Tuesday, 2 April 2019

New Python Script Announced To Begin With Amazon Elastic Inference

Amazon Elastic Inference (EI) enables you to join low-cost GPU-powered escalation to Amazon EC2 and Amazon SageMaker instances to lessen the cost of executing deep learning inference by up to 75%. Amazon EI gives assistance to TensorFlow, Apache MXNet, and ONNX models, with more frameworks coming soon. Now, Amazon EI is presented in four regions US East, US West, EU, and Asia Pacific. If for the first time you are utilizing Amazon EI, then setting up your environment to start instances to Amazon EI can require time. You will require to setup a number of dependencies containing AWS PrivateLink VPC Endpoints, AWS IAM policies, and security group rules before you can utilize Amazon EI accelerators. Now, AWS announced a new python script which makes it simple to start with Amazon Elastic Inference by producing the required resources which will aid you start Amazon EI accelerators in minutes. The script will make sure that all settings are accurately configured and instance is started with necessary authorizations to use Amazon EI. To get further information on how to use the Amazon EI python script, refer Launch EI accelerators in minutes with the Amazon Elastic Inference setup tool for EC2. You can download the amazonei_setup.py script from GitHub to your local machine and execute it from your terminal using command: $ python amazonei_setup.py

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