开始使用NVIDIA GPU Cloud

NVIDIA GPU Cloud(NGC)管理着一个完全集成好且优化过的深度学习框架容器的目录。在NGC网站上注册一个账号,您就可以访问NGC容器注册中的这些容器,并在多个加速计算环境中运行它们。本文档中的说明将协助您你开始使用NGC。

注册NGC账号

  1. 在浏览器中,打开 https://ngc.nvidia.com.

  2. 先不要输入邮箱地址,点击注册按钮,开始注册流程。
  3. 填写NVIDIA GPU Cloud注册单上的所有信息,然后单击注册。

    您会收到一封欢迎电子邮件,其中包含了如何设置您账户的说明。

  4. 打开欢迎邮件里面的链接,在浏览器中打开最初的NGC创建密码页面。
  5. 按照说明创建您的密码。
  6. 登录您的账户:在通知您账户已被激活的欢迎界面里点击登录。

登录NGC网站

成功激活您的账号后,您将被带到NGC网站登录页面。您也可以随时通过 https://ngc.nvidia.com 打开登录页面。.

  1. 输入您的电子邮箱,单击下一步,然后在下一页输入您的密码,再单击下一步。
  2. 首次登录时,您必须同意NVIDIA GPU Cloud使用条款,才能进入该网站。

生成您的NGC API密钥

登录后,网站打开NGC容器注册页面。

  1. 单击获取API密钥,打开API密钥页面。

    API密钥是用于验证您访问NGC容器注册的机制。

  2. 单击生成API密钥生成您的API密钥。系统会显示一条警告信息,告诉您如果您创建新的API密钥,旧的密钥将会失效。
  3. 单击确认以生成密钥。

    您的API密钥会弹出。

    您只需要生成一次API密钥。NGC不保存您的密钥,所以请存放在安全的地方。(您可以通过单击API密钥右侧的复制图标将您的API密钥复制到剪贴板上。)

    如果您弄丢了您的API密钥,您可以从NGC网站生成一个新的。当您生成一个新的API密钥时,旧的密钥将会失效。

查看NGC容器注册中的存储库

查看NGC注册页面的存储库部分,以确定哪些Docker仓库和标签可供您使用。

点击其中一个存储库查看该容器镜像的信息以及运行容器时将使用的可用标签。

下面的图片显示了PyTorch存储库的信息,以及可用的标签。

  

使用最新的标签,您可以在加速计算环境的Docker命令中指定要运行的容器为pytorch:17.10.

下一步

现在您已经有了API密钥,您你可以开始使用NGC容器注册中的容器了。

请务必确定要准备运行NGC容器的ACE。有关设置ACE的说明以及最新可用的框架容器信息,请参阅以下文档:

Notices

Notice

THE INFORMATION IN THIS GUIDE AND ALL OTHER INFORMATION CONTAINED IN NVIDIA DOCUMENTATION REFERENCED IN THIS GUIDE IS PROVIDED “AS IS.” NVIDIA MAKES NO WARRANTIES, EXPRESSED, IMPLIED, STATUTORY, OR OTHERWISE WITH RESPECT TO THE INFORMATION FOR THE PRODUCT, AND EXPRESSLY DISCLAIMS ALL IMPLIED WARRANTIES OF NONINFRINGEMENT, MERCHANTABILITY, AND FITNESS FOR A PARTICULAR PURPOSE. Notwithstanding any damages that customer might incur for any reason whatsoever, NVIDIA’s aggregate and cumulative liability towards customer for the product described in this guide shall be limited in accordance with the NVIDIA terms and conditions of sale for the product.

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