[HN]score: 0.32
Tiny-vLLM: C++ and CUDA LLM Inference Engine With Full Course Included
May 29, 2026
Tiny-vLLM is a from-scratch LLM inference engine in C++ and CUDA targeting Llama 3.2 1B Instruct, implementing PagedAttention, FlashAttention-like kernels, continuous batching, and KV cache. It ships alongside a structured course walking through each component, making it a rare combination of production-relevant code and educational resource.
HOW THIS AFFECTS YOU
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builderYou can use this as a reference implementation to understand or customize low-level inference stack components, particularly CUDA kernel design for attention and batching.
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researcherProvides a clean, annotated implementation of PagedAttention and online softmax from scratch, useful for understanding or modifying inference-time compute behavior.