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AWS Cloud Control v1.50.0 published on Monday, Jan 26, 2026 by Pulumi
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pulumi/pulumi-aws-native

aws-native.gameliftstreams.StreamGroup

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We recommend new projects start with resources from the AWS provider.

AWS Cloud Control v1.50.0 published on Monday, Jan 26, 2026 by Pulumi
Schema (JSON)
pulumi/pulumi-aws-native

    Definition of AWS::GameLiftStreams::StreamGroup Resource Type

    Create StreamGroup Resource

    Resources are created with functions called constructors. To learn more about declaring and configuring resources, see Resources.

    Constructor syntax

    new StreamGroup(name: string, args: StreamGroupArgs, opts?: CustomResourceOptions);
    @overload
def StreamGroup(resource_name: str,
                args: StreamGroupArgs,
                opts: Optional[ResourceOptions] = None)

@overload
def StreamGroup(resource_name: str,
                opts: Optional[ResourceOptions] = None,
                description: Optional[str] = None,
                location_configurations: Optional[Sequence[StreamGroupLocationConfigurationArgs]] = None,
                stream_class: Optional[str] = None,
                default_application: Optional[StreamGroupDefaultApplicationArgs] = None,
                tags: Optional[Mapping[str, str]] = None)
    func NewStreamGroup(ctx *Context, name string, args StreamGroupArgs, opts ...ResourceOption) (*StreamGroup, error)
    public StreamGroup(string name, StreamGroupArgs args, CustomResourceOptions? opts = null)
    public StreamGroup(String name, StreamGroupArgs args)
public StreamGroup(String name, StreamGroupArgs args, CustomResourceOptions options)

    type: aws-native:gameliftstreams:StreamGroup
properties: # The arguments to resource properties.
options: # Bag of options to control resource's behavior.

    Parameters

    name string
    The unique name of the resource.
    args StreamGroupArgs
    The arguments to resource properties.
    opts CustomResourceOptions
    Bag of options to control resource's behavior.
    resource_name str
    The unique name of the resource.
    args StreamGroupArgs
    The arguments to resource properties.
    opts ResourceOptions
    Bag of options to control resource's behavior.
    ctx Context
    Context object for the current deployment.
    name string
    The unique name of the resource.
    args StreamGroupArgs
    The arguments to resource properties.
    opts ResourceOption
    Bag of options to control resource's behavior.
    name string
    The unique name of the resource.
    args StreamGroupArgs
    The arguments to resource properties.
    opts CustomResourceOptions
    Bag of options to control resource's behavior.
    name String
    The unique name of the resource.
    args StreamGroupArgs
    The arguments to resource properties.
    options CustomResourceOptions
    Bag of options to control resource's behavior.

    StreamGroup Resource Properties

    To learn more about resource properties and how to use them, see Inputs and Outputs in the Architecture and Concepts docs.

    Inputs

    In Python, inputs that are objects can be passed either as argument classes or as dictionary literals.

    The StreamGroup resource accepts the following input properties:

    Description string
    A descriptive label for the stream group.
    LocationConfigurations List<Pulumi.AwsNative.GameLiftStreams.Inputs.StreamGroupLocationConfiguration>
    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.
    StreamClass string

    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

    DefaultApplication Pulumi.AwsNative.GameLiftStreams.Inputs.StreamGroupDefaultApplication
    Object that identifies the Amazon GameLift Streams application to stream with this stream group.
    Tags Dictionary<string, string>
    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 in the AWS General Reference .
    Description string
    A descriptive label for the stream group.
    LocationConfigurations []StreamGroupLocationConfigurationArgs
    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.
    StreamClass string

    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

    DefaultApplication StreamGroupDefaultApplicationArgs
    Object that identifies the Amazon GameLift Streams application to stream with this stream group.
    Tags map[string]string
    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 in the AWS General Reference .
    description String
    A descriptive label for the stream group.
    locationConfigurations List<StreamGroupLocationConfiguration>
    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.
    streamClass String

    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

    defaultApplication StreamGroupDefaultApplication
    Object that identifies the Amazon GameLift Streams application to stream with this stream group.
    tags Map<String,String>
    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 in the AWS General Reference .
    description string
    A descriptive label for the stream group.
    locationConfigurations StreamGroupLocationConfiguration[]
    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.
    streamClass string

    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

    defaultApplication StreamGroupDefaultApplication
    Object that identifies the Amazon GameLift Streams application to stream with this stream group.
    tags {[key: string]: string}
    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 in the AWS General Reference .
    description str
    A descriptive label for the stream group.
    location_configurations Sequence[StreamGroupLocationConfigurationArgs]
    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.
    stream_class str

    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

    default_application StreamGroupDefaultApplicationArgs
    Object that identifies the Amazon GameLift Streams application to stream with this stream group.
    tags Mapping[str, str]
    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 in the AWS General Reference .
    description String
    A descriptive label for the stream group.
    locationConfigurations List<Property Map>
    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.
    streamClass String

    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

    defaultApplication Property Map
    Object that identifies the Amazon GameLift Streams application to stream with this stream group.
    tags Map<String>
    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 in the AWS General Reference .

    Outputs

    All input properties are implicitly available as output properties. Additionally, the StreamGroup resource produces the following output properties:

    Arn string
    An Amazon Resource Name (ARN) that uniquely identifies the stream group resource. For example: arn:aws:gameliftstreams:us-west-2:123456789012:streamgroup/sg-1AB2C3De4 .
    AwsId string
    An ID that uniquely identifies the stream group resource. For example: sg-1AB2C3De4 .
    Id string
    The provider-assigned unique ID for this managed resource.
    Arn string
    An Amazon Resource Name (ARN) that uniquely identifies the stream group resource. For example: arn:aws:gameliftstreams:us-west-2:123456789012:streamgroup/sg-1AB2C3De4 .
    AwsId string
    An ID that uniquely identifies the stream group resource. For example: sg-1AB2C3De4 .
    Id string
    The provider-assigned unique ID for this managed resource.
    arn String
    An Amazon Resource Name (ARN) that uniquely identifies the stream group resource. For example: arn:aws:gameliftstreams:us-west-2:123456789012:streamgroup/sg-1AB2C3De4 .
    awsId String
    An ID that uniquely identifies the stream group resource. For example: sg-1AB2C3De4 .
    id String
    The provider-assigned unique ID for this managed resource.
    arn string
    An Amazon Resource Name (ARN) that uniquely identifies the stream group resource. For example: arn:aws:gameliftstreams:us-west-2:123456789012:streamgroup/sg-1AB2C3De4 .
    awsId string
    An ID that uniquely identifies the stream group resource. For example: sg-1AB2C3De4 .
    id string
    The provider-assigned unique ID for this managed resource.
    arn str
    An Amazon Resource Name (ARN) that uniquely identifies the stream group resource. For example: arn:aws:gameliftstreams:us-west-2:123456789012:streamgroup/sg-1AB2C3De4 .
    aws_id str
    An ID that uniquely identifies the stream group resource. For example: sg-1AB2C3De4 .
    id str
    The provider-assigned unique ID for this managed resource.
    arn String
    An Amazon Resource Name (ARN) that uniquely identifies the stream group resource. For example: arn:aws:gameliftstreams:us-west-2:123456789012:streamgroup/sg-1AB2C3De4 .
    awsId String
    An ID that uniquely identifies the stream group resource. For example: sg-1AB2C3De4 .
    id String
    The provider-assigned unique ID for this managed resource.

    Supporting Types

    StreamGroupDefaultApplication, StreamGroupDefaultApplicationArgs

    Arn string
    An Amazon Resource Name (ARN) that uniquely identifies the application resource. Example ARN: arn:aws:gameliftstreams:us-west-2:111122223333:application/a-9ZY8X7Wv6 .
    Id string
    An ID that uniquely identifies the application resource. Example ID: a-9ZY8X7Wv6 .
    Arn string
    An Amazon Resource Name (ARN) that uniquely identifies the application resource. Example ARN: arn:aws:gameliftstreams:us-west-2:111122223333:application/a-9ZY8X7Wv6 .
    Id string
    An ID that uniquely identifies the application resource. Example ID: a-9ZY8X7Wv6 .
    arn String
    An Amazon Resource Name (ARN) that uniquely identifies the application resource. Example ARN: arn:aws:gameliftstreams:us-west-2:111122223333:application/a-9ZY8X7Wv6 .
    id String
    An ID that uniquely identifies the application resource. Example ID: a-9ZY8X7Wv6 .
    arn string
    An Amazon Resource Name (ARN) that uniquely identifies the application resource. Example ARN: arn:aws:gameliftstreams:us-west-2:111122223333:application/a-9ZY8X7Wv6 .
    id string
    An ID that uniquely identifies the application resource. Example ID: a-9ZY8X7Wv6 .
    arn str
    An Amazon Resource Name (ARN) that uniquely identifies the application resource. Example ARN: arn:aws:gameliftstreams:us-west-2:111122223333:application/a-9ZY8X7Wv6 .
    id str
    An ID that uniquely identifies the application resource. Example ID: a-9ZY8X7Wv6 .
    arn String
    An Amazon Resource Name (ARN) that uniquely identifies the application resource. Example ARN: arn:aws:gameliftstreams:us-west-2:111122223333:application/a-9ZY8X7Wv6 .
    id String
    An ID that uniquely identifies the application resource. Example ID: a-9ZY8X7Wv6 .

    StreamGroupLocationConfiguration, StreamGroupLocationConfigurationArgs

    LocationName string
    A location's name. For example, us-east-1 . For a complete list of locations that Amazon GameLift Streams supports, refer to Regions, quotas, and limitations in the Amazon GameLift Streams Developer Guide .
    AlwaysOnCapacity int
    This setting, if non-zero, indicates minimum streaming capacity which is allocated to you and is never released back to the service. You pay for this base level of capacity at all times, whether used or idle.
    MaximumCapacity int
    OnDemandCapacity int
    This shape is deprecated.
    TargetIdleCapacity int
    LocationName string
    A location's name. For example, us-east-1 . For a complete list of locations that Amazon GameLift Streams supports, refer to Regions, quotas, and limitations in the Amazon GameLift Streams Developer Guide .
    AlwaysOnCapacity int
    This setting, if non-zero, indicates minimum streaming capacity which is allocated to you and is never released back to the service. You pay for this base level of capacity at all times, whether used or idle.
    MaximumCapacity int
    OnDemandCapacity int
    This shape is deprecated.
    TargetIdleCapacity int
    locationName String
    A location's name. For example, us-east-1 . For a complete list of locations that Amazon GameLift Streams supports, refer to Regions, quotas, and limitations in the Amazon GameLift Streams Developer Guide .
    alwaysOnCapacity Integer
    This setting, if non-zero, indicates minimum streaming capacity which is allocated to you and is never released back to the service. You pay for this base level of capacity at all times, whether used or idle.
    maximumCapacity Integer
    onDemandCapacity Integer
    This shape is deprecated.
    targetIdleCapacity Integer
    locationName string
    A location's name. For example, us-east-1 . For a complete list of locations that Amazon GameLift Streams supports, refer to Regions, quotas, and limitations in the Amazon GameLift Streams Developer Guide .
    alwaysOnCapacity number
    This setting, if non-zero, indicates minimum streaming capacity which is allocated to you and is never released back to the service. You pay for this base level of capacity at all times, whether used or idle.
    maximumCapacity number
    onDemandCapacity number
    This shape is deprecated.
    targetIdleCapacity number
    location_name str
    A location's name. For example, us-east-1 . For a complete list of locations that Amazon GameLift Streams supports, refer to Regions, quotas, and limitations in the Amazon GameLift Streams Developer Guide .
    always_on_capacity int
    This setting, if non-zero, indicates minimum streaming capacity which is allocated to you and is never released back to the service. You pay for this base level of capacity at all times, whether used or idle.
    maximum_capacity int
    on_demand_capacity int
    This shape is deprecated.
    target_idle_capacity int
    locationName String
    A location's name. For example, us-east-1 . For a complete list of locations that Amazon GameLift Streams supports, refer to Regions, quotas, and limitations in the Amazon GameLift Streams Developer Guide .
    alwaysOnCapacity Number
    This setting, if non-zero, indicates minimum streaming capacity which is allocated to you and is never released back to the service. You pay for this base level of capacity at all times, whether used or idle.
    maximumCapacity Number
    onDemandCapacity Number
    This shape is deprecated.
    targetIdleCapacity Number

    Package Details

    Repository
    AWS Native pulumi/pulumi-aws-native
    License
    Apache-2.0
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    We recommend new projects start with resources from the AWS provider.

    AWS Cloud Control v1.50.0 published on Monday, Jan 26, 2026 by Pulumi
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    pulumi/pulumi-aws-native
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