The graphics processing unit (GPU) is the most critical component in training AI models. Nvidia's CEO and co- founder, Jensen Huang, invented the GPU in 1999, and AMD also makes GPUs. These devices have a unique trait: They can process multiple calculations in parallel. This makes them ideal for workloads that need intense computing power, like AI. Furthermore, users can compound this parallel computing effect by connecting multiple GPUs together in clusters, which can include more than 100,000 GPUs right n ...