# furiosa-opt Rust DSL

Frontier large language models write correct CUDA kernels for mature platforms, yet their accuracy collapses on accelerators whose architecture and programming language they have rarely seen. A multi-agent loop on the FuriosaAI RNGD NPU first builds its own target knowledge, a checked summary of the DSL documentation, chip facts measured by microbenchmarks and compiler-derived legality rules, then searches whole-kernel designs and small changes in per-kernel Design Trees. After 12 days the three Gemma-4-12B decode kernels reach a 9.293 geomean speedup over the official baseline, each within 1.25 of the cycles needed just to move its weights.

Frontier large language models write correct CUDA kernels for mature platforms, yet their accuracy collapses on accelerators whose architecture and programming language they have rarely seen. A multi-agent loop on the FuriosaAI RNGD NPU first builds its own target knowledge, a checked summary of the DSL documentation, chip facts measured by microbenchmarks and compiler-derived legality rules, then searches whole-kernel designs and small changes in per-kernel Design Trees. After 12 days the three Gemma-4-12B decode kernels reach a 9.293 geomean speedup over the official baseline, each within 1.25 of the cycles needed just to move its weights.