Show HN: Tiny-vLLM – high performance LLM inference engine in C++ and CUDA
Category: infrastructure
Tags: llm-inference, cuda, education
Score: 7.3/10 (Innovation: 6, Technical: 8, Documentation: 9, Utility: 6)
Tiny-vLLM is a high-performance LLM inference engine built from scratch in C++ and CUDA, serving as an educational codebase and course that implements advanced techniques like PagedAttention and continuous batching. It is interesting because it combines a fully functional inference server with a detailed step-by-step learning resource, making complex CUDA kernel and LLM internals accessible.
Target audience: backend devs, data engineers, ai-ml engineers
Repository: https://github.com/jmaczan/tiny-vllm · C++ · Apache-2.0 · 567 stars
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