The post details building a fast LLM inference engine from scratch using C++ and CUDA without relying on libraries. It focuses on single-GPU inference, optimizing token throughput, and surpassing llama.cpp performance. Key highlights include understanding LLM architectures, inference mechanics, and memory bandwidth bottlenecks
Table of contents
Fast LLM Inference From Scratch1. Recap: LLM architectures and inference2. Inference on the CPU3. Inference on the GPU4. What’s nextSort: