Deep Learning models on the Edge using XILINX FPGA processors : YantraVision

#Announcement(IoTStack) #Company [ via IoTGroup ]
#Organizer : Yantra Vision

Conclusion

The Xilinx Edge AI platform is built on adaptable compute platform that retains the flexibility to change as per latest innovation (allowing only domain specific architectures to be updated) while delivering on low latency and end to end acceleration. The Xilinx Deep Learning Processor Unit (DPU) is part of the EDGE AI stack and is a programmable engine dedicated for convolutional neural network (CNN). The DPU IP can be integrated as a block in the programmable logic (PL) of the selected Zynq-7000 SoC and Zynq UltraScale™+ MPSoC devices with direct connections to the processing system (PS). Yantravision has extensive capability in building and training our own neural network models. We also have the capability to implement on Deep Learning using Xilinx Edge AI. For details regarding building a Deep Learning solution on Xilinx from scratch write to us at sales@yantravision.com

Read More..
Working BoT 0.6976805238 Build 23 Aug 2019