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docs: rename nvidia.defaultMem to nvidia.defaultMemory in configure docs #451

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2 changes: 1 addition & 1 deletion docs/userguide/configure.md
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Expand Up @@ -25,7 +25,7 @@ You can update these configurations using one of the following methods:
| `nvidia.deviceSplitCount` | Integer | Maximum jobs assigned to a single GPU device. | `10` |
| `nvidia.migstrategy` | String | "none" for ignoring MIG features, "mixed" for allocating MIG devices by separate resources. | `"none"` |
| `nvidia.disablecorelimit` | String | "true" to disable core limit, "false" to enable core limit. | `"false"` |
| `nvidia.defaultMem` | Integer | The default device memory of the current job, in MB. '0' means using 100% of the device memory. | `0` |
| `nvidia.defaultMemory` | Integer | The default device memory of the current job, in MB. '0' means using 100% of the device memory. | `0` |
| `nvidia.defaultCores` | Integer | Percentage of GPU cores reserved for the current job. `0` allows any GPU with enough memory; `100` reserves the entire GPU exclusively. | `0` |
| `nvidia.defaultGPUNum` | Integer | Default number of GPUs. If set to `0`, it will be filtered out. If `nvidia.com/gpu` is not set in the pod resource, the webhook checks `nvidia.com/gpumem`, `resource-mem-percentage`, and `nvidia.com/gpucores`, adding `nvidia.com/gpu` with this default value if any of them are set. | `1` |
| `nvidia.memoryFactor` | Integer | During resource requests, the actual value of `nvidia.com/gpumem` will be multiplied by this factor. If `mock-device-plugin` is deployed, the actual value `nvidia.com/gpumem` in `node.status.capacity` will also be amplified by the corresponding multiple. | `1` |
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2 changes: 1 addition & 1 deletion i18n/zh/docusaurus-plugin-content-docs/current/userguide/configure.md
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Expand Up @@ -26,7 +26,7 @@ translated: true
| `nvidia.deviceSplitCount` | 整数 | 单块 GPU 可分配的最大任务数。 | `10` |
| `nvidia.migstrategy` | 字符串 | 设置为 `"none"` 表示忽略 MIG 功能，设置为 `"mixed"` 表示以独立资源方式分配 MIG 设备。 | `"none"` |
| `nvidia.disablecorelimit` | 字符串 | 设置为 `"true"` 表示禁用算力限制，设置为 `"false"` 表示启用算力限制。 | `"false"` |
| `nvidia.defaultMem` | 整数 | 当前任务默认使用的设备显存（MB）。若为 `0`，则表示使用设备 100% 显存。 | `0` |
| `nvidia.defaultMemory` | 整数 | 当前任务默认使用的设备显存（MB）。若为 `0`，则表示使用设备 100% 显存。 | `0` |
| `nvidia.defaultCores` | 整数 | 当前任务默认预留的 GPU 算力百分比。`0` 表示只要显存够就可用任何 GPU；`100` 表示独占整块 GPU。 | `0` |
| `nvidia.defaultGPUNum` | 整数 | 默认分配的 GPU 数量。若设为 `0`，则会被过滤。如果 Pod 的资源未显式设置 `nvidia.com/gpu`，则 Webhook 会检查是否设置了 `nvidia.com/gpumem`、`resource-mem-percentage` 或 `nvidia.com/gpucores`，若设置了其中任一项，则自动添加默认值的 `nvidia.com/gpu`。 | `1` |
| `nvidia.memoryFactor` | 整数 | 在资源申请时 `nvidia.com/gpumem` 的真实值会放大相应的倍数。如果部署了 `mock-device-plugin`，在 `node.status.capacity` 的真实值也会放大对应的倍数。 | `1` |
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2 changes: 1 addition & 1 deletion i18n/zh/docusaurus-plugin-content-docs/version-v2.8.0/userguide/configure.md
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Expand Up @@ -28,7 +28,7 @@ translated: true
| `nvidia.deviceSplitCount` | 整数 | 单块 GPU 可分配的最大任务数。 | `10` |
| `nvidia.migstrategy` | 字符串 | 设置为 `"none"` 表示忽略 MIG 功能，设置为 `"mixed"` 表示以独立资源方式分配 MIG 设备。 | `"none"` |
| `nvidia.disablecorelimit` | 字符串 | 设置为 `"true"` 表示禁用核心限制，设置为 `"false"` 表示启用核心限制。 | `"false"` |
| `nvidia.defaultMem` | 整数 | 当前任务默认使用的设备显存（MB）。若为 `0`，则表示使用设备 100% 显存。 | `0` |
| `nvidia.defaultMemory` | 整数 | 当前任务默认使用的设备显存（MB）。若为 `0`，则表示使用设备 100% 显存。 | `0` |
| `nvidia.defaultCores` | 整数 | 当前任务默认预留的 GPU 核心百分比。`0` 表示只要显存够就可用任何 GPU；`100` 表示独占整块 GPU。 | `0` |
| `nvidia.defaultGPUNum` | 整数 | 默认分配的 GPU 数量。若设为 `0`，则会被过滤。如果 Pod 的资源未显式设置 `nvidia.com/gpu`，则 webhook 会检查是否设置了 `nvidia.com/gpumem`、`resource-mem-percentage` 或 `nvidia.com/gpucores`，若设置了其中任一项，则自动添加默认值的 `nvidia.com/gpu`。 | `1` |
| `nvidia.resourceCountName` | 字符串 | vGPU 数量的资源名。 | `"nvidia.com/gpu"` |
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2 changes: 1 addition & 1 deletion versioned_docs/version-v2.8.0/userguide/configure.md
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Expand Up @@ -30,7 +30,7 @@ You can update these configurations using one of the following methods:
| `nvidia.deviceSplitCount` | Integer | Maximum jobs assigned to a single GPU device. | `10` |
| `nvidia.migstrategy` | String | "none" for ignoring MIG features, "mixed" for allocating MIG devices by separate resources. | `"none"` |
| `nvidia.disablecorelimit` | String | "true" to disable core limit, "false" to enable core limit. | `"false"` |
| `nvidia.defaultMem` | Integer | The default device memory of the current job, in MB. '0' means using 100% of the device memory. | `0` |
| `nvidia.defaultMemory` | Integer | The default device memory of the current job, in MB. '0' means using 100% of the device memory. | `0` |
| `nvidia.defaultCores` | Integer | Percentage of GPU cores reserved for the current job. `0` allows any GPU with enough memory; `100` reserves the entire GPU exclusively. | `0` |
| `nvidia.defaultGPUNum` | Integer | Default number of GPUs. If set to `0`, it will be filtered out. If `nvidia.com/gpu` is not set in the pod resource, the webhook checks `nvidia.com/gpumem`, `resource-mem-percentage`, and `nvidia.com/gpucores`, adding `nvidia.com/gpu` with this default value if any of them are set. | `1` |
| `nvidia.memoryFactor` | Integer | During resource requests, the actual value of `nvidia.com/gpumem` will be multiplied by this factor. If `mock-device-plugin` is deployed, the actual value `nvidia.com/gpumem` in `node.status.capacity` will also be amplified by the corresponding multiple. | `1` |
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