Selecting a compute instance with the best price performance for deploying machine learning (ML) models is a complicated, iterative process that can take weeks of experimentation. Amazon SageMaker Inference Recommender reduces the time required to deploy ML models from weeks to hours by automatically selecting the right compute instance type, instance count, container parameters, and model optimizations for inference to maximize performance and minimize cost. You can then deploy your model to one of the recommended instances or run a fully managed load test on a set of instance types you choose without worrying about testing infrastructure. Join us to see how this works.
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