NVIDIA RTX 虚拟工作站云 v10
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快速入门指南

NVIDIA RTX 虚拟工作站 (在 Amazon Web Services 弹性计算云上) 快速入门指南

适用于所有 NVIDIA RTX 虚拟工作站 AWS EC2 用户的入门信息。

1. 从 Amazon Web Services 弹性计算云 Marketplace 创建和使用 NVIDIA RTX 虚拟工作站实例

云中的 NVIDIA® RTX™ 虚拟工作站是一个 NVIDIA 虚拟机镜像 (VMI)，预配置了 NVIDIA RTX 虚拟工作站软件和 NVIDIA GPU 硬件。NVIDIA RTX 企业驱动程序已预装在 VMI 上，NVIDIA 确保镜像始终与最新的 NVIDIA RTX ISV 认证、补丁和升级保持同步。入门帮助和技术信息可在 NVIDIA RTX 虚拟工作站 (vWS) on CSP Marketplace 社区论坛和更多资源中找到。

1.1. 创建 GPU 加速的虚拟工作站

准备从 Amazon Web Services 弹性计算云 Marketplace 创建 GPU 加速的虚拟工作站，步骤如下

  1. 在 Web 浏览器中，登录 Amazon EC2 控制台 (https://console.aws.amazon.com/ec2/)。
  2. 转到您要使用的访客操作系统的 NVIDIA RTX 虚拟工作站列表
  3. 点击查看详情链接，查看 NVIDIA RTX 虚拟工作站的每小时定价。此外，还有 Amazon Web Services 弹性计算云基础设施成本，用于 GPU、内存和存储。
  4. 选择最具成本效益的区域和您要在其上部署 GPU 加速的虚拟工作站的 EC2 实例类型。NVIDIA RTX 虚拟工作站在 Amazon Web Services 弹性计算云上唯一可用的交付选项是 64 位 (x86) Amazon Machine Image (AMI)。
  5. 点击继续订阅。
  6. 在打开的“订阅此软件”页面中，点击接受条款。
  7. 订阅完成后，点击继续配置。
  8. 在打开的“配置此软件”页面中，选择以下选项
    • 您要在实例中运行的 NVIDIA vGPU 软件图形驱动程序的软件版本
    • 您希望部署实例的区域

    NVIDIA RTX 虚拟工作站在 Amazon Web Services 弹性计算云上唯一可用的交付选项是 64 位 (x86) Amazon Machine Image (AMI)

  9. 点击继续启动。
  10. 在打开的“启动此软件”页面上，从选择操作下拉列表中，选择用于启动实例的操作。
    • 要从“启动此软件”页面启动实例，请选择从网站启动。

      如果您选择此选项，则其他选项将保留在此页面上，以便您从此页面配置实例。

    • 要从 Amazon EC2 控制台页面启动实例，请选择通过 EC2 启动。

      如果您选择此选项，则其他选项将从此页面中删除，以便您使用启动实例向导配置实例。

  11. 配置并启动实例。

    出现提示时，请确保您创建或添加密钥对到为此实例授权的密钥集中。如果您在没有密钥对的情况下继续，您将无法登录到实例。

    实例启动后，将显示一个确认页面，其中包含指向 EC2 控制台上实例的链接。

  12. 在启动确认页面中，点击指向 EC2 控制台上实例的链接，以确认实例正在运行且所有状态检查均已完成。
  13. 如果您正在创建 Windows 实例并希望通过 RDP 连接到实例，请编辑实例的安全组以添加 RDP 安全规则，从而为 TCP 连接打开端口 3389。

按照您选择的操作系统的说明连接到实例

连接到实例后，按照 验证 GPU 加速的虚拟工作站的创建 中的说明验证其是否已正确创建

1.2. 连接到 Windows VM 实例上的 GPU 加速的虚拟工作站

注意

有关 Linux VM 的说明，请参阅 连接到您的 Linux 实例，出自 Amazon EC2 Linux 实例用户指南。


  1. 在 EC2 控制面板上的实例列表中，选择实例并点击连接。
  2. 在打开的连接到您的实例窗口中，下载 RDP 文件并获取用于连接到您的实例的密码。
    1. 点击下载远程桌面文件。
    2. 点击获取密码。
    3. 出现提示时，指定与此实例关联的密钥对文件的路径，然后点击解密密码。

    qvws-amazon-web-services-ec2-connect-windows.png

  3. 远程桌面文件下载完成后，双击该文件以在 VM 上启动远程桌面连接会话。
  4. 如果您收到警告，指出无法识别远程连接的发布者，并询问是否仍要连接，请点击连接。
  5. 出现提示时，使用用户名 Administrator 和您之前获得的密码登录到 VM。
  6. 如果您收到警告，指出无法识别远程连接的发布者，并询问是否仍要连接，请点击是。
  7. 关闭连接到您的实例窗口。

连接到 GPU 加速的虚拟工作站后，按照 验证 GPU 加速的虚拟工作站的创建 中的说明验证其是否已正确创建。

1.3. 验证 GPU 加速的虚拟工作站的创建

连接到 GPU 加速的虚拟工作站后，通过列出其 GPU 来验证其是否已正确创建。在 Windows VM 实例上，您还可以使用 NVIDIA 控制面板来验证 NVIDIA 驱动程序是否正在运行。

详情请参阅

验证 GPU 加速的虚拟工作站的创建后，您现在可以运行您的设计和工程软件了。

1.3.1. 验证 Windows VM 实例上的 GPU 加速的虚拟工作站的创建

  1. 打开命令提示符窗口，并更改到包含 nvidia-smi 命令的文件夹。
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    C:\Users\Administrator>cd C:\Program Files\NVIDIA Corporation\NVSMI
  2. 通过运行不带任何选项的 nvidia-smi 命令，列出 GPU 加速的虚拟工作站中的 GPU。以下示例显示了为配置了四个 NVIDIA V100 GPU 的 Windows VM 实例运行 nvidia-smi 的输出。
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    C:\Program Files\NVIDIA Corporation\NVSMI>nvidia-smi
Fri Jul 12 01:33:40 2019
+-----------------------------------------------------------------------------+
| NVIDIA-SMI 425.31       Driver Version: 425.31       CUDA Version: 10.1     |
|-------------------------------+----------------------+----------------------+
| GPU  Name            TCC/WDDM | Bus-Id        Disp.A | Volatile Uncorr. ECC |
| Fan  Temp  Perf  Pwr:Usage/Cap|         Memory-Usage | GPU-Util  Compute M. |
|===============================+======================+======================|
|   0  Tesla V100-SXM2... WDDM  | 00000000:00:1B.0 Off |                    0 |
| N/A   42C    P0    37W / 300W |    343MiB / 16384MiB |      1%      Default |
+-------------------------------+----------------------+----------------------+
|   1  Tesla V100-SXM2... WDDM  | 00000000:00:1C.0 Off |                    0 |
| N/A   41C    P0    38W / 300W |    239MiB / 16384MiB |      0%      Default |
+-------------------------------+----------------------+----------------------+
|   2  Tesla V100-SXM2... WDDM  | 00000000:00:1D.0 Off |                    0 |
| N/A   43C    P0    40W / 300W |    239MiB / 16384MiB |      0%      Default |
+-------------------------------+----------------------+----------------------+
|   3  Tesla V100-SXM2... WDDM  | 00000000:00:1E.0 Off |                    0 |
| N/A   42C    P0    38W / 300W |    239MiB / 16384MiB |      0%      Default |
+-------------------------------+----------------------+----------------------+

+-----------------------------------------------------------------------------+
| Processes:                                                       GPU Memory |
|  GPU       PID   Type   Process name                             Usage      |
|=============================================================================|
|    0      1256    C+G   Insufficient Permissions                   N/A      |
|    0      1536    C+G   ...t_cw5n1h2txyewy\ShellExperienceHost.exe N/A      |
|    0      4244    C+G   C:\Windows\explorer.exe                    N/A      |
|    0      4340    C+G   Insufficient Permissions                   N/A      |
|    0      5724    C+G   ...dows.Cortana_cw5n1h2txyewy\SearchUI.exe N/A      |
|    0      6044    C+G   Insufficient Permissions                   N/A      |
+-----------------------------------------------------------------------------+
  3. 启动 NVIDIA 控制面板以验证 NVIDIA 驱动程序是否正在运行。
    1. 右键点击桌面。
    2. 从打开的菜单中，选择 NVIDIA 控制面板。
  4. 在 NVIDIA 控制面板中，从帮助菜单中，选择系统信息以获取有关 GPU 的信息。

    NVIDIA 控制面板报告正在使用的 GPU、其功能以及已加载的 NVIDIA 驱动程序版本。

    qvws-amazon-web-services-ec2-nvcpl.png

1.3.2. 验证 Linux VM 实例上的 GPU 加速的虚拟工作站的创建

通过运行不带任何选项的 nvidia-smi 命令，列出 GPU 加速的虚拟工作站中的 GPU。

以下示例显示了为配置了四个 NVIDIA V100 GPU 的 Linux VM 实例运行 nvidia-smi 的输出。

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已复制！
            

            
ubuntu@ip-172-31-16-135:~$nvidia-smi
Fri Jul 12 01:47:40 2019
+-----------------------------------------------------------------------------+
| NVIDIA-SMI 425.31       Driver Version: 425.31       CUDA Version: 10.1     |
|-------------------------------+----------------------+----------------------+
| GPU  Name            TCC/WDDM | Bus-Id        Disp.A | Volatile Uncorr. ECC |
| Fan  Temp  Perf  Pwr:Usage/Cap|         Memory-Usage | GPU-Util  Compute M. |
|===============================+======================+======================|
|   0  Tesla V100-SXM2... WDDM  | 00000000:00:1B.0 Off |                    0 |
| N/A   42C    P0    37W / 300W |    343MiB / 16384MiB |      1%      Default |
+-------------------------------+----------------------+----------------------+
|   1  Tesla V100-SXM2... WDDM  | 00000000:00:1C.0 Off |                    0 |
| N/A   41C    P0    38W / 300W |    239MiB / 16384MiB |      0%      Default |
+-------------------------------+----------------------+----------------------+
|   2  Tesla V100-SXM2... WDDM  | 00000000:00:1D.0 Off |                    0 |
| N/A   43C    P0    40W / 300W |    239MiB / 16384MiB |      0%      Default |
+-------------------------------+----------------------+----------------------+
|   3  Tesla V100-SXM2... WDDM  | 00000000:00:1E.0 Off |                    0 |
| N/A   42C    P0    38W / 300W |    239MiB / 16384MiB |      0%      Default |
+-------------------------------+----------------------+----------------------+
                                                                               
+-----------------------------------------------------------------------------+
| Processes:                                                       GPU Memory |
|  GPU       PID   Type   Process name                             Usage      |
|=============================================================================|
|  No running processes found                                                 |
+-----------------------------------------------------------------------------+
ubuntu@ip-172-31-16-135:~$

A. NVIDIA RTX 虚拟工作站 (在 Amazon Web Services 弹性计算云上) 的资源

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