diff --git a/docs/contributor/roadmap.md b/docs/contributor/roadmap.md index 193026929..aef0c7461 100644 --- a/docs/contributor/roadmap.md +++ b/docs/contributor/roadmap.md @@ -11,7 +11,7 @@ sidebar_label: Roadmap | GPU | NVIDIA | All | Yes | Yes | Yes | | MLU | Cambricon | 370, 590 | Yes | Yes | No | | GCU | Enflame | S60 | Yes | Yes | No | -| DCU | Hygon | Z100, Z100L | Yes | Yes | No | +| DCU | Hygon | All | Yes | Yes | No | | NPU | Huawei Ascend | 310P, 910B, 910B3 | Yes | Yes | No | | GPU | Iluvatar | All | Yes | Yes | No | | DPU | Teco | Checking | In progress | In progress | No | diff --git a/docs/faq/faq.md b/docs/faq/faq.md index f06caae28..3931bd4dc 100644 --- a/docs/faq/faq.md +++ b/docs/faq/faq.md @@ -8,7 +8,7 @@ title: FAQ | --- | --- | --- | --- | | NVIDIA | Almost all mainstream consumer and data center GPUs | Core 1%, Memory 1M | Supported. Multi-GPU can still be split and shared using virtualization. | | Huawei Ascend | 910A, 910B2, 910B3, 310P | Minimum granularity depends on the card type template. Refer to the [official templates](https://www.hiascend.com/document/detail/zh/mindx-dl/50rc1/AVI/cpaug/cpaug_0005.html). | Supported, but splitting is not supported when `npu > 1`. The entire card is exclusively allocated. | -| Hygon | Z100, Z100L | Core 1%, Memory 1M | Supported, but splitting is not supported when `dcu > 1`. The entire card is exclusively allocated. | +| Hygon | All | Core 1%, Memory 1M | Supported, but splitting is not supported when `dcu > 1`. The entire card is exclusively allocated. | | Cambricon | 370, 590 | Core 1%, Memory 256M | Supported, but splitting is not supported when `mlu > 1`. The entire card is exclusively allocated. | | Iluvatar | All | Core 1%, Memory 256M | Supported, but splitting is not supported when `gpu > 1`. The entire card is exclusively allocated. | | Moore Threads | MTT S4000 | Core 1 core group, Memory 512M | Supported, but splitting is not supported when `gpu > 1`. The entire card is exclusively allocated. | diff --git a/docs/userguide/device-supported.md b/docs/userguide/device-supported.md index 4249cb846..a6beae4d0 100644 --- a/docs/userguide/device-supported.md +++ b/docs/userguide/device-supported.md @@ -9,7 +9,7 @@ The table below lists the devices supported by HAMi: | ---- | ------------- | ----------------------- | --------------- | ------------- | ----------------- | | GPU | NVIDIA | All | Yes | Yes | Yes | | MLU | Cambricon | 370, 590 | Yes | Yes | No | -| DCU | Hygon | Z100, Z100L | Yes | Yes | No | +| DCU | Hygon | All | Yes | Yes | No | | NPU | Huawei Ascend | 910B, 910B3, 910C, 310P | Yes | Yes | No | | GPU | Iluvatar | All | Yes | Yes | No | | GPU | Mthreads | MTT S4000 | Yes | Yes | No | diff --git a/i18n/zh/docusaurus-plugin-content-docs/current/contributor/roadmap.md b/i18n/zh/docusaurus-plugin-content-docs/current/contributor/roadmap.md index 73e06d206..e8a2961a3 100644 --- a/i18n/zh/docusaurus-plugin-content-docs/current/contributor/roadmap.md +++ b/i18n/zh/docusaurus-plugin-content-docs/current/contributor/roadmap.md @@ -12,7 +12,7 @@ sidebar_label: 路线图 | GPU | NVIDIA | 全系列 | 是 | 是 | 是 | | MLU | Cambricon | 370、590 | 是 | 是 | 否 | | GCU | Enflame | S60 | 是 | 是 | 否 | -| DCU | Hygon | Z100、Z100L | 是 | 是 | 否 | +| DCU | Hygon | 全系列 | 是 | 是 | 否 | | NPU | Huawei Ascend | 310P、910B、910B3 | 是 | 是 | 否 | | GPU | Iluvatar | 全系列 | 是 | 是 | 否 | | DPU | Teco | 检查中 | 进行中 | 进行中 | 否 | diff --git a/i18n/zh/docusaurus-plugin-content-docs/current/faq/faq.md b/i18n/zh/docusaurus-plugin-content-docs/current/faq/faq.md index 584e3334f..2c11f2dc6 100644 --- a/i18n/zh/docusaurus-plugin-content-docs/current/faq/faq.md +++ b/i18n/zh/docusaurus-plugin-content-docs/current/faq/faq.md @@ -8,7 +8,7 @@ title: 常见问题 | --- | --- | --- | --- | | NVIDIA | 几乎所有主流消费级和数据中心 GPU | 核心 1%，显存 1M | 支持。多 GPU 仍可通过虚拟化进行拆分和共享。 | | 昇腾 | 910A、910B2、910B3、310P | 最小粒度取决于卡类型模板。参考[官方模板](https://www.hiascend.com/document/detail/zh/mindx-dl/50rc1/AVI/cpaug/cpaug_0005.html)。 | 支持，但当 `npu > 1` 时不支持拆分，整卡独占。 | -| 海光 | Z100、Z100L、K100-AI | 核心 1%，显存 1M | 支持，但当 `dcu > 1` 时不支持拆分，整卡独占。 | +| 海光 | 全部 | 核心 1%，显存 1M | 支持，但当 `dcu > 1` 时不支持拆分，整卡独占。 | | 寒武纪 | 370、590 | 核心 1%，显存 256M | 支持，但当 `mlu > 1` 时不支持拆分，整卡独占。 | | 天数智芯 | 全部 | 核心 1%，显存 256M | 支持，但当 `gpu > 1` 时不支持拆分，整卡独占。 | | 摩尔线程 | MTT S4000 | 核心为 1 个核心组，显存 512M | 支持，但当 `gpu > 1` 时不支持拆分，整卡独占。 | diff --git a/i18n/zh/docusaurus-plugin-content-docs/current/userguide/device-supported.md b/i18n/zh/docusaurus-plugin-content-docs/current/userguide/device-supported.md index d133f2900..2bec06cbc 100644 --- a/i18n/zh/docusaurus-plugin-content-docs/current/userguide/device-supported.md +++ b/i18n/zh/docusaurus-plugin-content-docs/current/userguide/device-supported.md @@ -10,7 +10,7 @@ HAMi 支持的设备如下表所示： | -------- | ------------------------- | --------------------------- | -------- | -------- | -------- | | GPU | 英伟达（NVIDIA） | 全系列 | 是 | 是 | 是 | | MLU | 寒武纪（Cambricon） | 370、590 | 是 | 是 | 否 | -| DCU | 海光（Hygon） | Z100、Z100L | 是 | 是 | 否 | +| DCU | 海光（Hygon） | 全系列 | 是 | 是 | 否 | | NPU | 华为昇腾（Huawei Ascend） | 910B、910B3、910C、310P | 是 | 是 | 否 | | GPU | 天数智芯（Iluvatar） | 全部 | 是 | 是 | 否 | | GPU | 摩尔线程（Mthreads） | MTT S4000 | 是 | 是 | 否 | diff --git a/i18n/zh/docusaurus-plugin-content-docs/version-v1.3.0/userguide/device-supported.md b/i18n/zh/docusaurus-plugin-content-docs/version-v1.3.0/userguide/device-supported.md index a013adf4d..37f1b8e9a 100644 --- a/i18n/zh/docusaurus-plugin-content-docs/version-v1.3.0/userguide/device-supported.md +++ b/i18n/zh/docusaurus-plugin-content-docs/version-v1.3.0/userguide/device-supported.md @@ -4,11 +4,11 @@ title: Device supported by HAMi The view of device supported by HAMi is shown in this table below: -| Production | manufactor | Type |MemoryIsolation | CoreIsolation | MultiCard support | +| Production | Manufacturer | Type |MemoryIsolation | CoreIsolation | MultiCard support | |-------------|------------|-------------|-----------|---------------|-------------------| | GPU | NVIDIA | All | Yes | Yes | Yes | | MLU | Cambricon | 370, 590 | Yes | Yes | No | -| DCU | Hygon | Z100, Z100L | Yes | Yes | No | +| DCU | Hygon | All | Yes | Yes | No | | Huawei Ascend | Huawei | 910B, 910B3, 310P | Yes | Yes | No | | GPU | iluvatar | All | Yes | Yes | No | | GPU | Mthreads | MTT S4000 | Yes | Yes | No | diff --git a/i18n/zh/docusaurus-plugin-content-docs/version-v2.5.0/userguide/device-supported.md b/i18n/zh/docusaurus-plugin-content-docs/version-v2.5.0/userguide/device-supported.md index 6ce8c1990..c13c6f86d 100644 --- a/i18n/zh/docusaurus-plugin-content-docs/version-v2.5.0/userguide/device-supported.md +++ b/i18n/zh/docusaurus-plugin-content-docs/version-v2.5.0/userguide/device-supported.md @@ -5,12 +5,12 @@ translated: true HAMi 支持的设备如下表所示： -| 类型 | 制造商 | 型号 | 内存隔离 | 核心隔离 | 多卡支持 | -|-----|-------|-----|---------|---------|--------| -| GPU | 英伟达 | 全部 | Yes | Yes | Yes | -| MLU | 寒武纪 | 370, 590 | Yes | Yes | No | -| DCU | 中科海光 | Z100, Z100L | Yes | Yes | No | +| 类型 | 制造商 | 型号 | 内存隔离 | 核心隔离 | 多卡支持 | +|-----|-------|-------------------|---------|---------|--------| +| GPU | 英伟达 | 全部 | Yes | Yes | Yes | +| MLU | 寒武纪 | 370, 590 | Yes | Yes | No | +| DCU | 中科海光 | 全部 | Yes | Yes | No | | NPU | 华为昇腾 | 910B, 910B3, 310P | Yes | Yes | No | -| GPU | 天数智芯 | 全部 | Yes | Yes | No | -| GPU | 摩尔线程 | MTT S4000 | Yes | Yes | No | -| DPU | Teco | 检查中 | 进行中 | 进行中 | No | +| GPU | 天数智芯 | 全部 | Yes | Yes | No | +| GPU | 摩尔线程 | MTT S4000 | Yes | Yes | No | +| DPU | Teco | 检查中 | 进行中 | 进行中 | No | diff --git a/i18n/zh/docusaurus-plugin-content-docs/version-v2.5.1/userguide/device-supported.md b/i18n/zh/docusaurus-plugin-content-docs/version-v2.5.1/userguide/device-supported.md index bd407c87b..44b3aa6e1 100644 --- a/i18n/zh/docusaurus-plugin-content-docs/version-v2.5.1/userguide/device-supported.md +++ b/i18n/zh/docusaurus-plugin-content-docs/version-v2.5.1/userguide/device-supported.md @@ -9,7 +9,7 @@ HAMi支持的设备视图如下表所示： |-------------|------------|-------------|-----------|---------------|-------------------| | GPU | NVIDIA | 全部 | Yes | Yes | Yes | | MLU | Cambricon | 370, 590 | Yes | Yes | No | -| DCU | Hygon | Z100, Z100L | Yes | Yes | No | +| DCU | Hygon | 全部 | Yes | Yes | No | | Huawei Ascend | Huawei | 910B, 910B3, 310P | Yes | Yes | No | | GPU | iluvatar | 全部 | Yes | Yes | No | | GPU | Mthreads | MTT S4000 | Yes | Yes | No | diff --git a/i18n/zh/docusaurus-plugin-content-docs/version-v2.6.0/faq/faq.md b/i18n/zh/docusaurus-plugin-content-docs/version-v2.6.0/faq/faq.md index 0f61d4092..d955be8ff 100644 --- a/i18n/zh/docusaurus-plugin-content-docs/version-v2.6.0/faq/faq.md +++ b/i18n/zh/docusaurus-plugin-content-docs/version-v2.6.0/faq/faq.md @@ -5,15 +5,15 @@ title: 常见问题 ## 支持的设备厂商及具体型号 -| **GPU 厂商** | **GPU 型号** | **粒度** | **多 GPU 支持** | -| --- | --- | --- | --- | -| NVIDIA | 几乎所有主流消费级和数据中心 GPU | 核心 1%，显存 1M | 支持。多 GPU 仍可通过虚拟化进行拆分和共享。 | +| **GPU 厂商** | **GPU 型号** | **粒度** | **多 GPU 支持** | +| --- |-----------------------| --- | --- | +| NVIDIA | 几乎所有主流消费级和数据中心 GPU | 核心 1%，显存 1M | 支持。多 GPU 仍可通过虚拟化进行拆分和共享。 | | 昇腾 | 910A、910B2、910B3、310P | 最小粒度取决于卡类型模板。参考[官方模板](https://www.hiascend.com/document/detail/zh/mindx-dl/50rc1/AVI/cpaug/cpaug_0005.html)。 | 支持，但当 `npu > 1` 时不支持拆分，整卡独占。 | -| 海光 | Z100、Z100L、K100-AI | 核心 1%，显存 1M | 支持，但当 `dcu > 1` 时不支持拆分，整卡独占。 | -| 寒武纪 | 370、590 | 核心 1%，显存 256M | 支持，但当 `mlu > 1` 时不支持拆分，整卡独占。 | -| 天数智芯 | 全部 | 核心 1%，显存 256M | 支持，但当 `gpu > 1` 时不支持拆分，整卡独占。 | -| 摩尔线程 | MTT S4000 | 核心为 1 个核心组，显存 512M | 支持，但当 `gpu > 1` 时不支持拆分，整卡独占。 | -| 魅特思 | MXC500 | 不支持拆分，只能整卡分配。 | 支持，但所有分配均为整卡。 | +| 海光 | 全部 | 核心 1%，显存 1M | 支持，但当 `dcu > 1` 时不支持拆分，整卡独占。 | +| 寒武纪 | 370、590 | 核心 1%，显存 256M | 支持，但当 `mlu > 1` 时不支持拆分，整卡独占。 | +| 天数智芯 | 全部 | 核心 1%，显存 256M | 支持，但当 `gpu > 1` 时不支持拆分，整卡独占。 | +| 摩尔线程 | MTT S4000 | 核心为 1 个核心组，显存 512M | 支持，但当 `gpu > 1` 时不支持拆分，整卡独占。 | +| 魅特思 | MXC500 | 不支持拆分，只能整卡分配。 | 支持，但所有分配均为整卡。 | ## 什么是 vGPU？为什么看到 10 个 vGPU 却无法在同一张卡上分配两个 vGPU？ diff --git a/i18n/zh/docusaurus-plugin-content-docs/version-v2.6.0/userguide/device-supported.md b/i18n/zh/docusaurus-plugin-content-docs/version-v2.6.0/userguide/device-supported.md index a5657af34..19536b6ca 100644 --- a/i18n/zh/docusaurus-plugin-content-docs/version-v2.6.0/userguide/device-supported.md +++ b/i18n/zh/docusaurus-plugin-content-docs/version-v2.6.0/userguide/device-supported.md @@ -9,7 +9,7 @@ HAMi支持的设备视图如下表所示： |-------------|------------|-------------|-----------|---------------|-------------------| | GPU | NVIDIA | 全部 | Yes | Yes | Yes | | MLU | Cambricon | 370, 590 | Yes | Yes | No | -| DCU | Hygon | Z100, Z100L | Yes | Yes | No | +| DCU | Hygon | 全部 | Yes | Yes | No | | Huawei Ascend | Huawei | 910B, 910B3, 310P | Yes | Yes | No | | GPU | iluvatar | 全部 | Yes | Yes | No | | GPU | Mthreads | MTT S4000 | Yes | Yes | No | diff --git a/i18n/zh/docusaurus-plugin-content-docs/version-v2.7.0/faq/faq.md b/i18n/zh/docusaurus-plugin-content-docs/version-v2.7.0/faq/faq.md index 0f61d4092..d955be8ff 100644 --- a/i18n/zh/docusaurus-plugin-content-docs/version-v2.7.0/faq/faq.md +++ b/i18n/zh/docusaurus-plugin-content-docs/version-v2.7.0/faq/faq.md @@ -5,15 +5,15 @@ title: 常见问题 ## 支持的设备厂商及具体型号 -| **GPU 厂商** | **GPU 型号** | **粒度** | **多 GPU 支持** | -| --- | --- | --- | --- | -| NVIDIA | 几乎所有主流消费级和数据中心 GPU | 核心 1%，显存 1M | 支持。多 GPU 仍可通过虚拟化进行拆分和共享。 | +| **GPU 厂商** | **GPU 型号** | **粒度** | **多 GPU 支持** | +| --- |-----------------------| --- | --- | +| NVIDIA | 几乎所有主流消费级和数据中心 GPU | 核心 1%，显存 1M | 支持。多 GPU 仍可通过虚拟化进行拆分和共享。 | | 昇腾 | 910A、910B2、910B3、310P | 最小粒度取决于卡类型模板。参考[官方模板](https://www.hiascend.com/document/detail/zh/mindx-dl/50rc1/AVI/cpaug/cpaug_0005.html)。 | 支持，但当 `npu > 1` 时不支持拆分，整卡独占。 | -| 海光 | Z100、Z100L、K100-AI | 核心 1%，显存 1M | 支持，但当 `dcu > 1` 时不支持拆分，整卡独占。 | -| 寒武纪 | 370、590 | 核心 1%，显存 256M | 支持，但当 `mlu > 1` 时不支持拆分，整卡独占。 | -| 天数智芯 | 全部 | 核心 1%，显存 256M | 支持，但当 `gpu > 1` 时不支持拆分，整卡独占。 | -| 摩尔线程 | MTT S4000 | 核心为 1 个核心组，显存 512M | 支持，但当 `gpu > 1` 时不支持拆分，整卡独占。 | -| 魅特思 | MXC500 | 不支持拆分，只能整卡分配。 | 支持，但所有分配均为整卡。 | +| 海光 | 全部 | 核心 1%，显存 1M | 支持，但当 `dcu > 1` 时不支持拆分，整卡独占。 | +| 寒武纪 | 370、590 | 核心 1%，显存 256M | 支持，但当 `mlu > 1` 时不支持拆分，整卡独占。 | +| 天数智芯 | 全部 | 核心 1%，显存 256M | 支持，但当 `gpu > 1` 时不支持拆分，整卡独占。 | +| 摩尔线程 | MTT S4000 | 核心为 1 个核心组，显存 512M | 支持，但当 `gpu > 1` 时不支持拆分，整卡独占。 | +| 魅特思 | MXC500 | 不支持拆分，只能整卡分配。 | 支持，但所有分配均为整卡。 | ## 什么是 vGPU？为什么看到 10 个 vGPU 却无法在同一张卡上分配两个 vGPU？ diff --git a/i18n/zh/docusaurus-plugin-content-docs/version-v2.7.0/userguide/device-supported.md b/i18n/zh/docusaurus-plugin-content-docs/version-v2.7.0/userguide/device-supported.md index 4460dae30..6a505f069 100644 --- a/i18n/zh/docusaurus-plugin-content-docs/version-v2.7.0/userguide/device-supported.md +++ b/i18n/zh/docusaurus-plugin-content-docs/version-v2.7.0/userguide/device-supported.md @@ -9,7 +9,7 @@ HAMi支持的设备视图如下表所示： |-------------|------------|-------------|-----------|---------------|-------------------| | GPU | NVIDIA | 全部 | Yes | Yes | Yes | | MLU | Cambricon | 370, 590 | Yes | Yes | No | -| DCU | Hygon | Z100, Z100L | Yes | Yes | No | +| DCU | Hygon | 全部 | Yes | Yes | No | | Huawei Ascend | Huawei | 910B, 910B3, 310P | Yes | Yes | No | | GPU | iluvatar | 全部 | Yes | Yes | No | | GPU | Mthreads | MTT S4000 | Yes | Yes | No | diff --git a/i18n/zh/docusaurus-plugin-content-docs/version-v2.8.0/faq/faq.md b/i18n/zh/docusaurus-plugin-content-docs/version-v2.8.0/faq/faq.md index 0f61d4092..d955be8ff 100644 --- a/i18n/zh/docusaurus-plugin-content-docs/version-v2.8.0/faq/faq.md +++ b/i18n/zh/docusaurus-plugin-content-docs/version-v2.8.0/faq/faq.md @@ -5,15 +5,15 @@ title: 常见问题 ## 支持的设备厂商及具体型号 -| **GPU 厂商** | **GPU 型号** | **粒度** | **多 GPU 支持** | -| --- | --- | --- | --- | -| NVIDIA | 几乎所有主流消费级和数据中心 GPU | 核心 1%，显存 1M | 支持。多 GPU 仍可通过虚拟化进行拆分和共享。 | +| **GPU 厂商** | **GPU 型号** | **粒度** | **多 GPU 支持** | +| --- |-----------------------| --- | --- | +| NVIDIA | 几乎所有主流消费级和数据中心 GPU | 核心 1%，显存 1M | 支持。多 GPU 仍可通过虚拟化进行拆分和共享。 | | 昇腾 | 910A、910B2、910B3、310P | 最小粒度取决于卡类型模板。参考[官方模板](https://www.hiascend.com/document/detail/zh/mindx-dl/50rc1/AVI/cpaug/cpaug_0005.html)。 | 支持，但当 `npu > 1` 时不支持拆分，整卡独占。 | -| 海光 | Z100、Z100L、K100-AI | 核心 1%，显存 1M | 支持，但当 `dcu > 1` 时不支持拆分，整卡独占。 | -| 寒武纪 | 370、590 | 核心 1%，显存 256M | 支持，但当 `mlu > 1` 时不支持拆分，整卡独占。 | -| 天数智芯 | 全部 | 核心 1%，显存 256M | 支持，但当 `gpu > 1` 时不支持拆分，整卡独占。 | -| 摩尔线程 | MTT S4000 | 核心为 1 个核心组，显存 512M | 支持，但当 `gpu > 1` 时不支持拆分，整卡独占。 | -| 魅特思 | MXC500 | 不支持拆分，只能整卡分配。 | 支持，但所有分配均为整卡。 | +| 海光 | 全部 | 核心 1%，显存 1M | 支持，但当 `dcu > 1` 时不支持拆分，整卡独占。 | +| 寒武纪 | 370、590 | 核心 1%，显存 256M | 支持，但当 `mlu > 1` 时不支持拆分，整卡独占。 | +| 天数智芯 | 全部 | 核心 1%，显存 256M | 支持，但当 `gpu > 1` 时不支持拆分，整卡独占。 | +| 摩尔线程 | MTT S4000 | 核心为 1 个核心组，显存 512M | 支持，但当 `gpu > 1` 时不支持拆分，整卡独占。 | +| 魅特思 | MXC500 | 不支持拆分，只能整卡分配。 | 支持，但所有分配均为整卡。 | ## 什么是 vGPU？为什么看到 10 个 vGPU 却无法在同一张卡上分配两个 vGPU？ diff --git a/i18n/zh/docusaurus-plugin-content-docs/version-v2.8.0/userguide/device-supported.md b/i18n/zh/docusaurus-plugin-content-docs/version-v2.8.0/userguide/device-supported.md index 1bf7e3ace..9b9bef474 100644 --- a/i18n/zh/docusaurus-plugin-content-docs/version-v2.8.0/userguide/device-supported.md +++ b/i18n/zh/docusaurus-plugin-content-docs/version-v2.8.0/userguide/device-supported.md @@ -9,7 +9,7 @@ HAMi支持的设备视图如下表所示： |-------------|------------|-------------|-----------|---------------|-------------------| | GPU | NVIDIA | 全部 | Yes | Yes | Yes | | MLU | Cambricon | 370, 590 | Yes | Yes | No | -| DCU | Hygon | Z100, Z100L | Yes | Yes | No | +| DCU | Hygon | 全部 | Yes | Yes | No | | Huawei Ascend | Huawei | 910B, 910B3, 310P | Yes | Yes | No | | GPU | iluvatar | 全部 | Yes | Yes | No | | GPU | Mthreads | MTT S4000 | Yes | Yes | No | diff --git a/i18n/zh/docusaurus-plugin-content-docs/version-v2.9.0/contributor/roadmap.md b/i18n/zh/docusaurus-plugin-content-docs/version-v2.9.0/contributor/roadmap.md index 1f9908b9e..486200c31 100644 --- a/i18n/zh/docusaurus-plugin-content-docs/version-v2.9.0/contributor/roadmap.md +++ b/i18n/zh/docusaurus-plugin-content-docs/version-v2.9.0/contributor/roadmap.md @@ -12,7 +12,7 @@ sidebar_label: 路线图 | GPU | NVIDIA | 全系列 | 是 | 是 | 是 | | MLU | Cambricon | 370、590 | 是 | 是 | 否 | | GCU | Enflame | S60 | 是 | 是 | 否 | -| DCU | Hygon | Z100、Z100L | 是 | 是 | 否 | +| DCU | Hygon | 全系列 | 是 | 是 | 否 | | NPU | Huawei Ascend | 310P、910B、910B3 | 是 | 是 | 否 | | GPU | Iluvatar | 全系列 | 是 | 是 | 否 | | DPU | Teco | 检查中 | 进行中 | 进行中 | 否 | diff --git a/i18n/zh/docusaurus-plugin-content-docs/version-v2.9.0/faq/faq.md b/i18n/zh/docusaurus-plugin-content-docs/version-v2.9.0/faq/faq.md index 584e3334f..2c11f2dc6 100644 --- a/i18n/zh/docusaurus-plugin-content-docs/version-v2.9.0/faq/faq.md +++ b/i18n/zh/docusaurus-plugin-content-docs/version-v2.9.0/faq/faq.md @@ -8,7 +8,7 @@ title: 常见问题 | --- | --- | --- | --- | | NVIDIA | 几乎所有主流消费级和数据中心 GPU | 核心 1%，显存 1M | 支持。多 GPU 仍可通过虚拟化进行拆分和共享。 | | 昇腾 | 910A、910B2、910B3、310P | 最小粒度取决于卡类型模板。参考[官方模板](https://www.hiascend.com/document/detail/zh/mindx-dl/50rc1/AVI/cpaug/cpaug_0005.html)。 | 支持，但当 `npu > 1` 时不支持拆分，整卡独占。 | -| 海光 | Z100、Z100L、K100-AI | 核心 1%，显存 1M | 支持，但当 `dcu > 1` 时不支持拆分，整卡独占。 | +| 海光 | 全部 | 核心 1%，显存 1M | 支持，但当 `dcu > 1` 时不支持拆分，整卡独占。 | | 寒武纪 | 370、590 | 核心 1%，显存 256M | 支持，但当 `mlu > 1` 时不支持拆分，整卡独占。 | | 天数智芯 | 全部 | 核心 1%，显存 256M | 支持，但当 `gpu > 1` 时不支持拆分，整卡独占。 | | 摩尔线程 | MTT S4000 | 核心为 1 个核心组，显存 512M | 支持，但当 `gpu > 1` 时不支持拆分，整卡独占。 | diff --git a/i18n/zh/docusaurus-plugin-content-docs/version-v2.9.0/userguide/device-supported.md b/i18n/zh/docusaurus-plugin-content-docs/version-v2.9.0/userguide/device-supported.md index b9c7f48df..416c09c04 100644 --- a/i18n/zh/docusaurus-plugin-content-docs/version-v2.9.0/userguide/device-supported.md +++ b/i18n/zh/docusaurus-plugin-content-docs/version-v2.9.0/userguide/device-supported.md @@ -9,7 +9,7 @@ HAMi 支持的设备如下表所示： | -------- | ------------------------- | ----------------- | -------- | -------- | -------- | | GPU | 英伟达（NVIDIA） | 全系列 | 是 | 是 | 是 | | MLU | 寒武纪（Cambricon） | 370、590 | 是 | 是 | 否 | -| DCU | 海光（Hygon） | Z100、Z100L | 是 | 是 | 否 | +| DCU | 海光（Hygon） | 全系列 | 是 | 是 | 否 | | NPU | 华为昇腾（Huawei Ascend） | 910B、910B3、910C、310P | 是 | 是 | 否 | | GPU | 天数智芯（Iluvatar） | 全部 | 是 | 是 | 否 | | GPU | 摩尔线程（Mthreads） | MTT S4000 | 是 | 是 | 否 | diff --git a/versioned_docs/version-v1.3.0/userguide/device-supported.md b/versioned_docs/version-v1.3.0/userguide/device-supported.md index 6e82e0d68..1f0a8d8ac 100644 --- a/versioned_docs/version-v1.3.0/userguide/device-supported.md +++ b/versioned_docs/version-v1.3.0/userguide/device-supported.md @@ -8,7 +8,7 @@ The view of device supported by HAMi is shown in this table below: |-------------|------------|-------------|-----------|---------------|-------------------| | GPU | NVIDIA | All | Yes | Yes | Yes | | MLU | Cambricon | 370, 590 | Yes | Yes | No | -| DCU | Hygon | Z100, Z100L | Yes | Yes | No | +| DCU | Hygon | All | Yes | Yes | No | | Ascend | Huawei | 910B, 910B3, 310P | Yes | Yes | No | | GPU | iluvatar | All | Yes | Yes | No | | GPU | Mthreads | MTT S4000 | Yes | Yes | No | diff --git a/versioned_docs/version-v2.4.1/userguide/device-supported.md b/versioned_docs/version-v2.4.1/userguide/device-supported.md index 6e82e0d68..1f0a8d8ac 100644 --- a/versioned_docs/version-v2.4.1/userguide/device-supported.md +++ b/versioned_docs/version-v2.4.1/userguide/device-supported.md @@ -8,7 +8,7 @@ The view of device supported by HAMi is shown in this table below: |-------------|------------|-------------|-----------|---------------|-------------------| | GPU | NVIDIA | All | Yes | Yes | Yes | | MLU | Cambricon | 370, 590 | Yes | Yes | No | -| DCU | Hygon | Z100, Z100L | Yes | Yes | No | +| DCU | Hygon | All | Yes | Yes | No | | Ascend | Huawei | 910B, 910B3, 310P | Yes | Yes | No | | GPU | iluvatar | All | Yes | Yes | No | | GPU | Mthreads | MTT S4000 | Yes | Yes | No | diff --git a/versioned_docs/version-v2.5.0/userguide/device-supported.md b/versioned_docs/version-v2.5.0/userguide/device-supported.md index 748847f17..943829b06 100644 --- a/versioned_docs/version-v2.5.0/userguide/device-supported.md +++ b/versioned_docs/version-v2.5.0/userguide/device-supported.md @@ -8,7 +8,7 @@ The view of device supported by HAMi is shown in this table below: |-------------|------------|-------------|-----------|---------------|-------------------| | GPU | NVIDIA | All | Yes | Yes | Yes | | MLU | Cambricon | 370, 590 | Yes | Yes | No | -| DCU | Hygon | Z100, Z100L, K100 | Yes | Yes | No | +| DCU | Hygon | All | Yes | Yes | No | | Ascend | Huawei | 910B, 910B2, 910B3, 910B4, 310P | Yes | Yes | No | | GPU | iluvatar | All | Yes | Yes | No | | GPU | Mthreads | MTT S4000 | Yes | Yes | No | diff --git a/versioned_docs/version-v2.5.1/userguide/device-supported.md b/versioned_docs/version-v2.5.1/userguide/device-supported.md index 47b51a256..78b656857 100644 --- a/versioned_docs/version-v2.5.1/userguide/device-supported.md +++ b/versioned_docs/version-v2.5.1/userguide/device-supported.md @@ -8,7 +8,7 @@ The table below lists the devices supported by HAMi: |------|------------|------|-----------------|---------------|-------------------| | GPU | NVIDIA | All | Yes | Yes | Yes | | MLU | Cambricon | 370, 590 | Yes | Yes | No | -| DCU | Hygon | Z100, Z100L | Yes | Yes | No | +| DCU | Hygon | All | Yes | Yes | No | | NPU | Huawei Ascend | 910B, 910B3, 310P | Yes | Yes | No | | GPU | Iluvatar | All | Yes | Yes | No | | GPU | Mthreads | MTT S4000 | Yes | Yes | No | diff --git a/versioned_docs/version-v2.6.0/faq/faq.md b/versioned_docs/version-v2.6.0/faq/faq.md index ac1cde84d..ebab05f62 100644 --- a/versioned_docs/version-v2.6.0/faq/faq.md +++ b/versioned_docs/version-v2.6.0/faq/faq.md @@ -5,11 +5,11 @@ title: FAQ ## Supported Device Vendors and Specific Models -| **GPU Vendor** | **GPU Model** | **Granularity** | **Multi-GPU Support** | -| --- | --- | --- | --- | +| **GPU Vendor** | **GPU Model** | **Granularity** | **Multi-GPU Support** | +| --- |-----------------------------------------------------| --- | --- | | NVIDIA | Almost all mainstream consumer and data center GPUs | Core 1%, Memory 1M | Supported. Multi-GPU can still be split and shared using virtualization. | | Ascend | 910A, 910B2, 910B3, 310P | Minimum granularity depends on the card type template. Refer to the [official templates](https://www.hiascend.com/document/detail/zh/mindx-dl/50rc1/AVI/cpaug/cpaug_0005.html). | Supported, but splitting is not supported when `npu > 1`. The entire card is exclusively allocated. | -| Hygon | Z100, Z100L, K100-AI | Core 1%, Memory 1M | Supported, but splitting is not supported when `dcu > 1`. The entire card is exclusively allocated. | +| Hygon | All | Core 1%, Memory 1M | Supported, but splitting is not supported when `dcu > 1`. The entire card is exclusively allocated. | | Cambricon | 370, 590 | Core 1%, Memory 256M | Supported, but splitting is not supported when `mlu > 1`. The entire card is exclusively allocated. | | Iluvatar | All | Core 1%, Memory 256M | Supported, but splitting is not supported when `gpu > 1`. The entire card is exclusively allocated. | | Mthreads | MTT S4000 | Core 1 core group, Memory 512M | Supported, but splitting is not supported when `gpu > 1`. The entire card is exclusively allocated. | diff --git a/versioned_docs/version-v2.6.0/userguide/device-supported.md b/versioned_docs/version-v2.6.0/userguide/device-supported.md index 47b51a256..78b656857 100644 --- a/versioned_docs/version-v2.6.0/userguide/device-supported.md +++ b/versioned_docs/version-v2.6.0/userguide/device-supported.md @@ -8,7 +8,7 @@ The table below lists the devices supported by HAMi: |------|------------|------|-----------------|---------------|-------------------| | GPU | NVIDIA | All | Yes | Yes | Yes | | MLU | Cambricon | 370, 590 | Yes | Yes | No | -| DCU | Hygon | Z100, Z100L | Yes | Yes | No | +| DCU | Hygon | All | Yes | Yes | No | | NPU | Huawei Ascend | 910B, 910B3, 310P | Yes | Yes | No | | GPU | Iluvatar | All | Yes | Yes | No | | GPU | Mthreads | MTT S4000 | Yes | Yes | No | diff --git a/versioned_docs/version-v2.7.0/faq/faq.md b/versioned_docs/version-v2.7.0/faq/faq.md index 9fdb9e276..e79de4a21 100644 --- a/versioned_docs/version-v2.7.0/faq/faq.md +++ b/versioned_docs/version-v2.7.0/faq/faq.md @@ -5,11 +5,11 @@ title: FAQ ## Supported Device Vendors and Specific Models -| **GPU Vendor** | **GPU Model** | **Granularity** | **Multi-GPU Support** | -| --- | --- | --- | --- | +| **GPU Vendor** | **GPU Model** | **Granularity** | **Multi-GPU Support** | +| --- |-----------------------------------------------------| --- | --- | | NVIDIA | Almost all mainstream consumer and data center GPUs | Core 1%, Memory 1M | Supported. Multi-GPU can still be split and shared using virtualization. | | Ascend | 910A, 910B2, 910B3, 310P | Minimum granularity depends on the card type template. Refer to the [official templates](https://www.hiascend.com/document/detail/zh/mindx-dl/50rc1/AVI/cpaug/cpaug_0005.html). | Supported, but splitting is not supported when `npu > 1`. The entire card is exclusively allocated. | -| Hygon | Z100, Z100L, K100-AI | Core 1%, Memory 1M | Supported, but splitting is not supported when `dcu > 1`. The entire card is exclusively allocated. | +| Hygon | All | Core 1%, Memory 1M | Supported, but splitting is not supported when `dcu > 1`. The entire card is exclusively allocated. | | Cambricon | 370, 590 | Core 1%, Memory 256M | Supported, but splitting is not supported when `mlu > 1`. The entire card is exclusively allocated. | | Iluvatar | All | Core 1%, Memory 256M | Supported, but splitting is not supported when `gpu > 1`. The entire card is exclusively allocated. | | Mthreads | MTT S4000 | Core 1 core group, Memory 512M | Supported, but splitting is not supported when `gpu > 1`. The entire card is exclusively allocated. | diff --git a/versioned_docs/version-v2.7.0/userguide/device-supported.md b/versioned_docs/version-v2.7.0/userguide/device-supported.md index d85bdec17..95bda1b75 100644 --- a/versioned_docs/version-v2.7.0/userguide/device-supported.md +++ b/versioned_docs/version-v2.7.0/userguide/device-supported.md @@ -8,7 +8,7 @@ The table below lists the devices supported by HAMi: |------|------------|------|-----------------|---------------|-------------------| | GPU | NVIDIA | All | Yes | Yes | Yes | | MLU | Cambricon | 370, 590 | Yes | Yes | No | -| DCU | Hygon | Z100, Z100L | Yes | Yes | No | +| DCU | Hygon | All | Yes | Yes | No | | NPU | Huawei Ascend | 910B, 910B3, 310P | Yes | Yes | No | | GPU | Iluvatar | All | Yes | Yes | No | | GPU | Mthreads | MTT S4000 | Yes | Yes | No | diff --git a/versioned_docs/version-v2.8.0/faq/faq.md b/versioned_docs/version-v2.8.0/faq/faq.md index 5c4b1eb03..345e3c8b4 100644 --- a/versioned_docs/version-v2.8.0/faq/faq.md +++ b/versioned_docs/version-v2.8.0/faq/faq.md @@ -5,11 +5,11 @@ title: FAQ ## Supported Device Vendors and Specific Models -| **GPU Vendor** | **GPU Model** | **Granularity** | **Multi-GPU Support** | -| --- | --- | --- | --- | +| **GPU Vendor** | **GPU Model** | **Granularity** | **Multi-GPU Support** | +| --- |-----------------------------------------------------| --- | --- | | NVIDIA | Almost all mainstream consumer and data center GPUs | Core 1%, Memory 1M | Supported. Multi-GPU can still be split and shared using virtualization. | | Ascend | 910A, 910B2, 910B3, 310P | Minimum granularity depends on the card type template. Refer to the [official templates](https://www.hiascend.com/document/detail/zh/mindx-dl/50rc1/AVI/cpaug/cpaug_0005.html). | Supported, but splitting is not supported when `npu > 1`. The entire card is exclusively allocated. | -| Hygon | Z100, Z100L, K100-AI | Core 1%, Memory 1M | Supported, but splitting is not supported when `dcu > 1`. The entire card is exclusively allocated. | +| Hygon | All | Core 1%, Memory 1M | Supported, but splitting is not supported when `dcu > 1`. The entire card is exclusively allocated. | | Cambricon | 370, 590 | Core 1%, Memory 256M | Supported, but splitting is not supported when `mlu > 1`. The entire card is exclusively allocated. | | Iluvatar | All | Core 1%, Memory 256M | Supported, but splitting is not supported when `gpu > 1`. The entire card is exclusively allocated. | | Mthreads | MTT S4000 | Core 1 core group, Memory 512M | Supported, but splitting is not supported when `gpu > 1`. The entire card is exclusively allocated. | diff --git a/versioned_docs/version-v2.8.0/userguide/device-supported.md b/versioned_docs/version-v2.8.0/userguide/device-supported.md index a27281095..0c7588320 100644 --- a/versioned_docs/version-v2.8.0/userguide/device-supported.md +++ b/versioned_docs/version-v2.8.0/userguide/device-supported.md @@ -4,11 +4,11 @@ title: Device supported by HAMi The table below lists the devices supported by HAMi: -| Type | Manufacturer | Models | MemoryIsolation | CoreIsolation | MultiCard Support | -| ---- | ---------- | ------ | --------------- | ------------- | ----------------- | -| GPU | NVIDIA | All | Yes | Yes | Yes | -| MLU | Cambricon | 370, 590 | Yes | Yes | No | -| DCU | Hygon | Z100, Z100L | Yes | Yes | No | +| Type | Manufacturer | Models | MemoryIsolation | CoreIsolation | MultiCard Support | +| ---- | ---------- |-------------------| --------------- | ------------- | ----------------- | +| GPU | NVIDIA | All | Yes | Yes | Yes | +| MLU | Cambricon | 370, 590 | Yes | Yes | No | +| DCU | Hygon | All | Yes | Yes | No | | NPU | Huawei Ascend | 910B, 910B3, 310P | Yes | Yes | No | | GPU | Iluvatar | All | Yes | Yes | No | | GPU | Mthreads | MTT S4000 | Yes | Yes | No | diff --git a/versioned_docs/version-v2.9.0/contributor/roadmap.md b/versioned_docs/version-v2.9.0/contributor/roadmap.md index 001df7de3..474d12397 100644 --- a/versioned_docs/version-v2.9.0/contributor/roadmap.md +++ b/versioned_docs/version-v2.9.0/contributor/roadmap.md @@ -11,7 +11,7 @@ sidebar_label: Roadmap | GPU | NVIDIA | All | Yes | Yes | Yes | | MLU | Cambricon | 370, 590 | Yes | Yes | No | | GCU | Enflame | S60 | Yes | Yes | No | -| DCU | Hygon | Z100, Z100L | Yes | Yes | No | +| DCU | Hygon | All | Yes | Yes | No | | NPU | Ascend | 310P, 910B, 910B3 | Yes | Yes | No | | GPU | Iluvatar | All | Yes | Yes | No | | DPU | Teco | Checking | In progress | In progress | No | diff --git a/versioned_docs/version-v2.9.0/faq/faq.md b/versioned_docs/version-v2.9.0/faq/faq.md index 6c7b814a5..01f859efe 100644 --- a/versioned_docs/version-v2.9.0/faq/faq.md +++ b/versioned_docs/version-v2.9.0/faq/faq.md @@ -8,7 +8,7 @@ title: FAQ | --- | --- | --- | --- | | NVIDIA | Almost all mainstream consumer and data center GPUs | Core 1%, Memory 1M | Supported. Multi-GPU can still be split and shared using virtualization. | | Ascend | 910A, 910B2, 910B3, 310P | Minimum granularity depends on the card type template. Refer to the [official templates](https://www.hiascend.com/document/detail/zh/mindx-dl/50rc1/AVI/cpaug/cpaug_0005.html). | Supported, but splitting is not supported when `npu > 1`. The entire card is exclusively allocated. | -| Hygon | Z100, Z100L, K100-AI | Core 1%, Memory 1M | Supported, but splitting is not supported when `dcu > 1`. The entire card is exclusively allocated. | +| Hygon | All | Core 1%, Memory 1M | Supported, but splitting is not supported when `dcu > 1`. The entire card is exclusively allocated. | | Cambricon | 370, 590 | Core 1%, Memory 256M | Supported, but splitting is not supported when `mlu > 1`. The entire card is exclusively allocated. | | Iluvatar | All | Core 1%, Memory 256M | Supported, but splitting is not supported when `gpu > 1`. The entire card is exclusively allocated. | | Mthreads | MTT S4000 | Core 1 core group, Memory 512M | Supported, but splitting is not supported when `gpu > 1`. The entire card is exclusively allocated. | diff --git a/versioned_docs/version-v2.9.0/userguide/device-supported.md b/versioned_docs/version-v2.9.0/userguide/device-supported.md index 730956c11..2782a04e3 100644 --- a/versioned_docs/version-v2.9.0/userguide/device-supported.md +++ b/versioned_docs/version-v2.9.0/userguide/device-supported.md @@ -8,7 +8,7 @@ The table below lists the devices supported by HAMi: | ---- | ------------- | ----------------- | --------------- | ------------- | ----------------- | | GPU | NVIDIA | All | Yes | Yes | Yes | | MLU | Cambricon | 370, 590 | Yes | Yes | No | -| DCU | Hygon | Z100, Z100L | Yes | Yes | No | +| DCU | Hygon | All | Yes | Yes | No | | NPU | Huawei Ascend | 910B, 910B3, 910C, 310P | Yes | Yes | No | | GPU | Iluvatar | All | Yes | Yes | No | | GPU | Mthreads | MTT S4000 | Yes | Yes | No |