AI demands a different procesor unit, not the present CPU, GPU and FPGA turbo

Moore's law is no more that valid in terms of costs, and the present mass-used CPU architectures hardly handles streaming real-time high-bandwidth data without latency. They also consume lot of power. The long lasted Von Neumann architecture is sliding towards obsolescence. GPUs and FPGA accelerators could provide bypass to the processing bottlenecks for some data types. But that's a temporary relief to improve efficiency of present computer architecture. Like addition of turbo to diesel internal combustion engine. Future human brain type computing processors need a new processing engine similar to the electric motor replacing gasoline engine in automotives. And in fact autonomous driving demands modern architecture computer to deliver fast processing, consuming 10s of watts instead of 100s of watts, and decide with zero error while driving a car on a highway with speeding traffic. In series of articles, we will bring to you processors and other related products emerging in this area: 1. Intelligence Processing Unit (IPU) from Graphcore Systems: Graphcore designed a new intelligent processor unit designed for machine learning workloads. The IPU employs massively parallel neural network like, low-precision floating-point processing with graph software tools and libraries. Graphcore is also offering its Poplar software framework supporting current and future machi...