AcceleratorManufacturer

class aws_cdk.aws_ec2.AcceleratorManufacturer(*values)

Bases: Enum

Supported hardware accelerator manufacturers.

Restricts instance selection to accelerators from a particular vendor. Useful for choosing specific ecosystems (e.g., NVIDIA CUDA, AWS chips).

ExampleMetadata:

infused

Example:

# vpc: ec2.Vpc


security_group = ec2.SecurityGroup(self, "SecurityGroup",
    vpc=vpc,
    description="Security group for managed instances"
)

mi_capacity_provider = ecs.ManagedInstancesCapacityProvider(self, "MICapacityProvider",
    subnets=vpc.private_subnets,
    security_groups=[security_group],
    instance_requirements=ec2.InstanceRequirementsConfig(
        # Required: CPU and memory constraints
        v_cpu_count_min=2,
        v_cpu_count_max=8,
        memory_min=Size.gibibytes(4),
        memory_max=Size.gibibytes(32),

        # CPU preferences
        cpu_manufacturers=[ec2.CpuManufacturer.INTEL, ec2.CpuManufacturer.AMD],
        instance_generations=[ec2.InstanceGeneration.CURRENT],

        # Instance type filtering
        allowed_instance_types=["m5.*", "c5.*"],

        # Performance characteristics
        burstable_performance=ec2.BurstablePerformance.EXCLUDED,
        bare_metal=ec2.BareMetal.EXCLUDED,

        # Accelerator requirements (for ML/AI workloads)
        accelerator_types=[ec2.AcceleratorType.GPU],
        accelerator_manufacturers=[ec2.AcceleratorManufacturer.NVIDIA],
        accelerator_names=[ec2.AcceleratorName.T4, ec2.AcceleratorName.V100],
        accelerator_count_min=1,

        # Storage requirements
        local_storage=ec2.LocalStorage.REQUIRED,
        local_storage_types=[ec2.LocalStorageType.SSD],
        total_local_storage_gBMin=100,

        # Network requirements
        network_interface_count_min=2,
        network_bandwidth_gbps_min=10,

        # Cost optimization
        on_demand_max_price_percentage_over_lowest_price=10
    )
)

Attributes

AMD

AMD (e.g., Radeon Pro V520 GPU).

AWS

Amazon Web Services (e.g., Inferentia, Trainium accelerators).

HABANA

Habana Labs(e.g, Gaudi accelerator).

NVIDIA

NVIDIA (e.g., A100, V100, T4, K80, M60 GPUs).

XILINX

Xilinx (e.g., VU9P FPGA).