vLLM is an open-source, high-throughput inference and serving engine for large language models, originally developed at UC Berkeley.
github.com/vllm-project/vllm247 stories about vLLM
6 from your feedssearching across sources...vLLM 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 247 recent news stories about vLLM, curated from 30+ sources and updated every 15 minutes.
First tracked Jan 2025. Most-citing sources: Medium (71), r/LocalLLaMA (71), Towards AI (26), AWS ML Blog (10). Data aggregated by Best AI News Today from 30+ sources.
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When a B200 GPU heats up, the important question is not simply“What is its temperature?” Continue reading on Medium »
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 247 recent stories about vLLM. Recent headlines include: vLLM Semantic Router Releases d3-ultra: A 27B Open Multimodal Decision Model; Should GPU temperature influence how we scale vLLM pods?; DeepSeek Open Source Breakthrough: vLLM & SGLang Overtake Its Performance Overnight, Elevating LLM Inference Speed Competition to New Heights. 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.
