Accelerate your Hardware for DNN models
As new Deep Learning models evolve and the model structure becomes more complex, more computing resources are needed.That’s exactly why product teams start looking at options for hardware acceleration.
FPGAs for high computing tasks
Our VLSI engineers have executed several projects for clients which include implementation of quality inspection machine vision cameras for the assembly line and real time inferences for endoscopy images on popular FPGA platforms by Xilinx, Lattice and Intel.
Get your Top 6 reasons eBook and learn why engineers are choosing FPGA for hardware acceleration of DNN models.