In recent years, large language models have been increasingly influencing people's lives and professions. The open-source machine learning library vLLM enhances the inference speed of large language models through the PagedAttention algorithm, effectively managing key-value cache memory and increasing throughput. Equipped with PagedAttention, vLLM achieves the best standards for LLM services without altering the model architecture. Researchers have found that vLLM increases throughput for well-known LLMs by 2-4 times compared to other systems.