Why is pytorch compile so fast?

This article explains how PyTorch's Inductor compiler enhances performance by fusing operations into efficient Triton kernels, reducing GPU overhead and memory traffic. It discusses the concept of vertical fusion, demonstrates pointwise fusion, and compares fused and unfused implementations. The author encourages developers to leverage torch.compile for optimizing their models, highlighting the significant performance improvements achievable with minimal changes to existing code.