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  • Scheduler-Driven Batch Adjustments Between Iterations in Continuous Batching

Sequence Ordering

An LLM inference engine processes requests in iterative cycles. Arrange the following events to show the correct sequence for a single cycle where the active batch of requests is modified.

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Updated 2025-10-10

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Gemini AI
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Ch.5 Inference - Foundations of Large Language Models

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  • An LLM inference system is processing a batch of user requests. An observer notes the following: At the start of one processing step, the active batch contains requests {A, B, C, D}. Immediately before the next processing step begins, the active batch contains requests {A, C, E}. Based on this observation, what is the most fundamental principle of this system's batch management strategy?

  • Inference Batch Management Scenario

  • An LLM inference engine processes requests in iterative cycles. Arrange the following events to show the correct sequence for a single cycle where the active batch of requests is modified.

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