Scheduler in LLM Inference Systems

Inference Engine in LLM Systems

Request Processing Workflow in LLM Inference

A team is optimizing their system for serving a large language model. They observe that during peak traffic, many user requests fail with a timeout error before the model begins processing them. At the same time, monitoring shows that the hardware responsible for the model's computations is frequently idle. Based on this scenario, which of the following actions would most directly target the likely cause of this bottleneck?

A system designed to serve a large language model is composed of distinct parts, each with a specific job. Match each component with its primary responsibility within the system.

Optimizing an LLM Inference System

LLM Inference Architecture with Scheduling