Time for AI to get specialized?

Aurora will be required to multi-task, hence the necessity for powerful GPUs. Hazra said: "As high-performance computing moves from traditional modeling and simulation to the advent of data, there will be a drive for diverse computing needs, which will [spur] a new tailwind for heterogeneous computing. "One size doesn't fit all. We must look at the architectures [and how they are] tuned to the various needs of this era. "If you need a general-purpose solution then Ponte Vecchio has already described its leadership performance [for] when you get those workloads that have tremendous bandwidth requirements and dense floating-point operations. "If you were then to take the next step and say'I am very, very interested in the best possible performance for AI deep learning, Training and Inference,' that's what our NNP families are for.