AIML Masteryabout 3 hours ago
Static vs. Dynamic vs. Continuous Batching in LLM Inference
1 min read
Static, dynamic, and continuous batching are three methods for grouping inference requests in LLM serving. Continuous batching dynamically adds and removes requests per step, improving GPU utilization and throughput over static and dynamic approaches.
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