GitHub - vllm-project/vllm: A high-throughput and memory-efficient ...
Originally developed in the Sky Computing Lab at UC Berkeley, vLLM has grown into one of the most active open-source AI projects built and maintained by a diverse community of many dozens of …
vLLM · GitHub
TPU inference for vLLM, with unified JAX and PyTorch support. This repo hosts code for vLLM CI & Performance Benchmark infrastructure. vLLM has 43 repositories available. Follow their code on …
vLLM
Easy, fast, and cheap LLM serving for everyone. vLLM is a fast and easy-to-use library for LLM inference and serving.
vLLM
We collect donation through GitHub and OpenCollective. We plan to use the fund to support the development, maintenance, and adoption of vLLM.
vLLM Blog | vLLM is a fast and easy-to-use library for LLM inference ...
Jun 2, 2026 · vLLM is a fast and easy-to-use library for LLM inference and serving.
vllm · PyPI
Jun 13, 2026 · Originally developed in the Sky Computing Lab at UC Berkeley, vLLM has grown into one of the most active open-source AI projects built and maintained by a diverse community of many …
Welcome to vLLM! — vLLM
vLLM is a fast and easy-to-use library for LLM inference and serving. vLLM is fast with: State-of-the-art serving throughput Efficient management of attention key and value memory with PagedAttention …
vllm | A high-throughput and memory-efficient inference and serving ...
It compares the performance of vLLM against other LLM serving engines (TensorRT-LLM, SGLang and LMDeploy). The implementation is under nightly-benchmarks folder and you can reproduce this …
vLLM - Wikipedia
vLLM is an open-source software framework for inference and serving of large language models and related multimodal models.
Releases · vllm-project/vllm - GitHub
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