The `AWS::GameLiftStreams::Application` resource defines an Amazon GameLift Streams application.

An application specifies the content that you want to stream, such as a game or other software, and its runtime environment (Microsoft Windows, Ubuntu, or Proton).

Before you create an Amazon GameLift Streams application, upload your *uncompressed* game files (do not upload a .zip file) to an Amazon Simple Storage Service (Amazon S3) standard bucket.

CfnApplication

The location of the content that you want to stream.

Enter an Amazon S3 URI to a bucket that contains your game or other application. The location can have a multi-level prefix structure, but it must include all the files needed to run the content. Amazon GameLift Streams copies everything under the specified location.

This value is immutable. To designate a different content location, create a new application.

> The Amazon S3 bucket and the Amazon GameLift Streams application must be in the same AWS Region.

applicationSourceUri

A human-readable label for the application.

You can update this value later.

description

The relative path and file name of the executable file that Amazon GameLift Streams will stream.

Specify a path relative to the location set in `ApplicationSourceUri` . The file must be contained within the application's root folder. For Windows applications, the file must be a valid Windows executable or batch file with a filename ending in .exe, .cmd, or .bat. For Linux applications, the file must be a valid Linux binary executable or a script that contains an initial interpreter line starting with a shebang (' `#!` ').

executablePath

A set of configuration settings to run the application on a stream group.

This configures the operating system, and can include compatibility layers and other drivers.

runtimeEnvironment

An Amazon S3 URI to a bucket where you would like Amazon GameLift Streams to save application logs.

Required if you specify one or more `ApplicationLogPaths` .

applicationLogOutputUri

Locations of log files that your content generates during a stream session.

Enter path values that are relative to the `ApplicationSourceUri` location. You can specify up to 10 log paths. Amazon GameLift Streams uploads designated log files to the Amazon S3 bucket that you specify in `ApplicationLogOutputUri` at the end of a stream session. To retrieve stored log files, call [GetStreamSession](https://docs.aws.amazon.com/gameliftstreams/latest/apireference/API_GetStreamSession.html) and get the `LogFileLocationUri` .

applicationLogPaths

A list of labels to assign to the new application resource.

Tags are developer-defined key-value pairs. Tagging AWS resources is useful for resource management, access management and cost allocation. See [Tagging AWS Resources](https://docs.aws.amazon.com/general/latest/gr/aws_tagging.html) in the *AWS General Reference* .

CfnStreamGroup

A descriptive label for the stream group.

A set of one or more locations and the streaming capacity for each location.

One of the locations MUST be your primary location, which is the AWS Region where you are specifying this resource.

locationConfigurations

The target stream quality for sessions that are hosted in this stream group.

Set a stream class that is appropriate to the type of content that you're streaming. Stream class determines the type of computing resources Amazon GameLift Streams uses and impacts the cost of streaming. The following options are available:

A stream class can be one of the following:

- *`gen6n_pro_win2022` (NVIDIA, pro)* Supports applications with extremely high 3D scene complexity which require maximum resources. Runs applications on Microsoft Windows Server 2022 Base and supports DirectX 12. Compatible with Unreal Engine versions up through 5.6, 32 and 64-bit applications, and anti-cheat technology. Uses NVIDIA L4 Tensor Core GPU.

- Reference resolution: 1080p
- Reference frame rate: 60 fps
- Workload specifications: 16 vCPUs, 64 GB RAM, 24 GB VRAM
- Tenancy: Supports 1 concurrent stream session
- *`gen6n_pro` (NVIDIA, pro)* Supports applications with extremely high 3D scene complexity which require maximum resources. Uses dedicated NVIDIA L4 Tensor Core GPU.

- Reference resolution: 1080p
- Reference frame rate: 60 fps
- Workload specifications: 16 vCPUs, 64 GB RAM, 24 GB VRAM
- Tenancy: Supports 1 concurrent stream session
- *`gen6n_ultra_win2022` (NVIDIA, ultra)* Supports applications with high 3D scene complexity. Runs applications on Microsoft Windows Server 2022 Base and supports DirectX 12. Compatible with Unreal Engine versions up through 5.6, 32 and 64-bit applications, and anti-cheat technology. Uses NVIDIA L4 Tensor Core GPU.

- Reference resolution: 1080p
- Reference frame rate: 60 fps
- Workload specifications: 8 vCPUs, 32 GB RAM, 24 GB VRAM
- Tenancy: Supports 1 concurrent stream session
- *`gen6n_ultra` (NVIDIA, ultra)* Supports applications with high 3D scene complexity. Uses dedicated NVIDIA L4 Tensor Core GPU.

- Reference resolution: 1080p
- Reference frame rate: 60 fps
- Workload specifications: 8 vCPUs, 32 GB RAM, 24 GB VRAM
- Tenancy: Supports 1 concurrent stream session
- *`gen6n_high` (NVIDIA, high)* Supports applications with moderate to high 3D scene complexity. Uses NVIDIA L4 Tensor Core GPU.

- Reference resolution: 1080p
- Reference frame rate: 60 fps
- Workload specifications: 4 vCPUs, 16 GB RAM, 12 GB VRAM
- Tenancy: Supports up to 2 concurrent stream sessions
- *`gen6n_medium` (NVIDIA, medium)* Supports applications with moderate 3D scene complexity. Uses NVIDIA L4 Tensor Core GPU.

- Reference resolution: 1080p
- Reference frame rate: 60 fps
- Workload specifications: 2 vCPUs, 8 GB RAM, 6 GB VRAM
- Tenancy: Supports up to 4 concurrent stream sessions
- *`gen6n_small` (NVIDIA, small)* Supports applications with lightweight 3D scene complexity and low CPU usage. Uses NVIDIA L4 Tensor Core GPU.

- Reference resolution: 1080p
- Reference frame rate: 60 fps
- Workload specifications: 1 vCPUs, 4 GB RAM, 2 GB VRAM
- Tenancy: Supports up to 12 concurrent stream sessions
- *`gen5n_win2022` (NVIDIA, ultra)* Supports applications with extremely high 3D scene complexity. Runs applications on Microsoft Windows Server 2022 Base and supports DirectX 12. Compatible with Unreal Engine versions up through 5.6, 32 and 64-bit applications, and anti-cheat technology. Uses NVIDIA A10G Tensor Core GPU.

- Reference resolution: 1080p
- Reference frame rate: 60 fps
- Workload specifications: 8 vCPUs, 32 GB RAM, 24 GB VRAM
- Tenancy: Supports 1 concurrent stream session
- *`gen5n_high` (NVIDIA, high)* Supports applications with moderate to high 3D scene complexity. Uses NVIDIA A10G Tensor Core GPU.

- Reference resolution: 1080p
- Reference frame rate: 60 fps
- Workload specifications: 4 vCPUs, 16 GB RAM, 12 GB VRAM
- Tenancy: Supports up to 2 concurrent stream sessions
- *`gen5n_ultra` (NVIDIA, ultra)* Supports applications with extremely high 3D scene complexity. Uses dedicated NVIDIA A10G Tensor Core GPU.

- Reference resolution: 1080p
- Reference frame rate: 60 fps
- Workload specifications: 8 vCPUs, 32 GB RAM, 24 GB VRAM
- Tenancy: Supports 1 concurrent stream session
- *`gen4n_win2022` (NVIDIA, ultra)* Supports applications with extremely high 3D scene complexity. Runs applications on Microsoft Windows Server 2022 Base and supports DirectX 12. Compatible with Unreal Engine versions up through 5.6, 32 and 64-bit applications, and anti-cheat technology. Uses NVIDIA T4 Tensor Core GPU.

- Reference resolution: 1080p
- Reference frame rate: 60 fps
- Workload specifications: 8 vCPUs, 32 GB RAM, 16 GB VRAM
- Tenancy: Supports 1 concurrent stream session
- *`gen4n_high` (NVIDIA, high)* Supports applications with moderate to high 3D scene complexity. Uses NVIDIA T4 Tensor Core GPU.

- Reference resolution: 1080p
- Reference frame rate: 60 fps
- Workload specifications: 4 vCPUs, 16 GB RAM, 8 GB VRAM
- Tenancy: Supports up to 2 concurrent stream sessions
- *`gen4n_ultra` (NVIDIA, ultra)* Supports applications with high 3D scene complexity. Uses dedicated NVIDIA T4 Tensor Core GPU.

- Reference resolution: 1080p
- Reference frame rate: 60 fps
- Workload specifications: 8 vCPUs, 32 GB RAM, 16 GB VRAM
- Tenancy: Supports 1 concurrent stream session

streamClass

Object that identifies the Amazon GameLift Streams application to stream with this stream group.

defaultApplication

A list of labels to assign to the new stream group resource.

Tags are developer-defined key-value pairs. Tagging AWS resources is useful for resource management, access management and cost allocation. See [Tagging AWS Resources](https://docs.aws.amazon.com/general/latest/gr/aws_tagging.html) in the *AWS General Reference* .

AWS gameliftstreams

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CfnApplication

CfnStreamGroup

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