An operations team monitors an LLM inference system and notices that the hardware responsible for model execution is consistently underutilized, even when there is a continuous stream of user requests waiting to be processed. This leads to lower-than-expected overall system throughput. In a standard workflow where requests are grouped into batches by a scheduler before being processed, what is the most probable explanation for this specific performance issue?

Arrange the following stages of a typical request processing workflow in a Large Language Model (LLM) inference system into the correct chronological order, from the initial arrival of a request to the final output.

Diagram of the LLM Inference Workflow

LLM Inference Scheduling Strategy