vLLM is an open-source library aimed at optimizing the inference performance of large language models. It is designed to improve throughput and reduce latency, making it suitable for production environments.

Who is associated with vLLM?

vLLM is described by Red Hat, a well-known provider of open-source software solutions. This association highlights the library's relevance and credibility in the open-source community.

What are the main benefits of using vLLM?

The main benefits of using vLLM include improved throughput and reduced latency during the inference process of large language models. These enhancements make vLLM particularly useful for deploying LLMs in production environments.

vLLM

SoftwareApplication software Q137793309

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vLLM

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vLLM's described by source is recorded as Red Hat^[1].

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Described by source Red Hat

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CPC $17.03

Competition 0.01

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Described by source 1

Red Hat

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Direct Wikidata claims

[1] ↑ vLLM — described by source (P1343): Red Hat. wikidata.org.

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Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.

APA 4ort.xyz Knowledge Graph. (2026). vLLM. Retrieved May 3, 2026, from https://4ort.xyz/entity/vllm

MLA “vLLM.” 4ort.xyz Knowledge Graph, 4ort.xyz, 3 May. 2026, https://4ort.xyz/entity/vllm.

BibTeX

@misc{4ortxyz_vllm_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{vLLM}}, year = {2026}, url = {https://4ort.xyz/entity/vllm}, note = {Accessed: 2026-05-03}}

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According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): vLLM — https://4ort.xyz/entity/vllm (retrieved 2026-05-03)

Canonical URL: https://4ort.xyz/entity/vllm · Last refreshed: May 3, 2026

vLLM

vLLM

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