That Free Korean NPU the Government Hands Out — Can You Actually Use It? Notes From Porting an Unsupported Model

Moving a persona-deviation detector (an mmBERT-based classifier) that we served on GPU in production onto a Korean NPU (Rebellions ATOM+) — the journey from recognizing the problem to writing the adapter, compiling on real hardware, and benchmarking.

July 7, 2026 · 13 min · rick

Neural Network Compilation, Made Simple — How a PyTorch Model Becomes Hardware Language

What exactly does it mean to ‘compile a model’? From the difference with eager execution to graph capture, operator fusion, kernel lowering, static shapes, and memory planning — we walk through it step by step with diagrams and an interactive demo.

July 6, 2026 · 9 min · rick