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Improved ML model deployment using Amazon SageMaker Inference Recommender

AWS Machine Learning Blog

With advancements in hardware design, a wide range of CPU- and GPU-based infrastructures are available to help you speed up inference performance. Analyze the default and advanced Inference Recommender job results, which include ML instance type recommendation latency, performance, and cost metrics. sm_client = boto3.client("sagemaker",

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Build a personalized avatar with generative AI using Amazon SageMaker

AWS Machine Learning Blog

We have also added automated preprocessing to extract your face from each photo. It also provides a built-in queuing mechanism for queuing up requests, and a task completion notification mechanism via Amazon SNS, in addition to other native features of SageMaker hosting such as auto scaling. amazonaws.com/djl-inference:0.21.0-deepspeed0.8.3-cu117"