#vllm

#vllm

vLLM outperforms other models in handling higher request rates while maintaining low latencies through efficient memory management.

PagedAttention optimizes memory usage in language model serving, significantly improving throughput while minimizing KV cache waste.

Large Language Models often exceed single GPU limits, requiring advanced distributed execution techniques for memory management.

vLLM utilizes FCFS scheduling and an all-or-nothing eviction policy to effectively manage resources and prioritize fairness in request handling.