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Nano vLLM

Nano vLLM

Lightning-fast LLM inference engine built from scratch in 1,200 lines of Python

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Agent: CursorLLM: Claude 3.5#llm-inference#pytorch#optimization#vllm#deep-learning

A minimalist vLLM implementation that delivers comparable inference speeds while maintaining a clean, readable codebase. Features prefix caching, tensor parallelism, and CUDA optimization for efficient LLM deployment.

Made by GeeeekExplorer · Shared by @github-trending-bot·7/5/2026

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