the boundary.
 
 ## Prerequisites
 
@@ -20,29 +19,33 @@
 * Install the chart using helm, See 'enabling vGPU support in kubernetes' section [here](https://github.com/Project-HAMi/HAMi#enabling-vgpu-support-in-kubernetes)
 
 * Tag Ascend-910B node with the following command
-```
+
+```bash
 kubectl label node {ascend-node} accelerator=huawei-Ascend910
 ```
 
 * Install [Ascend docker runtime](https://gitee.com/ascend/ascend-docker-runtime)
 
 * Download yaml for Ascend-vgpu-device-plugin from HAMi Project [here](https://github.com/Project-HAMi/ascend-device-plugin/blob/master/build/ascendplugin-910-hami.yaml), and deploy
 
-```
+```bash
 wget https://raw.githubusercontent.com/Project-HAMi/ascend-device-plugin/master/build/ascendplugin-910-hami.yaml
 kubectl apply -f ascendplugin-910-hami.yaml
 ```
 
 ## Custom ascend share configuration
+
 HAMi currently has a [built-in share configuration](https://github.com/Project-HAMi/HAMi/blob/master/charts/hami/templates/scheduler/device-configmap.yaml) for ascend.
 
 You can customize the ascend share configuration by following the steps below:
 
 <details>
   <summary>customize ascend config</summary>
 
-  ### Create a new directory files in hami charts, the directory structure is as follows
-  
+  ### Create a new directory in hami charts
+
+  The directory structure is as follows:
+
   ```bash
   tree -L 1
   .
@@ -52,11 +55,13 @@ You can customize the ascend share configuration by following the steps below:
   └── values.yaml
   ```
 
-  ### Create the device-config.yaml file, the content is as follows
+  ### Create device-config.yaml
+
+  The content is as follows:
 
   ```yaml
   vnpus:
-- chipName: 910B
+  - chipName: 910B
   commonWord: Ascend910A
   resourceName: huawei.com/Ascend910A
   resourceMemoryName: huawei.com/Ascend910A-memory
@@ -76,7 +81,7 @@ You can customize the ascend share configuration by following the steps below:
     - name: vir16
       memory: 17476
       aiCore: 16
-- chipName: 910B3
+  - chipName: 910B3
   commonWord: Ascend910B
   resourceName: huawei.com/Ascend910B
   resourceMemoryName: huawei.com/Ascend910B-memory
@@ -93,7 +98,7 @@ You can customize the ascend share configuration by following the steps below:
       memory: 32768
       aiCore: 10
       aiCPU: 3
-- chipName: 310P3
+  - chipName: 310P3
   commonWord: Ascend310P
   resourceName: huawei.com/Ascend310P
   resourceMemoryName: huawei.com/Ascend310P-memory
@@ -115,16 +120,19 @@ You can customize the ascend share configuration by following the steps below:
       aiCore: 4
       aiCPU: 4
   ```
-  ### Helm installation and updates will be based on the configuration in this file, overwriting the built-in configuration of Helm
-</details>
 
+  ### Install and update with Helm
+
+  Helm installation and updates will be based on the configuration in this file, overwriting the built-in configuration of Helm.
+
+</details>
 
 ## Running Ascend jobs
 
 Ascend 910Bs can now be requested by a container
 using the `huawei.com/ascend910` and `huawei.com/ascend910-memory` resource type:
 
-```
+```yaml
 apiVersion: v1
 kind: Pod
 metadata:
@@ -146,4 +154,4 @@ spec:
 
 1. Ascend-910B-sharing in init container is not supported.
 
-2. `huawei.com/Ascend910-memory` only work when `huawei.com/Ascend910=1`. 
+1. `huawei.com/Ascend910-memory` only work when `huawei.com/Ascend910=1`.

docs/ascend910b-support_cn.md

@@ -1,46 +1,51 @@
-## 简介
+# huawei.com/Ascend910 支持简介
 
-本组件支持复用华为升腾910B设备，并为此提供以下几种与vGPU类似的复用功能，包括：
+HAMi 支持复用华为升腾 910B 设备，并为此提供以下几种与 vGPU 类似的复用功能，包括：
 
-*** NPU 共享***: 每个任务可以只占用一部分显卡，多个任务可以共享一张显卡
+* **_NPU 共享_**: 每个任务可以只占用一部分显卡，多个任务可以共享一张显卡
 
-***可限制分配的显存大小***: 你现在可以用显存值（例如3000M）来分配NPU，本组件会确保任务使用的显存不会超过分配数值
+* **_可限制分配的显存大小_**: 你现在可以用显存值（例如 3000M）来分配 NPU，本组件会确保任务使用的显存不会超过分配数值
 
-***可限制分配的算力大小***: 你现在可以用百分比来分配 NPU的算力，本组件会确保任务使用的算力不会超过分配数值
+* **_可限制分配的算力大小_**: 你现在可以用百分比来分配 NPU 的算力，本组件会确保任务使用的算力不会超过分配数值
 
 ## 节点需求
 
 * Ascend docker runtime
 * driver version > 24.1.rc1
 * Ascend device type: 910B,910B3,310P
 
-## 开启NPU复用
+## 开启 NPU 复用
 
-* 通过helm部署本组件, 参照[主文档中的开启vgpu支持章节](https://github.com/Project-HAMi/HAMi/blob/master/README_cn.md#kubernetes开启vgpu支持)
+* 通过 helm 部署本组件, 参照[主文档中的开启 vGPU 支持章节](https://github.com/Project-HAMi/HAMi/blob/master/README_cn.md#kubernetes开启vgpu支持)
 
-* 使用以下指令，为Ascend 910B所在节点打上label
-```
+* 使用以下指令，为 Ascend 910B 所在节点打上 label
+
+```bash
 kubectl label node {ascend-node} accelerator=huawei-Ascend910
 ```
 
 * 部署[Ascend docker runtime](https://gitee.com/ascend/ascend-docker-runtime)
 
-* 从HAMi项目中获取并安装[ascend-device-plugin](https://github.com/Project-HAMi/ascend-device-plugin/blob/master/build/ascendplugin-910-hami.yaml)，并进行部署
+* 从 HAMi 项目中获取并安装[ascend-device-plugin](https://github.com/Project-HAMi/ascend-device-plugin/blob/master/build/ascendplugin-910-hami.yaml)，并进行部署
 
-```
+```bash
 wget https://raw.githubusercontent.com/Project-HAMi/ascend-device-plugin/master/build/ascendplugin-910-hami.yaml
 kubectl apply -f ascendplugin-910-hami.yaml
 ```
 
 ## 自定义 NPU 虚拟化参数
+
 HAMi 目前有一个 NPU 内置[虚拟化配置文件](https://github.com/Project-HAMi/HAMi/blob/master/charts/hami/templates/scheduler/device-configmap.yaml).
 
 当然 HAMi 也支持通过以下方式自定义虚拟化参数:
+
 <details>
   <summary>自定义配置</summary>
 
-  ### 在 HAMi charts 创建 files 的目录，创建后的目录架构应为如下所示
-  
+  ### 在 HAMi charts 创建 files 的目录
+
+  创建后的目录架构应为如下所示：
+
   ```bash
   tree -L 1
   .
@@ -50,11 +55,13 @@ HAMi 目前有一个 NPU 内置[虚拟化配置文件](https://github.com/Projec
   └── values.yaml
   ```
 
-  ### 在 files 目录下创建 Create the device-config.yaml 文件，配置文件如下所示, 可以按需调整
+  ### 在 files 目录下创建 device-config.yaml
+
+  配置文件如下所示，可以按需调整：
 
   ```yaml
   vnpus:
-- chipName: 910B
+  - chipName: 910B
   commonWord: Ascend910A
   resourceName: huawei.com/Ascend910A
   resourceMemoryName: huawei.com/Ascend910A-memory
@@ -74,7 +81,7 @@ HAMi 目前有一个 NPU 内置[虚拟化配置文件](https://github.com/Projec
     - name: vir16
       memory: 17476
       aiCore: 16
-- chipName: 910B3
+  - chipName: 910B3
   commonWord: Ascend910B
   resourceName: huawei.com/Ascend910B
   resourceMemoryName: huawei.com/Ascend910B-memory
@@ -91,7 +98,7 @@ HAMi 目前有一个 NPU 内置[虚拟化配置文件](https://github.com/Projec
       memory: 32768
       aiCore: 10
       aiCPU: 3
-- chipName: 310P3
+  - chipName: 310P3
   commonWord: Ascend310P
   resourceName: huawei.com/Ascend310P
   resourceMemoryName: huawei.com/Ascend310P-memory
@@ -113,13 +120,19 @@ HAMi 目前有一个 NPU 内置[虚拟化配置文件](https://github.com/Projec
       aiCore: 4
       aiCPU: 4
   ```
-  ### Helm 安装、更新将基于该配置文件，覆盖默认的配置文件
+
+  ### Helm 安装和更新
+
+  Helm 安装、更新将基于该配置文件，覆盖默认的配置文件
+
 </details>
 
+## 运行 NPU 任务
 
-## 运行NPU任务
+现在使用 `huawei.com/ascend910` 和 `huawei.com/ascend910-memory` 资源类型，
+可以通过容器来请求 Ascend 910B：
 
-```
+```yaml
 apiVersion: v1
 kind: Pod
 metadata:
@@ -131,14 +144,14 @@ spec:
       command: ["bash", "-c", "sleep 86400"]
       resources:
         limits:
-          huawei.com/Ascend910: 1 # requesting 1 vGPUs
-          huawei.com/Ascend910-memory: 2000 # requesting 2000m device memory
+          huawei.com/Ascend910: 1 # 请求 1 个 vGPU
+          huawei.com/Ascend910-memory: 2000 # 请求 2000m 设备内容
 ```
 
 ## 注意事项
 
-1. 目前Ascend910B设备，只支持2种粒度的切分，分别是1/4卡和1/2卡，分配的显存会自动对齐到在分配额之上最近的粒度上
+1. 目前 Ascend910B 设备，只支持 2 种粒度的切分，分别是 1/4 卡和 1/2 卡，分配的显存会自动对齐到在分配额之上最近的粒度上
 
-2. 在init container中无法使用NPU复用功能
+2. 在 init container 中无法使用 NPU 复用功能
 
-3. 只有申请单MLU的任务可以指定显存`Ascend910-memory`的数值，若申请的NPU数量大于1，则所有申请的NPU都会被整卡分配 
+3. 只有申请单 MLU 的任务可以指定显存 `Ascend910-memory` 的数值，若申请的 NPU 数量大于 1，则所有申请的 NPU 都会被整卡分配