Benchmark and optimize endpoint deployment in Amazon SageMaker JumpStart 

Kyle Ulrich

When deploying a large language model (LLM), machine learning (ML) practitioners typically care about two measurements for model serving performance: latency, defined by the time it takes to generate a single token, and throughput, defined by the number of tokens generated per second. Although a single request to the deployed endpoint would exhibit a throughput […]

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Benchmark and optimize endpoint deployment in Amazon SageMaker JumpStart 

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