Build your own high performance LLM inference engine in C++ and CUDA - a smaller version of vLLM
Learn to build a fast engine for running large language models with C++ and CUDA.
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Free · no card · unsubscribe anytimeBuild your own high performance LLM inference engine in C++ and CUDA - a smaller version of vLLM
tiny-vllm has 1.1k stars on GitHub. It has been forked 84 times. tiny-vllm is written mainly in C++. It has been in active development since 2026. tiny-vllm is available under the Apache-2.0 license. Its main topics are ai, attention, batching, course.
Build your own high performance LLM inference engine in C++ and CUDA - a smaller version of vLLM
tiny-vllm is an open-source project. It is released under the Apache-2.0 license.
Yes. tiny-vllm is free and open source — you can use, modify and self-host it.
tiny-vllm is available under the Apache-2.0 license.
tiny-vllm is written mainly in C++.
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