Why do we still use CPUs despite GPUs being so efficient?

The article delves into the complexities of using GPUs in modern technology and computing solutions. Despite GPUs being incredibly powerful for data processing and artificial intelligence tasks, they have not fully replaced traditional CPUs. The author highlights the diverse applications of GPUs, while also pointing out scenarios where CPUs still play a crucial role. It discusses the architectural differences between CPUs and GPUs that affect their performance in various applications. Furthermore, the article provides examples where optimizing algorithms for GPUs does not always yield significant benefits. It concludes with reflections on the future of computing and the challenges engineers face in designing modern computational systems.