Module: AWSCDK::EC2::AcceleratorType

Defined in:

ec2/accelerator_type.rb

Overview

Hardware accelerator categories available for EC2 instances.

Defines the general type of hardware accelerator that can be attached to an instance, typically used in instance requirement specifications (e.g., GPUs for compute-intensive tasks, FPGAs for custom logic, or inference chips for ML workloads).

Constant Summary

GPU =

Deprecated.

Note:

Default:

Graphics Processing Unit accelerators, such as NVIDIA GPUs.

Commonly used for machine learning training, graphics rendering, or high-performance parallel computing.

Jsii::Enum.new("aws-cdk-lib.aws_ec2.AcceleratorType", "GPU")

FPGA =

Deprecated.

Note:

Default:

Field Programmable Gate Array accelerators, such as Xilinx FPGAs.

Used for hardware-level customization and specialized workloads.

Jsii::Enum.new("aws-cdk-lib.aws_ec2.AcceleratorType", "FPGA")

INFERENCE =

Deprecated.

Note:

Default:

Inference accelerators, such as AWS Inferentia.

Purpose-built for efficient machine learning inference.

Jsii::Enum.new("aws-cdk-lib.aws_ec2.AcceleratorType", "INFERENCE")

MEDIA =

Deprecated.

Note:

Default:

Media accelerators for video transcoding and processing workloads.

Jsii::Enum.new("aws-cdk-lib.aws_ec2.AcceleratorType", "MEDIA")