# Article Compares Continuous and Static Batching in LLM Inference

> Source: <https://letsdatascience.com/news/article-compares-continuous-and-static-batching-in-llm-infer-534398b2>
> Published: 2026-06-30 20:04:48+00:00

For practitioners: batching strategy affects throughput and latency in LLM inference workloads. The piece compares continuous batching and static batching and explains how **vLLM** and **TGI** improve throughput and reduce latency.

## Key Points

- 1What: direct comparison of continuous batching and static batching in LLM inference.
- 2Why: batching choice changes request mixing and GPU utilization, affecting throughput and latency tradeoffs.
- 3So what:
**vLLM** and**TGI** demonstrate techniques that improve throughput and reduce latency.

## Scoring Rationale

Practical, implementation-focused comparison relevant to engineers optimizing inference pipelines; highlights **vLLM** and **TGI** techniques that address throughput and latency.

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