[ aws . elastic-inference ]
Describes the accelerator types available in a given region, as well as their characteristics, such as memory and throughput.
See also: AWS API Documentation
See ‘aws help’ for descriptions of global parameters.
describe-accelerator-types
[--cli-input-json | --cli-input-yaml]
[--generate-cli-skeleton <value>]
[--cli-auto-prompt <value>]
--cli-input-json
| --cli-input-yaml
(string)
Reads arguments from the JSON string provided. The JSON string follows the format provided by --generate-cli-skeleton
. If other arguments are provided on the command line, those values will override the JSON-provided values. It is not possible to pass arbitrary binary values using a JSON-provided value as the string will be taken literally. This may not be specified along with --cli-input-yaml
.
--generate-cli-skeleton
(string)
Prints a JSON skeleton to standard output without sending an API request. If provided with no value or the value input
, prints a sample input JSON that can be used as an argument for --cli-input-json
. Similarly, if provided yaml-input
it will print a sample input YAML that can be used with --cli-input-yaml
. If provided with the value output
, it validates the command inputs and returns a sample output JSON for that command.
--cli-auto-prompt
(boolean)
Automatically prompt for CLI input parameters.
See ‘aws help’ for descriptions of global parameters.
acceleratorTypes -> (list)
The available accelerator types.
(structure)
The details of an Elastic Inference Accelerator type.
acceleratorTypeName -> (string)
The name of the Elastic Inference Accelerator type.
memoryInfo -> (structure)
The memory information of the Elastic Inference Accelerator type.
sizeInMiB -> (integer)
The size in mebibytes of the Elastic Inference Accelerator type.
throughputInfo -> (list)
The throughput information of the Elastic Inference Accelerator type.
(structure)
A throughput entry for an Elastic Inference Accelerator type.
key -> (string)
The throughput value of the Elastic Inference Accelerator type. It can assume the following values: TFLOPS16bit: the throughput expressed in 16bit TeraFLOPS. TFLOPS32bit: the throughput expressed in 32bit TeraFLOPS.
value -> (integer)
The throughput value of the Elastic Inference Accelerator type.