DNNDK™ (Deep Neural Network Development Kit) - DeePhi™ deep learning SDK, is designed as an integrated framework, which aims to simplify & accelerate DL (Deep Learning) applications development and deployment on DeePhi DPU™ (Deep Learning Processor Unit) platform. (Click DNNDK
for more information.)
In order to compute convolutional neural networks (CNN) , DeePhi designed the Aristotle Architecture from the ground up. While currently used for video and image recognition tasks, the architecture is flexible and scalable for both servers and portable devices.
DeePhi's Descartes Architecture is designed for compressed Recurrent Neural Networks (RNN) including LSTM. By taking advantage of sparsity, the DeePhi Descartes Architecture can achieve over 2.5 TOPS on a KU060 FPGA at 300MHz allowing for instantaneous speech recognition, natural language processing, and many other recognition tasks.