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Which combination is optimal for running models with low latency on terminals placed at airport entry/exit gates and achieving an operation that does not constantly depend on the cloud?
①Perform edge inference using only AWS Lambda.
②Use AWS Device Farm to test at the edge.
③Send everything to Amazon Kinesis Data Streams and perform inference in the cloud.
④Compile a model with SageMaker Neo and run it at the edge using AWS IoT Greengrass
⑤Deliver models using Amazon CloudFront