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Copy file name to clipboardExpand all lines: articles/lab-services/classroom-labs/administrator-guide.md
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| Small| <ul><li>2 Cores</li><li>3.5 GB RAM</li> |[Standard_A2_v2](https://docs.microsoft.com/azure/virtual-machines/av2-series?toc=/azure/virtual-machines/linux/toc.json&bc=/azure/virtual-machines/linux/breadcrumb/toc.json)| This size is best suited for command line, opening web browser, low traffic web servers, small to medium databases. |
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| Medium | <ul><li>4 Cores</li><li>7 GB RAM</li> |[Standard_A4_v2](https://docs.microsoft.com/azure/virtual-machines/av2-series?toc=/azure/virtual-machines/linux/toc.json&bc=/azure/virtual-machines/linux/breadcrumb/toc.json)| This size is best suited for relational databases, in-memory caching, and analytics. |
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| Medium (Nested virtualization) | <ul><li>4 Cores</li><li>16 GB RAM</li></ul> |[Standard_D4s_v3](https://docs.microsoft.com/azure/virtual-machines/dv3-dsv3-series?toc=/azure/virtual-machines/linux/toc.json&bc=/azure/virtual-machines/linux/breadcrumb/toc.json#dsv3-series)| This size is best suited for relational databases, in-memory caching, and analytics. This size also supports nested virtualization. |
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| Large | <ul><li>8 Cores</li><li>32 GB RAM</li></ul> |[Standard_DC8_v2](https://docs.microsoft.com/azure/virtual-machines/dcv2-series?toc=/azure/virtual-machines/linux/toc.json&bc=/azure/virtual-machines/linux/breadcrumb/toc.json)| This size is best suited for applications that need faster CPUs, better local disk performance, large databases, large memory caches. This size also supports nested virtualization. |
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| Large | <ul><li>8 Cores</li><li>16 GB RAM</li></ul> |[Standard_A8_v2](https://docs.microsoft.com/azure/virtual-machines/av2-series)| This size is best suited for applications that need faster CPUs, better local disk performance, large databases, large memory caches. This size also supports nested virtualization. |
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| Small GPU (Visualization) | <ul><li>6 Cores</li><li>56 GB RAM</li> |[Standard_NV6](https://docs.microsoft.com/azure/virtual-machines/nv-series)| This size is best suited for remote visualization, streaming, gaming, encoding using frameworks such as OpenGL and DirectX. |
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| Small GPU (Compute) | <ul><li>6 Cores</li><li>56 GB RAM</li></ul> |[Standard_NC6](https://docs.microsoft.com/azure/virtual-machines/nc-series)|This size is best suited for computer-intensive applications like Artificial Intelligence and Deep Learning. |
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| Medium GPU (Visualization) | <ul><li>12 Cores</li><li>112 GB RAM</li></ul> |[Standard_NC12](https://docs.microsoft.com/azure/virtual-machines/nc-series)| This size is best suited for remote visualization, streaming, gaming, encoding using frameworks such as OpenGL and DirectX. |
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| Medium GPU (Visualization) | <ul><li>12 Cores</li><li>112 GB RAM</li></ul> |[Standard_NV12](https://docs.microsoft.com/azure/virtual-machines/nv-series?toc=/azure/virtual-machines/linux/toc.json&bc=/azure/virtual-machines/linux/breadcrumb/toc.json)| This size is best suited for remote visualization, streaming, gaming, encoding using frameworks such as OpenGL and DirectX. |
Copy file name to clipboardExpand all lines: articles/lab-services/classroom-labs/class-type-deep-learning-natural-language-processing.md
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| ------------ | ------------------ |
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| Virtual machine (VM) size | Small GPU (Compute). This size is best suited for compute-intensive and network-intensive applications like Artificial Intelligence and Deep Learning. |
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| VM image |[Data Science Virtual Machine for Linux (Ubuntu)](https://azuremarketplace.microsoft.com/marketplace/apps/microsoft-dsvm.ubuntu-1804). This image provides deep learning frameworks and tools for machine learning and data science. To view the full list of installed tools on this image, see the following article: [What’s included on the DSVM?](../../machine-learning/data-science-virtual-machine/overview.md#whats-included-on-the-dsvm). |
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| Enable remote desktop connection | <p>Enabling this setting will allow educators and students to connect to their Virtual Machines (VM) using Remote Desktop (RDP).</p><p>**Important**: Enabling this setting only opens the **RDP** port on Linux machines. If RDP is already installed and configured on the virtual machine image, you/students can connect to VMs via RDP without following any additional steps. <p>If the VM image doesn't have RDP installed and configured, you need to connect to the Linux machine using SSH for the first time, and install RDP and GUI packages so that you/students can connect to the Linux machine using RDP later. For more information, see [Install and configure Remote Desktop to connect to a Linux VM in Azure](../../virtual-machines/linux/use-remote-desktop.md). Then, you publish the image so that students can RDP in to the student Linux VMs. |
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| Enable remote desktop connection | <p>The Data Science image is already configured to use X2Go so that teachers and students can connect using a GUI remote desktop. X2Go does *not* require the **Enable remote desktop connection** setting to be enabled. This setting only needs to be enabled if you choose to instead use RDP.
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>**Important**: Although we recommend using X2Go with the Data Science image, if you choose to instead use RDP, you will need to connect to the Linux VM using SSH the first time and install the RDP and GUI packages. Then, you/students can connect to the Linux VM using RDP later. For more information, see [Enable graphical remote desktop for Linux VMs](how-to-enable-remote-desktop-linux.md).
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The Data Science Virtual Machine for Linux image provides the necessary deep learning frameworks and tools required for this type of class. As a result, after the template machine creation, you don't need to customize it further. It can be published for students to use. Select the **Publish** button on template page to publish the template to the lab.
Copy file name to clipboardExpand all lines: articles/lab-services/classroom-labs/class-type-shell-scripting-linux.md
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| Lab settings | Value/instructions |
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| ------------ | ------------------ |
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| Virtual machine (VM) size | Small |
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| VM image | Ubuntu Server 18.04 LTS|
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| Enable remote desktop connection | Enable. <p>Enabling this setting will allow educators and students to connect to their VMs using the remote desktop (RDP). For more information, see [Enable remote desktop for Linux virtual machines in a lab in Azure Lab Services](how-to-enable-remote-desktop-linux.md#connect-to-the-template-vm). </p>|
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| VM image | Ubuntu Server 18.04 LTS|
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| Enable remote desktop connection | Enable. <p>Enabling this setting will allow teachers and students to connect to their VMs using the remote desktop (RDP). For more information, see [Enable remote desktop for Linux virtual machines in a lab in Azure Lab Services](how-to-enable-remote-desktop-linux.md). </p>|
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## Install desktop and xrdp
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The Ubuntu Server 18.04 LTS image doesn't have remote desktop server installed by default. Follow instructions in the [Install and configure Remote Desktop to connect to a Linux VM in Azure](../../virtual-machines/linux/use-remote-desktop.md) article to install the packages that are needed on the template machine to connect via remote desktop protocol.
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## Install desktop and RDP
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The Ubuntu Server 18.04 LTS image doesn't have the RDP remote desktop server installed by default. Follow instructions in the [Install and configure Remote Desktop to connect to a Linux VM in Azure](../../virtual-machines/linux/use-remote-desktop.md) article to install the packages that are needed on the template machine to connect via remote desktop protocol (RDP).
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## Install Ruby
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Ruby is an open-source dynamic language that can be combined with bash scripts. This section shows how to use `apt-get` to install the latest version of [Ruby](https://www.ruby-lang.org/).
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