Re: Ist Office 2021 Mit Windows 7 Kompatibel

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Ardith Hoefel

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Jul 14, 2024, 12:58:43 PM7/14/24
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A: To launch an Amazon WorkSpace from a custom image, you will first need to pair the custom image with a hardware type you want that WorkSpace to use, which results in a bundle. You can then publish this bundle through the console, then select the bundle when launching new WorkSpaces.

ist office 2021 mit windows 7 kompatibel


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A: As an administrator, you can create as many custom images as you need. Amazon WorkSpaces sets default limits, but you can request an increase in these limits here. To see the default limits for Amazon WorkSpaces, please visit our documentation.

A: As soon as you initiate a copy operation, you will be provided a unique identifier for the new Image being created as a copy of the original one. You can use that identifier to look up the status of that Image in the destination Region through the WorkSpaces console, APIs, or CLI.

A: No. There are no additional fees for copying Images across Regions. Maximum Image limits for your account in destination AWS Region will still apply. Once you reach this limit you will not be able to copy more Images.

A: All Amazon WorkSpaces launched after January 31, 2017, are built on general purpose solid-state drives (SSD) EBS volumes for both root and user volumes. Amazon WorkSpaces launched prior to January 31, 2017, are configured with EBS magnetic volumes. You can switch your Amazon WorkSpaces using magnetic EBS volumes to SSD EBS volumes by rebuilding them (more information can be found here). You can learn more about SSD EBS volumes here, and magnetic EBS volumes here.

A: You have flexibility in how you deploy the right set of applications to users. First, you choose which image type to build from, either basic or Plus, which determines the default applications that will be in the WorkSpaces. Second, you can install additional software on a WorkSpace and create a custom image which can be used to launch more WorkSpaces. For more detail see the bundle documentation.

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.

A: Yes. You can increase the size of the root and user volumes attached to your WorkSpaces at any time. When you launch new WorkSpaces, you can select bundled storage configurations for root and user volumes, or choose your preferred storage size greater than the provided storage configurations. For storage configurations with 80 GB Root volume, you can choose 10 GB, 50 GB, or 100 GB for User volume. You can use storage configurations with 175 GB to 2000 GB Root volume along with 100 GB to 2000 GB User volume. Please note that you need to set the Root volume to 175 GB in order to expand the User volume in the range of 100 GB to 1000 GB. After your WorkSpaces have been launched, you can only increase the size of the volumes using the above configurations to up to 2000 GB for each Root and User volume.

A: No. 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 GPU-enabled WorkSpace with a minimum of 100 GB for the root volume and 100 GB for the user volume. For more information about configurable storage, see Modifying WorkSpaces.

A: Yes, each rebuild preserves the storage allocation size for WorkSpaces when using default bundles. If a WorkSpace has its volumes extended, and is rebuilt, the larger volume sizes will be preserved, even if the bundle's drive sizes are smaller.

A: 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.

A: All data in the latest snapshot of the original user volume will be retained. For a Windows WorkSpace, the D drive data captured by the latest snapshot will be retained after migration and the C drive will be newly created from the target bundle image. In addition, migrate attempts to move data from the old user profile to the new one. Data that cannot be moved to the new profile will be preserved in a .notMigrated folder. For more information, please refer to the documentation.

A: WorkSpaces Migrate allows you to switch to a new bundle and have your user profile regenerated. Rebuild just refreshes your WorkSpace with a root volume generated from the base image of the original bundle.

A: No, configurable storage volumes are only available when using solid state drives (SSD). Any WorkSpaces launched before February 2017 might still use magnetic storage volumes. To switch from magnetic to SSD drives, rebuild your WorkSpaces.

A: The root volume size of WorkSpaces launched from a custom image is, by default, the same size as the custom image. For example, if your custom image has a root volume of 100 GB, all WorkSpaces launched from that image also have a root volume size of 100 GB. You can increase your root volume size when you launch your WorkSpace, or any time after that.

A: 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, 8.0 GiB) while preserving your operating system, applications, and data in the expanded volume.

A: Yes. You can take advantage of both these features even if you bring your own Windows desktop licenses. By default, you can switch WorkSpaces bundles for up to 20% of the total number of your WorkSpaces in a week. To switch more than 20% of your WorkSpaces, contact us.

A: 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.

A: Yes. Amazon WorkSpaces offers Graphics, GraphicsPro, and Graphics G4dn family.
A Graphics bundle is for general purpose graphics applications such as CAD/CAM software, commercial and industrial modeling, prototyping, and mainstream graphics development. Effective November 30, 2023, the Graphics bundle is no longer supported. We recommend migrating to the Graphics.g4dn bundle for WorkSpaces.

A GraphicsPro bundle is for performance intensive graphics and compute applications such as 3D visualizations, graphics rendering, video encoding, machine learning (ML), and high-end gaming. Graphics and GraphicsPro bundles are available in English and Japanese.

A: GPU-enabled bundles from Amazon WorkSpaces are cloud desktops optimized for workloads that benefit from graphics acceleration. You can choose the Graphics, the GraphicsPro, the Graphics.g4dn, or the GraphicsPro.g4dn bundle, depending on the performance requirements of your graphics workload and your cost requirements.

The Graphics bundles are well-suited for general-purpose graphics workloads, such as virtual desktops for office productivity and modern web applications. Each Graphics bundle comes with an NVIDIA GPU with 1,536 CUDA cores and 4 GB of video memory. Each Graphics bundle includes 8 vCPUs, 15 GiB of RAM, 4 GB of video memory, and 100 GB of storage on the user volume, and 100 GB of general-purpose persistent storage on the root volume. Graphics bundles provide a Windows desktop experience. Effective November 30, 2023, the Graphics bundle is no longer supported. We recommend migrating to the Graphics.g4dn bundle for WorkSpaces.

The GraphicsPro bundles are ideal for professional graphics applications such as computer aided design, manufacturing, and engineering software. GraphicsPro bundles come with a dedicated virtual workstation GPU, the NVIDIA M60 with 2048 parallel processing cores, and a hardware encoder capable of supporting up to 10 H.265 (HEVC) 1080p30 streams and up to 18 H.264 1080p30 streams. Each GraphicsPro bundle contains 16 vCPUs, 122 GiB of RAM, 8 GB of video memory, and a minimum of 100 GB for the root volume and 100 GB for the user volume. GraphicsPro bundles provide a Windows 10 virtual workstation experience.

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 and Ubuntu desktop 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 and Ubuntu desktop experience. See EC2 G4dn instances for more details about G4dn instances and NVIDIA T4 GPUs.

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