computeType

@JvmName(name = "raydkfnffedbqtpb")

@JvmName(name = "ypnmbaypmwtgibxu")

value

Information about the compute resources the build project uses. Available values include:

BUILD_GENERAL1_SMALL: Use up to 3 GB memory and 2 vCPUs for builds.
BUILD_GENERAL1_MEDIUM: Use up to 7 GB memory and 4 vCPUs for builds.
BUILD_GENERAL1_LARGE: Use up to 16 GB memory and 8 vCPUs for builds, depending on your environment type.
BUILD_GENERAL1_XLARGE: Use up to 70 GB memory and 36 vCPUs for builds, depending on your environment type.
BUILD_GENERAL1_2XLARGE: Use up to 145 GB memory, 72 vCPUs, and 824 GB of SSD storage for builds. This compute type supports Docker images up to 100 GB uncompressed.
BUILD_LAMBDA_1GB: Use up to 1 GB memory for builds. Only available for environment type LINUX_LAMBDA_CONTAINER and ARM_LAMBDA_CONTAINER.
BUILD_LAMBDA_2GB: Use up to 2 GB memory for builds. Only available for environment type LINUX_LAMBDA_CONTAINER and ARM_LAMBDA_CONTAINER.
BUILD_LAMBDA_4GB: Use up to 4 GB memory for builds. Only available for environment type LINUX_LAMBDA_CONTAINER and ARM_LAMBDA_CONTAINER.
BUILD_LAMBDA_8GB: Use up to 8 GB memory for builds. Only available for environment type LINUX_LAMBDA_CONTAINER and ARM_LAMBDA_CONTAINER.
BUILD_LAMBDA_10GB: Use up to 10 GB memory for builds. Only available for environment type LINUX_LAMBDA_CONTAINER and ARM_LAMBDA_CONTAINER.

If you use BUILD_GENERAL1_SMALL:

For environment type LINUX_CONTAINER, you can use up to 3 GB memory and 2 vCPUs for builds.
For environment type LINUX_GPU_CONTAINER, you can use up to 16 GB memory, 4 vCPUs, and 1 NVIDIA A10G Tensor Core GPU for builds.
For environment type ARM_CONTAINER, you can use up to 4 GB memory and 2 vCPUs on ARM-based processors for builds.

If you use BUILD_GENERAL1_LARGE:

For environment type LINUX_CONTAINER, you can use up to 15 GB memory and 8 vCPUs for builds.
For environment type LINUX_GPU_CONTAINER, you can use up to 255 GB memory, 32 vCPUs, and 4 NVIDIA Tesla V100 GPUs for builds.
For environment type ARM_CONTAINER, you can use up to 16 GB memory and 8 vCPUs on ARM-based processors for builds.

If you're using compute fleets during project creation, computeType will be ignored.

For more information, see Build Environment Compute Types in the CodeBuild User Guide.

@JvmName(name = "cnqujfkkmymrshrc")

argument

Information about the compute resources the build project uses. Available values include:

BUILD_GENERAL1_SMALL: Use up to 3 GB memory and 2 vCPUs for builds.
BUILD_GENERAL1_MEDIUM: Use up to 7 GB memory and 4 vCPUs for builds.
BUILD_GENERAL1_LARGE: Use up to 16 GB memory and 8 vCPUs for builds, depending on your environment type.
BUILD_GENERAL1_XLARGE: Use up to 70 GB memory and 36 vCPUs for builds, depending on your environment type.
BUILD_GENERAL1_2XLARGE: Use up to 145 GB memory, 72 vCPUs, and 824 GB of SSD storage for builds. This compute type supports Docker images up to 100 GB uncompressed.
BUILD_LAMBDA_1GB: Use up to 1 GB memory for builds. Only available for environment type LINUX_LAMBDA_CONTAINER and ARM_LAMBDA_CONTAINER.
BUILD_LAMBDA_2GB: Use up to 2 GB memory for builds. Only available for environment type LINUX_LAMBDA_CONTAINER and ARM_LAMBDA_CONTAINER.
BUILD_LAMBDA_4GB: Use up to 4 GB memory for builds. Only available for environment type LINUX_LAMBDA_CONTAINER and ARM_LAMBDA_CONTAINER.
BUILD_LAMBDA_8GB: Use up to 8 GB memory for builds. Only available for environment type LINUX_LAMBDA_CONTAINER and ARM_LAMBDA_CONTAINER.
BUILD_LAMBDA_10GB: Use up to 10 GB memory for builds. Only available for environment type LINUX_LAMBDA_CONTAINER and ARM_LAMBDA_CONTAINER.

If you use BUILD_GENERAL1_SMALL:

For environment type LINUX_CONTAINER, you can use up to 3 GB memory and 2 vCPUs for builds.
For environment type LINUX_GPU_CONTAINER, you can use up to 16 GB memory, 4 vCPUs, and 1 NVIDIA A10G Tensor Core GPU for builds.
For environment type ARM_CONTAINER, you can use up to 4 GB memory and 2 vCPUs on ARM-based processors for builds.

If you use BUILD_GENERAL1_LARGE:

For environment type LINUX_CONTAINER, you can use up to 15 GB memory and 8 vCPUs for builds.
For environment type LINUX_GPU_CONTAINER, you can use up to 255 GB memory, 32 vCPUs, and 4 NVIDIA Tesla V100 GPUs for builds.
For environment type ARM_CONTAINER, you can use up to 16 GB memory and 8 vCPUs on ARM-based processors for builds.

If you're using compute fleets during project creation, computeType will be ignored.

For more information, see Build Environment Compute Types in the CodeBuild User Guide.