An overview of modern LLM compiler stack: writing an interactive and hackable compiler

In three linesA developer built a minimal ML compiler in pure Python/CUDA without external dependencies. It lowers transformers (TinyLlama, Qwen2.5-7B) through 6 successive IRs down to CUDA kernels. On RTX 5090, achieves 0.96× PyTorch production stack performance, with 32/84 kernel shapes beating hand-optimized kernels (up to 5.6× speedup).

Summary generated by Claude — human-verified