Modern processors incorporate thousands of optimizations, but the real focus should be on performance outcomes rather than just labels like GPU or TPU. A significant shift has occurred from using CPUs for training to leveraging GPUs, primarily due to their parallelism capabilities. Excitingly, new advancements are making low precision training feasible, marking a pivotal moment in the field. The conclusion is clear: it finally works, despite the challenges faced along the way.
