Deployment & Inference · Level 3 of 5
Dynamic Batching
Combining arriving requests into batches at runtime.
The batching window trades latency for efficiency.
Example
A server briefly collects requests before one shared inference call.
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Dynamic Batching. Combining arriving requests into batches at runtime. The batching window trades latency for efficiency. For example: A server briefly collects requests before one shared inference call.
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Why it matters
This helps you balance prediction quality with memory, latency, and throughput.
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