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* 📖 **Readable codebase** - Clean implementation in ~ 1,200 lines of Python code
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* ⚡ **Optimization Suite** - Prefix caching, Tensor Parallelism, Torch compilation, CUDA graph, etc.
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## Requirements
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-**OS:** Linux
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-**GPU:** NVIDIA GPU with CUDA support
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-**Python:** 3.10 - 3.12
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`nano-vllm` relies on `triton` and `flash-attn` for high-performance custom CUDA kernels. These packages are currently only available on Linux platforms with NVIDIA GPUs.
[](https://www.star-history.com/#GeeeekExplorer/nano-vllm&Date)
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