Developing efficient and reliable applications involving complicated components such as artificial intelligence and machine learning is difficult even for experienced software engineers, so let's face it: Any previously built in model or template shortcut that helps smooth the way to a useful solution in such a development project is a good shortcut. Deci is a deep-learning software provider that uses AI to build AI-powered apps. The Tel Aviv-based company this week unveiled a new set of image classification models, dubbed DeciNets, specifically for servers using using Intel Cascade Lake central processing units (CPUs). While graphics processing units have conventionally been the hardware of choice for running power-intensive convolutional neural networks, CPUs -- far more commonly utilized for general computing -- serve as a much less-expensive alternative for many enterprises who already have them on hand. Although it is possible to run deep-learning inference on CPUs, they are significantly less powerful than GPUs; thus, deep learning models typically perform three to 10 times slower on a CPU than on a GPU.