Vllm
vllm.ai
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Overview
VLLM is a high-throughput and memory-efficient inference and serving engine for Large Language Models (LLMs). Deploy AI models faster with state-of-the-art performance. Easy, fast, and cost-efficient LLM serving for everyone.
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SemiAnalysis (@SemiAnalysis_) on X
The @vllm_project maintainers at @inferact are some of the most cracked engineers in the world. They're building one of the inference engines that powers much of the world's intelligence-and doing so with remarkable dedication, kindness, and hard work.
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TAIONE Open Source Foundation and Embedded LLM Collaborate to Build Taiwan
TAIPEI, Taiwan, Aug. 10, 2026 (GLOBE NEWSWIRE) -- TAIONE Open Source Foundation and Embedded LLM today announced a collaboration to build Taiwan...
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Inside vLLM: Anatomy of a High-Throughput LLM Inference System - Aleksa Gordić
From paged attention, continuous batching, prefix caching, specdec, etc. to multi-GPU, multi-node dynamic serving at scale.
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Mixture-of-Models for Heterogeneous LLM Inference
We believe Mixture-of-Models is the next-generation model architecture for heterogeneous LLM inference. vLLM Semantic Router makes it executable.
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