The power efficiency of the C5 is about one order of magnitude better than that of comparable GPU-based solutions, Cadence claims. It also offers an edge over neural network hardware accelerators: Since it is reprogrammable (in contrast to specialized, hardware-based accelerators) it is more flexible and future-proof. And since its functionality is implemented entirely in software with the development tools being widely available, the development is much easier, says Desai. Neural Network libraries will be available once the final version of the C5 will hit the markets. Besides automotive applications which certainly will represent the largest market, Cadence also plans to sell it to manufacturers of drones and security systems or any other kind of applications where neural-network based recognition algorithms are used to perform object detection and recognition.