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Model serving: latency, batching and deployment patterns

Model serving: from notebook to 10k requests per second

Training a model is one thing. Making it respond within 50ms under 1k RPS is another. Serving is engineering: load the model once at startup, efficient preprocessing, GPU batching, horizontal scaling. Bad serving means a GPU sits idle 95% of the time—or two-second latencies.

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