The AI Evolution Calls for Adaptable Inferencing Platforms

Deep learning's demand for computing power is growing at an incredible rate, accelerating recently from doubling every year to doubling every three months. Increasing the capacity of deep neural network (DNN) models has shown improvements across a wide range of areas ranging from natural language processing to image processing. Learn why the adoption of FPGA-based adaptable inferencing platforms are required for the next generation of AI system design.