Aggregated Architecture for Prefilling and Decoding

Static Batching

A technology company is optimizing its popular chatbot service, which is powered by a large language model and handles thousands of simultaneous user queries. To manage this high load, their engineers implement a system that waits to collect several user queries and processes them together as a single group in one computational step. Which of the following outcomes is the most direct and significant advantage of this approach?

Analyzing LLM Serving Strategies

Efficiency of Sequential vs. Batched Processing

Throughput-Latency Trade-off in LLM Inference

Simultaneous Token Generation in Batched Decoding

Sequence Concatenation in Disaggregated Inference