#1Making Deep Learning Go Brrrr from First Principles
A deep technical explainer on optimizing GPU performance for deep learning by understanding three fundamental bottlenecks: compute, memory bandwidth, and overhead. The key insight is that operator fusion — combining multiple operations to reduce expensive memory transfers — is the single most impactful optimization strategy. The article also explains why GPUs dominate matrix multiplication through specialized hardware, and how to empirically measure which regime your system is in.