vLLM is an open-source, high-throughput inference and serving engine for large language models, originally developed at UC Berkeley.
github.com/vllm-project/vllm92 stories about vLLM
5 from your feeds14 from searchvLLM is an AI platform. vLLM is an open-source, high-throughput inference and serving engine for large language models, originally developed at UC Berkeley. This page tracks 92 recent news stories about vLLM, curated from 30+ sources and updated every 15 minutes.
First tracked Jan 2025. Most-citing sources: r/LocalLLaMA (49), Medium (48), Towards AI (13), AWS ML Blog (5). Data aggregated by Best AI News Today from 30+ sources.
3 sources
Explore how vLLM can turn locally hosted LLMs into private, OpenAI-compatible AI services for applications, agents, and automation — while… Continue reading on Medium »
to r/Vllm
2 sources
vLLM is vLLM is an open-source, high-throughput inference and serving engine for large language models, originally developed at UC Berkeley.
vLLM is available at https://github.com/vllm-project/vllm.
As of today, there are 92 recent stories about vLLM. Recent headlines include: Deploying Phi-3 with vLLM on NVIDIA Triton Using Triton Control; vLLM, TGI, and SGLang: One of Them Stopped Being a Choice and Its Own Maintainer Will Tell You So; If you don't like how DeepSeek V4 Flash 0731 talks, give Motif 3 NVFP4 a try (custom vLLM only) -- probably the most underrated model right now. This page is updated every 15 minutes.
Yes — vLLM is open source. The source code is publicly available, allowing developers to inspect, modify, and self-host.
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