The vLLM implementation employs a first-come-first-serve (FCFS) scheduling policy that prioritizes fairness in handling requests, ensuring that no request starves due to preemption.
vLLM's unique challenge lies in managing variable input lengths and uncertain output sizes, necessitating efficient memory management to prevent the depletion of GPU resources.
To address memory constraints, vLLM adopts an all-or-nothing eviction policy, evicting blocks of a sequence as a whole, rather than individual blocks.
The management strategies employed by vLLM, including a KV cache manager and a dedicated preemption policy, significantly enhance the efficiency of LLM service delivery.
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