Race for AI Chips Begins EE Times

The key to this new tool is that N2D2 doesn't just compare different hardware on the basis of recognition accuracy. It can compare hardware in terms of "processing time, hardware cost, and energy consumption." This is critical, said Duranton, because different applications for deep learning will likely require different parameters in various hardware implementations. The N2D2 offers benchmarking on a variety of commercial off-the-shelf hardware -- including multi/many-core CPUs, GPUs and FPGA. Barriers to edge computing As a research organization, CEA has been studying how best to bring deep neural networks to edge computing.