how to create a serverless endpoint in sagemaker?

Question

I followed the aws documentation ( https://docs.aws.amazon.com/sagemaker/latest/dg/serverless-endpoints-create.html#serverless-endpoints-create-config) to create a model and to use that model, i coded for a serverless endpoint config (sample code below) ,I have all the required values but this throws an error below and i'm not sure why

parameter validation failed unknown parameter inProductVariants [ 0 ]: "ServerlessConfig", must be one of : VairantName, ModelName, InitialInstanceCount , Instancetype...

response = client.create_endpoint_config( EndpointConfigName="abc", ProductionVariants=[ { "ModelName": "foo", "VariantName": "variant-1", "ServerlessConfig": { "MemorySizeInMB": 1024, "MaxConcurrency": 2 } } ] )

Marcin · Accepted Answer · 2022-02-17 03:45:39Z

1

You are probably using old boto3 version. ServerlessConfig is a very new configuration option. You need to upgrade to the latest version (1.21.1) if possible.

answered Feb 17, 2022 at 3:45

Marcin

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4 Comments

ozil Over a year ago

I'm doing this via lambda, with and import boto3 in my python code

Marcin Over a year ago

@ozil boto3 in lambda is limited. It is not like the "real" boto3. You can check what version you have using print(boto3.__version__). You have to bundle your own boto3 or use container lambda with new boto3.

ozil Over a year ago

thanks, can you point to me any examples on how to use real boto3

Marcin Over a year ago

@ozil The easiest way is to add it as a layer. There are prebuild public layers here (github.com/keithrozario/Klayers) which include boto3. You have to find boto3 layer arn for your region and python version, and add it to your function. I see it still not the newest version possible, but maybe it is new enough.

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