The CEVA Deep Neural Network (CDNN) is a comprehensive compiler technology that creates fully-optimized runtime software for CEVA-XM Vision DSPs and NeuPro AI processors. Targeted for mass-market embedded devices, CDNN incorporates a broad range of network optimizations, advanced quantization algorithms, data flow management and fully-optimized compute CNN and RNN libraries into a holistic solution that enables cloud-trained AI models to be deployed on edge devices for inference processing.

The CDNN compiler enable an extremely simple and streamlined transition of existing deep neural networks to an embedded environment. NeuPro AI processor ensure superior performance with minimal power consumption. Separately, each component of the CDNN compiler is a powerful enabler of embedded imaging and vision applications. Combined, these pieces deliver an ultimate toolkit to support new network structures and changing layer types of deep neural networks.

CEVA supplies a full development platform for partners and developers based on the CEVA-XM and NeuPro architectures to enable the development of deep learning applications using the CDNN, targeting any advanced network.