NanoEuler – GPT-2 scale model in pure C/CUDA from scratch

NanoEuler is a from-scratch implementation of a GPT-2 scale language model written in pure C and CUDA, designed for developers and researchers who want to understand the low-level mechanics of transformer inference and training without relying on high-level frameworks like PyTorch. It is interesting because it demonstrates how to achieve production-grade neural network performance using only raw GPU kernels and manual memory management, offering deep educational insight into the hardware-software interface of modern AI.