Why it matters

Batch inference differs from serving. Understanding shapes offline workloads.

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The architecture

Large batch sizes possible.

Sort by input length for batching efficiency.

Batch inference optimizationsBig batchesmax GPU utilizationSort by lengthreduce paddingStreaming inputno user waitingBatch inference 5-10x throughput vs online serving
Batch inference.
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How it works end to end

Length bucketing: group similar-length inputs.

Streaming input pipeline: overlap I/O + compute.

Frameworks: vLLM offline, TensorRT-LLM.