AITowards Data Scienceabout 2 hours ago
How To Build Your Own LLM Runtime From Scratch
1 min read
A tutorial builds a custom C++/CUDA inference engine for Qwen2.5-Coder-7B-Instruct on NVIDIA H100. The runtime achieves ~16.7 ms/token decode with CUDA graphs, a 7x improvement over eager mode. Three key bugs taught warp specialization, graph necessity, and INT4 packing. Llama.cpp serves as the reference implementation for comparison.
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