Tiny-vLLM Inference Engine and Course Released on GitHub
A developer has released tiny-vllm, a high-performance LLM inference engine written in C++ and CUDA, alongside a comprehensive course that walks through implementing the engine from scratch. The project covers loading models from Safetensors, running prefill and decode, building CUDA kernels, KV cache, and more. It is intended as a learning resource for engineers and educators.
