The account-level service limit

Question

I get the fallowing The account-level service limit error, even though I have already increased the quota value to 2. thanks for helping!

CODE:
# Create a SageMaker session with the specified region
Sagemaker_Session = sagemaker.Session()
# Define the JumpStart model
pretrained_model = JumpStartModel(model_id =jumpstart_model_name, role=my_role,sagemaker_session=Sagemaker_Session)

# Deploy the model to an endpoint
predictor = pretrained_model.deploy(
    instance_type=InstanceType,
    initial_instance_count=1,
    serializer=sagemaker.serializers.JSONSerializer(),
    deserializer=sagemaker.deserializers.JSONDeserializer()
)
    
ERROR:
 An error occurred (ResourceLimitExceeded) when calling the CreateEndpoint operation: The account-level service limit 'ml.g5.2xlarge for endpoint usage' is 0 Instances, with current utilization of 0 Instances and a request delta of 1 Instances. Please use AWS Service Quotas to request an increase for this quota. If AWS Service Quotas is not available, contact AWS support to request an increase for this quota.

Answer

Hi,

The precise guidance to solve your issue is here: https://repost.aws/knowledge-center/sagemaker-resource-limit-exceeded-error

Please, follow all its steps to be able to use this kind of instance.

Best,

Didier

The account-level service limit

Create a SageMaker session with the specified region

Define the JumpStart model

Deploy the model to an endpoint

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