Tag: LLM serving

How to Choose Batch Sizes to Minimize Cost per Token in LLM Serving

Learn how to choose the right batch size for LLM serving to minimize cost per token. Discover optimal ranges for text generation, classification, and Q&A, plus advanced techniques like continuous batching.

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Batched Generation in LLM Serving: How Request Scheduling Impacts Outputs

Batched generation in LLM serving uses dynamic request scheduling to boost throughput by 3-5x. Learn how continuous batching, PagedAttention, and learning-to-rank algorithms make AI responses faster and cheaper - and why most systems still get it wrong.

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