Making the shift from GPUs to 'brainier' computing in edge AI

GPUs are great for tasks that can be broken up into multiple parts and processed in parallel. If you think of the central processing (CPU) of your laptop as its'brain', the GPU is like a swarm of tiny, specialized'brains'. Chipmakers are cranking up their GPUs to keep up with the exploding demand for AI in everything from chatbots to the computer vision of guided missiles. Industry leader Nvidia reported $5 billion revenue in the last quarter. Amid the heady commercial success of GPU makers, it is hard to make a business case for a new approach.