What v means in vllm？

General
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very？Vectorized ？ or virtual memory？

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您的问题比较模糊，请问您是想了解vLLM的“vectorized”优化，还是“虚拟内存（virtual memory）”相关机制？能否补充一下具体场景或需求？

如果是“vectorized”，vLLM在采样、注意力等核心算子中大量采用向量化（vectorized）操作以提升吞吐和效率，例如采样和KV缓存的内存布局都做了向量化优化；如果是“virtual memory”，vLLM的PagedAttention等机制涉及高效的KV缓存管理，部分实现会用到虚拟内存技术（如UVA、UVM）以支持大模型推理和CPU/GPU协同。详细见官方文档。请问需要哪方面的详细解释？

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I want to know what the full name of vllm is

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The “v” in vLLM originally stood for “virtual,” inspired by virtual memory and paging in operating systems, but it can also represent other ideas like “velocity” or “victory.” There is no single official expansion; the project is simply called “vLLM” (see discussion).

Would you like more detail on the naming history or technical background?

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