Part 5/16:
Furthermore, Nvidia's early recognition of the potential of GPUs—initially designed for graphics rendering—to serve as universal function approximators proved prophetic. Neural networks, especially large-scale deep learning models, are ideally suited for parallel computation, leveraging GPU architectures. Jensen Huang's insight in the early 2010s transformed Nvidia into a leader not just in graphics but in accelerated AI computing.