I Built a Neural Network Inference Engine From Scratch in C++ (No PyTorch, No ONNX, Just AVX2)

The author built a custom neural network inference engine from scratch in C++ using only AVX2 instructions to bypass the heavy overhead of frameworks like PyTorch. The motivation stemmed from frustration with the massive runtime size and inefficiency of traditional frameworks for simple models. This effort highlights the potential for custom optimizations to significantly improve performance and reduce resource usage, offering insights into how inference could be more efficiently tailored to specific hardware.