# AcceleratorName

Specific hardware accelerator models supported by EC2.

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

- Source: [`aws-ec2/lib/instance-requirements.ts`](https://github.com/aws/aws-cdk/blob/v2.275.0/packages/aws-cdk-lib/aws-ec2/lib/instance-requirements.ts#L66)
- Type last changed: v2.236.0 · 23 Jan 2026

## Example

```ts
declare const vpc: ec2.Vpc;

const securityGroup = new ec2.SecurityGroup(this, 'SecurityGroup', {
  vpc,
  description: 'Security group for managed instances',
});

const miCapacityProvider = new ecs.ManagedInstancesCapacityProvider(this, 'MICapacityProvider', {
  subnets: vpc.privateSubnets,
  securityGroups: [securityGroup],
  instanceRequirements: {
    // Required: CPU and memory constraints
    vCpuCountMin: 2,
    vCpuCountMax: 8,
    memoryMin: Size.gibibytes(4),
    memoryMax: Size.gibibytes(32),

    // CPU preferences
    cpuManufacturers: [ec2.CpuManufacturer.INTEL, ec2.CpuManufacturer.AMD],
    instanceGenerations: [ec2.InstanceGeneration.CURRENT],

    // Instance type filtering
    allowedInstanceTypes: ['m5.*', 'c5.*'],

    // Performance characteristics
    burstablePerformance: ec2.BurstablePerformance.EXCLUDED,
    bareMetal: ec2.BareMetal.EXCLUDED,

    // Accelerator requirements (for ML/AI workloads)
    acceleratorTypes: [ec2.AcceleratorType.GPU],
    acceleratorManufacturers: [ec2.AcceleratorManufacturer.NVIDIA],
    acceleratorNames: [ec2.AcceleratorName.T4, ec2.AcceleratorName.V100],
    acceleratorCountMin: 1,

    // Storage requirements
    localStorage: ec2.LocalStorage.REQUIRED,
    localStorageTypes: [ec2.LocalStorageType.SSD],
    totalLocalStorageGBMin: 100,

    // Network requirements
    networkInterfaceCountMin: 2,
    networkBandwidthGbpsMin: 10,

    // Cost optimization
    onDemandMaxPricePercentageOverLowestPrice: 10,
  },
});
```

## Members

| Member | Description |
| --- | --- |
| `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. |
| `A10G` | NVIDIA A10G GPU. |
| `H100` | NVIDIA H100 GPU. |
| `INFERENTIA` | AWS Inferentia chips. |
| `K520` | NVIDIA GRID K520 GPU. |
| `T4G` | NVIDIA T4G GPUs. |
| `L40S` | NVIDIA L40S GPU for AI inference and graphics workloads. |
| `L4` | NVIDIA L4 GPU for AI inference and graphics workloads. |
| `GAUDI_HL_205` | Habana Gaudi HL-205 accelerator for deep learning training. |
| `INFERENTIA2` | AWS Inferentia2 chips for high-performance ML inference. |
| `TRAINIUM` | AWS Trainium chips for high-performance ML training. |
| `TRAINIUM2` | AWS Trainium2 chips for high-performance ML training. |
| `U30` | Xilinx U30 media transcoding accelerator for video processing. |

## Referenced by

- [`InstanceRequirementsConfig`](/v2/docs/aws-cdk-lib.aws_ec2.InstanceRequirementsConfig).acceleratorNames