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Dynamic batching: the single biggest throughput lever in model serving
A model server processing one request at a time pays fixed costs for every execution:
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From pickle to production: wrapping a model in a real API that won’t fall over
Training a machine learning model is only half the job. The other half is making it available reliably, safely, and predictably.