Episode 9 dives into the evolution of the Graphics Processing Unit (GPU)—from a niche component for rendering video game graphics to a core engine of modern computing. We begin by explaining how GPUs differ from CPUs: while CPUs handle sequential tasks, GPUs are built for parallel processing, making them ideal for handling massive amounts of data simultaneously.

The episode traces the rise of companies like NVIDIA, and how the launch of CUDA in 2006 allowed developers to use GPUs for more than graphics—unlocking their potential for scientific computing, machine learning, and AI workloads.

We also explore how GPUs now power everything from data centers and autonomous vehicles to crypto mining and large-scale simulations. No longer limited to gaming, the GPU has become a pillar of next-generation computing—driven by advances in semiconductor density, cooling technologies, and software optimization.

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