limits

@JvmName(name = "yubbaqishnisoqoy")
suspend fun limits(value: Output<Map<String, String>>)
@JvmName(name = "spymnmhmekpcnnpn")
suspend fun limits(value: Map<String, String>?)

Parameters

value

The type and quantity of the resources to reserve for the container. The values vary based on the name that's specified. Resources can be requested using either the limits or the requests objects.

  • memory - The memory hard limit (in MiB) for the container, using whole integers, with a "Mi" suffix. If your container attempts to exceed the memory specified, the container is terminated. You must specify at least 4 MiB of memory for a job. memory can be specified in limits , requests , or both. If memory is specified in both places, then the value that's specified in limits must be equal to the value that's specified in requests .

To maximize your resource utilization, provide your jobs with as much memory as possible for the specific instance type that you are using. To learn how, see Memory management in the AWS Batch User Guide .

  • cpu - The number of CPUs that's reserved for the container. Values must be an even multiple of 0.25 . cpu can be specified in limits , requests , or both. If cpu is specified in both places, then the value that's specified in limits must be at least as large as the value that's specified in requests .

  • nvidia.com/gpu - The number of GPUs that's reserved for the container. Values must be a whole integer. memory can be specified in limits , requests , or both. If memory is specified in both places, then the value that's specified in limits must be equal to the value that's specified in requests .


@JvmName(name = "xnexipdvtbbwiwxi")
fun limits(vararg values: Pair<String, String>)

Parameters

values

The type and quantity of the resources to reserve for the container. The values vary based on the name that's specified. Resources can be requested using either the limits or the requests objects.

  • memory - The memory hard limit (in MiB) for the container, using whole integers, with a "Mi" suffix. If your container attempts to exceed the memory specified, the container is terminated. You must specify at least 4 MiB of memory for a job. memory can be specified in limits , requests , or both. If memory is specified in both places, then the value that's specified in limits must be equal to the value that's specified in requests .

To maximize your resource utilization, provide your jobs with as much memory as possible for the specific instance type that you are using. To learn how, see Memory management in the AWS Batch User Guide .

  • cpu - The number of CPUs that's reserved for the container. Values must be an even multiple of 0.25 . cpu can be specified in limits , requests , or both. If cpu is specified in both places, then the value that's specified in limits must be at least as large as the value that's specified in requests .

  • nvidia.com/gpu - The number of GPUs that's reserved for the container. Values must be a whole integer. memory can be specified in limits , requests , or both. If memory is specified in both places, then the value that's specified in limits must be equal to the value that's specified in requests .