Why Onspecta?

Deep Learning Networks are typically trained in the Cloud using GPUs. The focus is on accuracy and there are few resource constraints. When a trained network gets deployed as a part of a deep learning application, whether in the cloud or on edge devices, inference is the critical task, and various resource, power and cost constraints come into play.

With no loss of accuracy and no need for retraining, OnSpecta's software optimizes trained networks to their deployment environment. Our software accelerates inference performance and reduces power consumption, memory usage and cost. It seamlessly works with major frameworks like TensorFlow and Caffe.