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Amazon WorkSpaces FAQs
Page topics
- General
16
- Bundles and Custom Images
11
- GPU-Enabled Bundles
7
- Windows BYOL
19
- Storage and Hardware Bundles
18
- Amazon Linux WorkSpaces
11
- Compliance and Security
25
- Encryption
21
- Client Access and User Experience
16
- Maintenance and Setup
19
- Billing and Pricing
23
- Free Tier
1
- Connectivity
8
- Directories
4
General
Open allFor Amazon Linux WorkSpaces, root volume is mapped to /, and user volume is mapped to /home.
For Windows, root volume is mapped to C: drive, and user volume is mapped to D: drive.
Bundles and Custom Images
Open allA: Amazon WorkSpaces come with a default set of applications at no additional cost. For an additional monthly fee, you can choose to have 32-bit Office 2016 Professional plus and Trend Micro Worry-Free Business Security installed by default on your WorkSpaces powered by Windows Server 2016. Or, have the following applications installed by default on your WorkSpaces powered by Windows Server 2019 and Windows Server 2022.
- Microsoft Office Professional Plus 2019
- Microsoft Office LTSC Professional Plus 2021
- Microsoft Visio LTSC Professional 2021
- Microsoft Project Professional 2021
- Microsoft Office LTSC Standard 2021
- Microsoft Visio LTSC Standard 2021
- Microsoft Project Standard 2021
In addition, WorkSpaces powered by Windows Server 2022 supports following applications.
- Microsoft Visual Studio Professional 2022
- Microsoft Visual Studio Enterprise 2022
For more information on how to manage these applications on your WorkSpaces, refer to Manage Applications.
A: For Amazon Linux, any application available in the Amazon Linux repositories is compatible and can be installed using yum install [package-name].
For Ubuntu WorkSpaces, you can install applications using Ubuntu Software by clicking its icon in the Dock or search for “Software” in the Activities search bar.
For Windows, any applications that are compatible with the operating system should run on your WorkSpaces. We recommend testing any software you would like to deploy on a "test" WorkSpace before delivering it to more users. You are responsible for ensuring that you remain compliant with any licensing restrictions associated with any software you intend to install on a WorkSpace.
GPU-Enabled Bundles
Open allA: Yes. Amazon WorkSpaces offers Graphics G4dn family.
The Graphics G4dn family includes two bundle options - Graphics.g4dn and GraphicsPro.g4dn. Both are based on the EC2 G4dn instances- the industry’s well-known versatile GPU instances for graphics applications that rely on NVIDIA GPU libraries such as OptiX. A Graphics.g4dn bundle is the good price performance in the cloud for mainstream graphics-intensive applications, such as engineering, design, and architectural applications. The GraphicsPro.g4dn bundle is for high-end graphics applications, such as media production, seismic visualization, and small-scale ML model training, and ML inference. See EC2 instance type page for more details about G4dn instances and NVIDIA T4 GPUs.
A: GPU-enabled bundles from Amazon WorkSpaces are cloud desktops optimized for workloads that benefit from graphics acceleration. You can choose the Graphics.g4dn or the GraphicsPro.g4dn bundle, depending on the performance requirements of your graphics workload and your cost requirements.
Graphics G4dn family includes two bundle options - Graphics.g4dn and GraphicsPro.g4dn. Both Graphics.g4dn and GraphicsPro.g4dn come with the RTX-capable NVIDIA T4 Tensor Core GPU that features multi-precision Turing Tensor Cores and RT Cores, Amazon Web Services custom second generation Intel® Xeon® Scalable (Cascade Lake) processors, up to 100 Gbps of networking throughput, and local NVMe storage designed for applications that require fast access to locally stored data. The g4dn-based bundles are optimized for streaming graphics-intensive applications that support accelerated ray tracing through NVIDIA OptiX and AI-enhanced visualization such as AI-denoising and deep learning super sampling (DLSS). These bundles can also be used for compute workloads such as data science and machine learning using NVIDIA libraries such as CUDA and NVIDIA’s GPU-accelerated deep learning frameworks.
The Graphics.g4dn bundles are suitable for customers seeking cost-effective GPU-enabled NVIDIA RTX virtual workstations to operate mainstream graphics-intensive applications, such as computer-aided design (CAD), simulation, and geospatial information systems (GIS) applications. A Graphics.g4dn bundle provides g4dn.xlarge instance with 4vCPUs, 16 GB of RAM, 16 GB of video memory, 125 GB of temporary NVMe SSD local instance store, and a minimum 100 GB of persistent storage for the user volume and root volumes. Graphics.g4dn bundles provide a Windows 10 virtual workstation experience.
The GraphicsPro.g4dn bundles are designed for high-end graphics workloads, such as media production, rendering, data science, architectural, and seismic visualization applications. Additionally, they are well suited for compute workloads including intelligent video analytics (IVA), small-scale ML model training, and ML inference. A graphicsPro.g4dn bundle offers 16vCPUs, 64 GB of RAM, 16 GB of video memory, 225 GB of temporary NVMe SSD local instance store, and a minimum 100 GB of persistent storage for the user volume and root volumes. GraphicsPro.g4dn bundles provide a Windows 10 virtual workstation experience. See EC2 instance type page for more details about G4dn instances and NVIDIA T4 GPUs.
A: All GPU-enabled WorkSpaces bundles come with a minimum 100 GB of persistent storage for the user volume and root volumes. You can select the amount of storage that you need for both root and user volumes when you launch new WorkSpaces, and you can increase storage allocations at any time. Data that users store on the “user volume” attached to the WorkSpace is automatically backed up to Amazon S3 on a regular basis.
Graphics G4dn bundles also come with local NVMe-based SSD storage known as the instance store. The instance store is ideal for temporary content like caches and buffers, because the data stored in instance store volumes is not persistent through instance stops, terminations, or hardware failures. Graphics.g4dn offers 125 GB of local instance storage and GraphicsPro.g4dn provides 225 GB of local instance store. You cannot change the size of local instance store. You will find the local instance store volume named as “E:\Temp_SSD” on your WorkSpace. Learn more about instance store lifetime, see Amazon EC2 Instance Store.
Windows BYOL
Open allIn order to ensure that you have adequate dedicated capacity allocated to your account, please reach out to your Amazon Web Services account manager or sales representative to enable your account for BYOL. alternatively, you can create a Technical Support case with Amazon WorkSpaces to get started with BYOL.
Once enabled for your account, it’s easy to bring your existing Windows 10 Desktop OS to Amazon WorkSpaces. First, import your existing Windows desktop OS using the VM Import API. Then create your new WorkSpaces image, based on the imported VM, using the Create Image action on the Images page in the Amazon WorkSpaces Console. Finally, create a custom WorkSpaces bundle using the Bundles tabs in the WorkSpaces Admin Console. You can then launch your newly created custom WorkSpaces bundle as new WorkSpaces for your users through the WorkSpaces Management console.
You can see more information on the BYOL process in our documentation.
No. Your custom WorkSpaces that support BYOL for Windows 10 Desktops are launched on physically dedicated hardware to meet license compliance requirements with Microsoft. WorkSpaces launched in a directory marked for dedicated hardware can only be from the custom bundle you created that has your Windows 10 Desktop image.
If you wish to launch WorkSpaces from public bundles to users in the same domain, you can create a new Amazon Web Services AD Connector directory that points to the same Microsoft Active Directory as your Windows 10 Desktop WorkSpaces, and launch WorkSpaces in that directory as you normally would through the Amazon Web Services Management Console or the WorkSpaces SDK and CLI.
A: For Microsoft Office 2016 or 2019 you can subscribe during BYOL image import. Office is automatically installed in the image during image creation. You can use this image spin up WorkSpaces and all those WorkSpace will be subscribed to Microsoft Office 2016 or 2019 based on your selection.
For Microsoft Office / Visio / Project 2021 and Visual Studio 2022, the BYOL import option is not applicable. You do not need to subscribe to these applications during BYOL import. You can directly install these applications on your WorkSpaces. For more information, refer to Manage Applications.
A: During BYOL image import operations, you have the option to select Microsoft Office Professional 2016 or 2019 for Windows 10 BYOL WorkSpaces and Microsoft Office Professional 2019 for Windows 11 BYOL WorkSpaces. You can also install following applications on your existing WorkSpaces.
- Microsoft Office LTSC Professional Plus 2021
- Microsoft Visio LTSC Professional 2021
- Microsoft Project Professional 2021
- Microsoft Office LTSC Standard 2021
- Microsoft Visio LTSC Standard 2021
- Microsoft Project Standard 2021
- Microsoft Visual Studio Professional 2022
- Microsoft Visual Studio Enterprise 2022
After you have created a BYOL image with the Office bundle installed, you can use the Amazon WorkSpaces migrate feature to migrate your existing BYOL WorkSpaces to ones with the Office bundle. All data in the latest snapshot of the original user volume will be retained after migration and the C drive will be newly created from the new image. You can migrate a WorkSpace created from a bundle that does not have Office provided by Amazon Web Services to another WorkSpace created from a bundle that has Amazon Web Services provided Microsoft Office and vice versa. Data on both root and user volumes are preserved upon migration.
Alternatively, you can use “Manage Applications” workflow to add or remove applications to or from your existing WorkSpaces. This option is applicable only for Office 2021, whereas the migration workflow will work for all the Office bundles.
Storage and Hardware Bundles
Open allNo. To ensure that your data is preserved, the volume sizes of either volume cannot be reduced after a WorkSpace is launched. You can launch a Value, Standard, Performance, Power or PowerPro WorkSpace with a minimum of 80 GB for the root volume and 10 GB for the user volume. You can launch a For more information about configurable storage, see GPU-enabled WorkSpace with a minimum of 100 GB for the root volume and 100 GB for the user volume. Modifying WorkSpaces.
In addition to the persistent storage for the root volume and the user volume, Graphics.g4dn offers 150 GB of temporary local storage and GraphicsPro.g4dn provides 225 GB of temporary local storage. You cannot change the size of the temporary local storage. You will find the temporary local storage volume named as “E:\Temp_SSD” on your WorkSpace. Learn more about instance store lifetime, see Amazon EC2 Instance Store.
You can change the size of your storage volumes via the Amazon WorkSpaces management console, or through the Amazon WorkSpaces API.
WorkSpaces users can also increase the size of their storage volume directly in the WorkSpaces client if this self-service management capability is enabled by the WorkSpaces administrator.
Yes, each Restore preserves your existing storage allocation size when using WorkSpaces default bundles. For example, restoring a WorkSpace with 80GB Root and 100GB User volumes will result in a rebuilt WorkSpace with 80GB Root and 100GB User.
If the storage allocation of a Custom bundle is increased and a linked WorkSpace is restored, the WorkSpace volumes will be increased to match the bundle’s new volume sizes.
Yes. You can switch between Value, Standard, Performance, Power, or PowerPro bundles by using the Amazon WorkSpaces management console or the WorkSpaces API. When you switch hardware bundles, your WorkSpaces restart immediately. When they resume, your operating system, applications, data, and allocated storage on both the root and user volumes are all preserved.
For example, you can launch a Standard bundle (2vCPU, 4 GiB), and later expand the volume size on both volumes to 500 GB. You can then switch to the Performance bundle (2vCPU, 7.5 GiB) while preserving your operating system, applications, and data in the expanded volume.
Users can also change their WorkSpaces bundle directly from the WorkSpaces client if this self-service management capability is enabled by their WorkSpaces administrator.
No. When you make a change, we start a WorkSpace that isn’t running, apply the bundle change, restart it so that the changes take effect, and then stop it again.
For example, you change the bundle type on a stopped Standard (2vCPU, 4 GiB) WorkSpace to Performance. We start your Standard WorkSpace, apply the bundle change, and restart it. Following the restart, your WorkSpace has Performance hardware (2vCPU, 7.5 GiB).
For either change, you get charged the monthly price for AlwaysOn or the monthly fee for AutoStop WorkSpaces prorated on a per day basis.
For example, if you increase the volume on the 10th of a month on an AlwaysOn Power WorkSpace with 175 GB, and 100 GB for root and user volumes respectively, you are charged the monthly price for the Power WorkSpace and the 20-day costs of additional 175 GB. Similarly, switching a bundle—for example, from Value to Standard—on the 15th of a month results in 15 days of Value WorkSpaces charge and 15 days of Standard WorkSpaces charge.
You can increase volume sizes or change a WorkSpace to a larger hardware bundle once in a 6-hour period. You can also change to a smaller hardware bundle once in a 30-day period. For a newly launched WorkSpace, you must wait 6 hours before requesting a larger bundle.
For example, if you increase the root and user volume of a Standard WorkSpace on 5th Dec at 11:00 AM and change it to Performance WorkSpace at the same time, on 5th Dec at 4:00 PM, you can again increase the root and user volume, and change the hardware bundle. If you change the Performance WorkSpace to a Standard WorkSpace on 6th Dec at 12:00 and want to go to a further smaller bundle (Value), you would be able to make this change on 6th Jan at 12:00.
Amazon Linux WorkSpaces
Open allCompliance and Security
Open allYou will have two ways to do this:
- 1. From the WorkSpaces management console on the ‘IP Access Controls’ page, you can create access control groups by selecting ‘Create IP Access Control Groups’ and entering a group name and description. You can then add rules to your IP Access Control Group by selecting the group and going to the Rules tab, selecting ‘Edit’ and adding up to 10 rules, entering the IP addresses to allow along with a description of each rule. You can apply your IP Access Control Groups to WorkSpaces Directories on the ‘Update Directory Details’ page. See IP Access Control Groups for details.
- From the Amazon Command Line Interface you can call Amazon WorkSpaces APIs to create, delete, and describe groups, create and delete rules from each group, and to add and remove groups from directories. See Amazon WorkSpaces API Reference for details.
You can create your unique URI links by following the WorkSpaces URI formatting documented in Customize How Users Log in to their WorkSpaces in the Amazon WorkSpaces Administration Guide. By providing these links to users, you enable them to use the URI on any device that has the WorkSpaces client installed. URI links can contain human-readable sensitive information if you choose to include the registration code, user name, and/or MFA information, so take precautions with how and whom you share URI information.
Q. How can I securely implement a URI for my WorkSpaces users?
WorkSpaces URIs are ideal for organizations that have an existing secure internal landing page or service portal where users access their applications. You can customize and then share the WorkSpaces URI to the portal, which gives users an easy way to access their WorkSpaces without requiring them to enter their user name and MFA multiple times or label their URI to remember which WorkSpaces registration code belongs which directory.
Encryption
Open allClient Access and User Experience
Open all• Apple iPadOS based iPad, iPad Pro, iPad Mini, iPad Air
• Android-compatible Chrome OS devices
• Android phones and tablets
While we expect other popular Android tablets running Android version 8.1 to work correctly with the Amazon WorkSpaces client, there may be some that are not compatible. If you are interested in support for a particular device, please let us know via the Amazon WorkSpaces forum.
• Keyboard, mouse, and touch input (touch input is only supported on tablet clients). Amazon WorkSpaces do not currently support a 3D mouse.
• Audio output to client device
• Analog and USB headsets
PCoIP Windows WorkSpaces support in-session USB redirection of locally attached YubiKey for Universal 2nd Factor (U2F) authentication from the WorkSpaces Windows client.
Yes. The Amazon WorkSpaces desktop client application will automatically scale the in-session display to match the DPI settings of the local device.
| Displays | Maximum Supported Resolution |
|---|---|
| 1 | 3840 x 2160 pixels |
| 2 | 3840 x 2160 pixels |
| 4 | 1920 x 1200 pixels |
Q: Will my bandwidth usage be higher when I use four monitors, or I use 4k Ultra HD resolution?
Yes. The bandwidth requirements for WorkSpaces depends on two factors (a) the number of screens it has to stream to and (b) the amount of pixel changes taking place in each screen.
Q: Will Amazon WorkSpaces remember my monitor settings between sessions?
The fullscreen mode setting will be preserved. If you quit a WorkSpaces session in the fullscreen mode, you will be able to log into the fullscreen mode next time. However, display configurations will not be saved. Every time you initiate a WorkSpaces session, the client application extracts the EDID of uses your local setup configuration and sends that to the WorkSpaces host to deliver an optimal display experience.
Q: What happens to my display settings when I connect to my WorkSpace from a different desktop?
When you connect from a different desktop computer, the display settings of that computer will take precedence to deliver an optimal display experience.
Q: Will the iPad and Android applications support Keyboard/Mouse input?
The Android and iPad clients support both keyboard and mouse input. While we expect most popular keyboard and mouse devices to work correctly, there may be devices that may not be compatible.
Q: What is the end user experience when Multi-Factor Authentication (MFA) is enabled?
Users will be prompted for their Active Directory username and password, followed by their OTP. Once a user passes both Active Directory and RADIUS validation, they will be logged in to their Amazon WorkSpace. To learn more, visit our documentation.
Q: Which languages are supported by Amazon WorkSpaces?
Amazon WorkSpaces bundles that provide the Windows desktop experience currently support Chinese (Simplified) and English (US). You can also download and install language packs for Windows directly from Microsoft. Amazon WorkSpaces client applications currently support English (US), German, Chinese (Simplified), Japanese, French (Canadian), Korean, and Portuguese.
Maintenance and Setup
Open allYes. Amazon WorkSpaces enables maintenance windows for both AlwaysOn and AutoStop WorkSpaces by default.
For AlwaysOn (monthly) WorkSpaces, the maintenance schedule is controlled by the OS settings on the WorkSpace. The default maintenance window is a four-hour period from 00h00 – 04h00 (this time window is based on the time zone settings you have set for your Amazon WorkSpaces) each Sunday morning. During this time your WorkSpaces may not be available.
For AutoStop (hourly) WorkSpaces, the default maintenance window is typically from 00h00 to 05h00 everyday starting on the 3rd Monday of the month in the time zone of the WorkSpaces’s Amazon Web Services region. The Maintenance window might take up to two weeks. WorkSpaces can be maintained on any day in the maintenance window. You can set the Maintenance mode for AutoStop WorkSpaces in the WorkSpaces management console. For more information see Manage the WorkSpace Running Mode. The maintenance window for AutoStop WorkSpaces is currently not configurable.
It is highly recommended to keep your WorkSpaces maintained regularly. If you want to run your own WorkSpaces maintenance schedule, it is possible to opt out of the service default maintenance windows for Windows WorkSpaces.
For AutoStop (hourly) WorkSpaces, you can disable the Maintenance mode on the console. For AlwaysOn Windows WorkSpaces, the maintenance window is controlled by the system settings and can be configured via Automatic Updates GPO settings. Currently, you cannot opt out of the maintenance windows for AlwaysOn Amazon Linux WorkSpaces.
Amazon WorkSpaces running Amazon Linux are updated via pre-configured Amazon Linux yum repositories hosted in each WorkSpaces region and the updates are automatically installed. Patches and updates requiring a reboot are installed during our weekly maintenance window.
For all other applications, updates can be delivered via the automatic update service for each application if one is available. For applications without an automatic update service, you will need to evaluate the software vendor’s recommended updating approach and follow that if necessary.
The WorkSpaces Management console lets you provision, restart, rebuild, restore, and delete WorkSpaces. To manage the underlying OS for the WorkSpaces, you can use standard Microsoft Active Directory tools such as Group Policy or your choice of Linux orchestration tools to manage the WorkSpaces. In the case when you have integrated WorkSpaces with an existing Active Directory domain, you can manage your WorkSpaces using the same tools and techniques you are using for your existing on-premises desktops. If you have not integrated with an existing Active Directory, you can set up a Directory Administration WorkSpace to perform management tasks. Please see the documentation for more information.
You can also give WorkSpaces users the ability to perform common tasks on their own by enabling self-service management. Once enabled, WorkSpaces users can do things like restart, rebuild, restore, increase volume size, change compute type, and change running mode directly from the WorkSpaces client with no IT or helpdesk intervention.
Billing and Pricing
Open allYes, you can switch from hourly to monthly billing for your Amazon WorkSpaces at any time by switching the running mode to AlwaysOn in the Amazon Web Services Management Console, or through the Amazon WorkSpaces APIs. When you switch, billing immediately changes from hourly to monthly, and you are charged a prorated amount at the monthly rate for the remainder of the month, along with the monthly and hourly usage fees already billed for the month. Your Amazon WorkSpaces will continue to be charged monthly unless you switch the running mode back to AutoStop.
You can switch from monthly to hourly billing by setting the running mode to AutoStop in the Amazon Web Services Management Console or through the Amazon WorkSpaces APIs. Switching from monthly to hourly billing will take effect the following month as you will have already paid for your Amazon WorkSpaces for that month. Your Amazon WorkSpaces will continue to be charged hourly unless you switch the running mode back to AlwaysOn. Your Amazon WorkSpaces will continue to be charged hourly unless you switch the running mode back to AlwaysOn. Please note that billing renewals happen at 00:00 Pacific Time on the first of each month.
WorkSpaces users can also switch between monthly and hourly billing directly from the WorkSpaces client if this self-service management capability is enabled by their WorkSpaces administrator.
Free Tier
Open allConnectivity
Open allDirectories
Open allThere are two ways you can integrate Amazon WorkSpaces with your on-premises Microsoft Active Directory (AD): you can set up an interforest trust relationship with your Amazon Web Services Microsoft AD domain controller, or you can use AD Connector to proxy AD authentication requests.
To configure an interforest trust relationship between your on-premises Microsoft AD and your Amazon Web Services Microsoft AD please see the documentation here. To configure AD Connector, please see the documentation here.
Once a trust is established, you can select the domain where your user accounts reside directly in the Amazon WorkSpaces console, and proceed to provisioning WorkSpaces for your users. Please note that usernames across domains need to be unique per instance of Amazon Web Services Microsoft AD.