Amazon SageMaker
Developer Guide


Contains information about the output location for the compiled model and the device (target) that the model runs on.



Identifies the S3 path where you want Amazon SageMaker to store the model artifacts. For example, s3://bucket-name/key-name-prefix.

Type: String

Length Constraints: Maximum length of 1024.

Pattern: ^(https|s3)://([^/]+)/?(.*)$

Required: Yes


Identifies the device that you want to run your model on after it has been compiled. For example: ml_c5.

Type: String

Valid Values: lambda | ml_m4 | ml_m5 | ml_c4 | ml_c5 | ml_p2 | ml_p3 | jetson_tx1 | jetson_tx2 | jetson_nano | rasp3b | deeplens | rk3399 | rk3288 | aisage | sbe_c | qcs605 | qcs603

Required: Yes

See Also

For more information about using this API in one of the language-specific AWS SDKs, see the following:

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