AcceleratorName

class aws_cdk.aws_ec2.AcceleratorName(*values)

Bases: Enum

Specific hardware accelerator models supported by EC2.

Defines exact accelerator models that can be required or excluded when selecting instance types.

ExampleMetadata:

infused

Example:

# infrastructure_role: iam.Role
# instance_profile: iam.InstanceProfile
# vpc: ec2.Vpc


mi_capacity_provider = ecs.ManagedInstancesCapacityProvider(self, "MICapacityProvider",
    infrastructure_role=infrastructure_role,
    ec2_instance_profile=instance_profile,
    subnets=vpc.private_subnets,
    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

A100

NVIDIA A100 GPU.

K80

NVIDIA K80 GPU.

M60

NVIDIA M60 GPU.

RADEON_PRO_V520

AMD Radeon Pro V520 GPU.

T4

NVIDIA T4 GPU.

V100

NVIDIA V100 GPU.

VU9P

Xilinx VU9P FPGA.