快速入门:设置适用于 Windows 的 Data Science Virtual MachineQuickstart: Set up the Data Science Virtual Machine for Windows

启动并运行 Windows Server 2019 Data Science Virtual Machine。Get up and running with a Windows Server 2019 Data Science Virtual Machine.

先决条件Prerequisite

若要创建 Windows Data Science Virtual Machine,必须具备 Azure 订阅。To create a Windows Data Science Virtual Machine, you must have an Azure subscription. 请注意,Azure 试用帐户不支持启用 GPU 的虚拟机 SKU。Please note Azure free accounts do not support GPU enabled virtual machine SKUs.

创建 DSVMCreate your DSVM

创建 DSVM 实例:To create a DSVM instance:

  1. 转到 Azure 门户 如果你尚未登录到 Azure 帐户,系统可能会提示你登录。Go to the Azure portal You might be prompted to sign in to your Azure account if you're not already signed in.

  2. 通过键入“data science virtual machine”并选择“Data Science Virtual Machine - Windows 2019”来查找虚拟机列表。Find the virtual machine listing by typing in "data science virtual machine" and selecting "Data Science Virtual Machine - Windows 2019."

  3. 选择底部的“创建”按钮。Select the Create button at the bottom.

  4. 你应该被重定向到“创建虚拟机”边栏选项卡。You should be redirected to the "Create a virtual machine" blade.

  5. 填写“基本信息”选项卡:Fill in the Basics tab:

    • 订阅:如果有多个订阅,请选择要在其上创建虚拟机并对其计费的订阅。Subscription: If you have more than one subscription, select the one on which the machine will be created and billed. 必须具有此订阅的资源创建权限。You must have resource creation privileges for this subscription.
    • 资源组:新建资源组,或使用现有资源组。Resource group: Create a new group or use an existing one.
    • 虚拟机名称:输入虚拟机的名称。Virtual machine name: Enter the name of the virtual machine. 这就是它在 Azure 门户中的显示方式。This is how it will appear in your Azure portal.
    • 位置:选择最合适的数据中心。Location: Select the datacenter that's most appropriate. 为获得最快的网络访问速度,请选择包含大部分数据,或者最接近实际位置的数据中心。For fastest network access, it's the datacenter that has most of your data or is closest to your physical location. 详细了解 Azure 区域Learn more about Azure Regions.
    • 映像:保留默认值。Image: Leave the default value.
    • 大小:它应自动填充为适合一般工作负荷的大小。Size: This should auto-populate with a size that is appropriate for general workloads. 详细了解 Azure 中的 Windows VM 大小Read more about Windows VM sizes in Azure.
    • 用户名:输入管理员用户名。Username: Enter the administrator username. 这是你将用于登录到虚拟机的用户名,无需与 Azure 用户名相同。This is the username you will use to log into your virtual machine, and need not be the same as your Azure username.
    • 密码:输入将用于登录到虚拟机的密码。Password: Enter the password you will use to log into your virtual machine.
  6. 选择“查看 + 创建”。Select Review + create.

  7. 查看 + 创建Review+create

    • 验证输入的所有信息是否正确。Verify that all the information you entered is correct.
    • 选择“创建” 。Select Create.

备注

  • 无需为虚拟机上预装的软件支付许可费用。You do not pay licensing fees for the software that comes pre-loaded on the virtual machine. 你需要为在大小步骤中选择的服务器大小支付计算成本。You do pay the compute cost for the server size that you chose in the Size step.
  • 预配过程将花费 10 到 20 分钟。Provisioning takes 10 to 20 minutes. 在 Azure 门户中可以查看 VM 的状态。You can view the status of your VM on the Azure portal.

访问 DSVMAccess the DSVM

创建并预配 VM 后,请按照列出的步骤连接到基于 Azure 的虚拟机。After the VM is created and provisioned, follow the steps listed to connect to your Azure-based virtual machine. 请使用创建虚拟机时在“基本信息”步骤中配置的管理员帐户凭据。 Use the admin account credentials that you configured in the Basics step of creating a virtual machine.

现在,可以开始使用 VM 上安装并配置的工具。You're ready to start using the tools that are installed and configured on the VM. 可以通过“开始”菜单磁贴和桌面图标访问许多工具。Many of the tools can be accessed through Start menu tiles and desktop icons.

还可以将 DSVM 附加到 Azure Notebooks,以在 VM 上运行 Jupyter Notebook,并绕过免费服务层的限制。You can also attach a DSVM to Azure Notebooks to run Jupyter notebooks on the VM and bypass the limitations of the free service tier.

后续步骤Next steps